Affiliation:
1. Южно-Российский государственный политехнический университет (НПИ) имени М.И. Платова
2. Platov South-Russian State Polytechnic University
Abstract
The main elements of the process equipment are DC and AC motors that largely determine its reliability and efficiency of operation. The constant monitoring of technical condition by methods of technical diagnostics allows a significant extension of equipment life and reduces financial costs. To implement this approach, specialized methods are required. They allow to determine the technical condition of DC and AC motors with a high degree of reliability, distinguishing their faulty state from changing the operating mode. Diagnostics should be performed in the mode of equipment operation; therefore, the use of complex measuring devices is not permissible. This article presents the results of search studies of diagnosis method that meets the above-mentioned requirements. Current, voltage and vibration are selected as diagnostic parameters. It is proposed to analyze them by the wavelet transform. As a result of numerous experiments, the relationship between changes in the wavelet transform coefficients on characteristic scales has been established. This allows to determine the technical condition of the electric motor and the mode of its load, on the basis of which a diagnostic method has been developed using neural networks.
Publisher
BSTU named after V.G. Shukhov
Subject
Psychiatry and Mental health,Neuropsychology and Physiological Psychology
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