Open Access
Real‐time condition monitoring on VSD‐fed induction motors through statistical analysis and synchronous speed observation
Author(s) -
CabalYepez Eduardo,
FernandezJaramillo Arturo A.,
GarciaPerez Arturo,
RomeroTroncoso Rene J.,
LozanoGarcia Jose M.
Publication year - 2015
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.1938
Subject(s) - induction motor , harmonics , fault detection and isolation , engineering , computer science , artificial neural network , condition monitoring , control engineering , entropy (arrow of time) , voltage , artificial intelligence , electrical engineering , physics , quantum mechanics , actuator
Summary Induction motors are key elements of every industrial process. A faulty motor produces interruptions on production lines, with consequences in cost, product quality, and safety. The relevance in induction motor monitoring is the ability to detect faults in incipient state. Many proposed methods consider direct connection of motors to the power supply; however, the common practice in industry is to connect them through variable speed drives (VSD), which introduce harmonics into the current supply signal that make the fault identification extremely difficult. This work proposes a statistical analysis through mean, variance, and information entropy computation, combined with sensorless rotating speed estimation for classifying different faults in induction motors using an artificial neural network. The proposed methodology examines the voltage and current signals provided by an industrial VSD that ensures a high certainty on identifying the treated faults at different rotational speed. A field programmable gate array‐based implementation is developed to offer an online, system‐on‐chip solution for real‐time condition monitoring. © 2014 The Authors. International Transactions on Electrical Energy Systems published by John Wiley & Sons Ltd.