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).

Machine learningKnowledge representationPlanningG06N 7/00G05B 23/024G05B 23/0283G06F 17/10G06F 17/18

AI classification

Planning1.00
Machine learning1.00
Knowledge representation0.93
Vision0.22
Evolutionary computation0.21
AI hardware0.14
Natural language0.04
Speech0.00

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.

From the same owner

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