CNN Hardware Accelerator for Real-Time Bearing Fault Diagnosis

CNN Hardware Accelerator for Real-Time Bearing Fault Diagnosis

This paper introduces a one-dimensional convolutional neural network (CNN) hardware accelerator. It is crafted to conduct real-time assessments of bearing conditions using economical hardware components, implemented on a field-programmable gate array evaluation platform, negating the necessity to tr...

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Bibliographic Details
Main Authors: Ching-Che Chung, Yu-Pei Liang, Hong-Jin Jiang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
fault diagnosis
convolution
neural networks
quantization
fixed-point arithmetic
real-time systems
Online Access:https://www.mdpi.com/1424-8220/23/13/5897

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https://www.mdpi.com/1424-8220/23/13/5897

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