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首页> 外文会议>International Symposium on Stability Control of Rotating Machinery(ISCORMA-4); 20070827-31; Calgary(CA) >MODEL BASED DIAGNOSTICS OF ROTATING MACHINERY
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MODEL BASED DIAGNOSTICS OF ROTATING MACHINERY

机译：基于模型的旋转机械诊断

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The paper concerns identification and diagnostics of rotating machinery with nonlinear dynamic properties. In the first part of the paper there is presented identification method combining restoring force, boundary perturbation and direct parameter estimation techniques. This method, on the contrary to classical nonlinear system identification methods, requires neither input measurement nor linear behaviour of the considered system around an operating point and, therefore, is a suitable method for identification of nonlinear systems working under immeasurable operational loads. In the paper there are presented results of method application to parameter identification of machine shaft flexible support. The second part of the paper concerns detection and identification of turbine blade cracking by means of the NARX model based damage detection technique, which is especially efficient in modeling and diagnostics of nonlinear systems. In the paper there is presented the algorithm of the NARX method based diagnostic process, method applicability to structural health monitoring of rotating machinery as well as method experimental verification carried out for data measured on the laboratory test stand.
机译：本文涉及具有非线性动态特性的旋转机械的识别和诊断。在本文的第一部分，提出了一种结合恢复力，边界摄动和直接参数估计技术的识别方法。与传统的非线性系统识别方法相反，该方法既不需要输入测量，也不需要考虑的系统在工作点附近的线性行为，因此是一种用于识别在不可估量的工作负载下工作的非线性系统的合适方法。提出了方法在机械轴柔性支架参数辨识中的应用结果。本文的第二部分涉及通过基于NARX模型的损伤检测技术来检测和识别涡轮叶片裂纹，该技术在非线性系统的建模和诊断中特别有效。本文介绍了基于NARX方法的诊断过程的算法，该方法在旋转机械结构健康监测中的适用性以及对实验室测试台上测得的数据进行的方法实验验证。

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