Induction motor rotor bars faults diagnosis based on multiple features extraction and selection with self-organising map neural network
نویسندگان
چکیده
منابع مشابه
Developing A Fault Diagnosis Approach Based On Artificial Neural Network And Self Organization Map For Occurred ADSL Faults
Telecommunication companies have received a great deal of research attention, which have many advantages such as low cost, higher qualification, simple installation and maintenance, and high reliability. However, the using of technical maintenance approaches in Telecommunication companies could improve system reliability and users' satisfaction from Asymmetric digital subscriber line (ADSL) ser...
متن کاملThe Detection of Broken Rotor Bars in Squirrel Cage Induction Motors Based on Neural Network Approach
The detection of broken rotor bars in three-phase squirrel cage induction motors by means of current signature analysis is presented. In order to diagnose faults, a Neural Network approach is used. At first the data of different rotor faults are achieved. The effects of different rotor faults on current spectrum, in comparison with other fault conditions, are investigated via calculating Power ...
متن کاملWavelet Neural Network-Based Diagnosis and Protection of Inverter Faults in Induction Motor Drives
In this paper, a wavelet neural network (WNN) based diagnostic algorithm is developed and implemented in real-time for the identification and detection of inverter faults in the vector controlled induction motor drives. The phase currents of an induction motor (IM) drive of different faulted and unfaulted conditions are preprocessed by the wavelet packet transform (WPT) algorithm in order to mi...
متن کاملDirect Self Control of Induction Motor Based on Neural Network
This paper presents an artificial-neural-network-based direct-self-control (ANN–DSC) scheme for an inverter-fed three-phase induction motor. In order to cope with the complex calculations required in direct self control (DSC), the proposed artificial-neural-network (ANN) system employs the individual training strategy with fixed-weight and supervised models. A computer simulation program is dev...
متن کاملClustering of the Self-Organizing Map based Approach in Induction Machine Rotor Faults Diagnostics
Self-Organizing Maps (SOM) is an excellent method of analyzing multidimensional data. The SOM based classification is attractive, due to its unsupervised learning and topology preserving properties. In this paper, the performance of the self-organizing methods is investigated in induction motor rotor fault detection and severity evaluation. The SOM is based on motor current signature analysis (...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Digital Signals and Smart Systems
سال: 2021
ISSN: 2398-0311,2398-032X
DOI: 10.1504/ijdsss.2021.10034970