工具機具殘餘使用壽命預測系統及其方法

專利類型

發明

專利國別 (專利申請國家)

中華民國

專利申請案號

106118751

專利證號

I 639907

專利獲證名稱

工具機具殘餘使用壽命預測系統及其方法

專利所屬機關 (申請機關)

國立彰化師範大學

獲證日期

2018/11/01

技術說明

首先，藉由CCD視覺辨識系統所感測到的影像資料轉成位移資料，處理資料後觀察數據的趨勢找出一些特徵，例如觀測期間觀測點之間的位置偏移方向及大小，以作為選擇最佳失效預測模型的重要參考。根據數據觀測的結果，導入一隨機維納過程模型(或是其他隨機過程模型如珈瑪過程)，求出模型參數後實施有誤差控制的蒙地卡羅模擬，找出在所設定的失效門檻上之最佳失效分佈，預測標的物(機械手臂)取放料時所產生的位置偏移失效的平均時間點或循環數。 First of all, the image data were transferred into displacement-typed data detected by the CCD visual recognition system. The data were observed to find out some features, such as the direction and quantities of the position shift between the position points during the observation period since it is the significant reference for implying a proper failure prediction model. According to the results of the observation, a stochastic Wiener process model (or other stochastic process model, such as Gamma process) is introduced. The Monte Carlo simulation associated with error control is carried out after the parameters of the stochastic process model are obtained. Then, a fit distribution at the failure threshold was obtained by the M-C simulation. The MTTF (Mean Time to Failure) or number of cycles of the failure was predicted.

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