Improved Fault Detection by Appropriate Control of Signal Bandwidth of the TSA

Eric Bechhoefer and Xinghui Zhang
Submission Type: 
Full Paper
phmc_15_064.pdf918.3 KBAugust 29, 2015 - 5:05am

Vibration analysis is well established tool for condition monitoring. It is usually assumed that higher sampling rates improve fault detection due to the increased bandwidth of the acquisition. That said, increased bandwidth may decrease the signal to noise, impairing fault detection. Alternatively, if the fault features’ bandwidth is greater than the system bandwidth, the fault cannot be observed.
One tool of vibration analysis is the Time Synchronous Average (TSA) analysis. Statistics of the TSA itself can be used as a fault feature, or statistics based on analysis performed on the TSA (energy operator, residual analysis, amplitude/frequency modulation analysis) are used as fault features. Additionally, the computation of the TSA requires a tachometer signal for zero crossing, which has its own bandwidth affect on the TSA analysis.
This paper discusses bandwidth control techniques to improve fault detection using the TSA. The techniques are validated using real world pinion data. These techniques have other advantages for embedded.

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Submission Keywords: 
vibration analysis
signal to noise
Submission Topic Areas: 
Data-driven methods for fault detection, diagnosis, and prognosis
Health management system design and engineering
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