Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review
Uninterrupted and trouble-free operation of induction motors (IMs) is the compulsion of the
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …
Artificial intelligence for fault diagnosis of rotating machinery: A review
Fault diagnosis of rotating machinery plays a significant role for the reliability and safety of
modern industrial systems. As an emerging field in industrial applications and an effective …
modern industrial systems. As an emerging field in industrial applications and an effective …
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
A Glowacz, W Glowacz, Z Glowacz, J Kozik - Measurement, 2018 - Elsevier
An article describes an early fault diagnostic technique based on acoustic signals. The
presented technique was used for a single-phase induction motor. The authors measured …
presented technique was used for a single-phase induction motor. The authors measured …
Review on machine learning algorithm based fault detection in induction motors
Fault detection prior to their occurrence or complete shut-down in induction motor is
essential for the industries. The fault detection based on condition monitoring techniques …
essential for the industries. The fault detection based on condition monitoring techniques …
Role of artificial intelligence in rotor fault diagnosis: A comprehensive review
Artificial intelligence (AI)-based rotor fault diagnosis (RFD) poses a variety of challenges to
the prognostics and health management (PHM) of the Industry 4.0 revolution. Rotor faults …
the prognostics and health management (PHM) of the Industry 4.0 revolution. Rotor faults …
Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network
Existing deep learning methods commonly requires massive labeled data for compound
fault diagnosis, which is difficult and time-consuming to collect in the real application. This …
fault diagnosis, which is difficult and time-consuming to collect in the real application. This …
Condition monitoring and fault diagnosis of induction motor
SK Gundewar, PV Kane - Journal of Vibration Engineering & Technologies, 2021 - Springer
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 …
very vital component. Almost in every industry, around 90% of the machines apply an …
Diagnosis of the three-phase induction motor using thermal imaging
A Glowacz, Z Glowacz - Infrared physics & technology, 2017 - Elsevier
Three-phase induction motors are used in the industry commonly for example woodworking
machines, blowers, pumps, conveyors, elevators, compressors, mining industry, automotive …
machines, blowers, pumps, conveyors, elevators, compressors, mining industry, automotive …
Acoustic based fault diagnosis of three-phase induction motor
A Glowacz - Applied Acoustics, 2018 - Elsevier
The article describes acoustic based fault diagnosis techniques of a three-phase induction
motor. Four real states of the three-phase induction motor were analysed: healthy three …
motor. Four real states of the three-phase induction motor were analysed: healthy three …
Multiple fault detection in induction motors through homogeneity and kurtosis computation
AL Martinez-Herrera, ER Ferrucho-Alvarez… - Energies, 2022 - mdpi.com
In the last few years, induction motor fault detection has provoked great interest among
researchers because it is a fundamental element of the electric-power industry …
researchers because it is a fundamental element of the electric-power industry …