Analysis of piezoelectric energy harvester under modulated and filtered white Gaussian noise-Reference-Cited by-同舟云学术

Analysis of piezoelectric energy harvester under modulated and filtered white Gaussian noise

Published:2018-05 Issue: Volume:104 Page:134-144
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Quaranta Giuseppe^ORCID,Trentadue Francesco,Maruccio Claudio,Marano Giuseppe C.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference39 articles.

1. Coupling analysis of linear vibration energy harvesting systems;Wang;Mech. Syst. Signal Process.,2016

2. A dimensionless analysis of a 2DOF piezoelectric vibration energy harvester;Xiao;Mech. Syst. Signal Process.,2015

3. Electroelastic modeling and experimental validations of piezoelectric energy harvesting from broadband random vibrations of cantilevered bimorphs;Zhao;Smart Mater. Struct.,2013

4. Piezoelectric energy harvesting from broadband random vibrations;Adhikari;Smart Mater. Struct.,2009

5. Design and analysis of vibration energy harvesters based on peak response statistics;Adhikari;Smart Mater. Struct.,2016

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