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Baseline predictive maintenance method for target device and computer program product thereof

机译:目标设备的基线预测维护方法及其计算机程序产品

摘要

A baseline predictive maintenance method for a target device (TD) and a computer program product thereof are provided. Fresh samples which are generated when the target device produces workpieces just after maintenance are collected, and a new workpiece sample which is generated when the target device produces a new workpiece is collected. A plurality of modeling samples are 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).
机译:提供了一种用于目标设备(TD)的基线预测维护方法及其计算机程序产品。收集在维护之后目标设备生产工件时产生的新鲜样品,并收集目标设备生产新工件时产生的新工件样品。根据推测算法,使用多个建模样本来建立TD基线模型,其中建模样本包括新的工件样本和新鲜的样本。通过TD基线模型计算出新工件的TD健康基线值,并计算出设备健康指数(DHI),基线误差指数(BEI)和基线个体相似性指数(ISI B),从而实现了以下目标:故障检测和分类(FDC)和预测性维护(PdM)。

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