Automobile Engine Fault Diagnosis and Prediction System

Abstract:

Aimed at the fault diagnosis and prediction of automobile engine, firstly designed a framework structure of automobile engine fault diagnosis and prediction system, and built a hardware platform; Secondly adopted the genetic algorithm neural network to fault prediction and diagnosis reasoning; Finally after analyzing automobile exhaust components, engine vibration, engine abnormal sound parameters, inferred the appeared and impending fault of automobile then made the tips for users on the screen. The results show that the performance of system is well, the accuracy of diagnosis and prediction is 95% in different conditions of experiment and debugging.

• Periodical: Advanced Materials Research (Volumes 1008-1009)
• Pages: 641-644
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1008-1009.641
• Online since: August 2014
• Authors: Mei Lan Zhou*, Ji Chang Wang, Yan Ping Li
• Keywords: Automobile Engine, Diagnosis, Genetic Neural Network, Prediction

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