共 3 条
- [1] Diagnostics of Direct Current motor with application of acoustic signals, reflection coefficients and K-Nearest Neighbor classifierPRZEGLAD ELEKTROTECHNICZNY, 2012, 88 (5A): : 231 - 233Glowacz, AdamGlowacz, Witold
Diagnostics of Direct Current generator based on analysis of monochrome infrared images with the application of cross-sectional image and nearest neighbor classifier with Euclidean distance
被引：0
|作者：
Glowacz, Adam
[1
]
Glowacz, Andrzej
[2
]
Glowacz, Zygfryd
[3
]
机构：
[1] AGH Akad Gorniczo Hutnicza, Wydzial Elektrotech Automatyki Informatyki & Elek, Katedra Automatyki, PL-30059 Krakow, Poland
[2] AGH Akad Gorniczo Hutnicza, Wydzial Elektrotech Automatyki Informatyki & Elek, Katedra Telekomunikacji, PL-30059 Krakow, Poland
[3] AGH Akad Gorniczo Hutnicza, Wydzial Elektrotech Automatyki Informatyki & Elek, Katedra Maszyn Elekt, PL-30059 Krakow, Poland
来源：
关键词：
Diagnostics;
Recognition;
Infrared images;
Direct Current generator;
Nearest neighbor classifier;
TRIBOLOGICAL PROPERTIES;
MECHANICAL-PROPERTIES;
STEEL;
RECOGNITION;
DESIGN;
FAULTS;
SPEED;
MOTOR;
D O I：
暂无
中图分类号：
TM [电工技术];
TN [电子技术、通信技术];
学科分类号：
0808 ;
0809 ;
摘要：
Paper presents method of the diagnostics of imminent failure conditions of Direct Current generator. This method is based on a study of infrared images of the generator. Studies were carried out for two conditions of machine with the application of cross-sectional image and nearest neighbor classifier with Euclidean distance. Pattern creation process used 10 monochrome infrared images. Identification process was carried out for 100 monochrome infrared images. The experiments show that the method can be useful for protection of Direct Current generators and engines. (Diagnostics of Direct Current generator based on analysis of monochrome infrared images with the application of cross-sectional image and nearest neighbor classifier with Euclidean distance)
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页码：154 / 157
页数：4
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