2023

• 1.Domain Adaptation with Multi-adversarial Learning for Open-set Cross Domain Intelligent Bearing Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement
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• 2.A Novel Fault Feature Selection and Diagnosis Method for Rotating Machinery with Symmetrized Dot Pattern Representation.IEEE Sensors Journal
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• 3.Encogram: An autonomous weak transient fault enhancement strategy and its application in bearing fault diagnosis. Measurement
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• 4.Time-varying Online Transfer Learning for Intelligent Bearing Fault Diagnosis with Incomplete Unlabeled Target Data. IEEE Transactions on Industrial Informatics
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• 5.A Fault Diagnosis Method for Rotating Machinery with Semi-supervised Graph Convolutional Network and Images Converted from Vibration Signals. IEEE Sensors Journal
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• 6.Limited fault data augmentation with compressed sensing for bearing fault diagnosis. IEEE Sensors Journal
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2022

• 1.Fractional Dimensionless Indicator with Random Forest for Bearing Fault Diagnosis under Variable Speed Conditions. Shock and Vibration
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• 2.A predictive sliding local outlier correction method with adaptive state change rate determining for bearing remaining useful life estimation. Reliability Engineering & System Safety, 2022
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2021

• 1.Multiple Time-frequency Curve Classification for Tacho-less and Resampling-less Compound Bearing Fault Detection under Time-varying Speed Conditions.IEEE Sensors Journal, 21(4):5091-5101, 2021.
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• 2.A novel deconvolution cascaded variational mode decomposition for weak bearing fault detection with unknown signal transmission path. IEEE Sensors Journal, 21(2):1746-1755, 2021.
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• 3.Fractional Frequency Band Entropy for Bearing Fault Diagnosis under Varying Speed Conditions. Measurement, 171, 108777, 2021.
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• 4.Deep Dynamic Adaptive Transfer Network for Rolling Bearing Fault Diagnosis with Considering Cross-machine Instance.IEEE Transactions on Instrumentation & Measurement,2021
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2020

• 1.Compound Bearing Fault Detection under Varying Speed Conditions with Virtual Multi-channel Signals in Angle Domain.IEEE Transactions on Instrumentation and Measurement,2020,69(8):5535-5545
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• 2.A novel deconvolution cascaded variational mode decomposition for weak bearing fault detection with unknown signal transmission path. IEEE Sensors Journal,2020.
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• 3.Long Short-term Memory Network with Multi-resolution Singular Value Decomposition for Prediction of Bearing Performance Degradation. Measurement, 2020,156,107852
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• 4.基于声学信号瓶颈特征的滚动轴承故障诊断. 复旦学报（自然科学版）, 2020, 59(3):293-298.
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• 5.远程移动中央综合监护与自动预警系统在COVID-19重症患者救治中的应用实践. 中国医疗设备 2020，35（6）：166-170.
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• 6.Peak-based mode decomposition for weak fault features enhancement and detection of rolling element bearing.Shock and Vibration. 2020, 8901794
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• 7.Improved Empirical Wavelet Transform for Compound Weak Bearing Fault Diagnosis with Acoustic Signals.Applied Sciences,2020,10(2),682.
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• 8.Computer Audition for Healthcare: Opportunities and Challenges.Frontiers in Digital Health,2020.
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• 9.Modified LSM for size-dependent wave propagation: comparison with modified couple stress theory. Acta Mechanica, 2020, 231:1285-1304
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2019

• 1.A novel mode decomposition to enhance fault information for rolling element bearing. Shock and Vibration, 2019. (Accepted)
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• 2.Modified LSM for size-dependent wave propagation: comparison with modified couple stress theory. Acta Mechanica, 2020
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• 3.Long Short-term Memory Network for Prediction of Bearing Performance Degradation. Measurement, 2019 (Accepted)
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• 4.Blind Source Separation of Composite Bearing Vibration Signals with Low-rank and Sparse Decomposition. Measurement,2019,145:323-334.
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• 5.Bearing fault detection under variable speed conditions.IEEE Trans. on Instrumentation and Measurement, 2019 (Accepted)
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• 6.Underdetermined blind separation of bearing faults in hyperplane space with variational mode decomposition. Mechanical Systems and Signal Processing,120:83-97, 2019.
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2018

• 1.Tang Gang*, Zhang Yao, Wang Huaqing. Multivariable LS-SVM with moving window over time slices for the prediction of bearing performance degradation. Journal of Intelligent & Fuzzy Systems. 2018,34:3747-3757.
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• 2.Zhang Yao, Zhou Youguang, Tang Gang*, Wang Huaqing. Multivariable Least Squares Support Vector Machine with Time Integral Operator for Prediction of Bearing Performance Degradation. Part C: Journal of Mechanical Engineering Science,2018. DOI: 10.1177
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• 3.Improved empirical wavelet transform for bearing fault diagnosis. IEEE Transactions on Instrumentation and Measurement, 2018 (submitted)
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• 4.Blind source separation with sparse decomposition. Journal of sound and vibration, 2018 (under review)
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2017

2016

2015