BASELINE PREDICTIVE MAINTENANCE METHOD FOR TARGET DEVICE AND COMPUTER PROGRAM PRODUCT THEREOF
Patent №
US 10,242,319
Granted
2019-03-26
Filed 2013
Owner
NATIONAL CHENG KUNG UNIVERSITY
Lab
—
AI components
3
ml · kr · planning
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
13845144
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 (ISIB) are computed, thereby achieving the goals of fault detection and classification (FDC) and predictive maintenance (PdM).
AI classification
Ownership
NATIONAL CHENG KUNG UNIVERSITY
assignment · 300810707
Assignors
CHENG, FAN-TIEN, HSIEH, YAO-SHENG, WANG, CHUNG-REN, WANG, SAINT-CHI
On an employer assignment, the assignors are typically the inventors.