Recognition of Monochrome Thermal Images of Synchronous Motor with the Application of Binarization and Nearest Mean Classifier

Archives of Metallurgy and Materials

P. Korohoda¹  A. Glowacz² 

[1] AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY, FACULTY OF COMPUTER SCIENCE, ELECTRONICS AND TELECOMMUNICATIONS, DEPARTMENT OF ELECTRONICS, AL. MICKIEWICZA 30, 30-059 KRAKÓW, POLAND;AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY, FACULTY OF COMPUTER SCIENCE, ELECTRONICS AND TELECOMMUNICATIONS, DEPARTMENT OF TELECOMMUNICATIONS, AL. MICKIEWICZA 30, 30-059 KRAKÓW, POLAND;AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY, FACULTY OF ELECTRICAL ENGINEERING, AUTOMATICS, COMPUTER SCIENCE AND BIOMEDICAL ENGINEERING, DEPARTMENT OF AUTOMATICS AND BIOMEDICAL ENGINEERING, AL. MICKIEWICZA 30, 30-059 KRAKÓW, POLAND

关键词: Keywords: Diagnostics;    Recognition;    Thermal images;    Synchronous motor;    nearest mean classifier;   

DOI  :  10.2478/amm-2014-0005

学科分类：金属与冶金

来源: Akademia Gorniczo-Hutnicza im. Stanislawa Staszica / University of Mining and Metallurgy

【 摘 要 】

This article discusses the recognition method of imminent failure conditions of synchronous motor. The proposed approach is based on a study of thermal images of the motor. Studies were carried out for four conditions of motor with the application of binarization and nearest mean classifier with Manhattan distance. Pattern creation process used 40 monochrome thermal images. Identification process was carried out for 160 monochrome thermal images. The experiments show that the method can be useful for protection of synchronous motor. Moreover, this method can be used to diagnose equipments in steelworks and other industrial plants.

【 授权许可】

Unknown