摘要
The main purpose of predictive maintenance (PdM) is to reduce unscheduled downtime and consequently improve productivity and reduce production cost. PdM has been featured as a key theme of Industry 4.0. However, the traditional PdM system was only designed for a single tool; as such, the resources allocation will become extremely complicated when hundreds of tools are working together in a factory. A manageable hierarchy and various health indexes are required for factory-wide equipment maintenance. To solve the problem mentioned above, this paper proposes a factory-wide intelligent predictive maintenance system by applying the so-called cyber-physical agent and advanced manufacturing cloud of Things to fulfill the requirements of Industry 4.0, the baseline predictive maintenance scheme to accomplish the PdM functions, and the newly proposed health index hierarchy to supervise factory-wide equipment maintenance.
| 原文 | English |
|---|---|
| 頁（從 - 到） | 562-571 |
| 頁數 | 10 |
| 期刊 | Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an |
| 卷 | 40 |
| 發行號 | 7 |
| DOIs | |
| 出版狀態 | Published - 2017 十月 3 |
指紋
All Science Journal Classification (ASJC) codes
- Engineering(all)
引用此文
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Developing a factory-wide intelligent predictive maintenance system based on Industry 4.0. / Chiu, Yu Chen; Cheng, Fan Tien; Huang, Hsien Cheng.
於: Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an, 卷 40, 編號 7, 03.10.2017, p. 562-571.研究成果: Article
TY - JOUR
T1 - Developing a factory-wide intelligent predictive maintenance system based on Industry 4.0
AU - Chiu, Yu Chen
AU - Cheng, Fan Tien
AU - Huang, Hsien Cheng
PY - 2017/10/3
Y1 - 2017/10/3
N2 - The main purpose of predictive maintenance (PdM) is to reduce unscheduled downtime and consequently improve productivity and reduce production cost. PdM has been featured as a key theme of Industry 4.0. However, the traditional PdM system was only designed for a single tool; as such, the resources allocation will become extremely complicated when hundreds of tools are working together in a factory. A manageable hierarchy and various health indexes are required for factory-wide equipment maintenance. To solve the problem mentioned above, this paper proposes a factory-wide intelligent predictive maintenance system by applying the so-called cyber-physical agent and advanced manufacturing cloud of Things to fulfill the requirements of Industry 4.0, the baseline predictive maintenance scheme to accomplish the PdM functions, and the newly proposed health index hierarchy to supervise factory-wide equipment maintenance.
AB - The main purpose of predictive maintenance (PdM) is to reduce unscheduled downtime and consequently improve productivity and reduce production cost. PdM has been featured as a key theme of Industry 4.0. However, the traditional PdM system was only designed for a single tool; as such, the resources allocation will become extremely complicated when hundreds of tools are working together in a factory. A manageable hierarchy and various health indexes are required for factory-wide equipment maintenance. To solve the problem mentioned above, this paper proposes a factory-wide intelligent predictive maintenance system by applying the so-called cyber-physical agent and advanced manufacturing cloud of Things to fulfill the requirements of Industry 4.0, the baseline predictive maintenance scheme to accomplish the PdM functions, and the newly proposed health index hierarchy to supervise factory-wide equipment maintenance.
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UR - http://www.scopus.com/inward/citedby.url?scp=85028555499&partnerID=8YFLogxK
U2 - 10.1080/02533839.2017.1362357
DO - 10.1080/02533839.2017.1362357
M3 - Article
AN - SCOPUS:85028555499
VL - 40
SP - 562
EP - 571
JO - Chung-kuo Kung Ch'eng Hsueh K'an/Journal of the Chinese Institute of Engineers
JF - Chung-kuo Kung Ch'eng Hsueh K'an/Journal of the Chinese Institute of Engineers
SN - 0253-3839
IS - 7
ER -