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

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