Life Time Prediction of an Electromagnet Relay using Clustering based Principal Component Analysis with Hybrid Deep Learning Model

The estimation of the electromagnet relay remaining useful life is highly crucial to maintain reliability and avoid unscheduled breakdowns in various applications. The objective of this research work will be to design a model with much higher precision and efficiency utilizing PCA coupled with a hy...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	T. Maris Murugan, C. Reeda Lenus, S. Sridharan, A. Malligarjun
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) 2024-12-01
Schriftenreihe:	Journal of Applied Engineering and Technological Science
Schlagworte:	Electromagnet Relay Remaining Useful Life Bidirectional Long Short Memory with Bidirectional Gated Recurrent Unit Principal Component Analysis
Online-Zugang:	https://journal.yrpipku.com/index.php/jaets/article/view/5891
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