Systematic Literature Review on Industry Revolution 4.0 to Predict Maintenance and Life Time of Machines in Manufacturing Industry
- Title
- Systematic Literature Review on Industry Revolution 4.0 to Predict Maintenance and Life Time of Machines in Manufacturing Industry
- Creator
- Sowmya P.; Ravichandran S.K.; Rakshitha
- Description
- Industry 4.0 is digitized revolution for manufacturers or companies where in new technologies are imbibed into their production system for their day-to-day operations or activities. So that their overall economic needs and efficiency can be improved. In manufacturing industry maintenance of the equipment is the key concern. When the equipment requires maintenance, it has to be done at the earliest, failing which companies will have to face consequences in terms of loss of customers, time and money. Solution is provided to this problem in terms of a technique called predictive maintenance. The content of the article focuses on different predictive maintenance strategies, which help manufacturers to forecast if equipment/component will fail so that its maintenance and repair can be scheduled exactly before the component fails. The results will be useful for manufacturers to understand the importance of industry 4.0 for predictive maintenance. 2023 IEEE.
- Source
- Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2023, pp. 194-199.
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Artificial Intelligence; CBM; Industry 4.0; PHM; Predictive maintenance
- Coverage
- Sowmya P., Nmam Institute of Technology-Affiliated to NITTE(Deemed to Be University), Department of Robotics and Artificial Intelligence, Karnataka, Nitte, India; Ravichandran S.K., Christ University, School of Engineering and Technology, Department of Computer Science, Karnataka, Bangalore, India; Rakshitha, Nmam Institute of Technology-Affiliated to NITTE(Deemed to Be University), Department of Artificial Intelligence and Machine Learning, Karnataka, Nitte, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-166546216-7
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Sowmya P.; Ravichandran S.K.; Rakshitha, “Systematic Literature Review on Industry Revolution 4.0 to Predict Maintenance and Life Time of Machines in Manufacturing Industry,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 28, 2025, https://archives.christuniversity.in/items/show/20003.