Abstract To implement Prognostics and Health Management (PHM) for industrial systems, it
is paramount to conduct early fault prognosis on the systems to ensure the stability and …

Background An induction motor is at the heart of every rotating machine and hence it is a
very vital component. Almost in every industry, around 90% of the machines apply an …

The vibration signals of rolling bearings are unstable and nonlinear, with weak information
on failure features and extremely low signal-to-noise ratio (SNR). To solve these problems …

The stator current signals of mining asynchronous motor are often non-stationary, making it
challenging to extract fault features in the time domain. Therefore, this paper proposes a …

As the concept of Industry 4.0 is introduced, artificial intelligence-based fault analysis is
attracted the corresponding community to develop effective intelligent fault diagnosis and …

Motivation: This paper presents the high contact resistance (HCR) and rotor bar faults by an
extraction method for an induction motor using Discrete Wavelet Transform (DWT) and …

Detection and fault‐tolerant control (FTC) of faults in the early stage is desirable in improving
efficiency. An implementation strategy is proposed for the individual controllers that work …

This paper describes a vector-controlled Permanent Magnet Synchronous Motor (PMSM)
drive system with the current sensor fault detection mechanism. In general, the control …

Sensorless speed estimation has been extensively studied for its use in control schemes.
Nevertheless, it is also a key step when applying Motor Current Signature Analysis to …

This paper introduces a reliable approach based on start-up transient analysis using inverse
thresholding to spectrogram for early detection of a broken rotor bar fault in an induction …