A Fault-Targeted Gated Recurrent Unit-Canonical Correlation Analysis Method for Incipient Fault Detection

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.