Research into a sensor-based diagnostic maintenance expert system for the hydraulics of a continuous mining machine

J. Mitchell
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引用次数: 5

Abstract

The US Bureau of Mines is completing development of a diagnostic maintenance system as part of its investigation into using expert system techniques to diagnose and predict hydraulic problems on a continuous mining machine. The Bureau has developed an expert knowledge base to diagnose hydraulic problems on a Joy 16CM continuous mining machine. This diagnostic system is interfaced to machine-based sensors which monitor various hydraulic system parameters, such as pressures, flows, temperatures, fluid level, and ferrous debris present in the oil. The status of these parameters is updated periodically and transmitted via a distributed interface to the diagnostic knowledge base. All diagnostic decisions are made based upon the available sensor information. The testing and evaluation plans for this system on the 16CM are outlined.<>
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基于传感器的连续采矿机液压诊断维修专家系统研究
美国矿业局正在完成诊断维护系统的开发,这是其使用专家系统技术诊断和预测连续采矿机上液压问题的调查的一部分。该局开发了一个专家知识库,用于诊断Joy 16CM连续采矿机的液压问题。该诊断系统与基于机器的传感器相连,传感器可以监测各种液压系统参数,如压力、流量、温度、液位和油中含铁碎屑。这些参数的状态定期更新,并通过分布式接口传输到诊断知识库。所有诊断决策都是基于可用的传感器信息做出的。概述了该系统在16CM上的测试与评估方案。
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