On-Device IoT-Based Predictive Maintenance Analytics Model: Comparing TinyLSTM and TinyModel from Edge Impulse

A precise prediction of the health status of industrial equipment is of significant importance to determine its reliability and lifespan. This prediction provides users information that is useful in determining when to service, repair, or replace the unhealthy equipment’s components. In the last dec...

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Bibliographic Details
Main Authors: Irene Niyonambaza Mihigo, Marco Zennaro, Alfred Uwitonze, James Rwigema, Marcelo Rovai
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/14/5174