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Jiakai Ding
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2020 – today
- 2024
- [j5]Yi Wang, Jiakai Ding, Haoran Sun, Yi Qin, Baoping Tang:
Deep signal separation for adaptive estimation of instantaneous phase from vibration signals. Expert Syst. Appl. 246: 123187 (2024) - [j4]Jiakai Ding, Yi Wang, Yi Qin, Baoping Tang:
Adaptive Global Noise Suppression Deep Deconvolution for Weak Fault Signature Mining of Aero-Engine Accessory Casing. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - 2023
- [j3]Jiakai Ding, Yi Wang, Yi Qin, Baoping Tang:
Deep time-frequency learning for interpretable weak signal enhancement of rotating machineries. Eng. Appl. Artif. Intell. 124: 106598 (2023) - 2020
- [j2]Jiakai Ding, Dongming Xiao, Xuejun Li:
Gear Fault Diagnosis Based on Genetic Mutation Particle Swarm Optimization VMD and Probabilistic Neural Network Algorithm. IEEE Access 8: 18456-18474 (2020) - [j1]Jiakai Ding, Liangpei Huang, Dongming Xiao, Xuejun Li:
GMPSO-VMD Algorithm and Its Application to Rolling Bearing Fault Feature Extraction. Sensors 20(7): 1946 (2020) - [c2]Xiaoping Hu, Yajun Wang, Jiakai Ding, Dongming Xiao:
Robust H-infinity State Estimation of Uncertain Neural Networks with Two Additive Time-Varying Delays. MLIS 2020: 229-240
2010 – 2019
- 2017
- [c1]Guoquan Liu, Chaomin Luo, Jianlong Qiu, Xianxi Luo, Jiakai Ding:
State estimation for BAM neural networks with mixed time delays. CASE 2017: 1506-1509
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last updated on 2024-08-05 21:12 CEST by the dblp team
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