Rotating Machine Fault Detection
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- Published on Saturday, 27 August 2011 22:16 Geoff McDonald Hits: 441
Detecting faults in rotating machines from vibration data is a bit of a specialization of mine and was the the topic of my thesis.
- G. L. McDonald and Q. Zhao, “Model-based adaptive frequency estimator for gear crack fault detection,” in American Control Conference, 2011, june 2011.
This is a conference paper using an adaptive control system method for detecting gear crack faults from acceleration data.
- G. L. McDonald, Q. Zhao, and M. J. Zuo, “Maximum correlated kurtosis deconvolution and application on gear tooth chip fault detection,” in review process for Mechanical Systems and Signal Processing journal.
This is a much more interesting paper that is under review right now. A deconvolution technique is proposed for the extraction of faults from vibration data.
You can find a MATLAB implementation of 2D minimum entropy deconvolution and maximum correlated kurtosis deconvolution here:
Rotating Machine Fault Detection