A sparse auto-encoder-based deep neural network approach for induction motor faults classification
This paper presents a deep neural network (DNN) approach for induction motor fault
diagnosis. The approach utilizes sparse auto-encoder (SAE) to learn features, which …
diagnosis. The approach utilizes sparse auto-encoder (SAE) to learn features, which …
Review on machine learning algorithm based fault detection in induction motors
Fault detection prior to their occurrence or complete shut-down in induction motor is
essential for the industries. The fault detection based on condition monitoring techniques …
essential for the industries. The fault detection based on condition monitoring techniques …
Convolutional discriminative feature learning for induction motor fault diagnosis
A convolutional discriminative feature learning method is presented for induction motor fault
diagnosis. The approach firstly utilizes back-propagation (BP)-based neural network to learn …
diagnosis. The approach firstly utilizes back-propagation (BP)-based neural network to learn …
A survey on time and frequency characteristics of induction motors with broken rotor bars in line-start and inverter-fed modes
This paper deals with the comprehensive detailed concepts of the rotor broken bars fault in
industrial induction motors. It reviews the most important and applicable techniques for fault …
industrial induction motors. It reviews the most important and applicable techniques for fault …
Empirical mode decomposition analysis for broken-bar detection on squirrel cage induction motors
R Valles-Novo… - IEEE Transactions …, 2014 - ieeexplore.ieee.org
Induction motor is a ubiquitous machine. In industrial settings, online monitoring of motors'
health status in order to schedule maintenance operations with the goal of damage …
health status in order to schedule maintenance operations with the goal of damage …
[HTML][HTML] Electrical & mechanical diagnostic indicators of wind turbine induction generator rotor faults
In MW-sized wind turbines, the most widely-used generator is the wound rotor induction
machine, with a partially-rated voltage source converter connected to the rotor. This …
machine, with a partially-rated voltage source converter connected to the rotor. This …
The use of the wavelet approximation signal as a tool for the diagnosis of rotor bar failures
M Riera-Guasp, JA Antonino-Daviu… - IEEE Transactions …, 2008 - ieeexplore.ieee.org
The aim of this paper is to present a new approach for rotor bar failure diagnosis in induction
machines. The method focuses on the study of an approximation signal resulting from the …
machines. The method focuses on the study of an approximation signal resulting from the …
ANN-based pattern recognition for induction motor broken rotor bar monitoring under supply frequency regulation
The requisite of direct-on-line (DOL) starting for various applications in underground mines
subjects the rotor bars of heavy-duty squirrel cage induction motors (SCIMs) to severe …
subjects the rotor bars of heavy-duty squirrel cage induction motors (SCIMs) to severe …
Vibration monitoring of PM synchronous machine with partial demagnetization and inter-turn short circuit faults
Monitoring permanent magnet synchronous machine (PMSM) faults including partial
demagnetization, inter-turn short circuit is necessary for safety and reliable operation. This …
demagnetization, inter-turn short circuit is necessary for safety and reliable operation. This …
Current envelope analysis for defect identification and diagnosis in induction motors
Increasing demand in reliable manufacturing systems has been accelerating research in
condition monitoring and defect diagnosis of vital machine components. This paper …
condition monitoring and defect diagnosis of vital machine components. This paper …