期刊论文详细信息
Archives of Metallurgy and Materials | |
Automatic Recognition of Armature Current of Dc Motor with Application of FFT and GSDM | |
Z. Głowacz1  | |
[1] Departament of Electrical Machines, Faculty of Electrical Engineering, Automatics, Computer Science and Electronics, Agh University of Science and Technology, 30-059 Kraków, 30 Mickiewicza Av., Poland; | |
关键词: Keywords: Diagnostics; Recognition; Classifier; Armature current; DC motor; | |
DOI : 10.2478/v10172-011-0003-2 | |
学科分类:金属与冶金 | |
来源: Akademia Gorniczo-Hutnicza im. Stanislawa Staszica / University of Mining and Metallurgy | |
![]() |
【 摘 要 】
Paper presents the concept of investigations of signals of armature current of DC motor. Algorithms of signal processing and analysis have been used. System is based on the FFT algorithm and GSDM (Genetic Sparse Distributed Memory). Software of armature current recognition of DC motor was implemented. Studies were carried out for imminent failure conditions of DC motor. The results confirm that the system is useful in diagnostics of electrical motors. System can be used in inspection of metallurgical equipments.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO201902182963884ZK.pdf | 1147KB | ![]() |