Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/466422
Title: | Diagnostics of mechanical and electrical faults in induction motors based on support vector machine algorithms |
Researcher: | Gangsar, Purushottam |
Guide(s): | Tiwari, Rajiv |
Keywords: | Engineering Engineering and Technology Engineering Mechanical |
University: | Indian Institute of Technology Guwahati |
Completed Date: | 2018 |
Abstract: | Continuous and trouble free operation of induction motors IMs is an essential part of the modern power and production plants Accordingly this study presents fault diagnostics of the mechanical and electrical faults in IMs through an artificial intelligence AI methodology i e the support vector machine SVM algorithm Ten IM fault conditions are considered for the diagnosis i e four mechanical fault conditions i e the bearing fault the unbalanced rotor the bowed rotor and the misa |
Pagination: | Not Available |
URI: | http://hdl.handle.net/10603/466422 |
Appears in Departments: | DEPARTMENT OF MECHANICAL ENGINEERING |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_fulltext.pdf | Attached File | 18.93 MB | Adobe PDF | View/Open |
04_abstract.pdf | 186.27 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 479.22 kB | Adobe PDF | View/Open |
Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Altmetric Badge: