6th North American International Conference on Industrial Engineering and Operations Management

Smart Warning system for the Rotating parts based on Cloud Computing

amr moh, Soumaya Yacout, Eladl Rabeih & Yasser Shaban
Publisher: IEOM Society International
0 Paper Citations
Track: Reliability and Maintenance

New Smart Warning System (SWS) that use to send a warning level report about the machine components failure behavior via distance is proposed in this article. The data were collected from the experimental setup to enhance the maintenance strategies. The new warning system uses the collected data to build a Probability Hazard Model (PHM) that computes the warning level to give the decision- making team the advice about component replacement. The proposed system uses cloud computing technology to connect between the physical world and the remote main hub of SWS which receives the monitored signal to compute the warning level and warning level of the machine element. In this article, a novel SWS is built to reach the near-zero breaks down. Also, the system sends a warning alarm through E-mail to the decision-making team to follow the failure behavior of the monitored parts. In this article, the run to failure data of 8 identical belts is collected from an experimental setup that simulates the operation condition in the real factory. The proposed system gives the industrial processes the time to complete the required tasks with near-zero breaks down. This paper presents a simulation of a new smart monitoring system by using a new methodology in the context of Industry 4.0.  Section building the SWS illustrates the schematics of the proposed system. Finally, current and future smart monitoring systems in Industry 4.0 are discussed.

Published in: 6th North American International Conference on Industrial Engineering and Operations Management, Monterrey, Mexico

Publisher: IEOM Society International
Date of Conference: November 3-5, 2021

ISBN: 978-1-7923-6130-2
ISSN/E-ISSN: 2169-8767