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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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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spelling sg-ntu-dr.10356-763592023-07-07T17:32:43Z Machine learning for machine health monitoring in IoT Chen, Wei Jie Arindam Basu School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 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. Bachelor of Engineering (Electrical and Electronic Engineering) 2018-12-20T03:10:38Z 2018-12-20T03:10:38Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/76359 en Nanyang Technological University 51 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Chen, Wei Jie
Machine learning for machine health monitoring in IoT
description 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.
author2 Arindam Basu
author_facet Arindam Basu
Chen, Wei Jie
format Final Year Project
author Chen, Wei Jie
author_sort Chen, Wei Jie
title Machine learning for machine health monitoring in IoT
title_short Machine learning for machine health monitoring in IoT
title_full Machine learning for machine health monitoring in IoT
title_fullStr Machine learning for machine health monitoring in IoT
title_full_unstemmed Machine learning for machine health monitoring in IoT
title_sort machine learning for machine health monitoring in iot
publishDate 2018
url http://hdl.handle.net/10356/76359
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