Research on thermoeconomic fault diagnosis for marine low speed two stroke diesel engine

Nan Xu; Guolei Zhang; Longbin Yang; Zhenyu Shen; Min Xu; Lei Chang; Nan Xu; Guolei Zhang; Longbin Yang; Zhenyu Shen; Min Xu; Lei Chang

doi:10.3934/mbe.2022253

Mathematical Biosciences and Engineering

2022, Volume 19, Issue 6: 5393-5408. doi: 10.3934/mbe.2022253

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Research on thermoeconomic fault diagnosis for marine low speed two stroke diesel engine

1.
College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China
2.
Dalian marine diesel CO., Ltd, Dalian 116083, China

Academic Editor: Runzhang Xu

Received: 04 January 2022 Revised: 15 February 2022 Accepted: 27 February 2022 Published: 25 March 2022

To satisfy the requirements of low fuel consumption, low emission, and high efficiency of the shipping industry, marine diesel engines are developing in the direction of automation and energy-saving, which increases the possibility and complexity of marine diesel engine failures. A one-dimension thermodynamic model for the marine diesel engine is built with AVL Boost software. The model is applied to a low-speed two-stroke 6S50MC diesel engine, and the error between the main performance parameters obtained by simulation and the test bench data is less than 3% under 100% and 75% load. Based on the model, 6 typical single faults and many typical double faults concomitant phenomena of diesel are reproduced. Based on the second law of thermodynamics, the exergy flow among the components and the external environment is analyzed. The thermoeconomic model of a marine diesel engine is established where the "fuel" and "product" of the components are defined according to their function. The fault diagnosis results show that the effects of faults generally propagate through the diesel engine system and affect the behavior of several components, resulting in induced malfunction in normal components. Therefore the malfunction MF_i of each component is the superposition of the intrinsic malfunction and the induced malfunction according to the malfunction and dysfunction analysis. The thermoeconomic fault diagnosis method can be used to narrow the search range of abnormal components though it cannot accurately locate the fault.
- marine diesel,
- fault simulation,
- thermoeconomic,
- fault diagnosis,
- malfunction
Citation: Nan Xu, Guolei Zhang, Longbin Yang, Zhenyu Shen, Min Xu, Lei Chang. Research on thermoeconomic fault diagnosis for marine low speed two stroke diesel engine[J]. Mathematical Biosciences and Engineering, 2022, 19(6): 5393-5408. doi: 10.3934/mbe.2022253

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Abstract

To satisfy the requirements of low fuel consumption, low emission, and high efficiency of the shipping industry, marine diesel engines are developing in the direction of automation and energy-saving, which increases the possibility and complexity of marine diesel engine failures. A one-dimension thermodynamic model for the marine diesel engine is built with AVL Boost software. The model is applied to a low-speed two-stroke 6S50MC diesel engine, and the error between the main performance parameters obtained by simulation and the test bench data is less than 3% under 100% and 75% load. Based on the model, 6 typical single faults and many typical double faults concomitant phenomena of diesel are reproduced. Based on the second law of thermodynamics, the exergy flow among the components and the external environment is analyzed. The thermoeconomic model of a marine diesel engine is established where the "fuel" and "product" of the components are defined according to their function. The fault diagnosis results show that the effects of faults generally propagate through the diesel engine system and affect the behavior of several components, resulting in induced malfunction in normal components. Therefore the malfunction MF_i of each component is the superposition of the intrinsic malfunction and the induced malfunction according to the malfunction and dysfunction analysis. The thermoeconomic fault diagnosis method can be used to narrow the search range of abnormal components though it cannot accurately locate the fault.

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