A system's operational life cycle now includes an integrated health management and
diagnostic strategy due to improvements in the current technology. It is evident that the life …

Gearbox is an important equipment in an automobile to transfer power from the engine to the
wheels with various speed ratios. The maintenance of the gearbox is a top criterion as it is …

In this article, a low-cost computer system for the monitoring and diagnosis of the condition
of the induction motor (IM) rolling bearings is demonstrated and tested. The system allows …

This paper presents vibration analysis techniques for fault detection in rotating machines.
Rolling element bearing defects inside a motor pump are the subject of study. Signal …

We present a generic procedure for diagnosing faults using features extracted from
noninvasive machine signals, based on supervised learning techniques to build the fault …

This paper reviews methods and applications of fault diagnosis and state detection in
centrifugal pumps. Different studies show the most common faults and their effects: Failures …

The characteristics of vibrations is one which is widely used for the non-intrusive inspection
and health monitoring of bearings. However, automated methods, intended for predicting the …

Les entraînements électriques à base de machine asynchrone sont largement utilisés dans
les applications industrielles en raison de leur faible coût, de leurs performances et de leur …

This paper describes a machine learning solution for the detection of defective embedded
bearings in home appliances by sound analysis. The bearings are installed deep into the …

This work presents a performance analysis of the Extreme Learning Machine (ELM)
compared to the Support Vector Machine (SVM) and K-Nearest Neighbor (K-NN) classifiers …