Open AccessDynamics analysis of multi-field coupled piezoelectric energy harvester under random excitation
Author(s) -
Xuhui Zhang,
Miao Zuo,
Houzhi Tan,
Z. Q. Wu,
Zhengpeng Lai,
Hongwei Fan
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/531/1/012038
Subject(s) - spectral density , vibration , excitation , probability density function , random vibration , monte carlo method , power (physics) , truncation (statistics) , white noise , energy (signal processing) , noise (video) , gaussian , acoustics , control theory (sociology) , physics , engineering , computer science , mathematics , electrical engineering , telecommunications , statistics , image (mathematics) , control (management) , quantum mechanics , artificial intelligence
Automaatic fully mechanized mining face requires highly equipment condition monitoring. Complex environment of coalmine means the difficulty of wiring and power supply of wired monitoring. The multi-field coupled piezoelectric energy harvester (MPEH) could power wireless monitoring nodes by capture vibration energy from mining equipment. This paper makes a complete investigation of the distance effect of magnet, noise spectrum density and damping on the dynamic response characteristics of the MPEH under random excitation. Taking white Gaussian noise as input excitation, a dynamic model of the MPEH with random excitation in multiple fields is established. The probability density function of dynamic response under different system parameters is obtained by FPK equation, and the stationary mean square value and power spectral density function of system response are given by the ignored high order cumulant truncation method. In order to verify the accuracy of analytical results, the Monte Carlo numerical analysis is presented. Results show that the decrease of the magnetic distance will cause the moving of peak power spectrum frequency to low frequency. Reducing system damping ratio, narrowing magnetic distance or increasing excitation spectral density can enhance the probability of large period vibration and increase the average power of the system.