A New Multisensor Data‐Level Fusion Method for Deep Learning–Based Fault Diagnosis of Rotating Machines: Considering Varying Sampling Frequencies and Different Sensor Mounting Directions in Vibration Signal Analysis

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Detalles Bibliográficos
Publicado en:	International Journal of Rotating Machinery vol. 2025, no. 1 (2025)
Autor principal:	Kibrete, Fasikaw
Otros Autores:	Woldemichael, Dereje Engida, Gebremedhen, Hailu Shimels
Publicado:	John Wiley & Sons, Inc.
Materias:	Accuracy Signal analysis Deep learning Fault diagnosis Data acquisition Vibration monitoring Resampling Artificial neural networks Machinery Neural networks Sensors Rotating machines Vibration analysis Data integration Methods Multisensor fusion Sampling Condition monitoring
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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