Research of electronic control diesel fault diagnosis system

Yun Wang*, Jiang Li, You Tong Zhang, Chang Qi Cheng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

By the utilization of the visual tool Borland C++ Builder in Windows and BP network, a fault diagnosis system was designed. Combining the fault diagnosis module with the monitoring module by using the multi-thread technique, a fault diagnosis system for electronic control diesel engine was achieved. The results obtained from the engine bench test indicated that some common faults of diesel could be diagnosed and the system was reliable. It was also proved that the involvement of NN technique in the system to implement fault diagnosis for the electronic control discel engines is feasible.

Original languageEnglish
Pages (from-to)681-683
Number of pages3
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume20
Issue number6
Publication statusPublished - 2000

Keywords

  • Electronic-control diesel
  • Fault diagnosis
  • Neural networks
  • Status monitoring

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