استخراج انرژی الکتریکی از نوسانات مکانیکی تصادفی توسط سامانه های الکترومکانیکی خطی و غیر خطی: مقایسه نوفه های مختلف

We investigate harvesting electrical energy from Gaussian white, Gaussian colored, telegraph and random phase-random amplitude (RARP) noises, using linear and nonlinear electromechanical systems. We show that the output power of the linear system with one or two degrees of freedom, is maximum for the Gaussian white noise. The response of the system with two degrees of freedom is widened in a larger frequency domain compared to that of a single degree of freedom system. A nonlinear system generates more power than a linear one.