| dc.contributor.author | Jalan, Arun Kumar | |
| dc.date.accessioned | 2023-09-18T06:45:11Z | |
| dc.date.available | 2023-09-18T06:45:11Z | |
| dc.date.issued | 2022-05 | |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s42417-022-00548-2 | |
| dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11942 | |
| dc.description.abstract | Misalignment is one of the major reasons for rotating machinery breakdown. Conventionally, misalignment diagnosis is done by the occurrence of a strong peak at 2x running speed is widely accepted. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.subject | Mechanical Engineering | en_US |
| dc.subject | Vibro-Acoustic Sensor | en_US |
| dc.subject | Data Fusion | en_US |
| dc.title | Ensemble Subspace Discriminant Classifiers for Misalignment Fault Classification Using Vibro-acoustic Sensor Data Fusion | en_US |
| dc.type | Article | en_US |
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