Rolling Bearing Fault Diagnosis on Vibration-Based Condition Monitoring of Induction Machines Using Machine Learning Approaches
dc.contributor.advisor | Panjiyar, Anil Kumar | |
dc.contributor.author | Dahal, Prakash | |
dc.date.accessioned | 2025-05-04T05:51:13Z | |
dc.date.available | 2025-05-04T05:51:13Z | |
dc.date.issued | 2025-04 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14540/24976 | |
dc.language.iso | en | |
dc.publisher | I.O.E | |
dc.subject | Squirrel Cage Induction Machine | |
dc.subject | Rolling Bearing Faults | |
dc.subject | Condition Monitoring | |
dc.title | Rolling Bearing Fault Diagnosis on Vibration-Based Condition Monitoring of Induction Machines Using Machine Learning Approaches | |
dc.type | Thesis | |
local.academic.level | Masters | |
local.institute.title | Institute of Engineering |
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