- Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, Xueyun Liu:
Feature-level SMOTE: Augmenting fault samples in learnable feature space for imbalanced fault diagnosis of gas turbines. Expert Syst. Appl. 238(Part F): 122023 (2024) - Lijia Luo, Weida Wang, Shiyi Bao, Xin Peng, Yigong Peng:
Robust and sparse canonical correlation analysis for fault detection and diagnosis using training data with outliers. Expert Syst. Appl. 236: 121434 (2024) - Yuhang Ming, Haidong Shao, Baoping Cai, Bin Liu:
rgfc-Forest: An enhanced deep forest method towards small-sample fault diagnosis of electromechanical system. Expert Syst. Appl. 238(Part E): 122178 (2024) - Kyumin Na, Yunhan Kim, Heonjun Yoon, Byeng D. Youn:
FASER: Fault-affected signal energy ratio for fault diagnosis of gearboxes under repetitive operating conditions. Expert Syst. Appl. 238(Part C): 122078 (2024) - Esvan-Jesús Pérez-Pérez, Vicenç Puig, Francisco-Ronay López-Estrada, Guillermo Valencia-Palomo, Ildeberto Santos-Ruiz, Gloria-Lilia Osorio-Gordillo:
Robust fault diagnosis of wind turbines based on MANFIS and zonotopic observers. Expert Syst. Appl. 235: 121095 (2024) - Xiaorui Shao, Chang-Soo Kim:
Adaptive multi-scale attention convolution neural network for cross-domain fault diagnosis. Expert Syst. Appl. 236: 121216 (2024) - Shengdong Wang, Zhenbao Liu, Zhen Jia, Wen Zhao, Zihao Li:
Intermittent fault diagnosis for electronics-rich analog circuit systems based on multi-scale enhanced convolution transformer network with novel token fusion strategy. Expert Syst. Appl. 238(Part B): 121964 (2024) - Jianan Wei, Jiaxin Wang, Haisong Huang, Weidong Jiao, Yage Yuan, Hualin Chen, Rui Wu, Junhui Yi:
Novel extended NI-MWMOTE-based fault diagnosis method for data-limited and noise-imbalanced scenarios. Expert Syst. Appl. 238(Part A): 121799 (2024) - Shen Yan, Haidong Shao, Jie Wang, Xinyu Zheng, Bin Liu:
LiConvFormer: A lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention. Expert Syst. Appl. 237(Part A): 121338 (2024) - Jun-Feng Yang, Ning Zhang, Yan-Lin He, Qun-Xiong Zhu, Yuan Xu:
Novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence for fault diagnosis of unlabeled data. Expert Syst. Appl. 238(Part F): 122393 (2024) - Min Yin, Jince Li, Yilin Shi, Chu Qi, Hongguang Li:
Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes. Expert Syst. Appl. 238(Part D): 121753 (2024) - Funa Zhou, Shun Liu, Hamido Fujita, Xiong Hu, Yanbo Zhang, Bei Wang, Kai Wang:
Fault diagnosis based on federated learning driven by dynamic expansion for model layers of imbalanced client. Expert Syst. Appl. 238(Part E): 121982 (2024) - Ana Cláudia Oliveira e Souza, Maurício Bezerra de Souza Jr., Flávio Vasconcelos da Silva:
Enhancing fault detection and diagnosis systems for a chemical process: a study on convolutional neural networks and transfer learning. Evol. Syst. 15(2): 611-633 (2024) - Xinrui Chen, Xiang Li, Shupeng Yu, Yaguo Lei, Naipeng Li, Bin Yang:
Dynamic Vision Enabled Contactless Cross-Domain Machine Fault Diagnosis with Neuromorphic Computing. IEEE CAA J. Autom. Sinica 11(3): 788-790 (2024) - Bin Yang, Yaguo Lei, Xiang Li, Naipeng Li, Asoke K. Nandi:
Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation. IEEE CAA J. Autom. Sinica 11(4): 932-945 (2024) - Abid Sabrina, Fatima Debbat:
Multi-Fault Diagnosis Based on Hybrid Bio-Inspired Algorithm ACO-GA. Int. J. Appl. Metaheuristic Comput. 15: 1-20 (2024) - Puda Li:
A Multi-scale Attention-Based Transfer Model for Cross-bearing Fault Diagnosis. Int. J. Comput. Intell. Syst. 17(1): 42 (2024) - Baochang Xu, Peng Zhuang, Yaxin Wang, Wei He, Zhongjun Wang, Zhongyao Liu:
Fault Diagnosis of Wastewater Treatment Processes Based on CPSO-DKPCA. Int. J. Comput. Intell. Syst. 17(1): 19 (2024) - Shengxue Tang, Hongfan Wang, Weiwei Wang, Chenglong Liu:
A fault diagnosis method for active power factor correction power supply based on seagull algorithm optimized kernel-based extreme learning machine. Int. J. Circuit Theory Appl. 52(3): 1116-1135 (2024) - Qianhong Hou, Yongxin Chou, Jicheng Liu, Haifeng Mao, Mingda Lou:
A series arc fault diagnosis method based on random forest model. Int. J. Model. Identif. Control. 44(1): 23-31 (2024) - Baoye Song, Yiyan Liu, Jingzhong Fang, Weibo Liu, Maiying Zhong, Xiaohui Liu:
An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples. Neurocomputing 574: 127284 (2024) - Shenquan Wang, Ganggang Lian, Chao Cheng, Hongtian Chen:
A novel method of rolling bearings fault diagnosis based on singular spectrum decomposition and optimized stochastic configuration network. Neurocomputing 574: 127278 (2024) - Xingxing Jiang, Xuegang Li, Qian Wang, Qiuyu Song, Jie Liu, Zhongkui Zhu:
Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis. Inf. Fusion 101: 102005 (2024) - Chao Lian, Yuliang Zhao, Jinliang Shao, Tianang Sun, Fanghecong Dong, Zhongjie Ju, Zhikun Zhan, Peng Shan:
CFI-LFENet: Infusing cross-domain fusion image and lightweight feature enhanced network for fault diagnosis. Inf. Fusion 104: 102162 (2024) - Shun Wang, Yongbo Li, Khandaker Noman, Zhixiong Li, Ke Feng, Zheng Liu, Zichen Deng:
Multivariate multiscale dispersion Lempel-Ziv complexity for fault diagnosis of machinery with multiple channels. Inf. Fusion 104: 102152 (2024) - Xiaoli Zhao, Xingjun Zhu, Jiahui Liu, Yuanhao Hu, Tianyu Gao, Liyong Zhao, Jianyong Yao, Zheng Liu:
Model-Assisted Multi-source Fusion Hypergraph Convolutional Neural Networks for intelligent few-shot fault diagnosis to Electro-Hydrostatic Actuator. Inf. Fusion 104: 102186 (2024) - He-Xuan Hu, Chengcheng Cao, Qiang Hu, Ye Zhang, Zhen-Zhou Lin:
A Real-Time Bearing Fault Diagnosis Model Based on Siamese Convolutional Autoencoder in Industrial Internet of Things. IEEE Internet Things J. 11(3): 3820-3831 (2024) - Yiming Xiao, Haidong Shao, Jian Lin, Zhiqiang Huo, Bin Liu:
BCE-FL: A Secure and Privacy-Preserving Federated Learning System for Device Fault Diagnosis Under Non-IID Condition in IIoT. IEEE Internet Things J. 11(8): 14241-14252 (2024) - Wei Dai, Jiang Liu, Lanhao Wang:
Cloud ensemble learning for fault diagnosis of rolling bearings with stochastic configuration networks. Inf. Sci. 658: 119991 (2024) - Xiaobin Xu, Haohao Guo, Zehui Zhang, Shan-en Yu, Leilei Chang, Felix Steyskal, Georg Brunauer:
A cloud model-based interval-valued evidence fusion method and its application in fault diagnosis. Inf. Sci. 658: 119995 (2024)