Research of Fault Diagnosis Method For Main Ventilator of Mine Based on Data Mining
Based on real time information of main ventilator automation system in mine, the paper proposed a new method of fault diagnosisdata mining method, mathematical model was presented. Process of data mining for ventilators fault diagnosis was introduced in the paper,and improved association algorithms of data mining, methods and models with multinomial parameters and compound multinomial parameters were given, and it was illustrated.Through the evaluation of the results,it can foretell faults of main ventilator,and make an important action to safety production of coal mine.
Bi-xia Sui
Changzhou College of Information Technology Changzhou 213164, P. R. China
国际会议
青岛
英文
2006-07-21（万方平台首次上网日期，不代表论文的发表时间）