Research Article
Predictive Maintenance of Computerized Numerical Control Machine using IoT and Neural Networks
@INPROCEEDINGS{10.4108/eai.16-4-2022.2318051, author={Kashish Madan and Jatin Sainani and Ayush Goyal and Tarang Goel}, title={Predictive Maintenance of Computerized Numerical Control Machine using IoT and Neural Networks}, proceedings={Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India}, publisher={EAI}, proceedings_a={THEETAS}, year={2022}, month={6}, keywords={machine learning prediction analysis internet of things neural networks}, doi={10.4108/eai.16-4-2022.2318051} }- Kashish Madan
Jatin Sainani
Ayush Goyal
Tarang Goel
Year: 2022
Predictive Maintenance of Computerized Numerical Control Machine using IoT and Neural Networks
THEETAS
EAI
DOI: 10.4108/eai.16-4-2022.2318051
Abstract
Failure in machines can result in a production halt in manufacturing industries, resulting in delayed customer orders. Regular and scheduled maintenance helps keep the machine's condition intact and increases its lifespan. However, failures can happen even before the scheduled maintenance date resulting in an unexpected breakdown and halt in production activities. Predictive maintenance is a way to continuously monitor the machine's condition and detect potential failures in advance. The idea is to predict the machine's failure, notify the staff in advance for timely maintenance, and prevent losses. The project aims to create a prototype that will allow employees to monitor the machine's health and predict any failure expected before the scheduled maintenance date.