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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/65058

    题名: A Neural Network Application for Reliability Modeling and Condition-Based Predictive Maintenance
    作者: Lin, Chang-ching;Tseng, Hsien-yu
    贡献者: 淡江大學經營決策學系
    关键词: Cerebellar model articulation controller;Neural network;Predictive maintenance;Weibull proportional hazards model
    日期: 2005-01
    上传时间: 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
    显示于类别:[管理科學學系暨研究所] 期刊論文


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