Online intelligent fault diagnosis method and system for rotating machinery for lifelong learning

A rotating machinery, intelligent diagnosis technology, applied in neural learning methods, computer parts, instruments, etc., can solve the problems of difficult to establish a complete database, difficult to collect fault data, etc., to improve the update efficiency, effective data flow information, Effective treatment effect

Pending Publication Date: 2022-01-21
XI AN JIAOTONG UNIV
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  • Abstract
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Problems solved by technology

However, their shortcoming is that they all adopt the "offline modeling, online deployment" mode, which relies on a complete fault database to build a compl

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  • Online intelligent fault diagnosis method and system for rotating machinery for lifelong learning
  • Online intelligent fault diagnosis method and system for rotating machinery for lifelong learning
  • Online intelligent fault diagnosis method and system for rotating machinery for lifelong learning

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Embodiment Construction

[0070] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0071] In the description of the present invention, it should be understood that the terms "comprising" and "comprising" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or more other features, Presence or addition of wholes, steps, operations, elements, components and / or collections thereof.

[0072] It should also be understood that the terminology used in the descriptio...

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Abstract

The invention discloses a rotating machinery online intelligent fault diagnosis method and system for lifelong learning. The method comprises the following steps: building an initial intelligent diagnosis model through collected historical fault data, and carrying out the online updating of the intelligent diagnosis model through a sample incremental learning mode when new fault sample data is collected step by step, and when new fault mode data is collected step by step, updating the intelligent diagnosis model on line in a mode of mode incremental learning, collecting a data sample of the rotating machine to be diagnosed, inputting the data sample into the intelligent diagnosis model, and diagnosing the fault of the rotating machine. According to the method, lifetime learning of the intelligent diagnosis model is realized through initial model training, sample incremental learning and mode incremental learning, data stream information can be effectively processed, storage consumption of data is greatly reduced, and practical engineering application is facilitated.

Description

technical field [0001] The invention belongs to the technical field of safe service of rotating machinery, and in particular relates to a lifelong learning-oriented online intelligent fault diagnosis method and system for rotating machinery, which can be used for fault prediction and health management of rotating machinery. Background technique [0002] Rotating machinery, such as bearings, gears, turbine discs, etc., are frequently faulty parts of modern industrial equipment, and their service safety directly affects the operation status of the complete machine equipment. Therefore, efficient and accurate diagnosis of the fault status of rotating machinery is crucial to ensure the operation Safety, reducing maintenance costs and improving production efficiency are of great engineering significance. [0003] Intelligent fault diagnosis of rotating machinery aims to mine fault information in monitoring data and identify the fault status of rotating machinery through artificia...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/088G06N3/048G06F18/24G06F18/214
Inventor 曹宏瑞付洋史江海魏江陈雪峰
Owner XI AN JIAOTONG UNIV
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