Title :
Fault model based on H-C model in the system of traction power supply
Author :
Huang Yuan-liang
Author_Institution :
Electr. Automatization Inst., Jinan Univ., Zhuhai, China
Abstract :
There exist bigger error of fault model and few examining data in traction power supply system. A novel way to model fault for few data is advanced, its parameter is estimated by maximum likelihood criterion and the model is optimized via least square law. The model solves effectively the problem that modeling few data in traction power supply system relies big swatch theory, and the model of fault data of the contact net in railway is built. By fitting result, it is proved that the precision of fitting data is bigger improved.
Keywords :
fault diagnosis; least squares approximations; maximum likelihood estimation; railway electrification; traction power supplies; H-C model; big swatch theory; contact net; fault data model; least square law; maximum likelihood estimation criterion; railway; traction power supply system; Fault diagnosis; H-C model; data fitting; least square method;
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8727-1
DOI :
10.1109/CSAE.2011.5952882