Aktiebolaget Skf

Kaihuan Zhang

Gang Cheng

Liang Ding

A method for anomaly detection on a doctor blade of a papermaking machine includes obtaining doctor blade-related data, wherein the doctor blade-related data includes working condition data, status monitoring data, and design parameter data of the doctor blade, performing a predetermined data pre-processing on the doctor blade-related data to obtain a pre-processed data set, wherein the pre-processed data set includes processed data respectively corresponding to the working condition data, the status monitoring data, and the design parameter data; performing a predetermined feature extraction on the pre-processed data set, and fusing extracted features to obtain fused feature data; and analyzing 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.

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

A machine tool evaluation method, a machine tool evaluation system and medium are disclosed. The method includes: determining a target component of a machine tool; and for each target component: acquiring type information and attribute information of the target component; determining and acquiring, based on type information and the attribute information, target operating condition data, target state monitoring data, and target design parameter data corresponding to the target component and generating an original data set based on the target operating condition data, the target state monitoring data and the target design parameter data; preprocessing the original data set to obtain a target data set; performing feature extraction on the target data set to obtain a feature data set; and performing a multi-level evaluation on the target component, and generating an evaluation result of the target component; and generating an evaluation result of the machine tool based on the evaluation results.

Machine tool evaluation method, machine tool evaluation system and medium

A machine tool management method, a machine tool management system and a medium are disclosed, the machine tool management method including: determining at least one target component of a machine tool; generating an evaluation result of the machine tool according to a preset processing rule based on the determined at least one target component; for each target component of one or more target components in the at least one target component, acquiring a target evaluation result corresponding to the target component from the evaluation result of the machine tool; determining a preset management rule based on the target evaluation result and type information and attribute information of the target component, and managing the target component according to the preset management rule.

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Hangzhou, China

Kaihuan Zhang