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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Bibliographic Details
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:
IoT
Online Access:https://hdl.handle.net/10356/138250
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Institution: Nanyang Technological University
Language: English