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Development and Validation of an Intelligent Fault Diagnosis Algorithm for In-Vehicle Fuel Systems
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Jiahe HUI1, Liguo WEI2, Ying HUANG1, Jian WANG1, Zhun LI1
Chinese Journal of Automotive Engineering | 2024, 14(6) : 1025 - 1035
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Chinese Journal of Automotive Engineering | 2024, 14(6): 1025-1035
• Green and Low-Carbon Technologies Seetion •
Development and Validation of an Intelligent Fault Diagnosis Algorithm for In-Vehicle Fuel Systems
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Jiahe HUI1, Liguo WEI2, Ying HUANG1, Jian WANG1, Zhun LI1
Affiliations
  • 1 School of Mechanical Engineering Beijing Institute of Technology Beijing 100081 China
  • 2 China North Vehicle Research Institute Beijing 100072 China
doi: 10.3969/j.issn.2095–1469.2024.06.10
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This paper proposes an intelligent multiclass fault diagnosis algorithm for the diesel engine fuel system based on PCA and ELM. Firstly, a fault diagnosis model is established in Simulink, utilizing real vehicle data to support offline verification. Subsequently, an architecture for the intelligent fault diagnosis algorithm is designed, following the OSACBM standard. Based on this architecture, the online fault diagnosis algorithm is developed in the Simulink and tested using a hardwareintheloop (HIL) platform. The verification results show that the proposed intelligent multiclass fault diagnosis algorithm achieves high accuracy and reliability in both offline simulations and HIL testing, indicating its potential for invehicle applications.

fuel system  /  on-board fault diagnosis  /  hardware in the loop  /  intelligent algorithm
Jiahe HUI, Liguo WEI, Ying HUANG, Jian WANG, Zhun LI. Development and Validation of an Intelligent Fault Diagnosis Algorithm for In-Vehicle Fuel Systems[J]. Chinese Journal of Automotive Engineering, 2024 , 14 (6) : 1025 -1035 . DOI: 10.3969/j.issn.2095–1469.2024.06.10
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Article Info
doi: 10.3969/j.issn.2095–1469.2024.06.10
  • Receive Date：2023-09-23
  • Online Date：2025-07-20
Article Data
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History
  • Received：2023-09-23
  • Revised：2023-11-12
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Affiliations
    1 School of Mechanical Engineering Beijing Institute of Technology Beijing 100081 China
    2 China North Vehicle Research Institute Beijing 100072 China
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