Model-based Life Cycle Management Using Deterioration Simulation

被引：0

作者：

Yoshida, Kazunori ^{[1
]}

Hiruta, Tomoaki ^{[1
,2
]}

Kishita, Yusuke ^{[1
]}

Umeda, Yasushi ^{[1
]}

机构：

[1] Univ Tokyo, Sch Engn, Dept Precis Engn, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1138656, Japan

[2] Hitachi Ltd, Res & Dev Grp, Ctr Technol Innovat Controls, 7-1-1 Omika Cho, Hitachi, Ibaraki 3191292, Japan

来源：

26TH CIRP CONFERENCE ON LIFE CYCLE ENGINEERING (LCE) | 2019年 / 80卷

关键词：

Model Based Diagnosis; Maintenance; Life Cycle Management; Deterioration Simulation; Deterioration;

D O I：

10.1016/j.procir.2019.01.098

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

An essential mission of life cycle management (LCM) is to manage the life time of a target system by understanding its states. Since LCM is becoming digitalized and various data throughout a product life cycle can be collected, a data-driven approach such as machine learning has been used. However, a data-driven approach has some drawbacks: a large volume of required data and so called "black box" problem of reasoning results. This paper proposes a model-based approach for condition-based maintenance, where deterioration simulation is executed. The deterioration simulation enables to examine all possible state changes when each part is deteriorated. (C) 2019 The Authors. Published by Elsevier B.V.

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收藏

页码：500 / 505

页数：6

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