Title :
Prognostics in motor rotor malfunction using extension theory
Author :
Chao, Kuei-Hsiang
Author_Institution :
Dept. of Electr. Eng., Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan
Abstract :
This paper presents a method using motor vibration signal spectrums and applying the extension method for discriminating different types of motor rotor malfunctions. Firstly, this paper establishes an extension model for motor rotor malfunction types and spectrum characteristics based on the test data of motor rotor malfunctions, employing it as a basis for extension theory and using extension engineering methods to perform malfunction analysis. Finally, some simulations and experimental results are used to test the feasibility of the presented motor rotor malfunction diagnosis method.
Keywords :
fault diagnosis; fuzzy set theory; machine testing; rotors; vibrations; extension theory; matter-element theory; motor rotor malfunction diagnosis; motor vibration signal spectrum; Chaos; Data engineering; Neural networks; Paper technology; Personnel; Production equipment; Rotors; Signal analysis; Testing; Vibration measurement; extension theory; malfunction diagnosis method; motor rotor malfunction; motor vibration signal spectrums;
Conference_Titel :
Power Electronics and Drive Systems, 2009. PEDS 2009. International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-4166-2
Electronic_ISBN :
978-1-4244-4167-9
DOI :
10.1109/PEDS.2009.5385873