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Hard disk fault prediction model interpretation method and device

A prediction model and technology for hard disk failure, applied in the field of hard disk failure prediction model interpretation, to achieve the effect of enhancing interpretability

Pending Publication Date: 2020-10-02
SUZHOU LANGCHAO INTELLIGENT TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As a model interpretation development package, SHAP only provides general basic model interpretation functions, and does not specifically optimize the hard disk failure prediction domain model.

Method used

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  • Hard disk fault prediction model interpretation method and device
  • Hard disk fault prediction model interpretation method and device
  • Hard disk fault prediction model interpretation method and device

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Embodiment 1

[0056] This embodiment provides a hard disk fault prediction model interpretation method. In the data preprocessing stage, various SMART features related to hard disk faults are subjected to time series feature extraction. With the help of the model interpretation program package SHAP, the trained model and prediction results are imported. And each extracted feature is explained, and the contribution of each feature is output. The contribution of each extracted feature (negative infinity-positive infinity) is combined and summed according to the original features, and converted into each feature score (between 0-100) through the sigma function. Finally, the top N features are selected for visual presentation.

[0057] Such as figure 1 As shown, this embodiment includes the following steps:

[0058] S1, the real-time monitoring data of the hard disk will be input into the trained prediction model for prediction;

[0059] S2, if the prediction result shows that the hard disk ...

Embodiment 2

[0092] Such as image 3 As shown, based on the first embodiment, this embodiment provides a device for interpreting a hard disk failure prediction model, which includes the following functional modules.

[0093] Model prediction module 101: input the trained prediction model to the real-time monitoring data of the hard disk for prediction;

[0094] Model interpretation module 102: if the prediction result shows that the hard disk is a risk disk, then the prediction result is loaded into the SHA P package for model interpretation;

[0095] Interpretation result display module 103: display the model interpretation result.

[0096] Wherein, the model prediction module 101 performs data preprocessing on the real-time detection data of the hard disk before inputting the real-time monitoring data of the hard disk into the trained prediction model for prediction.

[0097] For model prediction, the prediction model needs to be trained in advance. Therefore, the device also sets:

...

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Abstract

The invention discloses a hard disk fault prediction model interpretation method and device. Real-time monitoring data of a hard disk is input into a trained prediction model for prediction; if the prediction result shows that the hard disk is a risk disk, the prediction result is loaded into an SHAP packet for model interpretation; and a model interpretation result is displayed.The model prediction result of the risk disk is loaded into the SHAP packet for model interpretation, and an interpretation result is obtained and displayed. During interpretation, through SHAP analysis, feature contribution degree combination and score conversion, the interpretability of the model is enhanced, and more intuitive reference is provided for further decision making of a system administrator.

Description

technical field [0001] The invention relates to the field of fault interpretation, in particular to a hard disk fault prediction model interpretation method and device. Background technique [0002] In large-scale data centers, the use of hard disks has reached the level of millions. The frequent occurrence of disk failures will lead to a decline in the stability and reliability of servers and even the entire IT infrastructure, which will ultimately have a negative impact on business SLAs. Therefore, industry and academia have carried out a lot of work related to hard disk failure prediction. The most important method is to use machine learning for model training and apply the model to online prediction. [0003] As a data scientist, you need to prevent bias in the model and help decision makers understand how to use the model correctly. The more rigorous the scene, the more the model needs to provide evidence to prove how they work and avoid mistakes, so explainable mach...

Claims

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Application Information

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IPC IPC(8): G06F11/22
CPCG06F11/2221G06F11/2273
Inventor 梁鑫辉王团结
Owner SUZHOU LANGCHAO INTELLIGENT TECH CO LTD
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