Human Factor in Mining Machines Maintenance Operations

L. Papic, S. Kovacevic
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引用次数: 15

Abstract

Human errors are one of the main sources of many problems related to the reliability of mining machines. Occurrence of human errors is caused by the actions as failure (omission, unsuccessful attempt) to execute a required function, wrong decision in a response on certain problem, performing of function that shouldn't be executed, unsuccessful in recognition (observation, revealing) of a dangerous condition that requires corrective measures, bad timing and bad response on unpredicted circumstances. Integration both of approaches to human factor analysis: top-down (Causes-effect diagram and 5 Why?) and bottom-up (event tree analysis) for mining machines maintenance operations effectiveness improvement is considering in the paper. The method of Causes-effect diagram and 5 Why? are used in the subject investigation to detect and systematize human factors (human errors) that affect the results performing for the mining machines maintenance operation, i.e. sources that cause a maintenance problem. Event Tree Analysis is used as additional method in regard to Causes-effect diagram and 5 Why?. This method described certain logical events which come from primary initial event -- error of maintainer. Event tree is in the subject investigation developed in order to find modes for mitigation waste (injury).
矿山机械维修作业中的人为因素
人为失误是造成矿机可靠性问题的主要原因之一。人为错误的发生是由于执行所需功能的失败(遗漏,不成功的尝试),对某些问题的响应中的错误决策,执行不应该执行的功能,不成功地识别(观察,揭示)需要纠正措施的危险条件,错误的时机和对不可预测的情况的错误响应等行为引起的。本文考虑将自顶向下(因果图和5个为什么)和自底向上(事件树分析)两种人为因素分析方法结合起来,提高矿机维修作业效率。因果图法和5为什么?在主题调查中用于检测和系统化影响矿机维护操作结果的人为因素(人为错误),即导致维护问题的来源。事件树分析法作为因果图和5 Why的附加方法。该方法描述了来自主要初始事件——维护者错误的某些逻辑事件。事件树是在主题调查中开发的,目的是找到减少浪费(伤害)的模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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