Shipboard Fault Detection Methods for Condition-based Maintenance

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.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Mechanical Engineering

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2022

Author dc:creator

• Quinn, Devin Wayne

Advisors dc:contributor.advisor

• Leeb, Steven B.
• Krause, Thomas C.

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright MIT

Licence dc:rights.uri

• http://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/144542

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/144542