Jesu Narkarunai Arasu, Malaiyappan and Gowrisankar, Krishnamoorthy and Suhas, Jangoan (2024) Predictive Maintenance using Machine Learning in Industrial IoT. International Journal of Innovative Science and Research Technology, 9 (3). pp. 1909-1915. ISSN 2456-2165
![[thumbnail of PredictiveMaintenanceusingMachineLearninginIndustrialIoT.pdf]](https://tudr.org/style/images/fileicons/text.png)
Text
PredictiveMaintenanceusingMachineLearninginIndustrialIoT.pdf - Published Version
Download (388kB)
Abstract
The use of predictive maintenance Machine learning techniques aid systems or machines in lowering the occurrence of certain types of machine failures via prediction and the use of specific methods. An essential tactic for improving the efficiency and reliability of industrial equipment and optimizing maintenance operations is predictive maintenance (PdM). Machine learning-based predictive maintenance helps businesses reduce unscheduled downtime, maintenance expenses, and operational efficiency by identifying and fixing potential equipment issues in advance.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Machine Learning, Jupiter, Proactive, Nonintrusive, Vibration, and Predictive Maintenance |
| Subjects: | T Technology > T Technology (General) |
| Depositing User: | Mr. Rahul Ranjan |
| Date Deposited: | 19 Sep 2024 14:24 |
| Last Modified: | 19 Sep 2024 14:24 |
| URI: | https://tudr.org/id/eprint/3257 |
Actions (login required)
- View Item
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)