Title :
The Study of Fault Location and Safety Control for the Mine Ventilating Fan
Author :
Hou, Yuan-bin ; Wang, Yong ; Gao, Yun ; Du, Jing-yi ; Wang, Mei ; Zhang, Hai-feng ; Jiao, Shui-ling
Author_Institution :
Dept. of Electr. Autom. Eng., Univ. of Xi´´an Sci. & Technol.
Abstract :
For highly mine with mash gas, a fault location method of rough set theory for mine ventilator is presented, where fault attributes are divided into ten kinds, these decision tables of blocking partition are established; the rough set core of every decision table is got through reduction; the blocking tables with the dissimilarity fault kind combined to make a decision table; then the minimum decision set of the table is deduced further using synthesis analysis. Based on this minimum decision set, an equipment of automation fault location and safety control is made, which based on C51 single-chip computer for mine local ventilator, the efficiency of the equipment is proved, and the result in engineering experiment is as good as the test. The number of this decision rule is 5 percent of the total rule number by normal rough set
Keywords :
decision tables; fans; fault location; mining industry; rough set theory; safety; ventilation; C51 single-chip computer; blocking partition; decision rule; decision tables; fault attributes; fault location method; mine ventilating fan; minimum decision set; rough set theory; safety control; Artificial intelligence; Automatic control; Automation; Computerized monitoring; Diagnostic expert systems; Fault diagnosis; Fault location; Fuzzy set theory; Gas detectors; Machine learning; Petroleum; Safety devices; Sensor phenomena and characterization; System recovery; Fault location; Mine well ventilating; Minimum decision set; Rough set;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258584