Unsupervised Neural-Network-Based Algorithm for an On-Line Diagnosis of Three-Phase Induction Motor Stator Fault

No abstract is available for this paper.

• Publication year

  2007

• Venue

  IEEE transactions on industrial electronics (1982. Print)

• Publication date

  2007-02-05

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/TIE.2006.888790
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Influence of cultivation temperature on the ligninolytic activity of selected fungal strains

  2006cited by this paper
• A review of stator fault monitoring techniques of induction motors

  2005cited by this paper
• Induction machine fault detection using SOM-based RBF neural networks

  2004cited by this paper
• Induction motor stator faults diagnosis by a current Concordia pattern-based fuzzy decision system

  2003cited by this paper
• Induction motor fault detection and diagnosis using supervised and unsupervised neural networks

  2002cited by this paper
• Stator winding turn-fault detection for closed-loop induction motor drives

  2002cited by this paper
• Continual on-line training of neural networks with applications to electric machine fault diagnostics

  2001cited by this paper
• High bandwidth direct adaptive neurocontrol of induction motor current and speed using continual online random weight change training

  1999cited by this paper
• Condition monitoring and fault diagnosis of electrical machines-a review

  1999cited by this paper
• Monitoring and diagnosis of induction motors electrical faults using a current Park's vector pattern learning approach

  1999cited by this paper
• A review of induction motors signature analysis as a medium for faults detection

  1998cited by this paper
• Recent developments of induction motor drives fault diagnosis using AI techniques

  1998cited by this paper
• Principal component neural networks — Theory and applications

  1998cited by this paper
• A novel approach for broken rotor bar detection in cage induction motors

  1998cited by this paper
• Inter-turn stator winding fault diagnosis in three-phase induction motors, by Park's Vector approach

  1997cited by this paper
• Using a neural/fuzzy system to extract heuristic knowledge of incipient faults in induction motors. Part I-Methodology

  1995cited by this paper
• Detection of faults in induction motors using artificial neural networks

  1995cited by this paper
• Rotor cage fault diagnosis in three-phase induction motors, by Park's vector approach

  1995cited by this paper
• An unsupervised, on-line system for induction motor fault detection using stator current monitoring

  1994cited by this paper
• Methodology for on-line incipient fault detection in single-phase squirrel-cage induction motors using artificial neural networks

  1991cited by this paper
• Optimal unsupervised learning in a single-layer linear feedforward neural network

  1989cited by this paper
• Noninvasive detection of broken rotor bars in operating induction motors

  1988influential reference
• Condition Monitoring of Electrical Machines

  1986cited by this paper
• Simplified neuron model as a principal component analyzer

  1982cited by this paper
• LIII. On lines and planes of closest fit to systems of points in space

  1901cited by this paper
• AND T

  year unknowncited by this paper

• Physics-Informed Heterogeneous Ensemble for Decoupling Weak Faults in Induction Motors

  2026cites this paper
• Multi-Level Short Circuit Fault Detection in Induction Motors Using Deep CNN-LSTM Networks for Industry 4.0 Applications

  2026cites this paper
• An Unsupervised Learning Model for Intelligent Machine‐Failure Prediction With Heterogeneous Sensors

  2025cites this paper
• Health Index Degradation Prediction of Induction Motor Using Deep Neural Network Algorithm

  2025cites this paper
• Envelope-Based Fault Detection and Identification in Three-Phase Motor Drive Systems

  2025cites this paper
• A Review of Artificial Intelligence Techniques in Fault Diagnosis of Electric Machines

  2025cites this paper
• Optimization of Practicality for Modeling- and Machine Learning-Based Framework for Early Fault Detection of Induction Motors

  2024cites this paper
• Fault Diagnosis Method for EMU Traction Motor Based on Machine Learning

  2024cites this paper
• Fault Detection of Induction Motors with Combined Modeling- and Machine-Learning-Based Framework

  2023cites this paper
• Online Fault Detection and Diagnosis in Three-Phase Induction Machines using the αβ-Vector Approach: A Practical Implementation

  2023cites this paper
• Design and Implementation of a Fuzzy Classifier for FDI Applied to Industrial Machinery

  2023cites this paper
• Design and Fault Diagnosis of Induction Motor Using ML-Based Algorithms for EV Application

  2023cites this paper
• Experimental Verification of Neural Network-Based Fault Types Classifier for Current Sensors in Induction Motor Drive

  2023cites this paper
• Fault classification of three phase induction motors using Bi-LSTM networks

  2023cites this paper
• Comparative Analysis of Artificial Intelligence Techniques used in Inverter Fault Diagnosis

  2022cites this paper
• Fault Diagnosis of Inter-turn Short Circuit in Permanent Magnet Synchronous Motors with Current Signal Imaging and Semi-Supervised Learning

  2022cites this paper
• Time-series imaging method for rotating machinery fault diagnosis using unsupervised sparse dictionary learning

  2022cites this paper
• Remaining Useful Life Estimation of Rotating Machines through Supervised Learning with Non-Linear Approaches

  2022cites this paper
• Neural Networks Detect Inter-Turn Short Circuit Faults Using Inverter Switching Statistics for a Closed-Loop Controlled Motor Drive

  2022cites this paper
• Fault Signature Identification for BLDC motor Drive System -A Statistical Signal Fusion Approach

  2022cites this paper
• A modified indirect vector control strategy for 3-phase wye-connected induction motor drives under open-phase fault

  2022cites this paper
• Open circuit Fault Diagnosis using Machine Learning Classifiers

  2022cites this paper
• A State-of-Art Approach on Fault Detection in Three Phase Induction Motor using AI Techniques

  2021cites this paper
• Electromagnetic Performance and Diagnosis of Induction Motors With Stator Interturn Fault

  2021cites this paper
• Machine Learning-Based Fault Detection and Diagnosis of Faulty Power Connections of Induction Machines

  2021cites this paper
• Research on rolling bearing fault diagnosis of small dataset based on a new optimal transfer learning network

  2021cites this paper
• Efficient Training of Multi-Layer Neural Networks to Achieve Faster Validation

  2021cites this paper
• Detecting industrial motor faults with current signatures

  2021cites this paper
• Data-Driven Fault Diagnosis for Electric Drives: A Review

  2021cites this paper
• A fault classification method using dynamic centered one-dimensional local angular binary pattern for a PMSM and drive system

  2021cites this paper
• Induction Motor Stator Fault Classification Using PCA-ANFIS Technique

  2020cites this paper
• Predictive Data Mining Techniques for Fault Diagnosis of Electric Equipment: A Review

  2020cites this paper
• Fault Diagnosis for Power Electronics Converters based on Deep Feedforward Network and Wavelet Compression

  2020cites this paper
• DETECTION AND CLASSIFICATION OF FAULTS IN INDUCTION MOTOR USING WAVELET AND FUZZY CONTROLLER

  2020cites this paper
• Induction Motor Condition Monitoring System Based on Machine Learning

  2020cites this paper
• Transferable and self-learning Online Monitoring System for electrical household appliances

  2020cites this paper
• Fault Diagnostics by Conceptors-Aided Clustering

  2020cites this paper
• A Fast Diagnosis Method for Both IGBT Faults and Current Sensor Faults in Grid-Tied Three-Phase Inverters With Two Current Sensors

  2020cites this paper
• Fault Diagnosis Method of Power Electronic Converter Based on Broad Learning

  2020cites this paper
• Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review

  2020cites this paper
• Inter-turn fault detection in PM synchronous motor by neuro-fuzzy technique

  2020cites this paper
• Model‐based unified technique for identifying severities of stator inter‐turn and rotor broken bar faults in SCIMs

  2020cites this paper
• Analytical Expressions of Isolation Indicators for Permanent-Magnet Synchronous Machines Under Stator Short-Circuit Faults

  2019cites this paper
• Detection and Localization of Open-Phase Fault in Three-Phase Induction Motor Drives Using Second Order Rotational Park Transformation

  2019cites this paper
• Detection of Interturn Short-Circuit Fault and Demagnetization Fault in IPMSM by 1-D Convolutional Neural Network

  2019cites this paper
• Machine Learning-Based Fault Diagnosis for Single- and Multi-Faults in Induction Motors Using Measured Stator Currents and Vibration Signals

  2019cites this paper
• A Review of the Monitoring and Damping Unbalanced Magnetic Pull in Induction Machines Due to Rotor Eccentricity

  2019cites this paper
• A Review of Data Mining Techniques for Failure Prediction in Continuous Casting

  2019cites this paper
• Sliding-Mode-Observer-Based Open-Switch Diagnostic Method for Permanent Magnet Synchronous Motor Drive Connected with LC Filter

  2019cites this paper
• Deep Self-Organizing Maps for Unsupervised Image Classification

  2019cites this paper
• Squirrel-Cage Induction Motor Malfunction Detection Using Computational Intelligence Methods

  2019cites this paper
• Dynamic resource allocation algorithm of virtual networks in edge computing networks

  2019cites this paper
• Auto-adaptive and Dynamical Clustering for Open-Circuit Fault Diagnosis of Power Inverters

  2019cites this paper
• An Analytical and Experimental Approach to Diagnose Unbalanced Voltage Supply

  2018cites this paper
• A Framework for Prognostics and Health Management Applications toward Smart Manufacturing Systems

  2018cites this paper
• Modelling and Diagnostic of Incipient Stator Inter-turn Short Circuit Fault in Induction Motors

  2018cites this paper
• Improved Detection of Inter-turn Short Circuit Faults in PMSM Drives using Principal Component Analysis

  2018cites this paper
• Employing neutral-voltage spectrum for internal turn-to-turn fault detection in the induction machine drives.

  2018cites this paper
• Condition Monitoring of Rotating Machines: A Review

  2018cites this paper
• Fast Transistor Open-Circuit Faults Diagnosis in Grid-Tied Three-Phase VSIs Based on Average Bridge Arm Pole-to-Pole Voltages and Error-Adaptive Thresholds

  2018cites this paper
• Laboratory Setup for Induction Motor Fault Detection Teaching

  2018cites this paper
• An efficient stator inter-Turn fault diagnosis tool for induction motors

  2018cites this paper
• Prognostics and health management for multi-component systems

  2018cites this paper
• Robust fault tolerant control of induction motor system

  2018cites this paper
• Fault detection and diagnosis method for three-phase induction motor

  2018cites this paper
• Condition monitoring of induction motors in the nuclear power station environment

  2018cites this paper
• A Framework for Prognostics and Health Management Applications toward Smart Manufacturing Systems

  2018cites this paper
• Model-based diagnosis and prognosis of induction motors under stator winding fault

  2018cites this paper
• Experimental Investigation of Machine Learning Based Fault Diagnosis for Induction Motors

  2018cites this paper
• Minor Fault Detection for Permanent Magnet Synchronous Motor Based on Fractional Order Model and Relative Rate of Change

  2018cites this paper
• Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges

  2018cites this paper
• Research on intelligent fault diagnosis of mechanical equipment based on sparse deep neural networks

  2017cites this paper
• A Novel Park’s Vector Approach for Investigation of Incipient Stator Fault Using MCSA in Three-Phase Induction Motors

  2017cites this paper
• An Analytical and Experimental Approach to Diagnose Unbalanced Voltage Supply

  2017cites this paper
• Artificial Intelligence for Small Satellites Mission Autonomy

  2017cites this paper
• Detection of short circuit faults in 3-phase converter-fed induction motors using kernel SOMs

  2017cites this paper
• Neural networks to increase the autonomy of interplanetary nanosatellite missions

  2017cites this paper
• Rolling bearing fault diagnose based on stacked sparse auto encoder

  2017cites this paper
• Voltage Vector Error Fault Diagnosis for Open-Circuit Faults of Three-Phase Four-Wire Active Power Filters

  2017cites this paper
• A review and comparison of fault detection and diagnosis methods for squirrel-cage induction motors: State of the art.

  2017cites this paper
• Minor fault diagnosis based on fractional-order model of permanent magnet synchronous motor

  2017cites this paper
• Wavelet-based information filtering for fault diagnosis of electric drive systems in electric ships.

  2017cites this paper
• A Method for Incipient Interturn Fault Detection and Severity Estimation of Induction Motors Under Inherent Asymmetry and Voltage Imbalance

  2017cites this paper
• Condition monitoring and fault detection of inverter-fed rotating machinery

  2017cites this paper
• Interturn Fault Diagnosis in Interior Permanent Magnet Synchronous Motors Using Negative-Sequence Impedance

  2017cites this paper
• Online technique for insulation assessment of induction motor stator windings under different load conditions

  2017influential citation
• An Early Stage Interturn Fault Diagnosis of PMSMs by Using Negative-Sequence Components

  2017cites this paper
• Stator winding short-circuit fault diagnosis in induction motors using random forest

  2017cites this paper
• Induction machine bearing fault diagnosis based on the axial vibration analytic signal

  2016cites this paper
• On the identifiability, parameter identification and fault diagnosis of induction machines

  2016cites this paper
• The Impact of Thermal Degradation on Properties of Electrical Machine Winding Insulation Material

  2016cites this paper
• Condition monitoring of induction motors: — A review

  2016cites this paper
• Classification and sensitivity analysis to detect fault in induction motors using an MLP network

  2016cites this paper
• Induction motor broken bar fault detection based on MCSA, MSCSA and PCA: A comparative study

  2016cites this paper
• A SURVEY ON PROGRESS AND DEVELOPMENT OF INDUCTION MOTORS' INCIPIENT FAULT DETECTION TECHNIQUES DURING LAST THREE DECADES

  2016cites this paper
• A Combined Fault-Tolerant and Predictive Control for Network-Based Industrial Processes

  2016cites this paper
• KIRIK ROTOR ÇUBUĞU VE STATOR ARIZALARININ TEŞHİSİNDE YAPAY SİNİR AĞI YAKLAŞIMI / THE NEURAL NETWORK APPROACH IN DIAGNOSIS OF BROKEN ROTOR BAR AND STATOR FAULTS

  2016cites this paper
• A Real-Time Multiple Open-Circuit Fault Diagnosis Method in Voltage-Source-Inverter Fed Vector Controlled Drives

  2016cites this paper
• Neural networks for event detection: an interplanetary cubesat asteroid mission case study

  2016cites this paper
• Modularized fault diagnosis model of induction motor based on radial basis function neural network

  2015cites this paper