To solve the problem of incipient fault detection, a fault targeted gated recurrent unit-canonical correlation analysis (CCA) method is proposed. First, this article proposed fault targeted gated recurrent unit (FTGRU) to establish a temporal feature extraction model. The features extracted by FTGRU are more sensitive to the incipient faults, thus increasing the accuracy of the fault detection model. Then, a fault detection model is established by CCA method. In addition, in order to ensure the universality of the detection model, a multilayer fault detection strategy is proposed. At the first layer, the basic CCA model is used. When no fault is detected at this layer, the second layer fault detection method is enabled. In the second layer, the proposed FTGRU-CCA method is used. Finally, the proposed method and detection strategy are validated by two different industrial cases.

中文翻译：

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一种针对故障的门控循环单元-早期故障检测的典型相关分析方法


为了解决早期故障检测问题，提出了一种针对故障的门控循环单元典型相关分析（CCA）方法。首先，本文提出故障目标门控循环单元（FTGRU）来建立时间特征提取模型。 FTGRU提取的特征对早期故障更加敏感，从而提高了故障检测模型的准确性。然后，采用CCA方法建立故障检测模型。此外，为了保证检测模型的通用性，提出了多层故障检测策略。在第一层，使用基本的CCA模型。当本层没有检测到故障时，启用第二层故障检测方法。在第二层中，使用所提出的FTGRU-CCA方法。最后，通过两个不同的工业案例对所提出的方法和检测策略进行了验证。