PHM model construction method and system, storage medium and electronic equipment

A construction method and model technology, applied in the fields of electrical digital data processing, character and pattern recognition, design optimization/simulation, etc., can solve problems such as inconvenient operation, and achieve the effect of improving convenience

Inactive Publication Date: 2021-12-24
TECH & ENG CENT FOR SPACE UTILIZATION CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is a problem of tight coupling between data and algorithms. When it is necessary to select other algorithms or adjust the parameters of the algorithm, it is inconvenient to operate

Method used

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  • PHM model construction method and system, storage medium and electronic equipment
  • PHM model construction method and system, storage medium and electronic equipment
  • PHM model construction method and system, storage medium and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] Embodiment 1, this embodiment takes the classification algorithm as an example for illustration:

[0051] 1) Obtain the data to be modeled, and import the algorithm parameter setting file;

[0052] 2) Judging whether the data to be modeled adopts a classification algorithm or a regression algorithm. Since the classification algorithm is used as an example in this embodiment, the judgment result is yes;

[0053] 3) Construct the data set with the modeling data through K-Fold, and adjust the algorithm parameters in the algorithm parameter setting file according to the algorithm category;

[0054] 4) Process the data set based on the adjusted algorithm parameter setting file to obtain a classification model.

[0055] In the above process, the equipment monitoring data, that is, the data to be modeled, is mainly time-series data, which is multi-dimensional data including timestamp and feature name (column name). The input and output data of the class are set in table forma...

Embodiment 2

[0056] Embodiment 2, with the machine learning algorithm as the core, carry out PHM model training and testing, and compare the models under different algorithm parameter settings. Design a traceable model comparison mechanism so that users can quickly complete model batch training and batch testing, and save model scores under different parameter settings. In the design of standard algorithms, the problem of algorithm parameter adjustment is considered, and the parameter settings of the current algorithm are managed in the form of an Excel table. Every time the algorithm is called, the Excel table will be automatically read to obtain the corresponding algorithm parameters. The specific process is as follows:

[0057] Prepare an Excel table for setting algorithm parameters, each algorithm corresponds to an Excel file, and the user fills in the algorithm parameters or automatically writes them into the table through the program;

[0058] When executing the algorithm subclass a...

Embodiment 3

[0062] Example 3, users may have different goals for the equipment monitoring data they want to process: they may only need one algorithm to complete the task, such as eliminating wild points in the data, reducing the dimension of the data, or directly performing cluster analysis on the data , and so on; it is also possible that two or more algorithms need to be connected in series to process data, such as dimensionality reduction first and then clustering. In order to facilitate users to flexibly call the algorithms in the algorithm library, a flexible data processing pipeline design is proposed here, and users can flexibly use and configure algorithms. Two programming design modes are mainly used to realize the flexible processing mechanism of monitoring data, namely strategy mode and template mode. Among them, the data processing pipeline developed through the strategy mode is used to deal with the scene of a single algorithm processing data, and the combination of strategy...

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PUM

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Abstract

The invention relates to the field of model construction, in particular to a PHM model construction method and system, a storage medium and electronic equipment. The method comprises the following steps: step 1, collecting to-be-modeled data; 2, an intelligent parameter setting preset sub-process is called to process the to-be-modeled data; and step 3, outputting a processing result as a PHM model. The invention provides a mode of processing data through a standardized process to solve the problem of inconvenient modeling operation. In other words, a user can change the parameters according to requirements, the basic algorithm does not need to be rewritten in the model building process each time to obtain the needed output result, only the algorithm parameters need to be adjusted, then the problem that coupling of data and the algorithm is too tight does not exist, and the effect of improving operation convenience is achieved.

Description

technical field [0001] The invention relates to the field of model building, in particular to a PHM model building method, system, storage medium and electronic equipment. Background technique [0002] In aerospace, aviation, nuclear power, energy, chemical industry, shipbuilding, rail transit and other industrial fields, the failure of industrial facilities and equipment will bring certain economic losses and even lead to serious accidents. Traditional equipment maintenance strategies are generally based on post-event maintenance and regular overhaul. After-event maintenance is difficult to prevent failures, while regular overhaul has the disadvantages of over-maintenance and under-maintenance. With the improvement of the automation level of industrial equipment, more and more sensors are integrated into industrial systems, and industrial monitoring data shows a trend of explosive growth. Carry out intelligent analysis and modeling of equipment monitoring data, perceive an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62G06F16/215
CPCG06F30/27G06F16/215G06F18/23213G06F18/214
Inventor 施建明
Owner TECH & ENG CENT FOR SPACE UTILIZATION CHINESE ACAD OF SCI
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