Title :
Fault diagnosis of the ELVE Intelligent Electrical Control System
Author :
Zhongnian, Li ; Jiaqi, Zhou ; Chao, He
Author_Institution :
Wuhan Univ. of Technol., Wuhan
Abstract :
AHDI (automotive high-energy dry ignition-coil) discussed in this paper is a new type production of modern automotive electrical equipment. The process of epoxy-resin liquid vacuum encapsulation is the important link of AHDI´s manufacturing and shaping. Therefore, fault diagnosis setting based on BP-NN (back propagation-neural networks) is used in the intelligent pouring electrical control system in order to ensure processing quality. Strict real-time monitoring and control is carried on through the whole pouring process to ensure the pouring process operating in the faultless condition and so make sure the quality of the AHDI products reliably.
Keywords :
automotive components; backpropagation; encapsulation; fault diagnosis; intelligent control; neural nets; production engineering computing; quality control; reliability; ELVE; automotive electrical equipment; automotive high-energy dry ignition-coil; back propagation-neural networks; epoxy-resin liquid vacuum encapsulation; fault diagnosis; intelligent electrical control system; pouring process; processing quality; Automotive engineering; Control systems; Encapsulation; Fault diagnosis; Intelligent control; Intelligent manufacturing systems; Intelligent networks; Intelligent systems; Manufacturing processes; Production; AHDI; BP-NN; electrical control; fault diagnosis; pour;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4351000
