信息系统故障检测的智能化方法研究  

Research on Intelligent Methods for Information System Fault Detection

作　　者：姜源[1] JIANG Yuan(China University of Metrology,Hangzhou Zhejiang 310000)

机构地区：[1]中国计量大学,浙江杭州310000

出　　处：《软件》2025年第2期83-85,共3页Software

摘　　要：随着信息技术的快速发展,信息系统的稳定性和可靠性变得尤为重要。本研究旨在探索信息系统故障检测的智能化方法,提高故障检测的效率和准确性。通过采用机器学习、深度学习和大数据分析等先进技术,本研究设计了一种智能化的故障检测系统。研究结果表明,与传统方法相比,智能化方法能够在多种情况下更准确地识别和预测信息系统中的潜在故障,具有更好的适应性和实用性。With the rapid development of information technology,the stability and reliability of information systems have become particularly important.This study aims to explore intelligent methods for fault detection in information systems,in order to improve the efficiency and accuracy of fault detection.By adopting advanced technologies such as machine learning,deep learning,and big data analysis,this study designed an intelligent fault detection system.The research results indicate that compared with traditional methods,intelligent methods can more accurately identify and predict potential faults in information systems in various situations,with better adaptability and practicality.

关 键 词：信息系统 故障检测 智能化 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]