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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Li, Yang / Meng, Xiangyin / Xu, Feiyun / Xiao, Shide: Intelligent fault diagnosis of hoisting systems under complex working conditions using deep graph convolutional generative adversarial networks with limited data. In: Structural Health Monitoring.

    https://doi.org/10.1177/14759217241279789

  2. Wen, Jiakang / Ma, Tianchi / Zhang, Tao / Xu, Feiyun: A compressor blade crack detection method based on the multilevel information fusion of acoustic and vibration signals. In: Structural Health Monitoring.

    https://doi.org/10.1177/14759217241283353

  3. Ma, Tianchi / Shen, Junxian / Song, Di / Xu, Feiyun (2024): A two-level fusion model of vibro-acoustic signals for centrifugal fan blade crack detection. In: Structural Health Monitoring, v. 23, n. 6 (February 2024).

    https://doi.org/10.1177/14759217241229213

  4. Shen, Junxian / Ma, Tianchi / Song, Di / Xu, Feiyun (2024): Quantitative blade damage detection based on multisource domain and multistage joint transfer. In: Structural Health Monitoring, v. 23, n. 6 (February 2024).

    https://doi.org/10.1177/14759217231226381

  5. Li, Yang / Meng, Xiangyin / Xiao, Shide / Xu, Feiyun / Lee, Chi-Guhn (2023): Multivariate variational mode decomposition and generalized composite multiscale permutation entropy for multichannel fault diagnosis of hoisting machinery system. In: Structural Health Monitoring, v. 23, n. 3 (September 2023).

    https://doi.org/10.1177/14759217231195275

  6. Shen, Junxian / Ma, Tianchi / Song, Di / Xu, Feiyun (2023): Incremental learning BiLSTM based on dynamic proportional adjustment mechanism and experience replay for quantitative detection of blade crack propagation. In: Structural Health Monitoring, v. 23, n. 2 (July 2023).

    https://doi.org/10.1177/14759217231170723

  7. Shen, Junxian / Song, Di / Ma, Tianchi / Xu, Feiyun (2023): Blade crack detection based on domain adaptation and autoencoder of multidimensional vibro-acoustic feature fusion. In: Structural Health Monitoring, v. 22, n. 5 (February 2023).

    https://doi.org/10.1177/14759217221139134

  8. Li, Yang / Lee, Chi‐Guhn / Xu, Feiyun (2022): Acoustic emission sources localization and identification of complex metallic structures based on nearfield frequency space sparse decomposition. In: Structural Control and Health Monitoring, v. 29, n. 11 (September 2022).

    https://doi.org/10.1002/stc.3064

  9. Ma, Tianchi / Song, Di / Shen, Junxian / Xu, Feiyun (2022): Blade crack detection using variational model decomposition and time-delayed feedback nonlinear tri-stable stochastic resonance. In: Structural Health Monitoring, v. 22, n. 2 (May 2022).

    https://doi.org/10.1177/14759217221109882

  10. Song, Di / Shen, Junxian / Ma, Tianchi / Xu, Feiyun (2022): Two-level fusion of multi-sensor information for compressor blade crack detection based on self-attention mechanism. In: Structural Health Monitoring, v. 22, n. 3 (September 2022).

    https://doi.org/10.1177/14759217221116599

  11. Li, Yang / Zou, Lei / Lee, Chi-Guhn / Xu, Feiyun (2022): A progressive decomposing and double screening strategy of VMD for weak fault extraction of hoisting machinery. In: Structural Health Monitoring, v. 22, n. 2 (May 2022).

    https://doi.org/10.1177/14759217221105646

  12. Zhao, Xun / Xue, Lige / Xu, Feiyun (2021): Asphalt pavement paving segregation detection method using more efficiency and quality texture features extract algorithm. In: Construction and Building Materials, v. 277 (March 2021).

    https://doi.org/10.1016/j.conbuildmat.2021.122302

  13. Song, Di / Xu, Feiyun / Hu, Jianzhong / Ma, Tianchi (2019): Fault feature recognition of centrifugal compressor with cracked blade based on SNR estimation and adaptive stochastic resonance. In: Structural Health Monitoring, v. 22, n. 1 (November 2019).

    https://doi.org/10.1177/14759217221084880

  14. Song, Di / Xu, Feiyun / Ma, Tianchi (2022): Crack damage monitoring for compressor blades based on acoustic emission with novel feature and hybridized feature selection. In: Structural Health Monitoring, v. 21, n. 6 (March 2022).

    https://doi.org/10.1177/14759217211068107

  15. Li, Yang / Xu, Feiyun (2022): Acoustic emission and moving window-improved kernel entropy component analysis for structural condition monitoring of hoisting machinery under various working conditions. In: Structural Health Monitoring, v. 21, n. 4 (January 2022).

    https://doi.org/10.1177/14759217211033627

  16. Li, Yang / Xu, Feiyun (2021): All-phase fast Fourier transform and multiple cross-correlation analysis based on Geiger iteration for acoustic emission sources localization in complex metallic structures. In: Structural Health Monitoring, v. 21, n. 3 (August 2021).

    https://doi.org/10.1177/14759217211027481

  17. Li, Yang / Xu, Feiyun (2021): Structural condition monitoring and identification of laser cladding metallic panels based on an acoustic emission signal feature optimization algorithm. In: Structural Health Monitoring, v. 20, n. 3 (January 2021).

    https://doi.org/10.1177/1475921720945637

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