Zobrazeno 1 - 10
of 198
pro vyhledávání: '"Jung, Wonho"'
The rise of smart factories has heightened the demand for automated maintenance, and normal-data-based anomaly detection has proved particularly effective in environments where anomaly data are scarce. This method, which does not require anomaly data
Externí odkaz:
http://arxiv.org/abs/2408.04817
This paper proposes a thermal-infrared (TIR) remote target detection system for maritime rescue using deep learning and data augmentation. We established a self-collected TIR dataset consisting of multiple scenes imitating human rescue situations usi
Externí odkaz:
http://arxiv.org/abs/2310.20412
Publikováno v:
In Chemical Engineering Journal 1 November 2024 499
Publikováno v:
In Chemical Engineering Journal 15 October 2024 498
Publikováno v:
In Chemical Engineering Journal 15 September 2024 496
This paper presents a non-contact fault diagnostic method for ball bearing using adaptive wavelet denoising, statistical-spectral acoustic features, and one-dimensional (1D) convolutional neural networks (CNN). The health conditions of the ball beari
Externí odkaz:
http://arxiv.org/abs/2110.03348
Publikováno v:
In Energy Conversion and Management 1 July 2024 311
Publikováno v:
In Chemical Engineering Journal 15 March 2024 484
Autor:
Lim, Yong Hyun, Jung, Wonho, Ryu, Hae Won, Kim, Hyungjoo, Roh, Jangeon, Hwang, Yeseul, Kim, Do Heui
Publikováno v:
In Chemical Engineering Journal 1 January 2024 479