Real-time novelty detection of an industrial gas turbine using performance deviation model and extreme function theory
Real-time novelty detection of an industrial gas turbine using performance deviation model and extreme function theory
复制标题
利用性能偏差模型和极值函数理论对工业燃气轮机进行实时新颖性检测
DOI：
10.1016/j.measurement.2021.109339
复制
发表时间：
2021-04
期刊：
影响因子：
5.6
通讯作者：
Yongfeng Sui
中科院分区：
文献类型：
--
作者：
Xiwen Gu;Shixi Yang;Yongfeng Sui
新奇检测对于确保工业燃气涡轮机的可用性和可靠性至关重要。随着现代健康监测系统的应用，从燃气轮机中收集了大量的数据，但它们通常来自正常事件，对任何新奇的了解都很有限。在当前实践中，未知事件是通过逐点方法与正态模型进行比较来检测的，这在误报或漏报方面效率低下。提出了一种基于性能偏差模型和极值函数理论的新奇检测方法。该模型由多传感器实时性能数据建立。模型的输出，即偏差曲线，被认为是函数，而不是个别的数据点，测试系统的状态是“正常”或“异常”的极值理论。单轴燃气涡轮机的现场监测数据验证了该方法的有效性。与其他传统方法相比，该方法具有上级的优越性，检测精度高，灵敏度高，同时在虚警率和漏报率之间取得了较好的平衡。为工业燃气轮机的实时健康监测提供了一种可靠的方法。
Novelty detection is crucial to ensure the availability and reliability of an industrial gas turbine. With the application of modern health monitoring systems, there is an ample amount of data gathered from gas turbines, however they are usually from normal events with limited knowledge of any novelty. In current practice, the unknown event is detected by comparing with a model of normality through pointwise approaches, which is inefficient in terms of false alarms or missing alarms. This paper proposes an accurate novelty detection approach using performance deviation model and extreme function theory. The model is established from the multi-sensor real-time performance data. Outputs of the model, that is, the deviation curves, are considered as functions instead of individual data points to test the status of the system as ‘normal’ or ‘abnormal’ by the extreme value theory. The effectiveness of the proposed approach is demonstrated by the monitoring data from a single shaft gas turbine on site. Compared with other traditional methods, the proposed approach is superior in terms of high detection accuracy and high sensitivity with a good balance between the false alarm rate and missing alarm rate. This paper provides a reliable approach for the real-time health monitoring of the industrial gas turbines.
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