Title :
Implementation of motor electromagnetic noise detection by mutual induction
Author_Institution :
Coll. of Appl. Sci. & Technol., Beijing Union Univ., Beijing, China
Abstract :
A method of motor electromagnetic noise detection on the working state is put forward based on a mutual inductance. The motor current/voltage change and electromagnetic noise information can be detected by the method. The new method of motor electromagnetic noise detection is verified a feasibility and effectiveness through an actual test. A motor dynamic system diagnosis model can be established combining of the measured motor speed, its temperature, the current/voltage change and noise information with multi-source information fusion, and electrical status online intelligent fault detection and diagnosis achieved.
Keywords :
electric motors; electromagnetic interference; fault diagnosis; sensor fusion; temperature measurement; velocity measurement; electrical status online intelligent fault detection; electromagnetic noise information; fault diagnosis; motor current change; motor dynamic system diagnosis model; motor electromagnetic noise detection; motor speed measurement; motor voltage change; multisource information fusion; mutual induction; temperature measurement; Electromagnetic interference; Fault diagnosis; Inductance; Induction motors; Integrated circuit modeling; Noise; Temperature measurement; Motor Electromagnetic Noise; Mutual Induction Method; On-Line Detection;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555807
