Investigation on Data-Driven Life Prediction Methods

被引：0
作者：
Yang, Shuai [1 ]
Liu, Chaoqin [1 ]
Zhou, Xue [1 ]
Liang, Wei [1 ]
Miao, Qiang [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Mech Elect & Ind Engn, Chengdu 611731, Sichuan, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (ICQR2MSE) | 2012年
关键词：
life prediction; accelerated life testing; NEURAL-NETWORKS; RESIDUAL LIFE; RELIABILITY; ALGORITHM; TUTORIAL; MODEL;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The theory of life prediction is the key foundation of the safety service of electromechanical device, and it is also an important aspect of modern mechanical design and manufacturing. Life prediction for major mechanical equipment has great significance for economic development and defense construction. This paper aims at the investigation of characteristics and applications of electromechanical device life prediction techniques. It summarizes the current progress of life prediction based on data-driven methods. The challenges of electromechanical device life prediction include theoretic models, experimental validation, data accumulation. It provides a possible direction for further research on life forecasting method.
引用
收藏
页码：674 / 680
页数：7
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