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Equipment fault diagnosis method and system

A technology of equipment failure and diagnosis system, applied in the field of artificial intelligence, can solve problems such as inability to accurately locate the cause of equipment failure and immature equipment failure diagnosis technology.

Pending Publication Date: 2020-11-06
GCI SCI & TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides an equipment fault diagnosis method and system to solve the technical problems that the existing equipment fault diagnosis technology is immature and cannot accurately locate the cause of equipment faults. The present invention can accurately locate the cause of equipment faults

Method used

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  • Equipment fault diagnosis method and system
  • Equipment fault diagnosis method and system

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Embodiment 1

[0052] see figure 1 , an embodiment of the present invention provides a device fault diagnosis system, including:

[0053]The data acquisition module 1 is used to acquire the parameter data of each component of the equipment collected by the data sensor in real time. Among them, after obtaining the parameter data of each component of the equipment, edge computing technology is used to preprocess the data, so that the fault detection module can judge whether the component is faulty or not according to the parameter data of each component of the equipment.

[0054] The fault detection module 2 is configured to judge whether a fault occurs in a component according to the spatiotemporal distribution state of the parameter data of each component.

[0055] The fault diagnosis module 3 is used to receive the initial failure probability of the component and the digital twin model of the equipment structure input by the initial multi-fault propagation relationship model 4 based on gra...

Embodiment 2

[0083] The embodiment of the present invention also provides a device fault diagnosis method, including:

[0084] Real-time acquisition of parameter data of each component of the equipment collected by the data sensor;

[0085] According to the spatio-temporal distribution state of the parameter data of each component, it is judged whether the component fails;

[0086] When a component of the equipment is detected to be faulty, the initial failure probability of the component input from the initial multi-fault propagation relationship model and the damage degree of the equipment input from the equipment structure digital twin model are received; wherein, the The initial multi-fault propagation relationship model is constructed based on the historical parameter data of the equipment, using deep learning and combined with expert experience;

[0087] Determine the final failure probability of the component according to the damage degree of the equipment and the initial failure p...

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Abstract

The invention discloses an equipment fault diagnosis method and system. The system comprises a data obtaining module which is used for obtaining the parameter data, collected by a data sensor, of allparts of equipment in real time; the fault detection module is used for judging whether the parts have faults or not according to the space-time distribution state of the parameter data of the parts;the fault diagnosis module is used for receiving the initial fault probability of the part input by adopting an initial multi-fault propagation relation model obtained by deep learning and the damagedegree of the equipment input by adopting an equipment structure digital twinning model when detecting that a certain part of the equipment has a fault; and the fault diagnosis module is also used fordetermining the final fault probability of the part according to the damage degree of the equipment and the initial fault probability of the part, and positioning the fault reason according to each final fault probability and the fault relationship. According to the embodiment of the invention, the equipment fault reason can be accurately positioned.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a device fault diagnosis method and system. Background technique [0002] The inventor found in research and practice that the current equipment fault diagnosis technology is not mature enough, and the equipment fault diagnosis system cannot accurately locate the cause of equipment faults. Therefore, how to further improve the accuracy of equipment fault diagnosis has become an urgent technical problem in this technical field. Contents of the invention [0003] The present invention provides an equipment fault diagnosis method and system to solve the technical problem that the existing equipment fault diagnosis technology is immature and cannot accurately locate the cause of the equipment fault. The present invention can accurately locate the cause of the equipment fault. [0004] In a first aspect, an embodiment of the present invention provides a device fault ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F30/20G06N3/08G06N3/04
CPCG06F30/20G06N3/08G06N3/045G06F18/2415
Inventor 杜翠凤房小兆沈文明猛新予
Owner GCI SCI & TECH