Author:
Singh Ishwar,Hodgins Sean,Gadhrri Anoop,Schmidt Reiner
Abstract
IoT, IIoT and Industry 4.0 technologies are leading the way for digital transformation in manufacturing, healthcare, transportation, energy, retail, cities, supply chain, agriculture, buildings, and other sectors. Machine health monitoring and predictive maintenance of rotating machines is an innovative IIoT use case in the manufacturing and energy sectors. This chapter covers how machine health monitoring can be implemented using advanced sensor technology as a basis for predictive maintenance in rotating devices. It also covers how sensor data can be collected from the devices at the edge, preprocessed in a microcontroller/edge node, and sent to the cloud or local server for advanced data intelligence. In addition, this chapter describes the design and operation of three innovative models for education and training supporting the accelerated adoption of these technologies in industry sectors.
Reference23 articles.
1. Dalzochio, J. et al, Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges, Computers in Industry, Volume 123, December 2020, 103298, doi:10.1016/j.compind.2020.103298
2. Gohel, H.A. et.al, Predictive maintenance architecture development for nuclear infrastructure using machine learning, Nuclear Engineering and Technology, Volume 52, Issue 7,2020, Pages 1436-1442, https://doi.org/10.1016/j.net.2019.12.029
3. Daniyan, I. et.al. ,Artificial intelligence for predictive maintenance in the railcar learning factories, Procedia Manufacturing, Volume 45,2020,Pages 13-18, https://doi.org/10.1016/j.promfg.2020.04.032
4. Einarson, G., How to Detect Pump Valve Failures in Positive Displacement Pumps: Case Study, 2021, https://reliabilityweb.com/articles/entry/how-to-detect-pump-valve-failures-in-positive-displacement-pumps-case-study
5. Khanh, Nguyen & Medjaher, Kamal. (2019). A new dynamic predictive maintenance framework using deep learning for failure prognostics. Reliability Engineering & System Safety. 188. 10.1016/j.ress.2019.03.018
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Implementation and Health Monitoring System of Vehicle by using IoT and Cloud Computing;2022 6th International Conference on Electronics, Communication and Aerospace Technology;2022-12-01