Type of Material: | Thesis |
Title: | Condition monitoring intelligent degradation assessment and residual life estimation of rolling element bearing using Artificial intelligence techniques |
Researcher: | Kumar, Prem Shankar |
Guide: | Kumaraswamidhas, L.A. | Laha, S.K. |
Department: | Department of Mining Machinery Engineering |
Publisher: | Indian School of Mines, Dhanbad |
Place: | Dhanbad |
Year: | 2021 |
Language: | English |
Subject: | Intelligent degradation | Residual life | Rolling element | Artificial intelligence |
Dissertation/Thesis Note: | PhD |
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003 | IN-AhILN | |
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035 | __ | |a(IN-AhILN)th_445179 |
040 | __ | |aISMD_826004|dIN-AhILN |
041 | __ | |aeng |
100 | __ | |aKumar, Prem Shankar|eResearcher |
110 | __ | |aDepartment of Mining Machinery Engineering|bIndian School of Mines, Dhanbad|dDhanbad |
245 | __ | |aCondition monitoring intelligent degradation assessment and residual life estimation of rolling element bearing using Artificial intelligence techniques |
260 | __ | |aDhanbad|bIndian School of Mines, Dhanbad|c2021 |
502 | __ | |bPhD |
653 | __ | |aIntelligent degradation |
653 | __ | |aResidual life |
653 | __ | |aRolling element |
653 | __ | |aArtificial intelligence |
700 | __ | |aKumaraswamidhas, L.A.|eGuide |
700 | __ | |aLaha, S.K.|eGuide |
905 | __ | |anotification |
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