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...

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主要な著者:	Hao-Pu Lin, Yuan-Chieh Chen, Chin-Chuan Han, Yu-Chi Wu, Jin-Yuan Lin
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-03-01
シリーズ:	Sensors
主題:	intelligence system vibration data Internet of Things (IoT) deep learning inertial measurement unit (IMU) mean square error
オンライン･アクセス:	https://www.mdpi.com/1424-8220/25/7/2143
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