Research on Automatic Knowledge Acquisition Technology for Software Fault Diagnosis

Author(s):  
Ran Yan ◽  
Yang Jian ◽  
Li-Chao Hao ◽  
Xin-Yu Han ◽  
Long-Li Tang
2007 ◽  
Vol 359-360 ◽  
pp. 518-522
Author(s):  
Wan Shan Wang ◽  
Tian Biao Yu ◽  
Xing Yu Jiang ◽  
Jian Yu Yang

Remote control and fault diagnosis of ultrahigh speeding grinding is studied, which is based on the theory of rough set. Knowledge acquisition and reduction rule of fault diagnosis, realization method of remote control for ultrahigh speed grinding are studied, diagnosis model is established. Based on the theoretical research and ultrahigh speed grinder with a linear speed of 250 m/s, the remote control and fault diagnosis system of ultrahigh speed grinding is developed. Results of the system running show that the environment is improved, the mental pressure of workers is relieved and the efficiency is improved. At the same time, it proves that the ability to diagnosis and the accuracy of diagnosis for the ultrahigh speed grinding are improved and the time for diagnosis is shortened by applying rough set.


2014 ◽  
Vol 644-650 ◽  
pp. 2965-2968
Author(s):  
Hua Wang ◽  
Xian Yu Li ◽  
Xue Ning Wang ◽  
Wei Na Liu

Based upon the synopsis of software support of information system, this paper puts forward main factors, integrated model and phase tasks of software support of information system, and gives description to software supportability analysis technology, software fault diagnosis technology, software fast recovery technology and software remote support technology so as to increase software support capabilities and information system effectiveness.


2014 ◽  
Vol 602-605 ◽  
pp. 1793-1796
Author(s):  
Dong Hui Peng ◽  
Fei Ye ◽  
Xin Wang ◽  
Chuan Hai Jiao

In view of the grass-roots level radar equipment maintenance and testing difficulty is big, the efficiency is low, limited technical conditions, etc, put forward a kind of intelligent fault diagnosis expert system model suitable for the radar equipment, and focus on the basic structure of the model, knowledge acquisition and the relevant reasoning mechanism. According to the characteristics of the grass-roots level radar fault diagnosis, the system combines automatic test technology and expert system and can improve the efficiency and reliability of fault diagnosis.


2012 ◽  
Vol 524-527 ◽  
pp. 819-823
Author(s):  
Xin Ping Su ◽  
Guang Kun Nie ◽  
Wei Xin Fan

An approach of forklift’s fault diagnostic knowledge acquisition and discrete date based on rough set theory was put forward, according to the rough set theory in fault diagnosis of fault tolerance, the use of rough set theory in fault knowledge attribute reduction and value reduction, as in incomplete fault information of forklift hydraulic system fault diagnosis provides a train of thought. The inferential strategy and process of fault diagnosis of hydraulic system for forklift were described. Examples show that the proposed approach is very effective.


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