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A resilience measure formulation that considers sensor faults

机译：一种集体测量制剂，其考虑传感器故障

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摘要

Resilience is the probability that the system will not fail through resistance and recovery efforts. Most resilience studies to date have been performed with an assumption of no false alarms. However, in real-world settings, there are many possible causes of false alarms; one major cause is sensor faults. Therefore, this study proposes a newly formulated engineering resilience measure that considers sensor faults. The proposed measure is formulated in a probabilistic manner, and includes accurate system health state estimation, system reliability, and sensor reliability. In this research, the effectiveness of the proposed resilience measure is demonstrated by implementing prognostics and health management (PHM) into an electro-hydrostatic actuator (EHA). In the system, the sensor states affect the resilience of the system by misjudging the estimation of the system health state. The study shows how the proposed idea correctly estimates the resilience of the system under sensor degradation and fault. Finally, the accuracy of the proposed measure is compared with the two prior resilience measures. It is determined that the results of the proposed measure are superior for systems with low sensor reliability.
机译：弹性是系统无法通过抵抗和恢复工作失效的可能性。迄今为止的大多数恢复力研究都是在没有虚假警报的情况下进行的。但是，在现实世界的环境中，有许多可能的误报的原因;一个主要原因是传感器故障。因此，本研究提出了一种新配制的工程弹性措施，以考虑传感器故障。所提出的措施以概率的方式配制，包括精确的系统健康状态估计，系统可靠性和传感器可靠性。在该研究中，通过将预后和健康管理（PHM）实施到电静压致动器（EHA）中来证明所提出的弹性措施的有效性。在系统中，传感器状态通过误导系统健康状态的估计来影响系统的弹性。该研究表明，建议的想法是如何正确估计系统在传感器下降和故障下的恢复性。最后，将拟议措施的准确性与两种先前的弹性措施进行比较。确定所提出的措施的结果优于传感器可靠性低的系统。

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