Toward a Self-Powered Vibration Sensor: The Signal Processing Strategy

This paper, for the first time, investigates possibility of exploiting a nonlinear bistable snap-through buckling structure employing piezoelectric transducers, to implement an autonomous sensor mechanical vibrations, with embedded energy harvesting functionality. The device is operated in presence noisy vibrations superimposed on subthreshold deterministic (sinusoidal) input signal. While capability harvest significant amount has been demonstrated previous works, here, we focus signal processing methodology aimed extract from output information about noise level (in terms standard deviation) and root mean square amplitude component. developed methodology, supported by experimental evidence, removes contribution overall voltage ascribable component using thresholding windowing algorithm. due can be used unambiguously estimate level. Moreover, analytical model estimate, measurement voltage, RMS noise-related proposed.