Automatic Online Diagnosis Algorithm for Broken-Bar Detection on Induction Motors Based on Discrete Wavelet Transform for FPGA Implementation
Ordaz-Moreno, A.
de Jesus Romero-Troncoso, R.
Vite-Frias, J.A.
Rivera-Gillen, J.R.
Garcia-Perez, A.
Power Electron. Group, Univ. of Seville, Seville;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: May 2008
Volume: 55,
Issue: 5
On page(s): 2193-2202
ISSN: 0278-0046
INSPEC Accession Number: 9960761
Digital Object Identifier: 10.1109/TIE.2008.918613
Current Version Published: 2008-04-30
Abstract
Overall system performance on a production line is one of the major concerns in modern industry where induction motors are present and their condition monitoring is mandatory. Periodic offline monitoring of the motor condition is usually performed in the industry, consuming production time and increasing cost. Broken rotor bars are among the most common failures in induction motors. Reported research projects give a broken-rotor-bar-detection methodology based on personal-computer implementation that is performed offline and requires an expert technician interpretation which is not a cost-effective solution. The novelty of this paper is the development of an automatic online diagnosis algorithm for broken-rotor-bar detection, optimized for single low-cost field-programmable gate-array (FPGA) implementation, which guarantees the development of economical self-operated equipment. The proposed algorithm requires less computation load than the previously reported algorithms, and it is mainly based on the discrete-wavelet-transform application to the start-up current transient; a further single mean-square computation determines a weighting function that, according to its value, clearly points the motor condition as either healthy or damaged. In order to validate the proposed algorithm, several tests were performed, and an FPGA implementation was developed to show the algorithm feasibility for automatic online diagnosis.
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
