<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Infrared thermography can measure the temperature of a surface remotely. In this article authors present a diagnostic method of incipient fault detection. The proposed approach is based on pattern recognition. It uses monochrome thermal images of the rotor with the application of an area perimeter vector and a Bayes classifier. The investigations have been carried out for direct current motor without faults and motor with shorted rotor coils. The measurements were performed in the laboratory. The efficiency of recognition using the area perimeter vector and the Bayes classifier was 100 %. The investigations show that the method based on recognition of thermal images can be profitable for engineers. The proposed method can be applied in mining, metallurgy, fuel industry and in factories where electrical motors are used.</p></abstract>

Infrared thermography can measure the temperature of a surface remotely. In this article authors present a diagnostic method of incipient fault detection. The proposed approach is based on pattern recognition. It uses monochrome thermal images of the rotor with the application of an area perimeter vector and a Bayes classifier. The investigations have been carried out for direct current motor without faults and motor with shorted rotor coils. The measurements were performed in the laboratory. The efficiency of recognition using the area perimeter vector and the Bayes classifier was 100 %. The investigations show that the method based on recognition of thermal images can be profitable for engineers. The proposed method can be applied in mining, metallurgy, fuel industry and in factories where electrical motors are used.

Recognition of Thermal Images of Direct Current Motor with Application of Area Perimeter Vector and Bayes Classifier

AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering

Department of Automatics and Biomedical Engineering

Department of Power Electronics and Energy Control Systems, Al. A. Mickiewicza 30, 30-059 Kraków, Poland

Faculty of Computer Science, Electronics and Telecommunications, Department of Telecommunications, Al. A. Mickiewicza 30, 30-059 Krakow, Poland

Measurement Science Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Infrared thermography can measure the temperature of a surface remotely. In this article authors present a diagnostic method of incipient fault detection. The...

Recognition of Thermal Images of Direct Current Motor with Application of Area Perimeter Vector and Bayes Classifier

Online veröffentlicht: 10. Juli 2015

Seitenbereich: 119 - 126

Eingereicht: 04. Dez. 2014

Akzeptiert: 23. Juni 2015

DOI: https://doi.org/10.1515/msr-2015-0018

Schlüsselwörter
Thermal image, fault detection, identification methods, pattern recognition

© Adam Glowacz et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Recognition of Thermal Images of Direct Current Motor with Application of Area Perimeter Vector and Bayes Classifier

Online veröffentlicht: 10. Juli 2015

Seitenbereich: 119 - 126

Eingereicht: 04. Dez. 2014

Akzeptiert: 23. Juni 2015

DOI: https://doi.org/10.1515/msr-2015-0018

SchlüsselwörterThermal image, fault detection, identification methods, pattern recognition

© Adam Glowacz et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Thermal image, fault detection, identification methods, pattern recognition