Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning

doi:10.1109/JAS.2023.123228

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	Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning
	Wentao Mao; Gangsheng Wang; Linlin Kou; Xihui Liang
刊名	IEEE/CAA Journal of Automatica Sinica
	2023
卷号	10 期号:2 页码:524-546
关键词	Anomaly detection domain adaptation domain-adversarial training one-class classification transfer learning
ISSN号	2329-9266
DOI	10.1109/JAS.2023.123228
英文摘要	Despite the big success of transfer learning techniques in anomaly detection, it is still challenging to achieve good transition of detection rules merely based on the preferred data in the anomaly detection with one-class classification, especially for the data with a large distribution difference. To address this challenge, a novel deep one-class transfer learning algorithm with domain-adversarial training is proposed in this paper. First, by integrating a hypersphere adaptation constraint into domain-adversarial neural network, a new hypersphere adversarial training mechanism is designed. Second, an alternative optimization method is derived to seek the optimal network parameters while pushing the hyperspheres built in the source domain and target domain to be as identical as possible. Through transferring one-class detection rule in the adaptive extraction of domain-invariant feature representation, the end-to-end anomaly detection with one-class classification is then enhanced. Furthermore, a theoretical analysis about the model reliability, as well as the strategy of avoiding invalid and negative transfer, is provided. Experiments are conducted on two typical anomaly detection problems, i.e., image recognition detection and online early fault detection of rolling bearings. The results demonstrate that the proposed algorithm outperforms the state-of-the-art methods in terms of detection accuracy and robustness.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/50864]
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	Wentao Mao,Gangsheng Wang,Linlin Kou,et al. Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(2):524-546.
APA	Wentao Mao,Gangsheng Wang,Linlin Kou,&Xihui Liang.(2023).Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning.IEEE/CAA Journal of Automatica Sinica,10(2),524-546.
MLA	Wentao Mao,et al."Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning".IEEE/CAA Journal of Automatica Sinica 10.2(2023):524-546.