An object-oriented expert system for coal-fired MHD power plant fault monitoring and diagnosis

Author(s):  
Eddie S. Washington ◽  
Moonis Ali
2011 ◽  
Vol 121-126 ◽  
pp. 4481-4485
Author(s):  
Ai Yu Zhang ◽  
Xiao Guang Zhao ◽  
Lei Zhang

Due to the limited generality of traditional fault diagnosis expert system and its low accuracy of extracting failure symptoms, a general fault monitoring and diagnosis expert system has been built. For different devices, users can build fault trees in an interactive way and then the fault trees will be saved as expert knowledge. A variety of sensors are fixed to monitor the real-time condition of the device and intelligent algorithms such as wavelet transform and neural network are used to assist the extraction of failure symptoms. On the basis of integration of multi-sensor failure symptoms, the fault diagnosis is realized through forward and backward reasoning. The simulation diagnosis experiments of NC device have shown the effectiveness of the proposed method.


1986 ◽  
Author(s):  
M. Ali ◽  
D. .. Scharnhorst ◽  
C. S. Ai ◽  
H. J. Ferber

Author(s):  
S. Akagi ◽  
L. Fujita ◽  
H. Kubonishi

Abstract An expert CAD system for power plant design is developed with expert system for design built by the authors. The design of power plants is characterized by selecting the candidates for the various machineries and equipments which compose the plants based on the expertise. In the system, design knowledge is described in the form of an object-oriented knowledge representation which can support design process flexibly, and in a user-friendly way. The system also provides the hybrid functions with numerical computations and graphics, as well as AI techniques. Its effectiveness as a design tool is ascertained through the applications to a marine power plant.


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