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- 2Condition based maintenance
- 1Artificial neural network
- 1Bayesian inference
- 1Cost and availability models
- 1Crack initiation
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Gearbox Fault Feature Extraction Using Hilbert Transform, S-Transform, and a Statistical Indicator
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Vibration analysis has been widely used in machine fault feature extraction and diagnosis of rotating machinery. The effects of modulation and nonstationarity in vibration signals collected from a faulty gearbox present challenges for fault feature extraction. Hilbert transform and S-transform...
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Fall 2016
This research targets to develop condition based maintenance models for better maintenance decisions. We address a condition and age based replacement decision problem using the complete history of measured condition observations to minimize long-run average cost or maximize long-run average...
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Spring 2016
Vibration analysis has been widely used to detect gear tooth fault inside a planetary gearbox. However, the vibration characteristics of a planetary gearbox are very complicated. Inside a planetary gearbox, there are multiple vibration sources as several sun-planet gear pairs and several...
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Fall 2018
Maintenance management in wind energy industry has great impact on overall wind power cost. Optimizing maintenance strategies can substantially reduces the cost and makes wind energy more competitive among the energy resources. Due to the extreme conditions of remote or offshore sites where the...
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Fall 2020
Gearboxes are widely used in modern power transmission systems such as wind turbines, helicopters, and railway vehicles. Due to inappropriate operation conditions or fatigue degradation, faults may develop in gears. If early faults cannot be detected and their severity assessed in a timely...