A Neural Network Application for Reliability Modeling and Condition-Based Predictive Maintenance

淡江大學機構典藏 > 商管學院 > 管理科學學系暨研究所 > 期刊論文 > Item 987654321/65058

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題名:	A Neural Network Application for Reliability Modeling and Condition-Based Predictive Maintenance
作者:	Lin, Chang-ching;Tseng, Hsien-yu
貢獻者:	淡江大學經營決策學系
關鍵詞:	Cerebellar model articulation controller;Neural network;Predictive maintenance;Weibull proportional hazards model
日期:	2005-01
上傳時間:	2011-10-20 16:31:59 (UTC+8)
摘要:	Traditionally, decisions on the use of machinery are based on previous experience, historical data and common sense. However, carrying out an effective predictive maintenance plan, information about current machine conditions must be made known to the decision-maker. In this paper, a new method of obtaining maintenance information has been proposed. By integrating traditional reliability modelling techniques with a real-time, online performance estimation model, machine reliability information such as hazard rate and mean time between failures can be calculated. Essentially, this paper presents an innovative method to synthesise low level information (such as vibration signals) with high level information (like reliability statistics) to form a rigorous theoretical base for better machine maintenance.
關聯:	The International Journal of Advanced Manufacturing Technology 25(1-2), pp.174-179
DOI:	10.1007/s00170-003-1835-3
顯示於類別:	[管理科學學系暨研究所] 期刊論文

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