Sökning: id:"swepub:oai:DiVA.org:ltu-64511" >
A Manufacturing Big...
A Manufacturing Big Data Solution for Active Preventive Maintenance
-
- Wan, Jiafu (författare)
- Guangdong Provincial Key Laboratory of Precision Equipment and Manufacturing Technology, South China University of Technology
-
- Tang, Shenglong (författare)
- School of Mechanical and Automotive Engineering, South China University of Technology
-
- Li, Di (författare)
- School of Mechanical and Automotive Engineering, South China University of Technology
-
visa fler...
-
- Wang, Shiyong (författare)
- School of Mechanical and Automotive Engineering, South China University of Technology
-
- Liu, Chengliang (författare)
- School of Mechanical Engineering, Shanghai Jiao Tong University
-
- Abbas, Haider (författare)
- Center of Excellence in Information Assurance, King Saud University
-
- Vasilakos, Athanasios V. (författare)
- Luleå tekniska universitet,Datavetenskap
-
visa färre...
-
(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2017
- 2017
- Engelska.
-
Ingår i: IEEE Transactions on Industrial Informatics. - : Institute of Electrical and Electronics Engineers (IEEE). - 1551-3203 .- 1941-0050. ; 13:4, s. 2039-2047
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Industry 4.0 has become more popular due to recent developments in Cyber-Physical Systems (CPS), big data, cloud computing, and industrial wireless networks. Intelligent manufacturing has produced a revolutionary change, and evolving applications such as product lifecycle management are becoming a reality. In this paper, we propose and implement a manufacturing big data solution for active preventive maintenance in manufacturing environments. First, we provide the system architecture that is used for active preventive maintenance. Then, we analyze the method used for collection of manufacturing big data according to the data characteristics. Subsequently, we perform data processing in the cloud, including the cloud layer architecture, the real-time active maintenance mechanism, and the off-line prediction and analysis method. Finally, we analyze a prototype platform and implement experiments to compare the traditionally-used method with the proposed active preventive maintenance method. The manufacturing big data method used for active preventive maintenance has the potential to accelerate implementation of Industry 4.0.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Medieteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Media and Communication Technology (hsv//eng)
Nyckelord
- Mobile and Pervasive Computing
- Distribuerade datorsystem
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas