Intelligent sensor : machine prognostics on a chip
Failures of vital factory equipment are often the reason for production stoppages and a regular maintenance schedule is required to ensure proper operation of all factory equipment. However, these method of maintenance can be both costly and inefficient. Vibrations are present in all machinery with...
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sg-ntu-dr.10356-402652023-07-07T17:08:41Z Intelligent sensor : machine prognostics on a chip Lim, Teck Yian. Ling Keck Voon School of Electrical and Electronic Engineering A*STAR SIMTech Goh Kiah Mok DRNTU::Engineering::Electrical and electronic engineering::Electronic systems Failures of vital factory equipment are often the reason for production stoppages and a regular maintenance schedule is required to ensure proper operation of all factory equipment. However, these method of maintenance can be both costly and inefficient. Vibrations are present in all machinery with moving parts and it had always been regarded as an indicator of the health and condition of rotating machinery. With advances in technology, what used to be a mechanic's hunch can now be measured and accurately. While sensing technologies and processing methods exist, they are often developed and deployed separately. Fortunately, recent advancements in sensing, signal processing and wireless communication technologies, it becomes possible to deploy sensors in critical areas of interest. This project is a proof-of-concept implementation of intelligent sensor nodes capable of processing and analyzing vibration signals from a MEMS sensor. In addition to implementing signal processing algorithms on the wireless sensor node, special design considerations were also made to allow the wireless sensor node to be reconfigurable and modular. Bachelor of Engineering 2010-06-14T04:20:58Z 2010-06-14T04:20:58Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/40265 en Nanyang Technological University 102 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems Lim, Teck Yian. Intelligent sensor : machine prognostics on a chip |
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Failures of vital factory equipment are often the reason for production stoppages and a regular maintenance schedule is required to ensure proper operation of all factory equipment. However, these method of maintenance can be both costly and inefficient. Vibrations are present in all machinery with moving parts and it had always been regarded as an indicator of the health and condition of rotating machinery. With advances in technology, what used to be a mechanic's hunch can now be measured and accurately. While sensing technologies and processing methods exist, they are often developed and deployed separately. Fortunately, recent advancements in sensing, signal processing and wireless communication technologies, it becomes possible to deploy sensors in critical areas of interest. This project is a proof-of-concept implementation of intelligent sensor nodes capable of processing and analyzing vibration signals from a MEMS sensor. In addition to implementing signal processing algorithms on the wireless sensor node, special design considerations were also made to allow the wireless sensor node to be reconfigurable and modular. |
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Ling Keck Voon |
author_facet |
Ling Keck Voon Lim, Teck Yian. |
format |
Final Year Project |
author |
Lim, Teck Yian. |
author_sort |
Lim, Teck Yian. |
title |
Intelligent sensor : machine prognostics on a chip |
title_short |
Intelligent sensor : machine prognostics on a chip |
title_full |
Intelligent sensor : machine prognostics on a chip |
title_fullStr |
Intelligent sensor : machine prognostics on a chip |
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Intelligent sensor : machine prognostics on a chip |
title_sort |
intelligent sensor : machine prognostics on a chip |
publishDate |
2010 |
url |
http://hdl.handle.net/10356/40265 |
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1772826980467605504 |