Citation Impact
Citing Papers
Eccentricity Failure Detection of Brushless DC Motors From Sound Signals Based on Density of Maxima
2019
A Model Reduction Perspective on Thermal Models for Induction Machine Overload Relays
2008
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier
2018
Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications
2013 Standout
Evolution and Modern Approaches for Thermal Analysis of Electrical Machines
2009 Standout
Battery and battery management for hybrid electric vehicles: a review
2006
A Critical Review of Thermal Issues in Lithium-Ion Batteries
2011 Standout
A review on machinery diagnostics and prognostics implementing condition-based maintenance
2005 Standout
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
2016 Standout
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
2016
Deep learning for smart manufacturing: Methods and applications
2018 Standout
Analysis Techniques for Detection of IM Broken Rotor Bars After Supply Disconnection
2004
Coupling Pattern Recognition With State Estimation Using Kalman Filter for Fault Diagnosis
2011
Condition monitoring techniques for electrical equipment-a literature survey
2003
A sound based method for fault detection with statistical feature extraction in UAV motors
2021 Standout
On-Line Monitoring of Mechanical Faults in Variable-Speed Induction Motor Drives Using the Wigner Distribution
2008
Deep Residual Shrinkage Networks for Fault Diagnosis
2019 Standout
Diagnosis of the three-phase induction motor using thermal imaging
2016 Standout
A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
2017 Standout
Smart Transmission Grid: Vision and Framework
2010 Standout
Diagnosis of Rotor Faults in Closed-Loop Induction Motor Drives
2006
1D convolutional neural networks and applications: A survey
2022 Standout
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
2020 Standout
Speed and Load Torque Observer Application in High-Speed Train Electric Drive
2009 Standout
A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part I: Components and Subsystems
2015 Standout
A Review on Basic Data-Driven Approaches for Industrial Process Monitoring
2014 Standout
Rotor fault condition monitoring techniques for squirrel-cage induction machine—A review
2011
Fault detection in induction motors and the impact on the kinematic chain through thermographic analysis
2014
An overview of time-based and condition-based maintenance in industrial application
2012 Standout
Trends in Fault Diagnosis for Electrical Machines: A Review of Diagnostic Techniques
2014
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
2017 Standout
Deep learning and its applications to machine health monitoring
2018 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Thermal Model and Behavior of a Totally-Enclosed-Water-Cooled Squirrel-Cage Induction Machine for Traction Applications
2008
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains
2019 Standout
Detection and Isolation of Speed-, DC-Link Voltage-, and Current-Sensor Faults Based on an Adaptive Observer in Induction-Motor Drives
2010
3D temperature field analysis of the induction motors with broken bar fault
2014
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Asynchronous Machine Rotor Fault Diagnosis Technique Using Complex Wavelets
2008
Industrial Applications of the Kalman Filter: A Review
2013 Standout
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
Online Rotor Mixed Fault Diagnosis Way Based on Spectrum Analysis of Instantaneous Power in Squirrel Cage Induction Motors
2004
Advances in Diagnostic Techniques for Induction Machines
2008 Standout
Works of C. Kral being referenced
Sequences of field-oriented control for the detection of faulty rotor bars in induction machines-the Vienna Monitoring Method
2000
Rotor Temperature Estimation of Squirrel-Cage Induction Motors by Means of a Combined Scheme of Parameter Estimation and a Thermal Equivalent Model
2004
Robust Rotor Fault Detection by Means of the Vienna Monitoring Method and a Parameter Tracking Technique
2008
Comparison of a CFD Analysis and a Thermal Equivalent Circuit Model of a TEFC Induction Machine With Measurements
2009
Detection of Mechanical Imbalances of Induction Machines Without Spectral Analysis of Time-Domain Signals
2004
Detection of rotor faults in squirrel-cage induction machines at standstill for batch tests by means of the Vienna monitoring method
2002
Simulation of Conventional and Hybrid Vehicle Including Auxiliaries with Respect to Fuel Consumption and Exhaust Emissions
2006
Model-Based Detection of Rotor Faults Without Rotor Position Sensor—The Sensorless Vienna Monitoring Method
2005
On-line rotor cage monitoring of inverter-fed induction machines by means of an improved method
1999