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2020 – today
- 2025
[j73]Yiming Xiao
, Haidong Shao, Jie Wang, Baoping Cai, Bin Liu:
Domain-augmented meta ensemble learning for mechanical fault diagnosis from heterogeneous source domains to unseen target domains. Expert Syst. Appl. 259: 125345 (2025)- 2024
- [j72]Xuefang Xu, Shuo Bao, Haidong Shao, Peiming Shi:
A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery. Adv. Eng. Informatics 60: 102419 (2024) - [j71]Yanzuo Lai, Haidong Shao, Xinyu Zheng, Baoping Cai, Bin Liu:
Automated fault diagnosis of rotating machinery using sub domain greedy Network Architecture search. Adv. Eng. Informatics 62: 102753 (2024) - [j70]Jie Wang, Haidong Shao, Yiming Xiao, Bin Liu:
SFDA-T: A novel source-free domain adaptation method with strong generalization ability for fault diagnosis. Adv. Eng. Informatics 62: 102903 (2024) - [j69]Xinyu Zheng, Haidong Shao, Shen Yan, Yiming Xiao, Bin Liu:
Multiscale information enhanced spatial-temporal graph convolutional network for multivariate traffic flow forecasting via magnifying perceptual scope. Eng. Appl. Artif. Intell. 136: 109010 (2024) - [j68]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) - [j67]Qinhe Gao, Tong Huang, Ke Zhao, Haidong Shao, Bo Jin:
Multi-source weighted source-free domain transfer method for rotating machinery fault diagnosis. Expert Syst. Appl. 237(Part B): 121585 (2024) - [j66]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) - [j65]Jiangji Peng, Haidong Shao, Yiming Xiao, Baoping Cai, Bin Liu:
Industrial surface defect detection and localization using multi-scale information focusing and enhancement GANomaly. Expert Syst. Appl. 238(Part F): 122361 (2024) - [j64]Zongkai Liu, Ke Zhao, Haidong Shao, Jie Chen, Yifan Wan:
Reinforced fuzzy domain adaptation: Revolutionizing data-unaccessible rotating machinery fault diagnosis across multiple domains. Expert Syst. Appl. 252: 124094 (2024) - [j63]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) - [j62]Haidong Shao, Xiangdong Zhou, Jian Lin, Bin Liu:
Few-Shot Cross-Domain Fault Diagnosis of Bearing Driven by Task-Supervised ANIL. IEEE Internet Things J. 11(13): 22892-22902 (2024) - [j61]Jie Wang, Haidong Shao, Ying Peng, Bin Liu:
PSparseFormer: Enhancing Fault Feature Extraction Based on Parallel Sparse Self-Attention and Multiscale Broadcast Feedforward Block. IEEE Internet Things J. 11(13): 22982-22991 (2024) - [j60]Liangwei Zhang, Jing Lin, Zhe Yang, Haidong Shao, Biyu Liu, Chuan Li:
Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform. IEEE Internet Things J. 11(13): 23096-23109 (2024) - [j59]Fanfan Gan, Haidong Shao, Baizhan Xia:
An adaptive model with dual-dimensional attention for remaining useful life prediction of aero-engine. Knowl. Based Syst. 293: 111738 (2024) - [j58]Zhengwu Liu, Xiang Zhong, Haidong Shao, Shen Yan, Bin Liu:
Transfer graph feature alignment guided multi-source domain adaptation network for machinery fault diagnosis. Knowl. Based Syst. 305: 112606 (2024) - [j57]Minjie Feng, Haidong Shao, Minghui Shao, Yiming Xiao, Jie Wang, Bin Liu:
Utilizing Bayesian generalization network for reliable fault diagnosis of machinery with limited data. Knowl. Based Syst. 305: 112628 (2024) - [j56]Sai Li, Yanfeng Peng, Yiping Shen, Sibo Zhao, Haidong Shao, Guangfu Bin, Yong Guo, Xingkai Yang, Chao Fan:
Rolling Bearing Fault Diagnosis Under Data Imbalance and Variable Speed Based on Adaptive Clustering Weighted Oversampling. Reliab. Eng. Syst. Saf. 244: 109938 (2024) - [j55]Jingjie Luo, Haidong Shao, Jian Lin, Bin Liu:
Meta-learning with elastic prototypical network for fault transfer diagnosis of bearings under unstable speeds. Reliab. Eng. Syst. Saf. 245: 110001 (2024) - [j54]Zhangjun Wu, Renli Xu, Yuansheng Luo, Haidong Shao:
A holistic semi-supervised method for imbalanced fault diagnosis of rotational machinery with out-of-distribution samples. Reliab. Eng. Syst. Saf. 250: 110297 (2024) - [j53]Xinyu Ren, Wanli Zhao, Mengmeng Liu, Suixin Wang, Haidong Shao, Ke Zhao:
Multi-source domain self-supervised enhanced transfer fault diagnosis approach with source sample refinement strategy. Reliab. Eng. Syst. Saf. 251: 110380 (2024) - [j52]Haiyang Pan, Haifeng Xu, Jinde Zheng, Haidong Shao, Jinyu Tong:
A Semi-Supervised Matrixized Graph Embedding Machine for Roller Bearing Fault Diagnosis Under Few-Labeled Samples. IEEE Trans. Ind. Informatics 20(1): 854-863 (2024) - [j51]Ke Zhao, Zhenbao Liu, Bo Zhao, Haidong Shao:
Class-Aware Adversarial Multiwavelet Convolutional Neural Network for Cross-Domain Fault Diagnosis. IEEE Trans. Ind. Informatics 20(3): 4492-4503 (2024) - [j50]Guangyao Zhang, Yi Wang, Liang Guo, Yi Qin, Baoping Tang, Haidong Shao:
Slice-Oriented Signal Probability Distribution Measure for Wind Turbine Generator Bearing Condition Monitoring Under Variable Speed Conditions. IEEE Trans. Ind. Informatics 20(4): 5297-5307 (2024) - [j49]Wenbin He, Jianxu Mao, Yaonan Wang, Zhe Li, He Xie, Haidong Shao, Xingwei Zhao:
Unified Diagnostic and Matching Framework of Fault and Quality for Robotic Grinding System. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - 2023
- [j48]Angang Wei, Songyu Han, Wei Li, Haidong Shao, Xingkai Yang:
A new framework for intelligent fault diagnosis of spiral bevel gears with unbalanced data. Appl. Intell. 53(18): 21312-21324 (2023) - [j47]Ke Zhao, Zhen Jia, Feng Jia, Haidong Shao:
Multi-scale integrated deep self-attention network for predicting remaining useful life of aero-engine. Eng. Appl. Artif. Intell. 120: 105860 (2023) - [j46]Jie Wang, Haidong Shao, Shen Yan, Bin Liu:
C-ECAFormer: A new lightweight fault diagnosis framework towards heavy noise and small samples. Eng. Appl. Artif. Intell. 126: 107031 (2023) - [j45]Jian Lin, Haidong Shao, Xiangdong Zhou, Baoping Cai, Bin Liu:
Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals. Expert Syst. Appl. 230: 120696 (2023) - [j44]Ke Zhao, Feng Jia, Haidong Shao:
A novel conditional weighting transfer Wasserstein auto-encoder for rolling bearing fault diagnosis with multi-source domains. Knowl. Based Syst. 262: 110203 (2023) - [j43]Zhiyi He, Yuting Zeng, Haidong Shao, Hongwei Hu, Xiaoqiang Xu:
Novel motor fault detection scheme based on one-class tensor hyperdisk. Knowl. Based Syst. 262: 110259 (2023) - [j42]Zhe Wang, Zhiying Wu, Xingqiu Li, Haidong Shao, Te Han, Min Xie:
Attention-aware temporal-spatial graph neural network with multi-sensor information fusion for fault diagnosis. Knowl. Based Syst. 278: 110891 (2023) - [j41]Shen Yan, Haidong Shao, Yiming Xiao, Bin Liu, Jiafu Wan:
Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises. Robotics Comput. Integr. Manuf. 79: 102441 (2023) - [j40]Xin Li, Yong Li, Ke Yan, Haidong Shao, Janet (Jing) Lin:
Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging. Reliab. Eng. Syst. Saf. 230: 108921 (2023) - [j39]Ke Zhao, Junchen Hu, Haidong Shao, Jiabei Hu:
Federated multi-source domain adversarial adaptation framework for machinery fault diagnosis with data privacy. Reliab. Eng. Syst. Saf. 236: 109246 (2023) - [j38]Shen Yan, Haidong Shao, Zhishan Min, Jiangji Peng, Baoping Cai, Bin Liu:
FGDAE: A new machinery anomaly detection method towards complex operating conditions. Reliab. Eng. Syst. Saf. 236: 109319 (2023) - [j37]Peng Ding, Xiaoli Zhao, Haidong Shao, Minping Jia:
Machinery cross domain degradation prognostics considering compound domain shifts. Reliab. Eng. Syst. Saf. 239: 109490 (2023) - [j36]Shen Yan, Xiang Zhong, Haidong Shao, Yuhang Ming, Chao Liu, Bin Liu:
Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization. Reliab. Eng. Syst. Saf. 239: 109522 (2023) - [j35]Xiaoli Zhao, Xingjun Zhu, Jianyong Yao, Wenxiang Deng, Yudong Cao, Peng Ding, Minping Jia, Haidong Shao:
Intelligent Health Assessment of Aviation Bearing Based on Deep Transfer Graph Convolutional Networks under Large Speed Fluctuations. Sensors 23(9): 4379 (2023) - [j34]Haidong Shao, Wei Li, Baoping Cai, Jiafu Wan, Yiming Xiao, Shen Yan:
Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation. IEEE Trans. Ind. Informatics 19(9): 9933-9942 (2023) - [j33]Minmin Xu, Yaoyao Han, Xiaoxi Ding, Haidong Shao, Yimin Shao:
Decision Self-Regulating Network for Imbalanced Working Conditions Identification in the Application of Gearbox Intelligent Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j32]Mingzhi Chen, Haidong Shao, Haoxuan Dou, Wei Li, Bin Liu:
Data Augmentation and Intelligent Fault Diagnosis of Planetary Gearbox Using ILoFGAN Under Extremely Limited Samples. IEEE Trans. Reliab. 72(3): 1029-1037 (2023) - [c7]Chen Chen, Haidong Shao, Zhongwei Xu, Kai Huang, Qiaochuan Chen, Meng Mei:
A Fault Detection Method for Railway Turnout with Convex Hull-based One-Class Tensor Machine. I2MTC 2023: 1-6 - [c6]Zhenghong Wu, Hongkai Jiang, Sicheng Zhang, Xin Wang, Haidong Shao, Haoxuan Dou:
Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network. ICPHM 2023: 105-111 - [c5]Chen Chen, Meng Mei, Haidong Shao, Pei Liang:
A support tensor machine-based fault diagnosis method for railway turnout. ICPHM 2023: 274-281 - 2022
- [j31]Xin Li, Yu Yang, Niaoqing Hu, Zhe Cheng, Haidong Shao, Junsheng Cheng:
Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix. Adv. Eng. Informatics 51: 101513 (2022) - [j30]Wei Li, Xiang Zhong, Haidong Shao, Baoping Cai, Xingkai Yang:
Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework. Adv. Eng. Informatics 52: 101552 (2022) - [j29]Shen Yan, Haidong Shao, Yiming Xiao, Jian Zhou, Yuandong Xu, Jiafu Wan:
Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates. Adv. Eng. Informatics 53: 101648 (2022) - [j28]Like Zhang, Qianwang Deng, Bingxin Miao, Xiaoyan Liu, Haidong Shao:
Parallel service mode of production and inventory for spare part inventory optimization. Knowl. Based Syst. 241: 108282 (2022) - [j27]Jian Lin, Haidong Shao, Zhishan Min, Jingjie Luo, Yiming Xiao, Shen Yan, Jian Zhou:
Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples. Knowl. Based Syst. 252: 109493 (2022) - [j26]Xin Li, Yu Yang, Wu Zhantao, Ke Yan, Haidong Shao, Junsheng Cheng:
High-accuracy gearbox health state recognition based on graph sparse random vector functional link network. Reliab. Eng. Syst. Saf. 218(Part): 108187 (2022) - [j25]Zhiyi He, Haidong Shao, Ziyang Ding, Hongkai Jiang, Junsheng Cheng:
Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine. IEEE Trans. Ind. Electron. 69(1): 845-855 (2022) - [j24]Zhuo Long, Xiaofei Zhang, Min He, Shoudao Huang, Guojun Qin, Dianyi Song, Yao Tang, Gongping Wu, Weizhi Liang, Haidong Shao:
Motor Fault Diagnosis Based on Scale Invariant Image Features. IEEE Trans. Ind. Informatics 18(3): 1605-1617 (2022) - [j23]Yao Tang, Xiaofei Zhang, Guojun Qin, Zhuo Long, Shoudao Huang, Dianyi Song, Haidong Shao:
Graph Cardinality Preserved Attention Network for Fault Diagnosis of Induction Motor Under Varying Speed and Load Condition. IEEE Trans. Ind. Informatics 18(6): 3702-3712 (2022) - [j22]Xin Li, Jian Cheng, Haidong Shao, Kan Liu, Baoping Cai:
A Fusion CWSMM-Based Framework for Rotating Machinery Fault Diagnosis Under Strong Interference and Imbalanced Case. IEEE Trans. Ind. Informatics 18(8): 5180-5189 (2022) - [j21]Jian Cheng, Yu Yang, Wu Zhantao, Haidong Shao, Haiyang Pan, Junsheng Cheng:
Ramanujan Fourier Mode Decomposition and Its Application in Gear Fault Diagnosis. IEEE Trans. Ind. Informatics 18(9): 6079-6088 (2022) - [j20]Min Xia, Haidong Shao, Zheng Huang, Zhe Zhao, Feilong Jiang, Yaowu Hu:
Intelligent Process Monitoring of Laser-Induced Graphene Production With Deep Transfer Learning. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [j19]Xin Li, Haidong Shao, Siliang Lu, Jiawei Xiang, Baoping Cai:
Highly Efficient Fault Diagnosis of Rotating Machinery Under Time-Varying Speeds Using LSISMM and Small Infrared Thermal Images. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7328-7340 (2022) - 2021
- [j18]Haidong Shao, Jing Lin, Liangwei Zhang, Diego Galar, Uday Kumar:
A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance. Inf. Fusion 74: 65-76 (2021) - [j17]Liangwei Zhang, Jing Lin, Haidong Shao, Zhicong Zhang, Xiaohui Yan, Jianyu Long:
End-to-end unsupervised fault detection using a flow-based model. Reliab. Eng. Syst. Saf. 215: 107805 (2021) - [j16]Min Xia, Haidong Shao, Darren Williams, Siliang Lu, Lei Shu, Clarence W. de Silva:
Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning. Reliab. Eng. Syst. Saf. 215: 107938 (2021) - [j15]Xin Li, Xiang Zhong, Haidong Shao, Te Han, Changqing Shen:
Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression. Reliab. Eng. Syst. Saf. 216: 108018 (2021) - [j14]Haidong Shao, Min Xia, Guangjie Han, Yu Zhang, Jiafu Wan:
Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images. IEEE Trans. Ind. Informatics 17(5): 3488-3496 (2021) - [j13]Min Xia, Haidong Shao, Xiandong Ma, Clarence W. de Silva:
A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation. IEEE Trans. Ind. Informatics 17(10): 7050-7059 (2021) - [j12]Haidong Shao, Wei Li, Min Xia, Yu Zhang, Changqing Shen, Darren Williams, Andrew Kennedy, Clarence W. de Silva:
Fault Diagnosis of a Rotor-Bearing System Under Variable Rotating Speeds Using Two-Stage Parameter Transfer and Infrared Thermal Images. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c4]Hongru Cao, Haidong Shao, Min Xia, Wenlong Luo, Feng Zhu, Dehua Su:
Unsupervised Domain-shared Convolutional Neural Network for Bearing Fault Transfer Diagnosis. ICCSE 2021: 216-221 - [c3]Haidong Shao, Wei Li, Min Xia, Chengxu Wang, Qinglin Guan, Tian'ao Xu:
Rotating Machinery Fault Classification using IWGAN-GP and Small Gray Images. ICCSE 2021: 222-227 - 2020
- [j11]Zhiyi He, Haidong Shao, Xiang Zhong, Yu Yang, Junsheng Cheng:
An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE. Adv. Eng. Informatics 46: 101150 (2020) - [j10]Haidong Shao, Junsheng Cheng, Hongkai Jiang, Yu Yang, Wu Zhantao:
Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing. Knowl. Based Syst. 188 (2020) - [j9]Zhiyi He, Haidong Shao, Ping Wang, Janet (Jing) Lin, Junsheng Cheng, Yu Yang:
Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples. Knowl. Based Syst. 191: 105313 (2020) - [j8]Zhiyi He, Haidong Shao, Xiang Zhong, Xianzhu Zhao:
Ensemble transfer CNNs driven by multi-channel signals for fault diagnosis of rotating machinery cross working conditions. Knowl. Based Syst. 207: 106396 (2020) - [j7]Ke Zhao, Haidong Shao:
Intelligent Fault Diagnosis of Rolling Bearing Using Adaptive Deep Gated Recurrent Unit. Neural Process. Lett. 51(2): 1165-1184 (2020)
2010 – 2019
- 2019
- [j6]Zhiyi He, Haidong Shao, Xiaoyang Zhang, Junsheng Cheng, Yu Yang:
Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples. IEEE Access 7: 115368-115377 (2019) - [c2]Stephen H. Bach, Daniel Rodriguez, Yintao Liu, Chong Luo, Haidong Shao, Cassandra Xia, Souvik Sen, Alexander Ratner, Braden Hancock, Houman Alborzi, Rahul Kuchhal, Christopher Ré, Rob Malkin:
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale. SIGMOD Conference 2019: 362-375 - 2018
- [j5]Haidong Shao, Hongkai Jiang, Li Xingqiu, Tianchen Liang:
Rolling bearing fault detection using continuous deep belief network with locally linear embedding. Comput. Ind. 96: 27-39 (2018) - [j4]Hongkai Jiang, Haidong Shao, Xinxia Chen, Jiayang Huang:
A feature fusion deep belief network method for intelligent fault diagnosis of rotating machinery. J. Intell. Fuzzy Syst. 34(6): 3513-3521 (2018) - [j3]Haidong Shao, Hongkai Jiang, Li Xingqiu, Wu Shuaipeng:
Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine. Knowl. Based Syst. 140: 1-14 (2018) - [j2]Haidong Shao, Hongkai Jiang, Haizhou Zhang, Tianchen Liang:
Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network. IEEE Trans. Ind. Electron. 65(3): 2727-2736 (2018) - [c1]Haidong Shao, Hongkai Jiang:
Unsupervised Feature Learning of Gearbox Fault Using Stacked Wavelet Auto-encoder. ICPHM 2018: 1-8 - [i1]Stephen H. Bach, Daniel Rodriguez, Yintao Liu, Chong Luo, Haidong Shao, Cassandra Xia, Souvik Sen, Alexander Ratner, Braden Hancock, Houman Alborzi, Rahul Kuchhal, Christopher Ré, Rob Malkin:
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale. CoRR abs/1812.00417 (2018) - 2017
- [j1]Haidong Shao, Hongkai Jiang, Fuan Wang, Huiwei Zhao:
An enhancement deep feature fusion method for rotating machinery fault diagnosis. Knowl. Based Syst. 119: 200-220 (2017)
Coauthor Index
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