The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
A Manufacturing Big Data Solution for Active Preventive Maintenance
Abstract
Industry 4.0 has become more popular due to recent developments in cyber-physical systems, 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 offline 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.
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Cites
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Self-citationInternet of Things and Big Data Analytics for Smart and Connected Communities
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State-of-the-Art Predictive Maintenance Techniques*
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Self-citationXu, Z., Chen, L., Chen, C., & Guan, X. (2015) · IEEE Internet of Things Journal · doi:10.1109/jiot.2015.2482363 · Cited by 140
An Unlicensed Taxi Identification Model Based on Big Data Analysis
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Cited by
Digital twin and big data towards smart manufacturing and Industry 4.0: 360 degree comparison
Qi, Q., & Tao, F. (2018) · IEEE Access · doi:10.1109/access.2018.2793265 · Cited by 1,716
Disease Prediction by Machine Learning Over Big Data From Healthcare Communities
Chen, M., Hao, Y., Hwang, K., Wang, L., & Wang, L. (2017) · IEEE Access · doi:10.1109/access.2017.2694446 · Cited by 1,311
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
Çınar, Z. M., Abdussalam Nuhu, A., Zeeshan, Q., Korhan, O., Asmael, M., & Safaei, B. (2020) · Sustainability · doi:10.3390/su12198211 · Cited by 834
Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey
Zhang, W., Yang, D., & Wang, H. (2019) · IEEE Systems Journal · doi:10.1109/jsyst.2019.2905565 · Cited by 732
Machine Learning for industrial applications: A comprehensive literature review
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Metadata
- Authors
- Wan, J., Tang, S., Li, D., Wang, S., Liu, C., Abbas, H., & Vasilakos, A. V.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2017-08
- Volume
- 13
- Issue
- 4
- Pages
- 2039-2047
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2588941434
- Cited by
- 441
- References
- 15
- FWCI
- 59.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wan, J., Tang, S., Li, D., Wang, S., Liu, C., Abbas, H., & Vasilakos, A. V. (2017). A Manufacturing Big Data Solution for Active Preventive Maintenance. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2017.2670505
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