Title :
Investigation on data-driven life prediction methods
Author :
Yang, Shuai ; Liu, Chaoqin ; Zhou, Xue ; Liang, Wei ; Miao, Qiang
Author_Institution :
Sch. of Mech., Electron. & Ind. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
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.
Keywords :
design engineering; forecasting theory; remaining life assessment; data accumulation; data-driven life prediction methods; data-driven methods; defense construction; economic development; electromechanical device life prediction techniques; experimental validation; life forecasting method; mechanical equipment; mechanical manufacturing; modern mechanical design; safety service; theoretic models; Forecasting; Neural networks; Predictive models; Support vector machines; Time series analysis; Weibull distribution; accelerated life testing; life prediction;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0786-4
DOI :
10.1109/ICQR2MSE.2012.6246322
