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Fault Detection of Rotating Machinery using the Spectral Distribution FunctionThe spectral distribution function is introduced to characterize the process leading to faults in rotating machinery. It is shown to be a more robust indicator than conventional power spectral density estimates, but requires only slightly more computational effort. The method is illustrated with examples from seeded gearbox transmission faults and an analytical model of a defective bearing. Procedures are suggested for implementation in realistic environments.
Document ID
20020043045
Document Type
Preprint (Draft being sent to journal)
Authors
Davis, Sanford S. (NASA Ames Research Center Moffett Field, CA United States)
Date Acquired
August 20, 2013
Publication Date
January 1, 1997
Subject Category
Quality Assurance and Reliability
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.