Engine Fault Diagnostic System Based on Non-Linear Support Vector Machine-Reference-Cited by-同舟云学术

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Engine Fault Diagnostic System Based on Non-Linear Support Vector Machine

Published:2012-11 Issue: Volume:229-231 Page:534-537
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Xu Gao Huan¹,Ye Jun Xiang²

Affiliation:

1. Zhejiang Water Conservancy and Hydropower College

2. Zhejiang Police Vocational Academy

Abstract

The car engine failures in the course of time and place have many possibilities. The engine fault diagnosis system developed in .NET platform. The core of the system make use of noise wavelet energy features and non-linear support vector machine classification. After the experiment, the system has fairly good results.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.229-231.534.pdf

Reference12 articles.

1. Gray M. Overcoming the limitations of system architechure of on-board vehicle diagnostics. SAE Paper 940432.

2. Donald S Sarna. Diagnostic equipment development for military-vehicle application SAE Paper 780029.

3. Arunk Sood. Engine fault analysis: part1-ststistical methods. IEEE, 1985, 32(4): 327-335.

4. Mauer GF. A method for cylinder specific engine fault diagnostics. 1st International Machinery Monitoring&diagnostics Conference, Las Vegas, NV 1989：180-192.

5. Philip L. Bogler. Shafer-Dempster Reasoning with Application to Multisenor Target Identificaion Systems. IEEE Transations on system, Man and cybernetics, 1989, 17(6): 901-930.

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