When a malfunction occurs in a marine main engine system, the impact of the anomaly will propagate through the system, affecting the performance of all relevant components in the system. The phenomenon of fault propagation in the system caused by induced factors can interfere with fault localization, making the latter a difficult task to solve. This paper aims at showing how the "characteristic curves method" is able to properly locate malfunctions also when more malfunctions appear simultaneously. To this end, starting from the working principle of each component of a real marine diesel engine system, comprehensive and reasonable thermal performance parameters are chosen to describe their characteristic curves and include them in a one-dimensional thermodynamic model. In particular, the model of a low-speed two stroke MAN 6S50 MC-C8.1 diesel engine is built using the AVL Boost software and obtaining errors lower than 5% between simulated values and test bench data. The behavior of the engine is simulated considering eight multi-fault concomitant phenomena. On this basis, the fault diagnosis method proposed in this paper is verified. The results show that this diagnosis method can effectively isolate the fault propagation phenomenon in the system and quantify the additional irreversibility caused by the Induced factors. The fault diagnosis index proposed in this paper can quickly locate the abnormal components.
Citation: Nan Xu, Longbin Yang, Andrea Lazzaretto, Massimo Masi, Zhenyu Shen, YunPeng Fu, JiaMeng Wang. Fault location in a marine low speed two stroke diesel engine using the characteristic curves method[J]. Electronic Research Archive, 2023, 31(7): 3915-3942. doi: 10.3934/era.2023199
[1] | Harman Kaur, Meenakshi Rana . Congruences for sixth order mock theta functions λ(q) and ρ(q). Electronic Research Archive, 2021, 29(6): 4257-4268. doi: 10.3934/era.2021084 |
[2] | Meenakshi Rana, Shruti Sharma . Combinatorics of some fifth and sixth order mock theta functions. Electronic Research Archive, 2021, 29(1): 1803-1818. doi: 10.3934/era.2020092 |
[3] | Changjian Wang, Jiayue Zhu . Global dynamics to a quasilinear chemotaxis system under some critical parameter conditions. Electronic Research Archive, 2024, 32(3): 2180-2202. doi: 10.3934/era.2024099 |
[4] | Chang-Jian Wang, Yu-Tao Yang . Boundedness criteria for the quasilinear attraction-repulsion chemotaxis system with nonlinear signal production and logistic source. Electronic Research Archive, 2023, 31(1): 299-318. doi: 10.3934/era.2023015 |
[5] | Maoji Ri, Shuibo Huang, Canyun Huang . Non-existence of solutions to some degenerate coercivity elliptic equations involving measures data. Electronic Research Archive, 2020, 28(1): 165-182. doi: 10.3934/era.2020011 |
[6] | Nan Li . Summability in anisotropic mixed-norm Hardy spaces. Electronic Research Archive, 2022, 30(9): 3362-3376. doi: 10.3934/era.2022171 |
[7] | Lili Li, Boya Zhou, Huiqin Wei, Fengyan Wu . Analysis of a fourth-order compact θ-method for delay parabolic equations. Electronic Research Archive, 2024, 32(4): 2805-2823. doi: 10.3934/era.2024127 |
[8] | Jianxing Du, Xifeng Su . On the existence of solutions for the Frenkel-Kontorova models on quasi-crystals. Electronic Research Archive, 2021, 29(6): 4177-4198. doi: 10.3934/era.2021078 |
[9] | Zihan Zheng, Juan Wang, Liming Cai . Global boundedness in a Keller-Segel system with nonlinear indirect signal consumption mechanism. Electronic Research Archive, 2024, 32(8): 4796-4808. doi: 10.3934/era.2024219 |
[10] | Ying Hou, Liangyun Chen . Constructions of three kinds of Bihom-superalgebras. Electronic Research Archive, 2021, 29(6): 3741-3760. doi: 10.3934/era.2021059 |
When a malfunction occurs in a marine main engine system, the impact of the anomaly will propagate through the system, affecting the performance of all relevant components in the system. The phenomenon of fault propagation in the system caused by induced factors can interfere with fault localization, making the latter a difficult task to solve. This paper aims at showing how the "characteristic curves method" is able to properly locate malfunctions also when more malfunctions appear simultaneously. To this end, starting from the working principle of each component of a real marine diesel engine system, comprehensive and reasonable thermal performance parameters are chosen to describe their characteristic curves and include them in a one-dimensional thermodynamic model. In particular, the model of a low-speed two stroke MAN 6S50 MC-C8.1 diesel engine is built using the AVL Boost software and obtaining errors lower than 5% between simulated values and test bench data. The behavior of the engine is simulated considering eight multi-fault concomitant phenomena. On this basis, the fault diagnosis method proposed in this paper is verified. The results show that this diagnosis method can effectively isolate the fault propagation phenomenon in the system and quantify the additional irreversibility caused by the Induced factors. The fault diagnosis index proposed in this paper can quickly locate the abnormal components.
Ramanujan's last letter to Hardy is one of the most mysterious and important mathematical letters in the history of mathematics. He introduced a class of functions that he called mock theta functions in his letter. For nearly a century, properties of these functions have been widely studied by different mathematicians. The important direction involves the arithmetic properties (see [1,2]), combinatorics (see [3,4]), identities between these functions, and generalized Lambert series (see [5,6]). For the interested reader, regarding the history and new developments in the study of mock theta functions, we refer to [7].
In 2007, McIntosh studied two second order mock theta functions in reference [8]; more details are given in reference [9]. These mock theta functions are:
A(q)=∞∑n=0q(n+1)2(−q;q2)n(q;q2)2(n+1)=∞∑n=0qn+1(−q2;q2)n(q;q2)n+1, | (1.1) |
B(q)=∞∑n=0qn(−q;q2)n(q;q2)n+1=∞∑n=0qn(n+1)(−q2;q2)n(q;q2)2n+1, | (1.2) |
where
(a;q)n=n−1∏i=0(1−aqi),(a;q)∞=∞∏i=0(1−aqi), |
(a1,a2,⋯,am;q)∞=(a1;q)∞(a2;q)∞⋯(am;q)∞, |
for |q|<1.
The functions A(q) and B(q) have been combinatorially interpreted in terms of overpartitions in [3] using the odd Ferrers diagram. In this paper, we study some arithmetic properties of one of the second order mock theta functions B(q). We start by noting, Bringmann, Ono and Rhoades [10] obtained the following identity:
B(q)+B(−q)2=f54f42, | (1.3) |
where
fkm:=(qm;qm)k∞, |
for positive integers m and k. We consider the function
B(q):=∞∑n=0b(n)qn. | (1.4) |
Followed by Eq (1.3), the even part of B(q) is given by:
∞∑n=0b(2n)qn=f52f41. | (1.5) |
In 2012, applying the theory of (mock) modular forms and Zwegers' results, Chan and Mao [5] established two identities for b(n), shown as:
∞∑n=0b(4n+1)qn=2f82f71, | (1.6) |
∞∑n=0b(4n+2)qn=4f22f44f51. | (1.7) |
In a sequel, Qu, Wang and Yao [6] found that all the coefficients for odd powers of q in B(q) are even. Recently, Mao [11] gave analogues of Eqs (1.6) and (1.7) modulo 6
∞∑n=0b(6n+2)qn=4f102f23f101f6, | (1.8) |
∞∑n=0b(6n+4)qn=9f42f43f6f81, | (1.9) |
and proved several congruences for the coefficients of B(q). Motivated from this, we prove similar results for b(n) by applying identities on the coefficients in arithmetic progressions. We present some congruence relations for the coefficients of B(q) modulo certain numbers of the form 2α⋅3β,2α⋅5β,2α⋅7β where α,β≥0. Our main theorems are given below:
Theorem 1.1. For n≥0, we have
∞∑n=0b(12n+9)qn=18[f92f123f171f36+2f52f43f6f91+28f62f33f66f141], | (1.10) |
∞∑n=0b(12n+10)qn=36[2f162f106f201f3f412−qf282f33f212f241f84f26−16q2f22f33f84f212f161f26]. | (1.11) |
In particular, b(12n+9)≡0(mod18),b(12n+10)≡0(mod36).
Theorem 1.2. For n≥0, we have
∞∑n=0b(18n+10)qn=72[f162f213f271f96+38qf132f123f241+64q2f102f33f96f211], | (1.12) |
∞∑n=0b(18n+16)qn=72[5f152f183f261f66+64qf122f93f36f231+32q2f92f126f201]. | (1.13) |
In particular, b(18n+10)≡0(mod72),b(18n+16)≡0(mod72).
Apart from these congruences, we find some relations between b(n) and restricted partition functions. Here we recall, Partition of a positive integer ν, is a representation of ν as a sum of non-increasing sequence of positive integers μ1,μ2,⋯,μn. The number of partitions of ν is denoted by p(ν) which is called the partition function. If certain conditions are imposed on parts of the partition, is called the restricted partition and corresponding partition function is named as restricted partition function. Euler proved the following recurrence for p(n) [12] [p. 12, Cor. 1.8]:
(n)−p(n−1)−p(n−2)+p(n−5)+p(n−7)−p(n−12)−p(n−15)+⋯+(−1)kp(n−k(3k−1)/2)+(−1)kp(n−k(3k+1)/2)+⋯={1, if n=0,0, otherwise. |
The numbers k(3k±1)/2 are pentagonal numbers. Following the same idea, different recurrence relations have been found by some researchers for restricted partition functions. For instance, Ewell [13] presented the recurrence for p(n) involving the triangular numbers. For more study of recurrences, see [14,15,16]. Under the influence of these efforts, we express the coefficients of mock theta function B(q) which are in arithmetic progression in terms of recurrence of some restricted partition functions.
This paper is organized as follows: Section 2, here we recall some preliminary lemmas and present the proof of Theorems 1.1 and 1.2. Section 3 includes some more congruences based on the above results. Section 4 depicts the links between b(n) and some of the restricted partition functions.
Before proving the results, we recall Ramanujan's theta function:
j(a,b)=∞∑n=−∞an(n+1)2bn(n−1)2, for|ab|<1. |
Some special cases of j(a,b) are:
ϕ(q):=j(q,q)=∞∑n=−∞qn2=f52f21f24,ψ(q):=j(q,q3)=∞∑n=0qn(n+1)/2=f22f1. |
Also,
ϕ(−q)=f21f2. |
The above function satisfy the following properties (see Entries 19, 20 in [17]).
j(a,b)=(−a,−b,ab;ab)∞,(Jacobi's triple product identity), |
j(−q,−q2)=(q;q)∞,(Euler's pentagonal number theorem). |
We note the following identities which will be used below.
Lemma 2.1. [[18], Eq (3.1)] We have
f32f31=f6f3+3qf46f59f83f18+6q2f36f29f218f73+12q3f26f518f63f9. | (2.1) |
Lemma 2.2. We have
f22f1=f6f29f3f18+qf218f9, | (2.2) |
f2f21=f46f69f83f318+2qf36f39f73+4q2f26f318f63. | (2.3) |
Proof. The first identity follows from [[19] Eq (14.3.3)]. The proof of second identity can be seen from [20].
Lemma 2.3. We have
1f41=f144f142f48+4qf24f48f102, | (2.4) |
f41=f104f22f48−4qf22f48f24. | (2.5) |
Proof. Identity (2.4) is Eq (1.10.1) from [19]. To obtain (2.5), replacing q by −q and then using
(−q;−q)∞=f32f1f4. |
Now, we present the proof of Theorems 1.1 and 1.2.
Proof of Theorems 1.1 and 1.2. From Eq (1.6), we have
∞∑n=0b(4n+1)qn=2(f32f31)3⋅f22f1. |
Substituting the values from Eqs (2.1) and (2.2) in above, we get
∞∑n=0b(4n+1)qn=2f36f29f33f18+2qf26f218f23f9+12qf66f79f103f218+18q2f96f129f173f318+36q2f56f49f18f93+90q3f86f99f163+72q3f46f9f418f83+48q4f36f718f73f29+288q4f76f69f318f153+504q5f66f39f618f143+576q6f56f918f133. | (2.6) |
Bringing out the terms involving q3n+2, dividing by q2 and replacing q3 by q, we get (1.10). Considering Eq (1.5), we have
∞∑n=0b(2n)qn=f32f31⋅f22f1. |
Substituting the values from Eqs (2.1) and (2.2), we obtain
∞∑n=0b(2n)qn=(f6f3+3qf46f59f83f18+6q2f36f29f218f73+12q3f26f518f63f9)(f6f29f3f18+qf218f9). |
Extracting the terms involving q3n,q3n+1,q3n+2 from the above equation, we have
∞∑n=0b(6n)qn=f22f23f21f6+18qf32f3f46f71, | (2.7) |
∞∑n=0b(6n+2)qn=f2f26f1f3+3f52f73f91f26+12qf22f76f61f23, | (2.8) |
∞∑n=0b(6n+4)qn=9f42f43f6f81. | (2.9) |
Using Eqs (2.4) and (2.5) in Eq (2.9), we get
∞∑n=0b(6n+4)qn=9f42f6(f144f142f48+4qf24f48f102)2(f1012f26f424−4q3f26f424f212). |
Extracting the terms involving q2n,q2n+1 from above, we arrive at
∞∑n=0b(12n+4)qn=9(f282f106f241f3f84f412+16qf42f84f106f161f3f412−32q2f162f33f412f201f26), | (2.10) |
∞∑n=0b(12n+10)qn=9(8f162f106f201f3f412−4qf282f33f412f241f84f26−16q2f42f33f84f412f161f26). | (2.11) |
From Eq (2.11), we ultimately arrive at Eq (1.11). To prove Theorem 1.2, consider Eq (2.9) as:
∞∑n=0b(6n+4)qn=9f43f6(f2f21)4. |
Using Eq (2.3) in above, we get
∞∑n=0b(6n+4)qn=9f176f249f283f1218+72qf166f219f273f918+360q2f156f189f263f618+288q3f146f159f253f318+864q3f126f159f193f618+2736q4f136f129f243+4608q5f126f99f318f233+5760q6f116f69f618f223+4608q7f106f39f918f213+2304q8f96f1218f203. | (2.12) |
Bringing out the terms involving q3n+1 and q3n+2 from Eq (2.12), we get Eqs (1.12) and (1.13), respectively.
This segment of the paper contains some more interesting congruence relations for b(n).
Theorem 3.1. For n≥0, we have
b(12n+1)≡{2(−1)k(mod6),ifn=3k(3k+1)/2,0(mod6),otherwise. | (3.1) |
Theorem 3.2. For n≥0, we have
b(2n)≡{(−1)k(2k+1)(mod4),ifn=k(k+1),0(mod4),otherwise. | (3.2) |
Theorem 3.3. For n≥0, we have
b(36n+10)≡0(mod72), | (3.3) |
b(36n+13)≡0(mod6), | (3.4) |
b(36n+25)≡0(mod12), | (3.5) |
b(36n+34)≡0(mod144), | (3.6) |
b(108n+t)≡0(mod18),for t∈{49,85}. | (3.7) |
Theorem 3.4. For n≥0, we have
b(20n+t)≡0(mod5),for t∈{8,16} | (3.8) |
b(20n+t)≡0(mod20),for t∈{6,18} | (3.9) |
b(20n+17)≡0(mod10), | (3.10) |
b(28n+t)≡0(mod14),for t∈{5,21,25}. | (3.11) |
Proof of Theorem 3.1. From Eq (2.6), picking out the terms involving q3n and replacing q3 by q, we have
∞∑n=0b(12n+1)qn=2f32f23f31f6+90qf82f93f161+72qf42f3f46f81+576q2f52f96f31. | (3.12) |
Reducing modulo 6, we obtain
∞∑n=0b(12n+1)qn≡2f3(mod6). | (3.13) |
With the help of Euler's pentagonal number theorem,
∞∑n=0b(12n+1)qn≡2∞∑k=−∞(−1)kq3k(3k+1)2(mod6), |
which completes the proof of Theorem 3.1.
Proof of Theorem 3.2. Reducing Eq (1.5) modulo 4, we get
∞∑n=0b(2n)qn≡f32(mod4). | (3.14) |
From Jacobi's triple product identity, we obtain
∞∑n=0b(2n)qn≡∞∑k=0(−1)k(2k+1)qk(k+1)(mod4), |
which completes the proof of Theorem 3.2.
Proof of Theorem 3.3. Consider Eq (1.11), reducing modulo 72
∞∑n=0b(12n+10)qn≡36qf282f33f412f241f84f26(mod72), |
∞∑n=0b(12n+10)qn≡36qf282f33f412f122f84f12=36qf162f33f312f84(mod72) |
or
∞∑n=0b(12n+10)qn≡36qf33f312(mod72). | (3.15) |
Extracting the terms involving q3n, replacing q3 by q in Eq (3.15), we arrive at Eq (3.3). Similarly, consider Eq (1.13) and reducing modulo 144, we have
∞∑n=0b(18n+16)qn≡72⋅5f152f183f261f66(mod144),≡72f152f96f132f66=72f22f36(mod144). |
Extracting the terms involving q2n+1, dividing both sides by q and replacing q2 by q, we get Eq (3.6).
From Eq (3.20), we get
∞∑n=0b(12n+1)qn≡2f3(mod6). |
Bringing out the terms containing q3n+1, dividing both sides by q and replacing q3 by q, we have b(36n+13)≡0(mod6). Reducing Eq (3.12) modulo 12, we have
∞∑n=0b(12n+1)qn≡2f32f23f31f6+90qf82f93f161(mod12), |
∞∑n=0b(12n+1)qn≡2f23f6(f6f3+3qf46f59f83f18+6q2f36f29f218f73+12q3f26f518f63f9)+6qf82f93f82. |
Extracting the terms containing q3n+2, dividing by q2 and replacing q3 by q, we obtain Eq (3.5). Reducing Eq (3.12) modulo 18,
∞∑n=0b(12n+1)qn≡2f32f23f31f6(mod18),=2f23f6(f6f3+3qf46f59f83f18+6q2f36f29f218f73+12q3f26f518f63f9). |
Extracting the terms involving q3n+1, dividing both sides by q and replacing q3 by q, we have
∞∑n=0b(36n+13)qn≡6f32f53f61f6≡6f6f53f23f6(mod18) |
or
∞∑n=0b(36n+13)qn≡6f33(mod18). |
Extracting the terms containing q3n+1,q3n+2 from above to get Eq (3.7).
Proof of Theorem 3.4. From Eqs (1.5) and (2.4), we have
∞∑n=0b(2n)qn=f52(f144f142f48+4qf24f48f102). |
Bringing out the terms containing even powers of q, we obtain
∞∑n=0b(4n)qn=f142f91f44, |
which can be written as:
∞∑n=0b(4n)qn=f152f101f54.f1f4f2≡f310f25f20.f1f4f2(mod5). |
Here
f1f4f2=(q;q)∞(q4;q4)∞(q2;q2)∞,=(q;q2)∞(q2;q2)∞(q4;q4)∞(q2;q2)∞, |
f1f4f2=(q,q3,q4;q4)∞=∞∑n=−∞(−1)nq2n2−n, | (3.16) |
where the last equality follows from Jacobi's triple product identity. Using the above identity, we have
∞∑n=0b(4n)qn≡f310f25f20∞∑n=−∞(−1)nq2n2−n(mod5). | (3.17) |
Since 2n2−n≢2,4(mod5), it follows that the coefficients of q5n+2,q5n+4 in ∑∞n=0b(4n)qn are congruent to 0(mod5), which proves that b(20n+t)≡0(mod5), for t∈{8,16}.
Consider Eq (1.7)
∞∑n=0b(4n+2)qn=4f54f51f22f4≡4f20f5f22f4(mod20). |
Now
f22f4=(q2;q2)2∞(q4;q4)∞,=(q2;q2)∞(q2;q4)∞(q4;q4)∞(q4;q4)∞, |
f22f4=(q2,q2,q4;q4)∞=∞∑n=−∞(−1)nq2n2. |
Using the above identity, we get
∞∑n=0b(4n+2)qn≡4f20f5∞∑n=−∞(−1)nq2n2(mod20). | (3.18) |
Since 2n2≢1,4(mod5), it follows that the coefficients of q5n+1,q5n+4 in ∑∞n=0b(4n+2)qn are congruent to 0(mod20), which proves Eq (3.9). For the proof of next part, consider Eq (1.6) as:
∞∑n=0b(4n+1)qn=2f52f101f31f32≡2f10f25f31f32(mod10), |
∞∑n=0b(4n+1)qn≡2f10f25∞∑k=0(−1)k(2k+1)qk(k+1)2∞∑m=0(−1)m(2m+1)qm(m+1)(mod10). | (3.19) |
Therefore, to contribute the coefficient of q5n+4, (k,m)≡(2,2)(mod5) and thus the contribution towards the coefficient of q5n+4 is a multiple of 5.
Consider Eq (1.6) as:
∞∑n=0b(4n+1)qn=2f72f71f2≡2f14f7f2(mod14). |
With the help of Euler's pentagonal number theorem,
∞∑n=0b(4n+1)qn≡2f14f7∞∑n=−∞(−1)nqn(3n+1)(mod14). | (3.20) |
As n(3n+1)≢1,5,6(mod7), it readily proves Eq (3.11).
In this section, we find some recurrence relations connecting b(n) and restricted partition functions. First we define some notations. Let ¯pl(n) denotes the number of overpartitions of n with l copies. Then
∞∑n=0¯pl(n)qn=(f2f21)l. |
Let pld(n) denotes the number of partitions of n into distinct parts with l copies. Then
∞∑n=0pld(n)qn=(f2f1)l. |
Theorem 4.1. We have
b(2n)=¯p2(n)−3¯p2(n)+5¯p2(n)+⋯+(−1)k(2k+1)¯p2(n−k(k+1))+⋯, | (4.1) |
(2n)=p4d(n)−p4d(n−2)−p4d(n−4)+p4d(n−10)+p4d(n−14)+⋯+(−1)kp4d(n−k(3k−1))+(−1)kp4d(n−k(3k+1))+⋯. | (4.2) |
Theorem 4.2.
(4n+1)=2p8d(n)−2p8d(n−1)−2p8d(n−2)+2p8d(n−5)+2p8d(n−7)+⋯+(−1)k2p8d(n−k(3k−1)2)+(−1)k2p8d(n−k(3k+1)2)+⋯, | (4.3) |
b(4n+1)=2n∑c=0b(2c)p3d(n−c). | (4.4) |
Theorem 4.3.
(6n+2)=4p10d(n)−8p10d(n−3)+8p10d(n−12)+8p10d(n−27)+⋯+8(−1)kp10d(n−3k2)+⋯. | (4.5) |
Proof of Theorem 4.1. Consider (1.5) as:
∞∑n=0b(2n)qn=(f2f21)2⋅f32. |
Then
∞∑n=0b(2n)qn=(∞∑n=0¯p2(n)qn)(∞∑k=0(−1)k(2k+1)qk(k+1)),=∞∑n=0∞∑k=0(−1)k(2k+1)¯p2(n)qn+k(k+1),=∞∑n=0(∞∑k=0(−1)k(2k+1)¯p2(n−k(k+1)))qn. |
From the last equality, we readily arrive at (4.1). To prove (4.2), consider (1.5) as:
∞∑n=0b(2n)qn=(f2f1)4⋅f2,=(∞∑n=0p4d(n)qn)(∞∑k=−∞(−1)kqk(3k+1)),=(∞∑n=0p4d(n)qn)(1+∞∑k=1(−1)kqk(3k−1)+∞∑k=1(−1)kqk(3k+1)), |
∞∑n=0b(2n)qn=∞∑n=0p4d(n)qn+∞∑n=0(∞∑k=1(−1)kp4d(n)qk(3k−1)+n)+∞∑n=0(∞∑k=1(−1)kp4d(n)qk(3k+1)+n), |
∞∑n=0b(2n)qn=∞∑n=0p4d(n)qn+∞∑n=0(∞∑k=1(−1)kp4d(n−k(3k−1))qn)+∞∑n=0(∞∑k=1(−1)kp4d(n−k(3k+1))qn), |
which proves Eq (4.2).
Proof of Theorem 4.2. Consider Eq (1.6) as:
∞∑n=0b(4n+1)qn=2(f2f1)8f1,=2(∞∑n=0p8d(n)qn)(∞∑k=−∞(−1)kqk(3k+1)2),=2(∞∑n=0p8d(n)qn)(1+∞∑k=1(−1)kqk(3k−1)/2+∞∑k=1(−1)kqk(3k+1)/2), |
∞∑n=0b(4n+1)qn=∞∑n=0p8d(n)qn+∞∑n=0∞∑k=1(−1)kp8d(n)qk(3k−1)/2+n+∞∑n=0∞∑k=1(−1)kp8d(n)qk(3k+1)/2+n, |
∞∑n=0b(4n+1)qn=∞∑n=0p8d(n)qn+∞∑n=0(∞∑k=1(−1)kp8d(n−k(3k−1)2))qn+∞∑n=0(∞∑k=1(−1)kp8d(n−k(3k+1)2))qn, |
which proves Eq (4.3). To prove Eq (4.4), consider Eq (1.6) as:
∞∑n=0b(4n+1)qn=2(f52f41)f32f31,=2(∞∑n=0b(2n)qn)(∞∑k=0p3d(k)qk),=2∞∑n=0(n∑c=0b(2c)p3d(n−c))qn. |
Comparing the coefficients of qn, we arrive at Eq (4.4).
Proof of Theorem 4.3. Consider Eq (1.8) as:
∞∑n=0b(6n+2)qn=4(f2f1)10⋅f23f6,=4(∞∑n=0p10d(n)qn)(∞∑k=−∞(−1)kq3k2),=4(∞∑n=0p10d(n)qn)(1+2∞∑k=1(−1)kq3k2),=4∞∑n=0p10d(n)qn+8∞∑n=0(∞∑k=1(−1)kp10d(n)q3k2+n),=4∞∑n=0p10d(n)qn+8∞∑n=0(∞∑k=1(−1)kp10d(n−3k2))qn. |
Comparing the coefficients of qn to obtain Eq (4.5).
In this paper, we have provided the arithmetic properties of second order mock theta function B(q), introduced by McIntosh. Some congruences are proved for the coefficients of B(q) modulo specific numbers. The questions which arise from this work are:
(i) Are there exist congruences modulo higher primes for B(q)?
(ii) Is there exist any other technique (like modular forms) that helps to look for some more arithmetic properties of B(q)?
(iii) How can we explore the other second order mock theta function A(q)?
The first author is supported by University Grants Commission (UGC), under grant Ref No. 971/(CSIR-UGC NET JUNE 2018) and the the second author is supported by Science and Engineering Research Research Board (SERB-MATRICS) grant MTR/2019/000123. The authors of this paper are thankful to Dr. Rupam Barman, IIT Guwahati, for his valuable insight during establishing Theorems 3.1 and 3.2. We would like to thank the referee for carefully reading our paper and offering corrections and helpful suggestions.
The authors declare there is no conflicts of interest.
[1] |
V. T. Lamaris, D. T. Hountalas, A general purpose diagnostic technique for marine diesel engines–Application on the main propulsion and auxiliary diesel units of a marine vessel, Energy Convers. Manage., 51 (2010), 740–753. https://doi.org/10.1016/j.enconman.2009.10.031 doi: 10.1016/j.enconman.2009.10.031
![]() |
[2] |
D. W. Wang, L. Shi, S. P. Zhu, B. Liu, Y. H. Qian, K. Y. Deng, Numerical and thermodynamic study on effects of high and low pressure exhaust gas recirculation on turbocharged marine low-speed engine, Appl. Energy, 261 (2020), 114346. https://doi.org/10.1016/j.apenergy.2019.114346 doi: 10.1016/j.apenergy.2019.114346
![]() |
[3] | J. Carlton, J. Aldwinkle, J. Anderson, Future Ship Powering Options: Exploring Alternative Methods of Ship Propulsion, London: Royal Academy of Engineering, 2013. |
[4] | Brent, Haight, 2011 marine propulsion order survey: a review of mechanical drive, auxiliary and diesel-electric marine propulsion orders in 2010, Diesel & Gas Turbine Worldwide, 43 (2011), 30–30. |
[5] |
A. Jardine, D. Lin, D. Banjevic, A review on machinery diagnostics and prognostics implementing condition-based maintenance, Mech. Syst. Signal Process., 20 (2006), 1483–1510. https://doi.org/10.1016/j.ymssp.2005.09.012 doi: 10.1016/j.ymssp.2005.09.012
![]() |
[6] |
J. Galindo, J. R. Serrano, F. Vera, C. Cervello, M. Lejeune, Relevance of valve overlap for meeting Euro 5 soot emissions requirements during load transient process in heavy duty diesel engines, Int. J. Veh. Des., 41 (2006), 343–367, https://doi.org/10.1504/IJVD.2006.009675 doi: 10.1504/IJVD.2006.009675
![]() |
[7] |
G. Vera, P. Rubio, H. Grau, Improvements of a failure database for marine diesel engines using the RCM and simulations, Energies, 13 (2019), 104. https://doi.org/10.3390/en13010104 doi: 10.3390/en13010104
![]() |
[8] |
A. Jose, V. G. Francisco, H. G. Jose, M. C. Jose, A. H. Daniel, Marine diesel engine failure simulator based on thermodynamic model, Appl. Therm. Eng., 144 (2018), 982–995. https://doi.org/10.1016/j.applthermaleng.2018.08.096 doi: 10.1016/j.applthermaleng.2018.08.096
![]() |
[9] |
R. Pawletko, S. Polanowski, Evaluation of current developments and trends in the diagnosis of marine diesel engines based on the indicator diagrams analysis, J. KONES, 21(2014), 389–396. https://doi.org/10.5604/12314005.1130492 doi: 10.5604/12314005.1130492
![]() |
[10] | A. J. Bayba, D. N. Siegel, K. Tom, Application of Autoassociative Neural Networks to Health Monitoring of the CAT 7 Diesel Engine, Army Research Laboratory, 2012. |
[11] |
D. T. Hountalas, Prediction of marine diesel engine performance under fault conditions, Appl. Therm. Eng., 20 (2000), 1753–1783. https://doi.org/10.1016/S1359-4311(00)00006-5 doi: 10.1016/S1359-4311(00)00006-5
![]() |
[12] | J. Rubio, F. Vera-García, Sistema de Diagnóstico de Motor Diesel Marino Basado en Modelo Termodinámico y de Inteligencia Artificial, Ph.D thesis, Universidad Politécnica de Cartagena, 2017. https://doi.org/10.13140/RG.2.2.32226.63688 |
[13] |
X. W. Li, Study on fault diagnosis of narine diesel engine, Comput. Simul., 12 (2012), 21–32. https://doi.org/10.1108/eb052507 doi: 10.1108/eb052507
![]() |
[14] |
Z. Jian, Simulation research on EGR reducing Nox emission of diesel engine, Int. J. Energy Power Eng., 4 (2015), 275–279. https://doi.org/10.11648/j.ijepe.20150405.16 doi: 10.11648/j.ijepe.20150405.16
![]() |
[15] | C. Iclodean, N. Burnete, Computer simulation of ci engines fuelled with biofuels by modelling injection iRate law, Res. J. Agric. Sci., 44 (2012), 249–257. |
[16] | T. Firsa, AVL Boost simulation of engine performance and emission for compressed natural gas direct injection engine, J. Energy Environ., 6 (2014). |
[17] |
O. C. Basurko, Z. Uriondo, Condition-Based maintenance for medium speed diesel engines used in vessels in operation, Appl. Therm. Eng., 80 (2015), 404–412. https://doi.org/10.1016/j.applthermaleng.2015.01.075 doi: 10.1016/j.applthermaleng.2015.01.075
![]() |
[18] |
G. Qi, Z. Zhu, K. Erqinhu, Y. Chen, Y. Chai, J. Sun, Fault-diagnosis for reciprocating compressors using big data and machine learning, Simul. Modell. Pract. Theory, 80 (2018), 104–127. https://doi.org/10.1016/j.simpat.2017.10.005 doi: 10.1016/j.simpat.2017.10.005
![]() |
[19] |
Z. Zhu, Y. Lei, G. Qi, Y. Chen, Y. Chai, Y. An, et al., A review of the application of deep learning in intelligent fault diagnosis of rotating machinery, Measurement, 206 (2022), 112346. https://doi.org/10.1016/j.measurement.2022.112346 doi: 10.1016/j.measurement.2022.112346
![]() |
[20] |
X. Huang, G. Qi, N. Mazur, Y. Chai, Deep residual networks-based intelligent fault diagnosis method of planetary gearboxes in cloud environments, Simul. Modell. Pract. Theory, 116 (2022), 102469. https://doi.org/10.1016/j.simpat.2021.102469 doi: 10.1016/j.simpat.2021.102469
![]() |
[21] |
V. Kneevi, J. Orovi, L. Stazi, J. Ulin, Fault tree analysis and failure diagnosis of marine diesel engine turbocharger system, J. Mar. Sci. Eng., 8 (2020), 1004. https://doi.org/10.3390/jmse8121004 doi: 10.3390/jmse8121004
![]() |
[22] |
Z. Jiang, D. Wei, L. Wang, Z. Zhao, J. Zhang, Fault diagnosis of diesel engines based on a classification and regression tree (CART) decision tree in Chinese, J. Beijing Univ. Chem. Technol., 45 (2018), 71–75. https://doi.org/10.13543/j.bhxbzr.2018.04.013 doi: 10.13543/j.bhxbzr.2018.04.013
![]() |
[23] |
F. Elamin, Y. Fan, F. Gu, A. Ball, Diesel engine valve clearance detection using acoustic emission, Advances in Mechanical Engineering, 2 (2010), 495741. https://doi.org/10.1155/2010/495741 doi: 10.1155/2010/495741
![]() |
[24] |
K. Chen, Z. Mao, H. Zhao, J. Zhang, A variational stacked autoencoder with harmony search optimizer for valve train fault diagnosis of diesel engine, Sensors, 20 (2019), 223. https://doi.org/10.3390/s20010223 doi: 10.3390/s20010223
![]() |
[25] | A. Valero, C. Torres, L. Serra, A general theory of thermoeconomics. Part Ⅰ: Structural analysis, in 1992 International Symposium ECOS, ASME, New York, USA, (1992), 137–145. |
[26] | A. Valero, C. Torres, F. Lerch, Structural theory and thermoeconomic diagnosis. Part Ⅲ: intrinsic and induced malfunctions, in 1999 International Symposium ECOS, ASME, New York, USA, (1999), 8–10. |
[27] |
A. Valero, C. Torres, L. Serra, Structural theory and thermoeconomic diagnosis. Part Ⅰ: On malfunction and dysfunction analysis, Energy Convers. Manage., 43 (2002), 1503–1518. https://doi.org/10.1016/S0196-8904(02)00032-8 doi: 10.1016/S0196-8904(02)00032-8
![]() |
[28] |
A. Valero, M. A. Lozano, J. L. Bartolomé, On-line monitoring of power-plant performance, using exergetic cost techniques, Appl. Therm. Eng., 16 (1996), 933–948. https://doi.org/10.1016/1359-4311(95)00092-5 doi: 10.1016/1359-4311(95)00092-5
![]() |
[29] |
A. Valero, F. Lerch, L. Serra, Structural theory and thermoeconomic diagnosis. Part Ⅱ: Application to an actual power plant, Energy Convers. Manage., 43 (2002), 1519–1535. https://doi.org/10.1016/S0196-8904(02)00033-X doi: 10.1016/S0196-8904(02)00033-X
![]() |
[30] |
V. Vittorio, L. M. Serra, V. Antonio, Effects of the productive structure on the results of the thermoeconomic diagnosis of energy systems, Int. J. Thermodyn., 5 (2002), 127–137. https://doi.org/10.5541/ijot.95 doi: 10.5541/ijot.95
![]() |
[31] |
V. Vittorio, L. M. Serra, A. Valero, Zooming procedure for the thermoeconomic diagnosis of highly complex energy systems, Int. J. Thermodyn., 5 (2002), 75–83. https://doi.org/10.5541/ijot.90 doi: 10.5541/ijot.90
![]() |
[32] |
V. Vittorio, L. M. Serra, V. Antonio, The effects of the control system on the thermoeconomic diagnosis of a power plant, Energy, 29 (2004), 331–359. https://doi.org/10.1016/j.energy.2003.10.003 doi: 10.1016/j.energy.2003.10.003
![]() |
[33] | A. Stoppato, A. Lazzaretto, Exergetic analysis for energy system diagnosis, in 1996 Biennial Joint Conference on Engineering Systems Design and Analysis, ASME, New York, USA, (1996), 191–198. |
[34] |
A. Lazzaretto, A. Toffolo, A critical review of the thermoeconomic diagnosis methodologies for the location of causes of malfunctions in energy systems, J. Energy Res. Technol., 128 (2003), 345–354. https://doi.org/10.1115/1.2358148 doi: 10.1115/1.2358148
![]() |
[35] | A. Stoppato, C. Carraretto, A. Mirandola, A diagnosis procedure for energy conversion plants: Part Ⅰ—Description of the method, in ASME International Mechanical Engineering Congress and Exposition, American Society of Mechanical Engineers, New York, USA, (2001), 493–500. https://doi.org/10.1115/IMECE2001/AES-23658 |
[36] | A. Stoppato, C. Carraretto, A. Mirandola, A diagnosis procedure for energy conversion plants: Part Ⅱ—Application and results, in ASME International Mechanical Engineering Congress and Exposition, American Society of Mechanical Engineers, New York, USA, (2001), 501–508. https://doi.org/10.1115/IMECE2001/AES-23659 |
[37] |
A. Toffolo, A. Lazzaretto, A new thermoeconomic method for the location of causes of malfunctions in energy systems, J. Energy Res. Technol., 129 (2007), 1–9. https://doi.org/10.1115/1.2424960 doi: 10.1115/1.2424960
![]() |
[38] | A. Lazzaretto, A. Toffolo, R. Passuello, The characteristic curve method in energy systems diagnosis: analysis of uncertainties in a real plant, in ASME International Mechanical Engineering Congress and Exposition, ASME, New York, USA, (2005), 379–390. |
[39] | AVL BOOST Theory Reference, v2020. Available from: https://www.avl.com/en/search. |
[40] |
H. M. Nahim, R. Younes, H. Shraim, M. Ouladsine, Oriented review to potential simulator for faults modeling in diesel engine, J. Mar. Sci. Technol., 21 (2016), 533–551. https://doi.org/10.1007/s00773-015-0358-6 doi: 10.1007/s00773-015-0358-6
![]() |
[41] | G. Radica, Expert system for diagnosis and optimisation of marine diesel engines, Strojarstvo, 50 (2008), 105–116. |
[42] |
P. Karpiński, K. Pietrykowski, L. Grabowski, Turbocharging the aircraft two-stroke diesel engine, Combust. Engines, 178 (2019). https://doi.org/10.19206/CE-2019-319 doi: 10.19206/CE-2019-319
![]() |
[43] |
G. Cong, T. Gerasimos, C. Hui, Analysis of two stroke marine diesel engine operation including turbocharger cut-out by using a zero-dimensional model, Energies, 8 (2015), 5738–5764. https://doi.org/10.3390/en8065738 doi: 10.3390/en8065738
![]() |
[44] |
L. Wang, P. Fu, N. Wang, T. Morosuk, Y. Yang, G. Tsatsaronis, Malfunction diagnosis of thermal power plants based on advanced exergy analysis: The case with multiple malfunctions occurring simultaneously, Energy Convers. & Manage., 148 (2017), 1453–1467. https://doi.org/10.1016/j.enconman.2017.06.086 doi: 10.1016/j.enconman.2017.06.086
![]() |
1. | Olivia X.M. Yao, New congruences modulo 9 for the coefficients of Gordon-McIntosh's mock theta function ξ ( q ) , 2024, 47, 1607-3606, 239, 10.2989/16073606.2023.2205604 | |
2. |
Yueya Hu, Eric H. Liu, Olivia X. M. Yao,
Congruences modulo 4 and 8 for Ramanujan’s sixth-order mock theta function ρ(q) ,
2025,
66,
1382-4090,
10.1007/s11139-024-01018-x
|