Production line equipment processing stability intelligent monitoring and abnormity diagnosis method and device

The invention discloses a production line equipment processing stability intelligent monitoring and abnormity diagnosis method and device. The method comprises the following steps: collecting production line equipment spindle working signals; processing the collected main shaft working signals, extracting characteristic parameters reflecting the stability of the machining process, setting a stability threshold line, and judging whether the machining process of a production line is stable or not according to the characteristic parameters to realize intelligent monitoring of the health state of the machining process; and performing feature extraction and classification identification on the abnormal state of the machining process, inputting a feature value into a classification model for learning training, and finally realizing diagnosis of the current state of the production line machining process. The device comprises a data acquisition module, a feature extraction module, an intelligent monitoring module and