The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment
Open accessAbstract
The recently emerged methodologies for interconnected systems such as cyber-physical systems are focused to closely monitor the information and synchronize it between the physical connected systems and cyber computational space. Depending on the physical system being monitored, the approach for designing and implementing the framework for interconnect systems might differ. In manufacturing industry, utilizing advanced analytics over a systematic deployment of cyber-physical system provides network of machines with ability to perform more efficiently, collaboratively and resiliently. Such transformation can takes the manufacturing industry into the next level of evolution namely called Industry 4.0. In this paper, a unified framework for integrating CPS in manufacturing is presented. Then an adaptive clustering method as an advanced analytical method for interconnected systems will be described and at the end of the paper a case study of self-aware machines by CPS integration is presented.
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Citations
Cites
Recent advances and trends in predictive manufacturing systems in big data environment
Lee, J., Lapira, E., Bagheri, B., & Kao, H.-A. (2013) · Manufacturing Letters · doi:10.1016/j.mfglet.2013.09.005 · Cited by 1,090
Self-citationImproving Machine Tool Interoperability Using Standardized Interface Protocols: MT Connect
Vijayaraghavan, A., Sobel, W., Fox, A., Dornfeld, D. A., & Warndorf, P. (2008) · eScholarship (California Digital Library) · Cited by 104
Cited by
Industry 4.0: A survey on technologies, applications and open research issues
Lu, Y. (2017) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2017.04.005 · Cited by 3,012
Literature review of Industry 4.0 and related technologies
Oztemel, E., & Gursev, S. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-018-1433-8 · Cited by 2,143
Vaidya, S., Ambad, P., & Bhosle, S. (2018) · Procedia Manufacturing · doi:10.1016/j.promfg.2018.02.034 · Cited by 1,352
The industrial management of SMEs in the era of Industry 4.0
Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., & Barbaray, R. (2018) · International Journal of Production Research · doi:10.1080/00207543.2017.1372647 · Cited by 1,188
The digitization of agricultural industry – a systematic literature review on agriculture 4.0
Abbasi, R., Martinez, P., & Ahmad, R. (2022) · Smart Agricultural Technology · doi:10.1016/j.atech.2022.100042 · Cited by 531
Metadata
- Authors
- Bagheri, B., Yang, S., Kao, H.-A., & Lee, J.
- Venue
- IFAC-PapersOnLine
- Publisher
- Elsevier BV
- Published
- 2015
- Volume
- 48
- Issue
- 3
- Pages
- 1622-1627
- ISSN
- 2405-8963 (ISSN-L)
- OpenAlex
- W2262056676
- Cited by
- 361
- References
- 2
- FWCI
- 31.63
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Bagheri, B., Yang, S., Kao, H.-A., & Lee, J. (2015). Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment. IFAC-PapersOnLine. https://doi.org/10.1016/j.ifacol.2015.06.318
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
