Shen Liu

发表

Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives

Shuilong He, Jinglong Chen, Tongyang Pan, 2021, ISA Transactions.

Cross-domain intelligent bearing fault diagnosis under class imbalanced samples via transfer residual network augmented with explicit weight self-assignment strategy based on meta data

Shuilong He, Jinglong Chen, Zitong Zhou, 2022, Knowl. Based Syst..

Multi-expert Attention Network with Unsupervised Aggregation for long-tailed fault diagnosis under speed variation

Jinglong Chen, Zhuo Chen, Shen Liu, 2022, Knowl. Based Syst..

Attention Mechanism in Intelligent Fault Diagnosis of Machinery: A Review of Technique and Application

Jinglong Chen, Tongyang Pan, Tianci Zhang, 2022, Measurement.

Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects

Jinglong Chen, Wenrong Xiao, Zhuo Chen, 2022, Knowl. Based Syst..

CFs-focused intelligent diagnosis scheme via alternative kernels networks with soft squeeze-and-excitation attention for fast-precise fault detection under slow & sharp speed variations

Jinglong Chen, Zitong Zhou, Shen Liu, 2021, Knowl. Based Syst..

Subspace Network with Shared Representation learning for intelligent fault diagnosis of machine under speed transient conditions with few samples.

Shuilong He, Jinglong Chen, Zitong Zhou, 2021, ISA transactions.

Intelligent fault diagnosis under small sample size conditions via Bidirectional InfoMax GAN with unsupervised representation learning

Zitong Zhou, Jinglong Chen, Haixin Lv, 2021, Knowl. Based Syst..

Heterogeneous bi-directional recurrent neural network combining fusion health indicator for predictive analytics of rotating machinery.

Jinglong Chen, Shen Liu, Haixin Lv, 2021, ISA transactions.

LOSGAN: latent optimized stable GAN for intelligent fault diagnosis with limited data in rotating machinery

Tongyang Pan, Jinglong Chen, Cheng Qu, 2020 .

Domain Discrepancy-Guided Contrastive Feature Learning for Few-Shot Industrial Fault Diagnosis Under Variable Working Conditions

Jinglong Chen, Tianci Zhang, Shen Liu, 2023, IEEE Transactions on Industrial Informatics.