Research and application of recognition technology for abnormal data from coal gas monitoring system

WANG Yong; YIN Da-fa; DI Peng-hao; XIAO Cheng

Article Contents

Article Navigation > Journal of Mine Automation > 2013 > 39(4): 83-86

WANG Yong, YIN Da-fa, DI Peng-hao, et al. Research and application of recognition technology for abnormal data from coal gas monitoring system[J]. Industry and Mine Automation, 2013, 39(4): 83-86.

Citation:

WANG Yong, YIN Da-fa, DI Peng-hao, et al. Research and application of recognition technology for abnormal data from coal gas monitoring system[J]. Industry and Mine Automation, 2013, 39(4): 83-86.

WANG Yong, YIN Da-fa, DI Peng-hao, et al. Research and application of recognition technology for abnormal data from coal gas monitoring system[J]. Industry and Mine Automation, 2013, 39(4): 83-86.

Citation:

WANG Yong, YIN Da-fa, DI Peng-hao, et al. Research and application of recognition technology for abnormal data from coal gas monitoring system[J]. Industry and Mine Automation, 2013, 39(4): 83-86.

PDF( 795 KB)

Research and application of recognition technology for abnormal data from coal gas monitoring system

Safety Equipment and Technology Research Branch, China Coal Research Institute, Beijing 100013, China

Publish Date: 2013-04-10

Abstract

Abstract

The paper analyzed causes of abnormal data of coal gas monitoring system in details, expounded recognizing principle of abnormal data, established recognition model and developed analysis software of abnormal data according to the recognition model. The practical application shows that the analysis software can effectively decrease false alarm and false power off, and improve of data validity and reliability.
- monitoring and control of coal mine,
- gas monitoring,
- abnormal data,
- recognition model,
- data mining