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Applying Adaptive Signal Discriminating Systems to Mining Problems.
Proc the 9th Int'l Mining Electrotechnology Conf 1988 :59-64
Two important mining research issues are (1) how to detect a coal- noncoal interface such that an automated mining machine can track the coal seam and (2) how to assess the bonding integrity of resin roof bolts. The U.S. Bureau of Mines is applying a new approach to solving both problems by utilizing adaptive signal discrimination (asd) systems to extract features and classify complex signals. The Bureau is investigating the coal interface problem by using accelerometers mounted on the mining machine and/or strata to monitor mining machine vibration signals. An asd system is trained on a database of known signals (e.g., "cutting coal" and "starting to cut roof") and then can be used to objectively determine the type of formation being cut. The feasibility of utilizing asd-type systems to assist in the evaluation of the bonding integrity of resin roof bolts via analysis of ultrasonic and seismic signals is also being investigated.
Proc. the 9th Int'l Mining Electrotechnology Conf., 1988, PP. 59-64
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