Fan Fault Diagnosis System Based on LabVIEW DSP Module

doi:10.3969/j.issn.1006-2475.2010.06.041

Computer and Modernization ›› 2010, Vol. 1 ›› Issue (6): 144-0146.doi: 10.3969/j.issn.1006-2475.2010.06.041

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Fan Fault Diagnosis System Based on LabVIEW DSP Module

ZHANG Yu, LUO Chang-geng

College of Physics & Electronic Engineering, Nanyang Normal University, Nanyang 473061, China

Received:2009-12-14 Revised:1900-01-01 Online:2010-07-01 Published:2010-07-01

Abstract

Abstract: The article designs a kind of fan fault diagnosis system based on LabVIEW DSP module. Relying on the noise signal of the fan collected by TMS320C6713, the recognition system utilizes power spectrum gravity center, sound level, wavelet frequency segment power of the signal as feature vectors, and a BP network as classifier for fault diagnosis. The experimental results show that it is effective to extract fault information by the combination of lifting wavelet and neural network. The entire system has adaptability and feature extraction capability. The diagnose results are reliable and accurate.

Key words: sound level, fault diagnosis, DSP, lifting wavelet, BP network

CLC Number:

TP373

ZHANG Yu;LUO Chang-geng. Fan Fault Diagnosis System Based on LabVIEW DSP Module[J]. Computer and Modernization, 2010, 1(6): 144-0146.

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Fan Fault Diagnosis System Based on LabVIEW DSP Module

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