Adjustable-speed drives perform many vital control functions in the industry, serving in such
diverse applications as rolling mills, variable-speed compressors, fans, and pumps. When …

This research investigates a novel data-driven approach to condition monitoring of
electromechanical actuators (EMAs) consisting of feature extraction and fault classification …

Bearings are considered as a critical component in Induction Motors (IM). An approach
based on Motor current Signature analysis (MCSA) is presented to detect bearing faults …

Adjustable speed drives (ASDs) are widely used in industry for controlling electric motors in
applications such as rolling mills, compressors, fans, and pumps. Condition monitoring of …

The coal mining environment where the plate conveyor is located often has narrow space,
violent mechanical vibration, and explosion-proof requirements. Therefore, collecting …

This research investigates a novel data-driven approach to condition monitoring of Electrical-
Mechanical Actuators (EMAs) consisting of feature extraction and fault classification. The …

This paper presents a novel method to detect bearing defects in adjustable speed drives
(ASD's). The harmonics in pulse-width-modulation (PWM) input voltage waveforms and EMI …

This research investigates a novel data driven approach to condition monitoring of Electro-
Mechanical Actuators (EMAs) consisting of feature extraction and fault classification. The …

This paper considers several components in the architecture and design of systems to
discriminate conditions and fuse the data. It focuses on the problems of missing detections …

This research investigates a novel data driven approach to condition monitoring of Electro-
Mechanical Actuators (EMAs) consisting of feature extraction and fault classification. Since …