ANOMALY DETECTION METHOD AND APPARATUS FOR INDUSTRIAL EQUIPMENT, ELECTRONIC DEVICE, AND STORAGE MEDIUM
This application provides an anomaly detection method and apparatus for industrial equipment, an electronic device, and a storage medium. The anomaly detection method for industrial equipment includes: obtaining current operating data and historical operating data of to-be-detected industrial equipm...
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creator | WANG, Fan TANG, Qi CHEN, Jiawen TIAN, Pengwei FENG, Cheng LI, Congchao |
description | This application provides an anomaly detection method and apparatus for industrial equipment, an electronic device, and a storage medium. The anomaly detection method for industrial equipment includes: obtaining current operating data and historical operating data of to-be-detected industrial equipment; obtaining predicted operating data of the industrial equipment according to the historical operating data, where the predicted operating data is a predicted value of the operating data of the industrial equipment at the current moment; calculating a difference between the current operating data and the predicted operating data, and obtaining an operating data deviation; determining a deviation range according to the operating data deviation and a pre-determined deviation distribution, where the deviation distribution is used for representing a data distribution met by a difference between an actual value and a predicted value of operating data of the industrial equipment during normal operating; and determining, if the operating data deviation falls beyond the deviation range, that the industrial equipment has an anomaly. This solution can improve accuracy of performing anomaly detection on the industrial equipment. |
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The anomaly detection method for industrial equipment includes: obtaining current operating data and historical operating data of to-be-detected industrial equipment; obtaining predicted operating data of the industrial equipment according to the historical operating data, where the predicted operating data is a predicted value of the operating data of the industrial equipment at the current moment; calculating a difference between the current operating data and the predicted operating data, and obtaining an operating data deviation; determining a deviation range according to the operating data deviation and a pre-determined deviation distribution, where the deviation distribution is used for representing a data distribution met by a difference between an actual value and a predicted value of operating data of the industrial equipment during normal operating; and determining, if the operating data deviation falls beyond the deviation range, that the industrial equipment has an anomaly. This solution can improve accuracy of performing anomaly detection on the industrial equipment.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
title | ANOMALY DETECTION METHOD AND APPARATUS FOR INDUSTRIAL EQUIPMENT, ELECTRONIC DEVICE, AND STORAGE MEDIUM |
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