References
- Zhang, T., Xu, F., Jia, M. (2022). A centrifugal fan blade damage identification method based on the multi-level fusion of vibro-acoustic signals and CNN. Measurement, 199, 111475.
https://doi.org/10.1016/j.measurement.2022.111475 - Wang, X., Mao, D., Li, X. (2021). Bearing fault diagnosis based on vibro-acoustic data fusion and 1D-CNN network. Measurement, 173 (6), 108518.
https://doi.org/10.1016/j.measurement.2020.108518 - Xu, Z., Ye, T., Chen, L., Gao, Y., Chen, Z. (2025). Health-radar: Noncontact multitarget heart rate variability detection using FMCW radar. IEEE Sensors Journal, 25 (1), 405–418.
https://doi.org/10.1109/JSEN.2024.3494755 - Luo, J., Chen, Y., Huang, Q., Zhang, S., Zhang, X. (2023). Joint application of VMD and IWOA-PNN for gearbox fault classification via current signal. IEEE Sensors Journal, 23 (12), 13155–13164.
https://doi.org/10.1109/JSEN.2023.3269594 - Chang, Y., Bao, G., Cheng, S., He, T., Yang, Q. (2021). Improved VMD-KFCM algorithm for the fault diagnosis of rolling bearing vibration signals. IET Signal Processing.
https://doi.org/10.1049/sil2.12026 - Liu, G., Chen, B. (2021). The pressure characteristics analysis of oil pulsation flow based on VMD. Scientific Reports, 11, 17390.
https://doi.org/10.1038/s41598-021-96860-0 - Song, M., Wang, J., Zhao, H., Li, Y. (2022). Bearing failure of reciprocating compressor sub-health recognition based on CAGOA-VMD and GRCMDE. Advances in Mechanical Engineering.
https://doi.org/10.1177/16878132221082975 - Wang, Y., Zhang, Q., Cao, R., Zhang, S., Li, S., Xu, D. (2023). The single-channel blind source separation based on VMD and Tukey M estimation for rolling bearing composite fault diagnosis. Measurement & Control, 56 (9–10).
https://doi.org/10.1177/00202940231174405 - Jiang, X., Wang, J., Shi, J., Shen, C., Huang, W., Zhu, Z. (2019). A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines. Mechanical Systems and Signal Processing, 116, 668–692.
https://doi.org/10.1016/j.ymssp.2018.07.014 - Song, D., Feng, G., Qi, T., Wang, H., Pan, D., Zhang, L. (2025). A new combined transient electromagnetic noise reduction method of VMD-SVD-WTD based on improved dung beetle optimization algorithm with multi-strategy fusion. Measurement Science and Technology, 6 (1), 016105.
https://doi.org/10.1088/1361-6501/ad7e42 - Glowacz, A., Sulowicz, M., Kozik, J., Piech, K., Glowacz, W., Li, Z., Brumercik, F., Gutten, M., Korenciak, D., Kumar, A., Lucas, G. B., Irfan, M., Caesarendra, W., Liu, H. (2024). Fault diagnosis of electrical faults of three-phase induction motors using acoustic analysis. Bulletin of the Polish Academy of Sciences: Technical Sciences, 72 (1), e148440.
https://doi.org/10.24425/bpasts.2024.148440 - Chao, Q., Tao, J., Wei, X., Wang, Y., Meng. L., Liu, C. (2020). Cavitation intensity recognition for high-speed axial piston pumps using 1-D convolutional neural networks with multi-channel inputs of vibration signals. Alexandria Engineering Journal, 59 (6), 4463–4473.
https://doi.org/10.1016/j.aej.2020.07.052 - Bao, X., Fan, T., Shi, C., Yang, G. (2021). One-dimensional convolutional neural network for damage detection of jacket-type offshore platforms. Ocean Engineering, 219, 108293.
https://doi.org/10.1016/j.oceaneng.2020.108293 - Zeng, D., Wu, D., Huang, H., Peng, B., Wei, Y., Du, H., Zhang, P., Shi, H., Lu, Q., Cai, X. (2025). Online identification of laser welding penetration through multi-photoelectric decomposition-reconstruction and shifted-windows-based transformer deep learning framework. Measurement, 247, 116872.
https://doi.org/10.1016/j.measurement.2025.116872 - Wang, L., Deng, X., Ge, P., Dong, C., Bethel, B. J., Yang, L., Xia, J. (2022). CNN-BiLSTM-attention model in forecasting wave height over south-east China seas. Computers, Materials & Continua, 73 (1), 2151–2168.
https://doi.org/10.32604/cmc.2022.027415 - Han, R., Wang, J., Wan, Y., Bao, J., Jiang, X., Zhang, Z., Han, B., Ji, S. (2024). Attention mechanism guided sparse filtering for mechanical intelligent fault diagnosis under variable speed condition. Measurement Science and Technology, 35, 042001.
https://doi.org/10.1088/1361-6501/ad197a - Xiang, L., Wang, P., Yang, X., Hu, A., Su, H. (2021). Fault detection of wind turbine based on SCADA data analysis using CNN and LSTM with attention mechanism. Measurement, 175 (8), 109094.
https://doi.org/10.1016/j.measurement.2021.109094 - Xu, Z., Li, C., Yang, Y. (2021). Fault diagnosis of rolling bearings using an improved multi-scale convolutional neural network with feature attention mechanism. ISA Transactions, 110, 379–393.
https://doi.org/10.1016/j.isatra.2020.10.054 - Zhang, W., Yang, J., Bo, X., Yang, Z. (2024). A dual attention mechanism network with self-attention and frequency channel attention for intelligent diagnosis of multiple rolling bearing fault types. Measurement Science and Technology, 35 (3), 036112.
https://doi.org/10.1088/1361-6501/ad1811 - Yang, A., Xie, B., Liu, Y., Wang, L., Li, J. (2024). A network security situation prediction for consumer data in the internet of things using variational mode decomposition (VMD) and fused CNN-BiLSTM-attention. IEEE Transactions on Consumer Electronics, 70 (1), 1122–1133.
https://doi.org/10.1109/TCE.2023.3323546 - Ding, M., Shi, Z., Du, B., Wang, H., Han, L. (2021). A signal de-noising method for a MEMS gyroscope based on improved VMD-WTD. Measurement Science and Technology, 32 (9), 095112.
https://doi.org/10.1088/1361-6501/abfe33 - Zhang, Z., Liu, B., Liu, Y., Zhang, H. (2022). Fault feature-extraction method of aviation bearing based on maximum correlation Renyi entropy and phase-space reconstruction technology. Entropy, 24 (10), 1459.
https://doi.org/10.3390/e24101459 - Xue, J., Shen, B. (2023). Dung beetle optimizer: A new meta-heuristic algorithm for global optimization. The Journal of Supercomputing, 79, 7305–7336.
https://doi.org/10.1007/s11227-022-04959-6 - Gholami, R., Hodtani, G. A. (2020). A more general information theoretic study of wireless location verification system. IEEE Transactions on Vehicular Technology, 69 (9), 9938–9950.
https://doi.org/10.1109/TVT.2020.3003806 - Li, Y., Zhang, H., Ma, S., Cheng, G., Yao, Q., Zuo, C. (2024). A novel method based on stepwise variational modal decomposition and gramian angular difference field for bearing health monitoring. Arabian Journal for Science and Engineering, 49 (11), 15773–15786.
https://doi.org/10.1007/s13369-024-09320-y - Qi, L., Zhang, Q., Xie, Y., Zhang, J., Ke, J. (2024). Research on wind turbine fault detection based on CNN-LSTM. Energies, 17 (17), 4497.
https://doi.org/10.3390/en17174497 - Qu, D., Wang, S., Liu, H., Meng, Y. (2022). A car-following model based on trajectory data for connected and automated vehicles to predict trajectory of human-driven vehicles. Sustainability, 14 (12), 7045.
https://doi.org/10.3390/su14127045 - Case Western Reserve University. Bearing Data Center.
- Muthulakshmi, V., Shajin, F. H., Rose, J. D., Rajesh, P. (2024). Generative adversarial networks classifier optimized with water strider algorithm for fake tweets detection. IETE Journal of Research, 70 (2), 1556–1571.
https://doi.org/10.1080/03772063.2023.2172466 - Wang, X., Liu, W. Y., Zhang, Y., Gu, H. (2020). A novel wind turbine fault diagnosis method based on generator current analysis. Journal of Vibroengineering, 22 (8).
https://doi.org/10.21595/jve.2020.21336 - Yao, Z., Zhang, T., Wang, Q., Zhao, Y. (2022). Short-term power load forecasting of integrated energy system based on attention-CNN-DBILSTM. Mathematical Problems in Engineering.
https://doi.org/10.1155/2022/1075698