A method, device, computer equipment and medium for anomaly detection
An anomaly detection and equipment technology, applied in the field of anomaly detection, can solve the problems of low operating efficiency of anomaly detection models
Active Publication Date: 2021-06-29
BEIJING REALAI TECH CO LTD
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[0003] In view of this, the purpose of this application is to provide a method, device, computer equipment and medium for anomaly detection, which is used to solve the problem of low operating efficiency of equipment anomaly detection models in the prior art
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[0042]In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without ...
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The present application provides a method, device, computer equipment and medium for anomaly detection. The method includes: obtaining a training sample set used for training; for each training sample, inputting the historical monitoring time series data set in the training sample to the The trained stack-shared variational autoencoder model obtains the historical reference time series data set, and utilizes the relationship between each historical monitoring time series data in the historical monitoring time series data set and the historical reference time series data of the corresponding channel in the historical reference time series data set The difference between the stacked-shared variational autoencoder model to be trained is trained; the monitoring time series data obtained from the target device is input into the trained stacked-shared variational autoencoder model to obtain reference time series data; according to each Monitor the difference between the timing data and the corresponding reference timing data to determine the abnormality of the target device; send abnormal alarm information according to the abnormality of the target device.
Description
technical field [0001] The present application relates to the field of data processing, in particular, to a method, device, computer equipment and media for anomaly detection. Background technique [0002] In contemporary society, with the advancement of science, machinery and equipment, computer systems, etc. are widely used in people's production and life, which greatly liberates productivity and improves production efficiency in all aspects of life. Common equipment includes wind turbines, dams, computing clusters, etc. in industrial production scenarios. These equipment are not eternal, and wear and tear, parts damage, and program crashes will occur during long-term work. Contents of the invention [0003] In view of this, the purpose of this application is to provide a method, device, computer equipment and medium for anomaly detection, which are used to solve the problem of low operating efficiency of equipment anomaly detection models in the prior art. [0004] In ...
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IPC IPC(8): G06K9/62G06F16/903
CPCG06F16/903G06F18/29G06F18/214
Inventor 不公告发明人
Owner BEIJING REALAI TECH CO LTD