Data-driven early fault diagnostic methodology of permanent magnet synchronous motor

Ensemble adaptive convolutional neural networks with parameter transfer for rotating machinery fault diagnosis

(2021) Ke Zhao et al.   International Journal of Machine Learning and Cybernetics

A data-driven early micro-leakage detection and localization approach of hydraulic systems

(2021) Bao-ping Cai et al.   Journal of Central South University

Local Demagnetization Fault Recognition of Permanent Magnet Synchronous Linear Motor Based on S-Transform and PSO–LSSVM

(2020) Xuewei Song et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Early and extremely early multi-label fault diagnosis in induction motors

(2020) Mario Juez-Gil et al.   ISA TRANSACTIONS

An effective method for detection of stator fault in PMSM with 1D-LBP

(2020) Mehmet Recep Mi̇naz   ISA TRANSACTIONS

Euclidean distance based feature ranking and subset selection for bearing fault diagnosis

(2020) Sachin P. Patel et al.   EXPERT SYSTEMS WITH APPLICATIONS

A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series

(2020) Seçkin Karasu et al.   ENERGY

A study on adaptation lightweight architecture based deep learning models for bearing fault diagnosis under varying working conditions

(2020) Jie Wu et al.   EXPERT SYSTEMS WITH APPLICATIONS

On Fault Diagnosis for High-G Accelerometers via Data-Driven Models

(2020) Jingjing Wen et al.   IEEE SENSORS JOURNAL

A neuro-inspired computational model for adaptive fault diagnosis

(2019) Mohsen Moghaddam et al.   EXPERT SYSTEMS WITH APPLICATIONS

Bearing faults diagnosis using fuzzy expert system relying on an Improved Range Overlaps and Similarity method

(2018) Toufik Berredjem et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fault Detection of Stator Inter-Turn Short-Circuit in PMSM on Stator Current and Vibration Signal

(2018) Hong Liang et al.   Applied Sciences-Basel

An improved support vector machine-based diabetic readmission prediction

(2018) Shaoze Cui et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep residual learning-based fault diagnosis method for rotating machinery

(2018) Wei Zhang et al.   ISA TRANSACTIONS

A Dynamic-Bayesian-Network-Based Fault Diagnosis Methodology Considering Transient and Intermittent Faults

(2017) Baoping Cai et al.   IEEE Transactions on Automation Science and Engineering

A Data-Driven Fault Diagnosis Methodology in Three-Phase Inverters for PMSM Drive Systems

(2017) Baoping Cai et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Data-based fault detection in chemical processes: Managing records with operator intervention and uncertain labels

(2016) Mahdieh Askarian et al.   EXPERT SYSTEMS WITH APPLICATIONS

Heterogeneous Sensor Data Fusion Approach for Real-time Monitoring in Ultraprecision Machining (UPM) Process Using Non-Parametric Bayesian Clustering and Evidence Theory

(2016) Omer F. Beyca et al.   IEEE Transactions on Automation Science and Engineering

A novel approach for incipient defect detection in rolling bearings using acoustic emission technique

(2015) Juan Luis Ferrando Chacon et al.   APPLIED ACOUSTICS

ANN based fault diagnosis of permanent magnet synchronous motor under stator winding shorted turn

(2015) S.S. Moosavi et al.   ELECTRIC POWER SYSTEMS RESEARCH

Reliable Fault Diagnosis for Low-Speed Bearings Using Individually Trained Support Vector Machines With Kernel Discriminative Feature Analysis

(2015) Myeongsu Kang et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis–Taguchi system

(2013) Xiaohang Jin et al.   EXPERT SYSTEMS WITH APPLICATIONS

Advanced Eccentricity Fault Recognition in Permanent Magnet Synchronous Motors Using Stator Current Signature Analysis

(2013) Bashir Mahdi Ebrahimi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Multi-scale bistable stochastic resonance array: A novel weak signal detection method and application in machine fault diagnosis

(2013) XiaoFei Zhang et al.   Science China-Technological Sciences