Live demonstration : autoencoder-based predictive maintenance for IoT

This live demo aims to show the performance of a two-layer neural network applied to predictive maintenance. The first layer encodes features based on prior knowledge, while the second layer is trained online to detect anomalies. The system is implemented on an FPGA, acquiring real-time data from se...

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Main Authors:	Gopalakrishnan, Pradeep Kumar, Kar, Bapi, Bose, Sumon Kumar, Roy, Mohendra, Basu, Arindam
Other Authors:	School of Electrical and Electronic Engineering
Format:	Conference or Workshop Item
Language:	English
Published:	2020
Subjects:	Engineering::Electrical and electronic engineering Predictive Maintenance IoT
Online Access:	https://hdl.handle.net/10356/138250
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-1382502020-06-25T12:19:14Z Live demonstration : autoencoder-based predictive maintenance for IoT Gopalakrishnan, Pradeep Kumar Kar, Bapi Bose, Sumon Kumar Roy, Mohendra Basu, Arindam School of Electrical and Electronic Engineering 2019 IEEE International Symposium on Circuits and Systems (ISCAS) Engineering::Electrical and electronic engineering Predictive Maintenance IoT This live demo aims to show the performance of a two-layer neural network applied to predictive maintenance. The first layer encodes features based on prior knowledge, while the second layer is trained online to detect anomalies. The system is implemented on an FPGA, acquiring real-time data from sensors attached to a motor. Faults can be triggered artificially in real-time to demonstrate anomaly detection. NRF (Natl Research Foundation, S’pore) Accepted version 2020-04-29T09:17:30Z 2020-04-29T09:17:30Z 2019 Conference Paper Gopalakrishnan, P. K., Kar, B., Bose, S. K., Roy, M., & Basu, A. (2019). Live demonstration : autoencoder-based predictive maintenance for IoT. Proceedings of the 2019 IEEE International Symposium on Circuits and Systems (ISCAS). doi:10.1109/iscas.2019.8702230 9781728103976 https://hdl.handle.net/10356/138250 10.1109/ISCAS.2019.8702230 2-s2.0-85066783725 en © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ISCAS.2019.8702230 application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	Engineering::Electrical and electronic engineering Predictive Maintenance IoT
spellingShingle	Engineering::Electrical and electronic engineering Predictive Maintenance IoT Gopalakrishnan, Pradeep Kumar Kar, Bapi Bose, Sumon Kumar Roy, Mohendra Basu, Arindam Live demonstration : autoencoder-based predictive maintenance for IoT
description	This live demo aims to show the performance of a two-layer neural network applied to predictive maintenance. The first layer encodes features based on prior knowledge, while the second layer is trained online to detect anomalies. The system is implemented on an FPGA, acquiring real-time data from sensors attached to a motor. Faults can be triggered artificially in real-time to demonstrate anomaly detection.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Gopalakrishnan, Pradeep Kumar Kar, Bapi Bose, Sumon Kumar Roy, Mohendra Basu, Arindam
format	Conference or Workshop Item
author	Gopalakrishnan, Pradeep Kumar Kar, Bapi Bose, Sumon Kumar Roy, Mohendra Basu, Arindam
author_sort	Gopalakrishnan, Pradeep Kumar
title	Live demonstration : autoencoder-based predictive maintenance for IoT
title_short	Live demonstration : autoencoder-based predictive maintenance for IoT
title_full	Live demonstration : autoencoder-based predictive maintenance for IoT
title_fullStr	Live demonstration : autoencoder-based predictive maintenance for IoT
title_full_unstemmed	Live demonstration : autoencoder-based predictive maintenance for IoT
title_sort	live demonstration : autoencoder-based predictive maintenance for iot
publishDate	2020
url	https://hdl.handle.net/10356/138250
_version_	1681056941486374912

Live demonstration : autoencoder-based predictive maintenance for IoT

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