A Machine Condition Monitoring Framework Using Compressed Signal Processing

Remotely Gear Condition Monitoring Using Traditional Signal Processing Techniques

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Intelligent Vibration Signal Processing for Condition Monitoring

Recent advances in pattern analysis techniques together with the advent of miniature vibration sensors and high speed data acquisition technologies provide a unique opportunity to develop and implement in-situ, beneficent, and non-intrusive condition monitoring and quality assessment methods for a broad range of rotating machineries. This invited paper provides an overview of such a framework. ...

Complex-valued Signal Processing for Condition Monitoring

This paper concerns the analysis of stationary complex-valued signals, and its application to the condition monitoring field. More particularly, it is confirmed that usual tools such as correlation function or power spectrum are insufficient to entirely describe the statistical and geometrical properties of complex-valued signals. In that case, additional time and spectral domain quantities, na...

Machine-Condition Monitoring using Vibration Analysis

A Compressed Sensing Signal Processing Research

In the classical Shannon/Nyquist sampling theorem, information is not lost in uniformly sampling a signal, signal must be sampled at least two times faster than its bandwidth. Because of the restriction of the Nyquist rate, it end up with too many samples in many applications, and it becomes a great challenge for further transmission and storage. In recent years, an emerging theory of signal ac...