Title :
An expert system for vibration fault diagnosis of large steam turbine generator set
Author :
Yang, Ning ; Zhang, Shaocheng ; Xu, Yaoliang ; Zhao, Wanjian ; Zhu, Yi
Author_Institution :
Fac. of Electr. & Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai, China
Abstract :
The paper studied and constructed an expert system for vibration fault diagnosis in large steam turbine generator set, and briefly described the structure and function of various components of the expert system, detailed described the knowledge database and inference machine. In this expert system, the knowledge database built on production rule, and the inference machine based on confidence. Finally, the expert system is verified through the experiments of collision between movable and stationary parts and gas exciting. The experiment results prove that the expert system has good performances.
Keywords :
diagnostic expert systems; fault diagnosis; inference mechanisms; power engineering computing; power generation faults; steam turbines; turbogenerators; vibrations; expert system; gas excitation; inference machine; knowledge database; large steam turbine generator set; movable parts; part collision; stationary parts; vibration fault diagnosis; Databases; Expert systems; Fault diagnosis; Generators; Rotors; Turbines; Vibrations; credibility theory; expert system; hybrid reasoning; steam turbine generator set; vibration fault diagnosis;
Conference_Titel :
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-839-6
DOI :
10.1109/ICCRD.2011.5764118
