Fault diagnosis of diesel engine based on neural network

WANG Yun-song; CHU Fu-lei; LIU Ya-dong

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WANG Yun-song, CHU Fu-lei, LIU Ya-dong. Fault diagnosis of diesel engine based on neural network[J]. Journal of Traffic and Transportation Engineering, 2003, 3(4): 44-47.

Citation:

WANG Yun-song, CHU Fu-lei, LIU Ya-dong. Fault diagnosis of diesel engine based on neural network[J]. Journal of Traffic and Transportation Engineering, 2003, 3(4): 44-47.

WANG Yun-song, CHU Fu-lei, LIU Ya-dong. Fault diagnosis of diesel engine based on neural network[J]. Journal of Traffic and Transportation Engineering, 2003, 3(4): 44-47.

Citation:

WANG Yun-song, CHU Fu-lei, LIU Ya-dong. Fault diagnosis of diesel engine based on neural network[J]. Journal of Traffic and Transportation Engineering, 2003, 3(4): 44-47.

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Fault diagnosis of diesel engine based on neural network

1.
School of Traffic and Vehicle, Shandong University of Technology, Zibo 255049, China
2.
Department of Precision Instruments and Mechanics, Tsinghua University, Beijing 100084, China
3.
The 53RD Research Institute of China North Industries Group Corporation, Jinan 250031, China

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Author Bio:
WANG Yun-song(1966-), male, professor, 86-533-2781895, wangyunsong@sdut.edu.cn
Received Date: 2003-02-20
Publish Date: 2003-08-25

Abstract

Abstract

Based on virtual instrument technology, the fault diagnosis system for diesel engine was developed. Its digital treatment system was consisted of sensors and PCI-6023E collectors, its design software was LABVIEW6. 0. This system character parameters were defined by engine's typical faults. In this system, the collected data were treated with BP neural network to diagnose engine's faults. The tested results show that this system is feasiable.
- automotive engineering,
- neural network,
- virtual instrument,
- fault diagnosis,
- diesel engine

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References(9)

References

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