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FORWARD LOOKING DIAGNOSTICS

机译:前瞻性诊断

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摘要

Forward Looking Diagnostics (FLD) approach is an assessment technique that provides a simplified way to determine overall condition of systems using the knowledge of their component/ equipment degradation. FLD was conceived to make it easier, faster and more economical to determine the type and severity of system level performance determination for a wide variety of operating modes.rnIn its short history, FLD has evolved from an informal network of loosely associated information utilized in techniques that apply only to simple or common cause failure events to a dynamic mechanism for collecting data and investigating complex failure modes from a variety of perspectives, alternatively dissecting them into their underlying (yet often unknown) root cause patterns. There seems to be almost no limit to the possible uses for FLD in the lifecycle support of complex electromechanical systems.rnLifecycle applications that can make use of FLD have several advantages over traditional prognostic-based failure determination methods. Among these are high cost, high uncertainty and single point type of failures, thereby making the use of FLD ever more necessary as systems become increasingly more complex over time.
机译:前瞻性诊断(FLD)方法是一种评估技术,它提供了一种简化的方法,可使用有关组件/设备性能下降的知识来确定系统的整体状况。 FLD旨在使确定各种操作模式的系统级性能确定的类型和严重性变得更容易,更快和更经济。rn在很短的历史中,FLD从非正式的技术松散相关信息网络演变而来仅适用于简单或常见原因故障事件的动态机制,可以从多种角度收集数据并研究复杂的故障模式,也可以将其分解为潜在的(但通常未知的)根本原因模式。在复杂的机电系统的生命周期支持中,FLD的用途似乎几乎没有限制。可以利用FLD的生命周期应用程序比传统的基于故障诊断的故障确定方法具有多个优势。其中包括高成本,高不确定性和单点故障类型,因此随着系统随着时间的推移变得越来越复杂,越来越需要使用FLD。

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