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Adaptive stochastic resonance

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Dominant Frequency Extraction For Operational Underwater Sound Of Offshore Wind Turbines Using Adaptive Stochastic Resonance, Rongxin Wang, Xiaomei Xu, Zheguang Zou, Longfei Huang, Yi Tao Oct 2022

Dominant Frequency Extraction For Operational Underwater Sound Of Offshore Wind Turbines Using Adaptive Stochastic Resonance, Rongxin Wang, Xiaomei Xu, Zheguang Zou, Longfei Huang, Yi Tao

Faculty and Student Publications

Underwater sound generated by the rapidly increasing offshore wind farms worldwide greatly affects the underwater soundscape and may cause long-term cumulative effects on sound-sensitive marine organisms. However, its analysis and impact assessment are heavily interfered with by underwater ambient noise. In this study, an adaptive stochastic resonance method is proposed to extract the dominant frequency of wind turbine operational sound when heavy noise is present. In particular, a time–frequency–amplitude fusion index was proposed to guide the parameter tuning of an adaptive stochastic resonance system, and an equilibrium optimizer based on the physical dynamic source–sink principle was adopted to optimize the …