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Heterogeneous equipment multi-domain joint fault prediction method, device, terminal and storage medium

A fault prediction and equipment technology, applied in prediction, neural learning methods, neural architecture, etc., can solve the problems of no equipment fault prediction, unreliability, incomplete process data, etc., and achieve equipment fault prediction and accurate equipment fault prediction Effect

Active Publication Date: 2022-04-22
GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the equipment fails, the process data is incomplete or unreliable, which will affect the safe and stable operation of the entire system. At present, there is no method to predict the failure of the equipment in the system.

Method used

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  • Heterogeneous equipment multi-domain joint fault prediction method, device, terminal and storage medium
  • Heterogeneous equipment multi-domain joint fault prediction method, device, terminal and storage medium
  • Heterogeneous equipment multi-domain joint fault prediction method, device, terminal and storage medium

Examples

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Effect test

Embodiment 1

[0059] like figure 1 As shown, in an embodiment of the multi-domain joint fault prediction method for heterogeneous equipment, the steps are:

[0060] S100. Obtain cross-domain historical data of the target device before the target time, and construct target data sequences corresponding to each domain.

[0061] The target device can be any device in the power system or other systems, and can also be an independently operated device. The target device can be a sensor, etc. In order to predict the possibility of failure of the target device at the target time, first Obtain the cross-domain historical data of the target device before the target moment, and construct the target data sequences corresponding to each domain. Specifically, each domain may include the time domain, frequency domain, time-frequency domain, and graphic domain. The acquired target device is in For the cross-domain historical data before the target moment, the construction of the target data sequence corre...

Embodiment 2

[0117] Based on the above embodiments, the present invention also provides a multi-domain joint fault prediction device for heterogeneous equipment, such as image 3 As shown, the multi-domain joint fault prediction device for heterogeneous equipment includes:

[0118] A target data sequence construction module, the target data sequence construction module is used to obtain the cross-domain historical data of the target device before the target time, and construct the target data sequence corresponding to each domain, specifically as described in the first embodiment;

[0119] A feature information extraction module, the feature information extraction module is used to input each of the target data sequences into the trained first neural network, and extract the feature information corresponding to each preset fault category in each domain, specifically as in the embodiment mentioned in one;

[0120] A feature fusion and prediction module, the feature fusion and prediction mo...

Embodiment 3

[0123] Based on the above embodiments, the present invention also provides a corresponding terminal, such as Figure 4 As shown, the terminal includes a processor 10 and a memory 20 . Figure 4 Only some components of the terminal are shown, but it should be understood that implementation of all illustrated components is not required, and more or fewer components may be implemented instead.

[0124]The storage 20 may be an internal storage unit of the terminal in some embodiments, such as a hard disk or memory of the terminal. In other embodiments, the memory 20 may also be an external storage device of the terminal, such as a plug-in hard disk equipped on the terminal, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD ) card, flash memory card (Flash Card), etc. Further, the memory 20 may also include both an internal storage unit of the terminal and an external storage device. The memory 20 is used to store application software and various d...

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Abstract

The invention discloses a heterogeneous device multi-domain joint fault prediction method, device, terminal and storage medium. The method includes: obtaining cross-domain historical data of a target device before a target time, and constructing target data sequences corresponding to each domain; Each of the target data sequences is input to the trained first neural network, and the feature information corresponding to each preset fault category in each domain is extracted; the feature information corresponding to each preset fault category in each domain is performed Fusion to obtain the fusion feature information of each preset fault category, and obtain the fault prediction result of the target device at the target time according to the fusion feature information; wherein, the domain includes time domain, frequency domain, time domain frequency domain and graphics domain. The invention can realize accurate equipment failure prediction.

Description

technical field [0001] The present invention relates to the technical field of terminal control, and in particular to a heterogeneous equipment multi-domain joint fault prediction method, device, terminal and storage medium. Background technique [0002] The power system covers a very wide range. In order to maintain the normal operation of the power system, multiple devices need to work together, and multiple devices need to collect massive data for analysis. When the equipment fails, the process data is incomplete or unreliable, which will affect the safe and stable operation of the entire system. At present, there is no method to predict the failure of the equipment in the system. [0003] Therefore, the prior art still needs to be improved and improved. Contents of the invention [0004] Aiming at the above-mentioned defects of the prior art, the present invention provides a heterogeneous equipment multi-domain joint fault prediction method, device, terminal and stora...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06Q10/04G06N3/045G06F18/241G06F18/253
Inventor 洪慧君索智鑫伍衡李党王嘉延陆宏治张雨陆慧
Owner GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
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