Application Combining VMD and ResNet101 in Intelligent Diagnosis of Motor Faults

Intelligent diagnosis of mechanical faults of in-wheel motor based on improved artificial hydrocarbon networks

(2021) Hongtao Xue et al.   ISA TRANSACTIONS

Generation of a Diagnosis Model for Hybrid-Electric Vehicles using Machine Learning

(2020) Simon Meckel et al.   MICROPROCESSORS AND MICROSYSTEMS

Non-Contact Fault Diagnosis of Bearings in Machine Learning Environment

(2020) Deepam Goyal et al.   IEEE SENSORS JOURNAL

Unsupervised deep representation learning for motor fault diagnosis by mutual information maximization

(2020) Dengyu Xiao et al.   JOURNAL OF INTELLIGENT MANUFACTURING

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

(2020) Rafia Nishat Toma et al.   SENSORS

A novel method of composite multiscale weighted permutation entropy and machine learning for fault complex system fault diagnosis

(2020) Cheng He et al.   MEASUREMENT

Demagnetization Fault Diagnosis of a PMSM Using Auto-Encoder and K-Means Clustering

(2020) Lien-Kai Chang et al.   Energies

An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals

(2020) Thomas Walter Rauber et al.   EXPERT SYSTEMS WITH APPLICATIONS

Condition Monitoring and Fault Diagnosis of Induction Motor

(2020) Swapnil K. Gundewar et al.   Journal of Vibration Engineering & Technologies

Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach

(2019) Hong-Chan Chang et al.   Energies

Machine Learning-Based Fault Diagnosis for Single- and Multi-Faults in Induction Motors Using Measured Stator Currents and Vibration Signals

(2019) Mohammad Zawad Ali et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Novel method for identifying and diagnosing electric vehicle shock absorber squeak noise based on a DNN

(2019) Hai B. Huang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

Motor Torque Fault Diagnosis for Four Wheel Independent Motor-Drive Vehicle Based on Unscented Kalman Filter

(2018) Hongliang Zhou et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Fault-diagnosis for reciprocating compressors using big data and machine learning

(2018) Guanqiu Qi et al.   SIMULATION MODELLING PRACTICE AND THEORY

An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox

(2017) Luyang Jing et al.   SENSORS

An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis

(2017) Shaobo Li et al.   SENSORS

Bearing Fault Diagnosis under Variable Speed Using Convolutional Neural Networks and the Stochastic Diagonal Levenberg-Marquardt Algorithm

(2017) Viet Tra et al.   SENSORS

A Novel Evidence Theory and Fuzzy Preference Approach-Based Multi-Sensor Data Fusion Technique for Fault Diagnosis

(2017) Fuyuan Xiao   SENSORS

Review of the Fault Mechanism and Diagnostic Techniques for the Range Extender Hybrid Electric Vehicle

(2017) Xiaowei Xu et al.   IEEE Access

A Novel Black and White Box Method for Diagnosis and Reduction of Abnormal Noise of Hub Permanent-Magnet Synchronous Motors for Electric Vehicles

(2016) Conggan Ma et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Integrated Fault Diagnosis Algorithm for Motor Sensors of In-Wheel Independent Drive Electric Vehicles

(2016) Namju Jeon et al.   SENSORS

Current Sensor Fault Diagnosis Based on a Sliding Mode Observer for PMSM Driven Systems

(2015) Gang Huang et al.   SENSORS

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Fault diagnosis of ball bearings using machine learning methods

(2010) P.K. Kankar et al.   EXPERT SYSTEMS WITH APPLICATIONS