Condition Monitoring and Fault Diagnosis of Induction Machine Using Artificial Intelligence Methods and Empirical Mode Decomposition

Master's

Saved in:

Bibliographic Details
Main Author:	CHEN WEE YUAN
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Theses and Dissertations
Language:	English
Published:	2012
Subjects:	Machine fault diagnosis, Self-organizing map, k-nearest neighbors, multi-class support vector machine, bearing fault, broken rotor bar fault
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/30244
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-30244
record_format	dspace
spelling	sg-nus-scholar.10635-302442017-10-21T10:01:57Z Condition Monitoring and Fault Diagnosis of Induction Machine Using Artificial Intelligence Methods and Empirical Mode Decomposition CHEN WEE YUAN ELECTRICAL & COMPUTER ENGINEERING XU JIANXIN PANDA, SANJIB KUMAR Machine fault diagnosis, Self-organizing map, k-nearest neighbors, multi-class support vector machine, bearing fault, broken rotor bar fault Master's MASTER OF ENGINEERING 2012-01-31T18:00:19Z 2012-01-31T18:00:19Z 2011-06-06 Thesis CHEN WEE YUAN (2011-06-06). Condition Monitoring and Fault Diagnosis of Induction Machine Using Artificial Intelligence Methods and Empirical Mode Decomposition. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/30244 NOT_IN_WOS en
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
language	English
topic	Machine fault diagnosis, Self-organizing map, k-nearest neighbors, multi-class support vector machine, bearing fault, broken rotor bar fault
spellingShingle	Machine fault diagnosis, Self-organizing map, k-nearest neighbors, multi-class support vector machine, bearing fault, broken rotor bar fault CHEN WEE YUAN Condition Monitoring and Fault Diagnosis of Induction Machine Using Artificial Intelligence Methods and Empirical Mode Decomposition
description	Master's
author2	ELECTRICAL & COMPUTER ENGINEERING
author_facet	ELECTRICAL & COMPUTER ENGINEERING CHEN WEE YUAN
format	Theses and Dissertations
author	CHEN WEE YUAN
author_sort	CHEN WEE YUAN
title	Condition Monitoring and Fault Diagnosis of Induction Machine Using Artificial Intelligence Methods and Empirical Mode Decomposition
title_short	Condition Monitoring and Fault Diagnosis of Induction Machine Using Artificial Intelligence Methods and Empirical Mode Decomposition
title_full	Condition Monitoring and Fault Diagnosis of Induction Machine Using Artificial Intelligence Methods and Empirical Mode Decomposition
title_fullStr	Condition Monitoring and Fault Diagnosis of Induction Machine Using Artificial Intelligence Methods and Empirical Mode Decomposition
title_full_unstemmed	Condition Monitoring and Fault Diagnosis of Induction Machine Using Artificial Intelligence Methods and Empirical Mode Decomposition
title_sort	condition monitoring and fault diagnosis of induction machine using artificial intelligence methods and empirical mode decomposition
publishDate	2012
url	http://scholarbank.nus.edu.sg/handle/10635/30244
_version_	1681080927775621120

Condition Monitoring and Fault Diagnosis of Induction Machine Using Artificial Intelligence Methods and Empirical Mode Decomposition

Similar Items