Artykuły z 2021 (1)
1. Adaptive stochastic resonance in bistable system driven by noisy NLFM signal: phenomenon and application / Chen Yang, Jianhua Yang, Dengji Zhou, Shuai Zhang and Grzegorz Litak // Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.- 2021, vol. 379, nr 2192, s. 1-18 [MNiSW: 100]
Artykuły z 2020 (1)
1. Novel Adaptive Search Method for Bearing Fault Frequency Using Stochastic Resonance Quantified by Amplitude-Domain Index / Dawen Huang, Jianhua Yang, Dengji Zhou, and Grzegorz Litak // IEEE Transactions on Instrumentation and Measurement.- 2020, vol. 69, nr 1, s. 109-121 [MNiSW: 100]
Artykuły z 2019 (2)
1. Feature extraction under bounded noise background and its application in low speed bearing fault diagnosis / Jin Zhang, Jianhua Yang, Grzegorz Litak and Eryi Hu // Journal of Mechanical Science and Technology.- 2019, vol. 33, nr 7, s. 3193-3204 [MNiSW: 70]
2. Influence of Poisson White Noise on the Response Statistics of Nonlinear System and Its Applications to Bearing Fault Diagnosis / Dawen Huang, Jianhua Yang, Dengji Zhou, Grzegorz Litak and Houguang Liu // Journal of Computational and Nonlinear Dynamics.- 2019, vol. 14, nr 3, s. 1-11 [MNiSW: 70]
Artykuły z 2017 (1)
1. Improving the bearing fault diagnosis efficiency by the adaptive stochastic resonance in a new nonlinear system / Xiaole Liu, Houguang Liu, Jianhua Yang, Grzegorz Litak, Gang Cheng, Shuai Han // Mechanical Systems and Signal Processing.- 2017, vol. 96, s. 58-76 [MNiSW: 45]
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