Title : Development of deep learning based multiple fault detection approach for Squirrel cage induction motor

Type of Material: Thesis
Title: Development of deep learning based multiple fault detection approach for Squirrel cage induction motor
Researcher: Kumar, Prashant
Guide: Hati, Anand Shankar
Department: Department of Mining Machinery Engineering
Publisher: Indian School of Mines, Dhanbad
Place: Dhanbad
Year: 2022
Language: English
Subject: Deep learning
Squirrel cage induction motor
Dissertation/Thesis Note: PhD

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035__|a(IN-AhILN)th_444464
040__|aISMD_826004|dIN-AhILN
041__|aeng
100__|aKumar, Prashant|eResearcher
110__|aDepartment of Mining Machinery Engineering|bIndian School of Mines, Dhanbad|dDhanbad
245__|aDevelopment of deep learning based multiple fault detection approach for Squirrel cage induction motor
260__|aDhanbad|bIndian School of Mines, Dhanbad|c2022
502__|bPhD
653__|aDeep learning
653__|aSquirrel cage induction motor
700__|aHati, Anand Shankar|eGuide
905__|anotification

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