Deep-learning-based Turbo Charger Vibration Analysis Utilizing Canny Edge Detection and Convolutional Neural Networks Technique

Author:

Lim Yun-hyeok,Cho Hyung-Ju,Lee Hyeongill

Publisher

The Korean Society for Noise and Vibration Engineering

Subject

Linguistics and Language,Anthropology,History,Language and Linguistics,Cultural Studies

Reference10 articles.

1. Ji, Y. M., Yoo, J. J. and Lee, S. H., 2017, Internet of Things, Big-data and Artificial Intelligence, Communications of the Korean Institute of Information Scientists and Engineers, Vol. 35, No. 7, pp. 43~50.

2. Eun, H. J., 1984, Machine Condition Diagnosis and Defect Detection by Vibration Signal Processing, Journal of the Korean Society of Mechanical Engineers, Vol. 24, No. 6, pp. 428~436.

3. A Study on Deep Learning-based Fault Diagnosis using Vibration Data of Wind Generator

4. Lee, J.-D. and Kim, J. H., 2020, A Study on the Denoising Method of Gearbox Vibration Signal Using Auto-encoder, Journal of the Korea Society of Information Technology Policy & Management, Vol. 12, No. 5, pp. 2017~2023.

5. Development of AI-based Diagnosis Technology using Noise/Vibration Data of Automobile Powertrain

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