Title :
On Diagnosis Prototype System for Motor Faults Based on Immune Model
Author_Institution :
Comput. & Software Coll., Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
In the fault diagnosis of motor, the early detection of incipient faults of components plays an important role. To support the detection of incipient and unknown faults, an immunology based Fault diagnosis prototype system was proposed. The immune system for fault diagnosis is comprised of innate immune layer and adaptive immune layer. In the system, innate immune layer directs recognition of known fault; Adaptive immune layer learns the incipient and unknown fault pattern. The simulation shows that a satisfying result can be acquired by using the layer computation model.
Keywords :
fault diagnosis; induction motors; particle swarm optimisation; adaptive immune layer; fault detection; fault diagnosis; motor; Adaptive systems; Artificial intelligence; Fault detection; Fault diagnosis; Immune system; Induction motors; Organisms; Protection; Prototypes; Torque; Artificial immune system; Motor fault diagnosis; Particle swarm optimization;
Conference_Titel :
Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3705-4
DOI :
10.1109/BIFE.2009.38