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PERFORMANCE MODEL 'ZOOMING' FOR IN-DEPTH COMPONENT FAULT DIAGNOSIS

机译:深度组件故障诊断的性能模型“缩放”

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A method giving the possibility for a more detailed gas path component fault diagnosis, by exploiting the "zooming" feature of current performance modelling techniques, is presented. A diagnostic engine performance model is the main tool that points to the faulty engine component. A diagnostic component model is then used to identify the fault.The method is demonstrated on the case of compressor faults. A 1-D model based on the "stage stacking" approach is used to "zoom" into the compressors, supporting a 0-D engine model. A first level diagnosis determines the deviation of overall compressor performance parameters, while "zooming" calculations allow a localization of the faulty stages of a multistage compressor. The possibility to derive more detailed information with no additional measurement data is established, by incorporation of empirical knowledge on the type of faults that are usually encountered in practice.Although the approach is based on known individual diagnostic methods, it is demonstrated that the integrated formulation provides not only higher effectiveness but also additional fault identification capabilities.
机译:提出了一种方法,该方法通过利用当前性能建模技术的“缩放”功能,可以进行更详细的气路组件故障诊断。诊断引擎性能模型是指出故障引擎组件的主要工具。然后使用诊断组件模型来识别故障。 在压缩机故障的情况下演示了该方法。使用基于“阶段堆叠”方法的一维模型来“缩放”到压缩机中,从而支持0维引擎模型。一级诊断可确定总体压缩机性能参数的偏差,而“缩放”计算则可以对多级压缩机的故障级进行定位。通过合并有关实践中通常遇到的故障类型的经验知识,可以建立无需额外测量数据即可获得更详细信息的可能性。 尽管该方法基于已知的个别诊断方法,但已证明集成的配方不仅提供更高的有效性,而且还提供了附加的故障识别功能。

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