Predictive maintenance of water purification unit for smart factories

Tsung Yuan Chang, Wei-Ting Cho, Shau Yin Tseng, Yeni Ouyang, Chin Feng Lai

研究成果: Conference contribution

摘要

In recent years, the applications of the smart factory are very popular. Predictive maintenance is one of the issues. Some research achieved the goal of predictive maintenance with Artificial Intelligence (AI). Here we focus on the local scrubber (LSR) system, a water purification and recycling system. This paper proposed a machine learning model to solve predictive maintenance problem. The device learns the pattern of input data through the RNN model and classify the different state of device. We can know the current situation of the device and judge whether it is about to be replaced. As far as we know, this is the first predictive task maintenance in the LSR system and has an accuracy of 84% in the datasets of different years. The smart factory will come true while the LSR system can be reduce cost, manpower, time and money with predictive maintenance.

原文English
主出版物標題Cognitive Cities - 2nd International Conference, IC3 2019, Revised Selected Papers
編輯Jian Shen, Yao-Chung Chang, Yu-Sheng Su, Hiroaki Ogata
發行者Springer
頁面62-70
頁數9
ISBN(列印)9789811561122
DOIs
出版狀態Published - 2020
事件2nd International Cognitive Cities Conference, IC3 2019 - Kyoto, Japan
持續時間: 2019 九月 32019 九月 6

出版系列

名字Communications in Computer and Information Science
1227 CCIS
ISSN(列印)1865-0929
ISSN(電子)1865-0937

Conference

Conference2nd International Cognitive Cities Conference, IC3 2019
國家/地區Japan
城市Kyoto
期間19-09-0319-09-06

All Science Journal Classification (ASJC) codes

  • 電腦科學(全部)
  • 數學(全部)

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