The entropy algorithm and its variants in the fault diagnosis of rotating machinery: A review

Y Li, X Wang, Z Liu, X Liang, S Si - Ieee Access, 2018 - ieeexplore.ieee.org
Rotating machines have been widely used in industrial engineering. The fault diagnosis of
rotating machines plays a vital important role to reduce the catastrophic failures and heavy …

Power electronics contribution to renewable energy conversion addressing emission reduction: Applications, issues, and recommendations

MA Hannan, MSH Lipu, PJ Ker, RA Begum… - Applied energy, 2019 - Elsevier
Global energy consumption is increasing at a dramatic rate and will likely continue to do so.
The major source of energy is still fossil fuel, which has resulted in the well-documented …

Grey data analysis

S Liu, Y Yang, J Forrest - Springer Singapore, Singapore, Doi, 2017 - Springer
In this book, we answer the calls of the readers of our previous publications and
systematically present the main advances in grey system theory and applications. By …

New progress of grey system theory in the new millennium

S Liu, Y Yang, N Xie, J Forrest - Grey Systems: Theory and …, 2016 - emerald.com
Purpose–The purpose of this paper is to summarize the progress in grey system research
during 2000-2015, so as to present some important new concepts, models, methods and a …

Stator fault analysis of three-phase induction motors using information measures and artificial neural networks

GH Bazan, PR Scalassara, W Endo, A Goedtel… - Electric Power Systems …, 2017 - Elsevier
The three-phase induction motors are considered one of the most important elements of the
industrial process. However, in this environment, these machines are subject to electrical …

Fatigue condition diagnosis of rolling bearing based on normalized balanced multiscale sample entropy

H Tan, S Xie, R Liu, J Cheng, K Jing - International Journal of Fatigue, 2023 - Elsevier
Rolling bearing is a key component of machinery, its fatigue failure will affect the reliability of
machinery. The bearing vibration signal has strong nonlinearity, resulting in weak fault …

Sensible multiscale symbol dynamic entropy for fault diagnosis of bearing

H Tan, S Xie, H Zhou, W Ma, C Yang… - International Journal of …, 2023 - Elsevier
Due to the complex service conditions of rolling bearings, vibration signals arising therefrom
exhibit non-linear characteristics, which means that single-scale feature extraction …

Switching techniques and intelligent controllers for induction motor drive: Issues and recommendations

MA Hannan, J Abd Ali, PJ Ker, A Mohamed… - IEEE …, 2018 - ieeexplore.ieee.org
Induction motor drive is widely used in many load applications in approximately 60% of the
total industrial load. However, the dynamic configuration of the induction motor, especially a …

Neural network fault diagnosis of voltage source inverter under variable load conditions at different frequencies

RB Dhumale, SD Lokhande - Measurement, 2016 - Elsevier
The major issue of open switch fault diagnosis in Voltage Source Inverters is false alarm
generated as a result of load and frequency variations. The main objective of this paper is to …

[PDF][PDF] A review of intelligent methods for condition monitoring and fault diagnosis of stator and rotor faults of induction machines.

O Alshorman, A Alshorman - International Journal of …, 2021 - pdfs.semanticscholar.org
Nowadays, induction motor (IM) is extensively used in industry, including mechanical and
electrical applications. However, three main types of IM faults have been discussed in the …