Recent progress in discriminating between coal cutting and rock cutting with adaptive signal processing techniques

Pazuchanics, M. J. (Michael J.); Mowrey, Gary L.

Back to Previous Page

- Add this to...
- Twitter
- Facebook
- Google Bookmarks
- LinkedIn

Recent progress in discriminating between coal cutting and rock cutting with adaptive signal processing techniques

Published Date:

1993

Series:

Report of investigations (United States. Bureau of Mines) ; 9475

Language:

English

[PDF-548.93 KB]

Details:

Personal Author:

Pazuchanics, M. J. (Michael J.) ; Mowrey, Gary L. ;

Corporate Authors:

United States. Bureau of Mines.

Description:

"The report documents the current status of the U.S. Bureau of Mines ongoing investigation of the use of adaptive signal discrimination (ASD) systems to distinguish between cutting coal and cutting mine rock. Cutting tool forces and vibrations were measured in the laboratory using both conical bits and roller cutters in a linear cutting apparatus for several material samples and two cutting directions. A number of ASD systems consisting of one or more signal classifiers were trained and tested to study how data window size, type of signal feature, and combining (polling) of classifier results influence system performance. The results show that ASD system recognition rates can be improved by increasing data window size, removing air cutting portions from the signal data, overlapping data windows, and combining (fusing) information at various levels of ASD system operation." - NIOSHTIC-2

NIOSH no. 10012169

Subject:

[+]

Document Type:

Report

Collection(s):

National Institute for Occupational Safety and Health

Main Document Checksum:

[+]

Supporting Files:

No Additional Files

No Related Documents.

You May Also Like:

Bureau of Mines publications and articles, 1992-1993 (with subject and author index)

Corporate Authors:

United States. Bureau of Mines

Published Date:

1994

Series:

Special publication (United States. Bureau of Mines) ; SP 13-94

Description:

The U.S. Bureau of Mines (USBM) was established in the public interest to conclude inquiries and scientific and technologic investigations on mining and the preparation, treatment, and utilization of mineral substances; to promote health and safety i...

File Type:

[PDF - 18.32 MB]
In-Mine Evaluation Of Smart Mine Fire Sensor

Personal Author:

Franks, R. A.; Friel, G. F.; Edwards, J. C.; Smith, A. C.;

Corporate Authors:

National Institute for Occupational Safety and Health

Conference Authors:

Society for Mining, Metallurgy, and Exploration (U.S.). Meeting (2008 Feb. 24-27 : Salt Lake, UT)

Published Date:

2008

Source:

2008 SME Annual Meeting and Exhibit, February 24-27, Salt Lake City, Utah, Preprint 08-053. Littleton, CO: Society for Mining, Metallurgy, and Exploration, Inc., 2008 Feb; :1-7

Description:

An evaluation of a nuisance-emissions-discriminating smart mine fire sensor system was made in an operating coal mine. These field evaluations were conducted to determine the sensor system's ability to discern nuisance emissions, such as diesel exhau...

File Type:

[PDF - 432.59 KB]
Safety breakthrough - reduced exposures mining system (REMS)

Personal Author:

McClelland, John J.; Randolph, Robert F.; Schnakenberg, George H.; Fowkes, Richard S.;

Corporate Authors:

United States. Bureau of Mines.

Published Date:

1994

Series:

Special publication (United States. Bureau of Mines) ; SP 26-94

File Type:

[PDF - 867.84 KB]
Real-time neural network application to mine fire - nuisance emissions discrimination

Personal Author:

Edwards, J. C.; Franks, R. A.; Friel, G. F.; Lazzara, C. P.; Opferman, J. J.;

Corporate Authors:

Pittsburgh Research Laboratory (National Institute for Occupational Safety and Health)

Conference Authors:

U.S./North American Mine Ventilation Symposium (10th : 2004 May 16-19 : Anchorage, Alaska)

Published Date:

1/1/2005

Source:

Mine ventilation: Proceedings of the 10th U.S./North American Mine Ventilation Symposium, Anchorage, Alaska, May 16-19, 2004. Lisse, Netherlands: Balkema, 2004 May; :425-431

Description:

The National Institute for Occupational Safety and Health (NIOSH) implemented a real-time neural network system which can discriminate mine fires from nuisance diesel emissions as part of an atmospheric mine monitoring system in NIOSH’s Safety Rese...

File Type:

[PDF - 175.23 KB]
Using Coal Miners' Experience to Identify Effective Operating Cues; Proceedings of the HFES 42nd Annual Meeting

Personal Author:

Cornelius, Kim M.; Steiner, Lisa J.; Turin, Fred C.;

Published Date:

0/1/1900

Description:

Like many experienced workers, remote control continuous miner operators perform their everyday jobs making choices and decisions that they may not consciously think about. While performing tasks, they are continuously processing feedback and cues wh...

File Type:

[PDF - 717.90 KB]