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Error States - Proactive Learning, Forgetting and Elimination using Safety Management

机译:错误状态 - 主动学习,使用安全管理忘记和消除

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Error states exist as part of all technologies, and the challenge is therefore to eliminate them, not just partially correct them. This paper provides the seeds of a novel approach, by examples and theory, that provides a new way forward. We review some technological examples where improved Error State analysis coupled with training could have saved serious consequences. Ideally, Error States can be eliminated by dynamically tracking our progress as we continually learn and improve our ability to predict events, and by enforcing and/or requiring the most effective approaches to ensure maximum error state elimination.
机译:错误状态作为所有技术的一部分存在,因此挑战是消除它们,而不仅仅部分纠正它们。本文通过实施例和理论提供了一种新方法的种子,提供了一种新的前进方式。我们审查了一些技术示例,其中改善了与培训耦合的误差状态分析可能会节省严重后果。理想情况下,通过动态跟踪我们的进度,可以通过在不断学习和提高我们预测事件的能力,以及执行和/或需要最有效的方法来确保最大误差状态消除来消除错误状态。

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