Face haulage equipment failure analysis. Volume I. Technical information and conclusions. Final technical report as of November 30, 1980
Face haulage equipment used in conjunction with continuous miners (shuttle cars, diesel haulers, battery scoops, and bridge conveyors) was investigated by recording section delay reports for computer analysis to determine the effect of haulage equipment failures and downtime on productivity, pinpoint the causes of machine failures and downtime, and develop the possible design and operational changes required to reduce machine failures and downtime and increase section productivity. For the mobile vehicle type of haulage (shuttle car, diesel hauler, and battery scoop) failure of one unit in multiple unit haulage operations would not normally stop section production. Bridge conveyors as a haulage system provide continuous haulage of section production but when any part of the bridge system fails, the section production is stopped. In the course of this program, it was determined through the use of daily section shift reports on 200 machines that face haulage equipment is responsible for about 40 to 56 minutes of lost section production time per shift. The most prevalent failure for shuttle cars was found to be the trailing cable umbilical. Bridge conveyors had the most trouble with the conveyor subsystem. Discussions of these and other recorded failures are developed with possible solutions outlined for future implementation. This report only covers the face haulage element of the continuous miner system. Companion reports were developed for the continuous miner and roof bolter elements under separate task orders.
- Research Organization:
- Woodward Associates, Inc., San Diego, CA (USA)
- DOE Contract Number:
- AC01-77ET12221
- OSTI ID:
- 6516830
- Report Number(s):
- DOE/ET/12221-T1(Vol.1)
- Country of Publication:
- United States
- Language:
- English
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42 ENGINEERING
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CABLES
COAL MINING
CONDUCTOR DEVICES
CONTINUOUS MINERS
CONVEYORS
CUTTER LOADERS
DATA
DESIGN
ELECTRIC CABLES
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NUMERICAL DATA
PERSONNEL
PRODUCTIVITY
RECOMMENDATIONS
RELIABILITY
SYSTEM FAILURE ANALYSIS
SYSTEMS ANALYSIS
TRAINING
UNDERGROUND MINING