UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

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

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1504085


Registration ID:
150394

Page Number

1297-1303

Share This Article


Jetir RMS

Title

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

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), ISSN:2349-5162, Vol.2, Issue 4, page no.1297-1303, April-2015, Available :http://www.jetir.org/papers/JETIR1504085.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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
Country: KARKALA,UDUPI, KARNATAKA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003207

Print This Page

Current Call For Paper

Jetir RMS