Title :
The Study of Elevator Fault Diagnosis Based on Multi-Agent System
Author :
Zhang Guangming ; Huang Shuixia ; Yuan Yuhao
Author_Institution :
Dept. of Autom. & Electr. Eng., Nanjing Univ. of Technol., Nanjing, China
Abstract :
Elevator is a kind of special complex mechanical and electrical equipment, its faults are complex and dispersed. It is unable to satisfy the requirements that fast and generality of fault diagnosis only rely on a single failure matching mode. Focusing on this problem, in this paper, the intelligent agent technology is applied in fault diagnosis system based on the traditional fault diagnosis method. The thesis made elevator door system (EDS) the target of comparative research. Firstly, the MAS (multi-agent system) elevator door system fault diagnosis system based on BDI agent is constructed. Then this paper expatiate the framework and diagnosis process of the MAS model. Finally analyzes the methods and process of the EDS fault diagnosis based on MAS.
Keywords :
failure (mechanical); lifts; mechanical engineering computing; multi-agent systems; BDI agent; electrical equipment; elevator door system fault diagnosis system; failure matching mode; intelligent agent technology; mechanical equipment; multiagent system; Application software; Artificial intelligence; Automation; Elevators; Fault diagnosis; Feedback; Intelligent agent; Multiagent systems; Problem-solving; Robot sensing systems;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5363218