ISSN: 2349-5162

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Published in:

Volume 2 Issue 4
April-2015
eISSN: 2349-5162

Unique Identifier

JETIR1504085

Page Number

1297-1303

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Title

PCA and FDA Based Dimensionality Reduction Techniques for Effective Fault diagnosis of Rolling Element Bearing

ISSN

2349-5162

Cite This Article

"PCA and FDA Based Dimensionality Reduction Techniques for Effective Fault diagnosis of Rolling Element Bearing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 4, page no.1297-1303, April-2015, Available :http://www.jetir.org/papers/JETIR1504085.pdf

Abstract

This paper uses Multi-Layer Perceptron Neural Network (MLPNN) for comparing the linear dimensionality reduction techniques (DRTs) for fault diagnosis in rolling element bearing (REB).The vibration signals from normal bearing (N), bearing with defect on ball (B), bearing with defect on inner race (IR) and bearing with defect on outer race (OR) have been acquired under different radial loads and shaft speeds. These signals were subjected to wavelet based denoising technique, from which 17 statistical features have been extracted. Linear DRTs namely, principal component analysis (PCA) and Fisher’s discriminant analysis (FDA) have been used to select the sensitive features. The selected features have been evaluated using MLPNN. Finally a comparison of Linear DRTs based on MLPNN performance is presented.

Key Words

Rolling element bearing, condition monitoring, Wavelet transform, PCA, FDA, MLPNN.

Cite This Article

"PCA and FDA Based Dimensionality Reduction Techniques for Effective Fault diagnosis of Rolling Element Bearing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 4, page no. pp1297-1303, April-2015, Available at : http://www.jetir.org/papers/JETIR1504085.pdf

Publication Details

Published Paper ID: JETIR1504085
Registration ID: 150394
Published In: Volume 2 | Issue 4 | Year April-2015
DOI (Digital Object Identifier):
Page No: 1297-1303
ISSN Number: 2349-5162

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Cite This Article

"PCA and FDA Based Dimensionality Reduction Techniques for Effective Fault diagnosis of Rolling Element Bearing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 4, page no. pp1297-1303, April-2015, Available at : http://www.jetir.org/papers/JETIR1504085.pdf




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