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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jalan, Arun Kumar | - |
dc.date.accessioned | 2023-09-16T06:42:04Z | - |
dc.date.available | 2023-09-16T06:42:04Z | - |
dc.date.issued | 2009-11 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0022460X09005859 | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11935 | - |
dc.description.abstract | Vibration monitoring is one of the primary techniques of condition monitoring of rotating machines. Shaft misalignment and rotor unbalance are the main sources of vibration in rotating machines. In this study a model based technique for fault diagnosis of rotor–bearing system is described. Using the residual generation technique, residual vibrations are generated from experimental results for the rotor bearing system subject to misalignment and unbalance, and then the residual forces due to presence of faults are calculated. These residual forces are compared with the equivalent theoretical forces due to faults. The fault condition and location of faults are successfully detected by this model based technique. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Mechanical Engineering | en_US |
dc.subject | Vibration suppression | en_US |
dc.title | Model based fault diagnosis of a rotor–bearing system for misalignment and unbalance under steady-state condition | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Mechanical engineering |
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