Based on LabNIEW Environment Auto Fault Detection Research of Virtual Test System

Abstract:

Virtual test system based on software as the core of intelligent system based on computer technology. In LabNIEW environment are introduced, on the auto electric power steering, car trouble related performance was tested. Car trouble vary widely, the characteristics of the dynamic and uncertainty, in view of the present automobile fault detection of real-time detection of the existence of difference, the data is not convenient to undertake unity management problems, this paper used the GPS, GPRS and CAN bus technologies, design a set of automatic control system. With the development of era, the existing Petri net reasoning algorithm cannot have satisfied nowadays car diagnostic technology, aiming at this situation, this paper proposes a modified algorithm, with fuzzy reasoning algorithm of Petri net optimization, finally, the fault diagnosis. According to diagnosis, combining wavelet analysis and the principle of artificial immune system, put forward a kind of based on wavelet transform and the fault diagnosis system of the immune system. According to the characteristics of the wavelet analysis, it is used to analyze the unstable signal, signal feature vector as raw data, using the improved negative selection algorithm for himself - he analysis the original data.

• Periodical: Applied Mechanics and Materials (Volumes 727-728)
• Pages: 855-858
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.727-728.855
• Online since: January 2015
• Authors: Sheng Rui Liu*
• Keywords: Fault Diagnosis, Immune System, LabNIEW, Virtual Test System

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