Shipboard Fault Detection Methods for Condition-based Maintenance
Name
quinn-dwquinn-smme-mech-2022-thesis.pdf
Description
Thesis PDF
Size
56.15 MB
Format
Adobe PDF
Checksum (MD5)
0c3ce6f783a95c4beff07c83e287e199
Author(s)
Quinn, Devin Wayne
Advisor(s)
Leeb, Steven B.
Krause, Thomas C.
Date Issued
May 2022
Publisher
Massachusetts Institute of Technology
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.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
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