Rotating machinery fault information processing method, processing system, processing terminal, medium

An information processing method and technology of rotating machinery, applied in the processing method of rotating machinery fault information, processing terminal, processing system, processing of rotating machinery fault information based on deep field self-adaptive confrontation network, and medium field, can solve cumbersome operations and fault samples Insufficient and difficult to obtain labeled data, etc., to achieve the effects of reducing labor costs, improving user economic benefits, and facilitating optimization and improvement
CN113076834BActive Publication Date: 2022-05-13HUAZHONG UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUAZHONG UNIV OF SCI & TECH
Publication Date
2022-05-13

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Abstract

The invention belongs to the technical field of state monitoring and fault diagnosis of rotating machinery, discloses a method for processing fault information of rotating machinery, a processing system, a processing terminal, and a medium, and constructs a neural network model including a deep feature extractor, a domain classifier, and a state predictor , using the deep feature extractor to automatically extract the migration fault features from the laboratory simulation data and the rotating part monitoring data in the actual engineering equipment through the neural network model; using the domain classifier to shorten the difference between the two data distributions, using the state prediction The machine and domain adaptation constraints are introduced to form a fault diagnosis model based on the deep domain adaptive confrontation network, and the model is used to realize the intelligent fault diagnosis of rotating machinery. The invention can accurately extract the characteristics of migration faults in laboratory simulation data and actual engineering data, and form a fault migration diagnosis model that can be applied to rotating parts, and achieve ideal effects through actual case utilization.
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Description

technical field

[0001] The invention belongs to the technical field of state monitoring and fault diagnosis of rotating machinery, and in particular relates to a method for processing fault information of rotating machinery, a processing system, a processing terminal, and a medium, and in particular to a method for processing fault information of rotating machinery based on a deep domain self-adaptive confrontation network . Background technique

[0002] At present, rotating machinery, as one of the important components of large-scale industrial equipment systems, plays a vital role in the stable operation of the entire system. Its rotating parts (such as rolling bearings, gearboxes, etc.) often work in harsh environments, and have large rotational kinetic energy during operation, which is prone to failure, reduces system reliability, reduces system life, and even causes industrial production. huge loss. Therefore, it is very necessary to carry out fault diagnosis on rotat...

Claims

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