This paper presents an up-to-date review of data-driven condition monitoring of industrial
equipment with the focus on three commonly used equipment: motors, pumps, and bearings …

Condition monitoring schemes are essential for increasing the reliability and ensuring the
equipment efficiency in industrial processes. The feature extraction and dimensionality …

Bearings are the elements that allow the rotatory movement in induction motors, and the
fault occurrence in these elements is due to excessive working conditions. In induction …

With the increasing demand for automated manufacturing and logistics system, interior
permanent magnet synchronous motors (IPMSMs) are being actively researched because of …

A misalignment fault is a kind of potential fault in double-fed wind turbines. The reasonable
and effective fault prediction models are used to predict its development trend before serious …

This paper presents multiple fault diagnosis and detection using artificial neural feed forward
network. In this work analysis is done on induction motor, as these motor are widely used in …

Fault diagnosis is significant for identifying latent abnormalities, and implementing fault-
tolerant operations for minimizing performance degradation caused by failures in industrial …

Recognition of human body posture from the signals of wearable sensor has attracted a
great interests in many applications, such as health care, aged care and sports. Main aim of …

The transient proper orthogonal decomposition (TPOD) method is applied for order
reduction in the rotor-bearing system with the coupling faults in this paper. A 24 degrees of …

In an effort to achieve an optimal availability time of induction motors via fault probabilities
reduction and improved prediction or diagnostic tools responsiveness, a conditional …