Stochastic resonance energy harvesting from general rotating shaft vibrations

2017 ◽  
Author(s):  
Hongjip Kim ◽  
Wei Che Tai ◽  
Lei Zuo
Keyword(s):  
Energy Harvesting ◽  
Stochastic Resonance ◽  
Resonance Energy ◽  
Rotating Shaft

An application of stochastic resonance for energy harvesting in a bistable vibrating system

2014 ◽  
Vol 333 (12) ◽  
pp. 2568-2587 ◽  
Author(s):  
Rencheng Zheng ◽  
Kimihiko Nakano ◽  
Honggang Hu ◽  
Dongxu Su ◽  
Matthew P. Cartmell
Keyword(s):  
Energy Harvesting ◽  
Stochastic Resonance ◽  
Vibrating System

scholarly journals A Two-Step Cooperative Energy Detection Algorithm Robust to Noise Uncertainty

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Tingting Yang ◽  
Yucheng Wu ◽  
Liang Li ◽  
Weiyang Xu ◽  
Weiqiang Tan
Keyword(s):  
Stochastic Resonance ◽  
Signal To Noise Ratio ◽  
Resonance Energy ◽  
Energy Detection ◽  
Detection Algorithm ◽  
Second Step ◽  
Final Decision ◽  
Noise Uncertainty ◽  
Robust To Noise ◽  
Significant Increment

In order to achieve accurate interference detection in complex electromagnetic environments, a two-step cooperative stochastic resonance energy detection (TCSRED) algorithm is proposed to address the problem, where the traditional energy detection (ED) performance is susceptible to noise uncertainty. By combining two thresholds and two-step cooperation, the generalized stochastic resonance is applied to the energy detection, which effectively reduces the complexity and detection time. In particular, when a certain decision result is obtained in the first step of detection, the decision is finished and the second step of detection is unnecessary. Otherwise, the second step of detection is performed to obtain the final decision result. Simulation results show that the proposed algorithm is robust to the noise uncertainty. Even in the case of a low signal-to-noise ratio (SNR), it also performs better than existing methods without significant increment of the complexity.

Improving energy harvesting by stochastic resonance in a laminated bistable beam

2016 ◽  
Vol 131 (3) ◽  
Author(s):  
HaiTao Li ◽  
WeiYang Qin ◽  
Wangzheng Deng ◽  
Ruilan Tian
Keyword(s):  
Energy Harvesting ◽  
Stochastic Resonance
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