Faults Feature Extraction Using Discrete Wavelet Transform and Artificial Neural Network for Induction Motor Availability Monitoring—Internet of Things Enabled Environment

Multiple Fault Detection in Induction Motors through Homogeneity and Kurtosis Computation

(2022) Ana L. Martinez-Herrera et al.   Energies

Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions

(2021) Tianci Zhang et al.   ISA TRANSACTIONS

Coupled neurons with multi-objective optimization benefit incipient fault identification of machinery

(2021) Zijian Qiao et al.   CHAOS SOLITONS & FRACTALS

Review on Supervised and Unsupervised Learning Techniques for Electrical Power Systems: Algorithms and Applications

(2021) Songbo Chen   IEEJ Transactions on Electrical and Electronic Engineering

A Review of Techniques Used for Induction Machine Fault Modelling

(2021) Carla Terron-Santiago et al.   SENSORS

Diagnostic Modelling for Induction Motor Faults via ANFIS Algorithm and DWT-Based Feature Extraction

(2021) Menshawy A. Mohamed et al.   Applied Sciences-Basel

Smart-Sensor for the Automatic Detection of Electromechanical Faults in Induction Motors Based on the Transient Stray Flux Analysis

(2020) Israel Zamudio-Ramírez et al.   SENSORS

Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers

(2020) Rafia Nishat Toma et al.   SENSORS

Review on Machine Learning Algorithm Based Fault Detection in Induction Motors

(2020) Prashant Kumar et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Convolutional Neural Network and Motor Current Signature Analysis during the Transient State for Detection of Broken Rotor Bars in Induction Motors

(2020) Martin Valtierra-Rodriguez et al.   SENSORS

Bearing Fault Classification of Induction Motors Using Discrete Wavelet Transform and Ensemble Machine Learning Algorithms

(2020) Rafia Nishat Toma et al.   Applied Sciences-Basel

Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review

(2020) Purushottam Gangsar et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

New quantum-genetic based OLSR protocol (QG-OLSR) for Mobile Ad hoc Network

(2019) De-gan Zhang et al.   APPLIED SOFT COMPUTING

A Comparative Study between Machine Learning Algorithm and Artificial Intelligence Neural Network in Detecting Minor Bearing Fault of Induction Motors

(2019) Shrinathan Esakimuthu Pandarakone et al.   Energies

Fault Diagnosis System for Induction Motors by CNN Using Empirical Wavelet Transform

(2019) Yu-Min Hsueh et al.   Symmetry-Basel

Induction Motors Fault Diagnosis Using Finite Element Method: A Review

(2019) Xiaodong Liang et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

State of the Art and Trends in the Monitoring, Detection and Diagnosis of Failures in Electric Induction Motors

(2017) Yuri Merizalde et al.   Energies

Dual buffer rotation four-stage pipeline for CPU–GPU cooperative computing

(2017) Tao Li et al.   SOFT COMPUTING

Broken Rotor Bar Fault Detection and Classification Using Wavelet Packet Signature Analysis Based on Fourier Transform and Multi-Layer Perceptron Neural Network

(2017) Sahar Zolfaghari et al.   Applied Sciences-Basel