Machine performance monitoring and fault classification using an exponentially weighted moving average scheme
學年 82
學期 1
專利開始日期 1993-12-30
專利結束日期 1993-12-30
作品名稱 Machine performance monitoring and fault classification using an exponentially weighted moving average scheme
作品名稱（其他語言）
著者 林長青; Spoerre, Julie K. ; Wang, Hsu-pin
單位 淡江大學經營決策學系
著錄名稱、卷期、頁數
描述 專利國別：美國 United States Patent: 5,602,761 Application number: 08/176,456 國際分類號：G01H 1/00; G01B 021/00
摘要 The present invention provides an accurate machine monitoring technique based on vibration analysis. An AR parametric model is generated to characterize a normal machine condition. Subsequently, data is collected from a machine during operation. This data is fit to the AR parametric model, and an Exponentially Weighted Moving Average (EWMA) statistic is derived therefrom. The EWMA statistic is able to identify whether the machine is in a normal state ("in control") or in an abnormal state ("out of control"). Additionally, an EWMA control chart is generated that distinguishes between normal and abnormal conditions, and between different abnormal conditions. As a result, once the EWMA statistic is generated, it is compared to the EWMA chart for determination of the specific fault that is ailing the machine.
關鍵字
語言 en
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