Internet of Things Based Maintenance Management System for Industrial Equipments
Creators
- 1. Department of Mechanical Engineering, Haldia Institute of Technology, Haldia, West Bengal
Description
Conservation and sound operating artificial outfit are critical for any manufacturing company. Standardization of the maintenance infrastructure and establishment of a systematic maintenance program is essential for the process. However condition monitoring must also be a part of smart manufacturing program that seeks to improve the operational efficiency of a production system. The internet of things refers the billions of physical devices around the world connected to the internet which collects and shares the data. This paper presents a hint of an internet of things based predictive maintenance management system for industrial equipments.
Files
Internet of Things Based Maintenance.pdf
Files
(332.5 kB)
Name | Size | Download all |
---|---|---|
md5:3bac54aa3ec4126b7ac96b232b0f8e65
|
332.5 kB | Preview Download |
Additional details
References
- 1. Alam, T. (2018). A reliable communication framework and its use in internet of things (IoT). CSEIT1835111| Received, 10, 450-456.
- Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of things: A survey on enabling technologies, protocols, and applications. IEEE communications surveys & tutorials, 17(4), 2347-2376.
- Atzori, L., Iera, A., & Morabito, G. (2017). Understanding the Internet of Things: definition, potentials, and societal role of a fast evolving paradigm. Ad Hoc Networks, 56, 122-140.
- da Costa, K. A., Papa, J. P., Lisboa, C. O., Munoz, R., & de Albuquerque, V. H. C. (2019). Internet of Things: A survey on machine learning-based intrusion detection approaches. Computer Networks, 151, 147-157.
- Dunne, T. (1994). Plant age and technology use in US manufacturing industries. The RAND Journal of Economics, 488-499.
- Lambson, V. E. (1991). Industry evolution with sunk costs and uncertain market conditions. International Journal of Industrial Organization, 9(2), 171-196.
- Garrison, W. G. (1986). One Hundred Largest Losses—A Thirty-Year Review of Property Damage Losses in the Hydrocarbon. Chemical Industries, 9th ed., M & M Protection Consultants, Chicago, Ill., USA.
- Carson, P. A., & Mumford, C. J. (1979). An analysis of incidents involving major hazards in the chemical industry. Journal of Hazardous materials, 3(2), 149-165.
- McInerny, S. A., & Dai, Y. (2003). Basic vibration signal processing for bearing fault detection. IEEE Transactions on education, 46(1), 149-156.
- Nandi, S., Toliyat, H. A., & Li, X. (2005). Condition monitoring and fault diagnosis of electrical motors—A review. IEEE transactions on energy conversion, 20(4), 719-729.