Architecture for a neural expert system for condition-based maintenance of blanking

2008 ◽  
Vol 32 (4) ◽  
pp. 447 ◽  
Author(s):  
Thomas W. De Boer ◽  
Warse Klingenberg
2014 ◽  
Vol 988 ◽  
pp. 710-714
Author(s):  
Yao Jun Liu ◽  
Shi Zhong Ji ◽  
Hua Pu Chen

At the moment preventive maintenance is the main approach in maintaining power transmitting lines. While along with the improvement of equipment and management, the drawbacks of preventive maintenance appear more and more prominent. In the file the function and the structure of the system of status maintenance for power transmitting lines based on expert system is presented.


2021 ◽  
Vol 186 ◽  
pp. 115767
Author(s):  
Alexandre Sarazin ◽  
Jérémy Bascans ◽  
Jean-Baptiste Sciau ◽  
Jiefu Song ◽  
Bruno Supiot ◽  
...  

1993 ◽  
Vol 2 (4) ◽  
pp. 223 ◽  
Author(s):  
Wang Chengen ◽  
Zhu Jianying ◽  
Wei Zhongxin
Keyword(s):  

1987 ◽  
Vol 26 (01) ◽  
pp. 13-23 ◽  
Author(s):  
H. W. Gottinger

AbstractThe purpose of this paper is to report on an expert system in design that screens for potential hazards from environmental chemicals on the basis of structure-activity relationships in the study of chemical carcinogenesis, particularly with respect to analyzing the current state of known structural information about chemical carcinogens and predicting the possible carcinogenicity of untested chemicals. The structure-activity tree serves as an index of known chemical structure features associated with carcinogenic activity. The basic units of the tree are the principal recognized classes of chemical carcinogens that are subdivided into subclasses known as nodes according to specific structural features that may reflect differences in carcinogenic potential among chemicals in the class. An analysis of a computerized data base of known carcinogens (knowledge base) is proposed using the structure-activity tree in order to test the validity of the tree as a classification scheme (inference engine).


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