Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/420236
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Mechanical Engineering | |
dc.date.accessioned | 2022-11-18T05:50:27Z | - |
dc.date.available | 2022-11-18T05:50:27Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/420236 | - |
dc.description.abstract | Reliable detection and isolation of centrifugal pump CP faults is a challenging and important task in the modern industries Hence this study proposes machine learning based multi fault detection of CPs driven by induction motor The intelligent fault detection methodology is developed based on the multi class support vector machine SVM The mechanical and hydraulic faults in CPs are mutually dependent and therefore may exist concurrently Hence in the present research an assortment of v... | |
dc.format.extent | Not Available | |
dc.language | English | |
dc.relation | Not Available | |
dc.rights | self | |
dc.title | Diagnosis of multiple independent and coexisting mechanical and hydraulic faults in centrifugal pumps using support vector machine based algorithms | |
dc.title.alternative | Not available | |
dc.creator.researcher | Shruti, Rapur Janani | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering Mechanical | |
dc.description.note | Not Available | |
dc.contributor.guide | Tiwari, Rajiv | |
dc.publisher.place | Guwahati | |
dc.publisher.university | Indian Institute of Technology Guwahati | |
dc.publisher.institution | DEPARTMENT OF MECHANICAL ENGINEERING | |
dc.date.registered | 2014 | |
dc.date.completed | 2019 | |
dc.date.awarded | 2019 | |
dc.format.dimensions | Not Available | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | DEPARTMENT OF MECHANICAL ENGINEERING |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_fulltext.pdf | Attached File | 20.06 MB | Adobe PDF | View/Open |
04_abstract.pdf | 118.76 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 245.86 kB | Adobe PDF | View/Open |
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