Machine learning for machine health monitoring in IoT

Maintenance has always been an integral part of today’s world. Constant breakage of machines with subsequent repairs have proven to be a huge toll economically. The evolution of maintenance has been present since many decades ago. Preventive maintenance for machines has been practiced till today....

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Bibliographic Details
Main Author: Chen, Wei Jie
Other Authors: Arindam Basu
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/76359
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Institution: Nanyang Technological University
Language: English
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Summary:Maintenance has always been an integral part of today’s world. Constant breakage of machines with subsequent repairs have proven to be a huge toll economically. The evolution of maintenance has been present since many decades ago. Preventive maintenance for machines has been practiced till today. It is fairly successful but costly with regular maintenance to check for defects in the machine. With the advancement of technology, it is prudent to investigate newer ways of maintenance such as predictive maintenance where external systems are able to predict if the machine is going to be defective or not. The project will combine machine learning with the specifications of the machines, and incorporate it into a system which can instantaneously predict the health of the machines.