Research on Engine Fault Diagnosis and Realization of Intelligent Analysis System

Author

Guoj, Chen ; Miaofen, Zhu ; Yaka, Wang ; Yihuai, Hu ; Bin, Liu

Author_Institution

Dept. of Mech. Eng., Hangzhou Dianzi Univ.

Volume

3

fYear

2006

fDate

9-13 July 2006

Firstpage

1789

Lastpage

1793

Abstract

The paper analyses the main types of engine failures, studies the some methods of fault diagnosis for engines and presents the ideas of time eigenvalues, frequency eigenvalues, wavelet eigenvalues and RBF(BP network based on radial basis functions) eigenvalues. According to the investigative results, an intelligent analysis system based on TMS320VC5402 is designed. The particular hardware and software design based on the DSP device is present in the paper. The analysis system is high in speed, low in power consume and small in size to be portable. It is fit for on-time supervising and analyzing

Keywords

digital signal processing chips; eigenvalues and eigenfunctions; engines; fault diagnosis; mechanical engineering computing; radial basis function networks; wavelet transforms; BP network; DSP device; RBF eigenvalues; TMS320VC5402; engine fault diagnosis; frequency eigenvalues; hardware design; intelligent analysis system; radial basis functions; software design; time eigenvalues; wavelet eigenvalues; Digital signal processing; Eigenvalues and eigenfunctions; Engines; Failure analysis; Fault diagnosis; Frequency; Hardware; Intelligent systems; Software design; Wavelet analysis; DSP; RBF; engine; fault diagnosis; state supervision;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 2006 IEEE International Symposium on

Conference_Location

Montreal, Que.

Print_ISBN

1-4244-0496-7

Electronic_ISBN

1-4244-0497-5

Type

conf

DOI

10.1109/ISIE.2006.295843

Filename

4078518