A Hard Disk Lifetime Prediction Method Based on Backpropagation Bayesian Deep Learning

Abstract

A hard disk life prediction method based on backpropagation Bayesian deep learning, which optimizes the SMART parameters of the hard disk, screens out SMART parameters with predictive performance, and then performs standardized processing, and then divides the standardized data into sequence samples ; Extract the historical time series information and future time series features of the hard disk; input the historical time series information and future time series features into the linear fully connected layer, and adjust the activation function and learning rate to complete the construction of the remaining life prediction network; generate the remaining life according to the distribution parameters after training The weight parameters and bias parameters of the life prediction network are used to predict the remaining life; the invention integrates the multi-dimensional features of the hard disk, makes full use of the long-term dependence of the hard disk data, extracts the timing information in the hard disk data, and uses the deep learning framework. While achieving high-precision remaining life prediction, quantify the uncertainty of the prediction, and output the prediction confidence with higher guiding significance for hard disk maintenance decisions.

Description

technical field [0001] The invention relates to a method for predicting the life of a hard disk in a data center, in particular to a method for predicting the life of a hard disk based on backpropagation Bayesian deep learning. Background technique [0002] The data center is the core of the modern information system, and the hard disk drive (referred to as the hard disk) is the most important storage carrier for these massive data. status. Once the hard disk is damaged, it will not only cause the loss of important data, but also may cause the entire storage computing system to crash, causing immeasurable property losses to individuals or businesses. Therefore, early warning and troubleshooting of hard disk failures have always been the focus of major data centers. [0003] In recent years, data-driven intelligent prediction algorithms represented by machine learning and deep learning have gradually played a role in the prediction of the remaining life of hard disks. Unli...

AI Technical Summary

Problems solved by technology

[0005] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a life prediction method based on backpropagation Bayesian deep learning, which solves the problem that the general deep learning life prediction method cannot quantify the uncertainty of life prediction The problem

Images