A Tiny Convolutional Neural Network driven by System Identification for Vibration Anomaly Detection at the Extreme Edge-Reference-Cited by-同舟云学术

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A Tiny Convolutional Neural Network driven by System Identification for Vibration Anomaly Detection at the Extreme Edge

Published:2023-07-23 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS)
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Author:

Zonzini Federica¹,Burioli Letizia¹,Gashi Andi¹,Mancini Nicola Francesco¹,De Marchi Luca¹

Affiliation:

1. University of Bologna,DEI - Electrical, Electronic, and Information Engineering,Bologna,Italy,40136

Funder

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10189217/10189193/10189195.pdf?arnumber=10189195

Reference24 articles.

1. Deep Learning Approaches for Robust Time of Arrival Estimation in Acoustic Emission Monitoring

2. Enhancing Vibration-Based Structural Health Monitoring via Edge Computing: A Tiny Machine Learning Perspective

3. Understanding of a convolutional neural network

4. Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation

5. Machine Learning Meets Compressed Sensing in Vibration-Based Monitoring

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