Zhousuo Zhang
Orcid: 0000-0003-1299-8974
According to our database1,
Zhousuo Zhang
authored at least 28 papers
between 2005 and 2024.
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Bibliography
2024
A Novel Online Sliding Blind Deconvolution Algorithm for Satellite Microvibration Source Separation in Time-Varying Environment.
IEEE Trans. Instrum. Meas., 2024
Knowl. Based Syst., 2024
Digit. Signal Process., 2024
2023
Frequency-Domain Convolutive Bounded Component Analysis Algorithm for the Blind Separation of Dependent Sources.
IEEE Trans. Instrum. Meas., 2023
2022
A Novel Multisensor Orthogonal Attention Fusion Network for Multibolt Looseness State Recognition Under Small Sample.
IEEE Trans. Instrum. Meas., 2022
2021
Generalized Variational Mode Decomposition: A Multiscale and Fixed-Frequency Decomposition Algorithm.
IEEE Trans. Instrum. Meas., 2021
2020
State recognition of bolted structures based on quasi-analytic wavelet packet transform and generalized Gegenbauer support vector machine.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
A Kernel-Based Nonlinear Blind Source Separation Algorithm with Reference and Its Application in Satellite Micro-vibration System.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
2018
Identification of bonding strength for explosive clad pipe utilizing vibration characteristics.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018
2016
A novel intelligent method for mechanical fault diagnosis based on dual-tree complex wavelet packet transform and multiple classifier fusion.
Neurocomputing, 2016
Construction of optimal dual-tree complex wavelet for bonding quality detection of explosive composite structure.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016
2015
A Non-Probabilistic Metric Derived From Condition Information for Operational Reliability Assessment of Aero-Engines.
IEEE Trans. Reliab., 2015
Time-frequency distribution decomposition with application to detection of rotor rub-impact fault.
Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015
State recognition of viscoelastic sandwich structures based on permutation entropy and generalized Chebyshev support vector machine.
Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015
2014
Kurtosis-Based Constrained Independent Component Analysis and Its Application on Source Contribution Quantitative Estimation.
IEEE Trans. Instrum. Meas., 2014
A Comparative Study of Information-Based Source Number Estimation Methods and Experimental Validations on Mechanical Systems.
Sensors, 2014
2013
An improved independent component analysis by reference signals and its application on source contribution estimation.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013
2011
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011
2010
Intelligent technique and its application in fault diagnosis based on granular computing.
Int. J. Granul. Comput. Rough Sets Intell. Syst., 2010
2009
Intelligent Technique and Its Application in Fault Diagnosis of Locomotive Bearing Based on Granular Computing.
Proceedings of the Advances in Neural Networks, 2009
Proceedings of the Sixth International Symposium on Neural Networks, 2009
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009
2008
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008
2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Hybrid Intelligent Forecasting Model Based on Empirical Mode Decomposition, Support Vector Regression and Adaptive Linear Neural Network.
Proceedings of the Advances in Natural Computation, First International Conference, 2005