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首页> 外文会议>Society for Machinery Failure Prevention Technology Meeting; 20050418-21; Virginia Beach,VA(US) >VERIFICATION AND VALIDATION OF DIAGNOSTIC/PROGNOSTIC ALGORITHMS
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VERIFICATION AND VALIDATION OF DIAGNOSTIC/PROGNOSTIC ALGORITHMS

机译：诊断/预言算法的验证和验证

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摘要

This paper describes metrics and strategies used to verify and validate diagnostic and prognostic algorithms. Metrics presented for fault detection, diagnosis and prognosis functional elements form the core performance assessment of a deployed PHM system. The authors discuss the use of simulation and real fault data, and the strategy employed to project fielded performance of the system. The effects of signal noise, measurement uncertainty, and threshold settings are also addressed. In addition, several tools are highlighted that aid in this testing and evaluation. The concept of 'performance metric growth' as more field data becomes available is also addressed in the work. Specific application of these techniques and tools to the Expeditionary Fighting Vehicle is offered.
机译：本文介绍了用于验证和验证诊断和预后算法的指标和策略。提出的用于故障检测，诊断和预后功能元素的度量标准构成了已部署的PHM系统的核心性能评估。作者讨论了仿真和实际故障数据的使用，以及用于预测系统现场性能的策略。还解决了信号噪声，测量不确定性和阈值设置的影响。此外，重点介绍了有助于此测试和评估的几种工具。随着更多现场数据的可用，“绩效指标增长”的概念也得到了解决。提供了这些技术和工具在远征战斗机上的具体应用。

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