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

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

Internet

http://scholarbank.nus.edu.sg/handle/10635/30244

Similar Items