期刊论文
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D. Wang. Box-Cox Sparse Measures: A New Family of Sparse Measures Constructed from Kurtosis and Negative Entropy, Mechanical Systems and Signal Processing, 160, 107930, 2021.
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J. Kong, F. Yang, X. Zhang, et al. Voltage-temperature health feature extraction to improve prognostics and health management of lithium-ion batteries. Energy, 223, 120114, 2021.
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B. Hou, D. Wang, T. Yan, et al. Gini Indices Ⅱ and Ⅲ: Two New Sparsity Measures and Their Applications to Machine Condition Monitoring. IEEE/ASME Trans. Mechatronics, 4435, 2021.
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B. Hou, D. Wang, Y. Wang, et al. Adaptive Weighted Signal Preprocessing Technique for Machine Health Monitoring, IEEE Trans. Instrum. Meas. 70, 1–11, 2021.
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B. Hou, D. Wang, T. Xia, et al. Investigations on quasi-arithmetic means for machine condition monitoring. Mech. Syst. Signal Process. 151, 107451, 2021.
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X. Wu, Y. Zhang, C. Cheng, et al. A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery. Mechanical Systems and Signal Processing, 149, 107327, 2021.
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P. Zhou, Z. Peng, S. Chen, et al. Sinusodial FM patterns of fault-related vibration signals for planetary gearbox fault detection under non-stationary conditions. Mechanical Systems and Signal Processing, 155, 107623, 2021.
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M. Lin, C. Cheng*, Z. Peng, et al. Nonlinear dynamical system identification using the sparse regression and separable least squares methods. Journal of Sound and Vibration, 505, 116141, 2021.
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B. Zhao, C. Cheng, Z. Peng, et al. Hybrid Pre-Training Strategy for Deep Denoising Neural Networks and Its Application in Machine Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement, 70, 1-11, 2021.
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B. Zhao, C. Cheng, G. Tu, et al. An Interpretable Denoising Layer for Neural Networks Based on Reproducing Kernel Hilbert Space and its Application in Machine Fault Diagnosis. Chinese Journal of Mechanical Engineering, 34(1), 2021.