A Mold Damage Monitoring Algorithm for Power Metallurgy Molding Machines Using Bidirectional Long Short-Term Memory on an Internet of Things Platform

In this paper, an analysis and monitoring algorithm is proposed for mold health evaluation using vibration data. Two inertial measurement units (IMUs) and an embedded system are first used to acquire vibration data from a powder metallurgy molding machine. These data are collected on an Internet of...

Полное описание

Библиографические подробности

Главные авторы:	Hao-Pu Lin, Yuan-Chieh Chen, Chin-Chuan Han, Yu-Chi Wu, Jin-Yuan Lin
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2025-03-01
Серии:	Sensors
Предметы:	intelligence system vibration data Internet of Things (IoT) deep learning inertial measurement unit (IMU) mean square error
Online-ссылка:	https://www.mdpi.com/1424-8220/25/7/2143
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