| 摘要 |
<p>A baseline predictive maintenance method for a target device (TD) and a recording medium storing a computer program for executing the method are provided. Fresh samples generated when the TD produces workpieces just after maintenance are collected, and a new workpiece sample generated when the TD produces a new workpiece is collected. A plurality of modeling samples is used to build a TD baseline model in accordance with a conjecturing algorithm, wherein the modeling samples include the new workpiece sample and the fresh samples. A TD healthy baseline value for the new workpiece is computed by the TD baseline model, and a device health index (DHI), a baseline error index (BEI), and baseline individual similarity indices (ISI_B) are computed, thereby achieving the goals of fault detection and classification (FDC) and predictive maintenance (PdM). [Reference numerals] (AA) Throttle valve angle; (BB) Sample number</p> |
