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Shipboard Fault Detection Methods for Condition-based Maintenance

Author(s)
Quinn, Devin Wayne
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Advisor
Leeb, Steven B.
Krause, Thomas C.
Terms of use
In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/
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Abstract
Vibration analysis can measure and track machine health. Computational advances in signal processing that leverage spectral coherence to identify subtle shifts in cyclostationary behavior provide new opportunities in vibration-based monitoring. The acquisition of vibration measurements must overcome significant practical challenges for successful vibration analysis. This work demonstrates vibration analysis for shipboard fault detection. Custom instrumentation and measurement techniques are applied to compressors, pumps, fans, and other shipboard electric machines.
Date issued
2022-05
URI
https://hdl.handle.net/1721.1/144542
Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Publisher
Massachusetts Institute of Technology

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