Method and apparatus for anomaly detection on a doctor blade of a papermaking machine, and computing device

An apparatus for anomaly detection on a doctor blade of an operating papermaking machine, comprising a computer processor configured to:

• obtain doctor blade-related data of a doctor blade currently in use by the papermaking machine, wherein the doctor blade-related data includes real-time working condition data, real-time status monitoring data, and design parameter data of the doctor blade;
• perform data pre-processing on the doctor blade-related data in a predetermined pre-processing manner to obtain a pre-processed data set, wherein the pre-processed data set includes processed data respectively corresponding to the real-time working condition data, the real-time status monitoring data, and the design parameter data;
• perform feature extraction on the pre-processed data set in a predetermined feature extraction manner, and to fuse extracted features to obtain fused feature data;
• and
• analyze the fused feature data based on different anomaly detection processes respectively, to perform a comprehensive anomaly detection on the doctor blade of the papermaking machine.