Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks

doi:10.1109/JAS.2023.124170

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks
	Tao Wang; Qiming Chen; Xun Lang; Lei Xie; Peng Li; Hongye Su
刊名	IEEE/CAA Journal of Automatica Sinica
	2024
卷号	11 期号:4 页码:982-995
关键词	Convolutional neural networks (CNNs) deep learning image processing oscillation detection process industries
ISSN号	2329-9266
DOI	10.1109/JAS.2023.124170
英文摘要	Oscillation detection has been a hot research topic in industries due to the high incidence of oscillation loops and their negative impact on plant profitability. Although numerous automatic detection techniques have been proposed, most of them can only address part of the practical difficulties. An oscillation is heuristically defined as a visually apparent periodic variation. However, manual visual inspection is labor-intensive and prone to missed detection. Convolutional neural networks (CNNs), inspired by animal visual systems, have been raised with powerful feature extraction capabilities. In this work, an exploration of the typical CNN models for visual oscillation detection is performed. Specifically, we tested MobileNet-V1, ShuffleNet-V2, EfficientNet-B0, and GhostNet models, and found that such a visual framework is well-suited for oscillation detection. The feasibility and validity of this framework are verified utilizing extensive numerical and industrial cases. Compared with state-of-the-art oscillation detectors, the suggested framework is more straightforward and more robust to noise and mean-nonstationarity. In addition, this framework generalizes well and is capable of handling features that are not present in the training data, such as multiple oscillations and outliers.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/55371]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Tao Wang,Qiming Chen,Xun Lang,et al. Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(4):982-995.
APA	Tao Wang,Qiming Chen,Xun Lang,Lei Xie,Peng Li,&Hongye Su.(2024).Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks.IEEE/CAA Journal of Automatica Sinica,11(4),982-995.
MLA	Tao Wang,et al."Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks".IEEE/CAA Journal of Automatica Sinica 11.4(2024):982-995.