Condition-based maintenance (CBM) is a maintenance program that recommends
maintenance decisions based on the information collected through condition monitoring. It …

The application of the wavelet transform for machine fault diagnostics has been developed
for last 10 years at a very rapid rate. A review on all of the literature is certainly not possible …

This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

Signal processing can be found in many applications and its primary goal is to provide
underlying information on specific problems for the purpose of decision making. Traditional …

This paper deals with the state-of-the-art strategies and techniques based on vibro-acoustic
signals that can monitor and diagnose malfunctions in Internal Combustion Engines (ICEs) …

Over the last few decades, the damage identification methods of civil and mechanical
structures have been drawing much interest from various fields. Wavelet analysis, a …

A reliable machine fault prognostic system can be used to forecast damage propagation
trend in rotary machinery and to provide an alarm before a fault reaches critical levels …

This paper introduces an automatic feature extraction system for gear and bearing fault
diagnosis using wavelet-based signal processing. Vibration signals recorded from two …

Vibration signals from a gearbox are usually noisy. As a result, it is difficult to find early
symptoms of a potential failure in a gearbox. Wavelet transform is a powerful tool to disclose …

Vibration signals resulting from rolling element bearing defects, present a rich content of
physical information, the appropriate analysis of which can lead to the clear identification of …