Development of fault diagnosis system based on Multilevel Flow Models for complex distributed system

Author

Zhao, Yun ; Yang, Yubing ; Wang, Bin ; Ma, Jingming ; Wu, Shaohua

Author_Institution

Fac. of Mech. & Electr. Eng., Jiaxing Univ., Jiaxing, China

Volume

2

fYear

2011

fDate

25-28 July 2011

Firstpage

961

Lastpage

964

Abstract

MFM (Multilevel Flow Models) is applied to build up a system for monitoring and fault location diagnosis of distributed facilities in power plant. In this system, all data acquisition unit composed of PLCs are linked together as a network through CAN bus to realize early root fault searching by applying MFM fault diagnosis algorithm. A PC connected to network is responsible for system modeling and model loading to PLCs. An initial system hardware has been set up in laboratory and a software for fault diagnosis of power plant is developed by using C++ Builder to realize the intelligent network monitoring and real-time fault diagnosis.

Keywords

C++ language; controller area networks; facilities planning; fault location; power plants; production engineering computing; programmable controllers; thermal power stations; C++ builder; CAN bus; MFM fault diagnosis algorithm; PLC; complex distributed system; distributed power plant facility; initial system hardware; intelligent network monitoring; model loading; multilevel flow model; real time fault diagnosis; system modeling; Biological system modeling; Data acquisition; Fault diagnosis; Monitoring; Power generation; Production; Real time systems; CAN-bus; Multilevel flow models; PLCs; fault diagnosis;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4577-0813-8

Type

conf

DOI

10.1109/ICICIP.2011.6008393

Filename

6008393