Industrial IoT based iLens Condition Monitoring System for Bearing Performance in Terms of only Temperature Parameter


Authors : AVIJIT BHOWMICK

Volume/Issue : Volume 6 - 2021, Issue 4 - April

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3ngpWaS

The Internet of Things (IoT) concept facilitates our life in many areas. One of the facilities provided in this area is undoubtedly condition monitoring. Unlike regular maintenance, IoT systems that perform continuous control operations can provide great advantages to the company with a warning that a serious failure will occur. It is a vital importance to determine defective bearings during the rotation of the power generating and power consuming machines without reaching the critical level. In this study, a setup was created, in two bearings (Driving end and non-driving end) of a coal screening machine and a Condition Monitoring (CM) was performed in the industry environment which could monitor temperature for defective bearing detection. Challenges: We cannot monitor vibration and acoustic parameter because of huge fluctuating vibration and noise of the coal screening machine. Also, we cannot use contactless/infrared temperature sensors due to full of dusty environmental air

Keywords : Internet of Things, Condition Monitoring, Machine Learning, Bearing, Coal screening, iLens.

CALL FOR PAPERS


Paper Submission Last Date
28 - February - 2023

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe