Ensemble Subspace Discriminant Classifiers for Misalignment Fault Classification Using Vibro-acoustic Sensor Data Fusion

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dc.contributor.authorJalan, Arun Kumar
dc.date.accessioned2023-09-18T06:45:11Z
dc.date.available2023-09-18T06:45:11Z
dc.date.issued2022-05
dc.description.abstractMisalignment 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.identifier.urihttps://link.springer.com/article/10.1007/s42417-022-00548-2
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11942
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectMechanical Engineeringen_US
dc.subjectVibro-Acoustic Sensoren_US
dc.subjectData Fusionen_US
dc.titleEnsemble Subspace Discriminant Classifiers for Misalignment Fault Classification Using Vibro-acoustic Sensor Data Fusionen_US
dc.typeArticleen_US

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