Journal ArticleDOI
Enhanced electrical performance of spring-supported magneto piezoelectric harvester to achieve 60 Hz under AC magnetic field
TLDR
In this article, a spring-supported magneto piezoelectric harvester (SMPH) operating under an AC magnetic field to generate enhanced electric performance was presented.About:
This article is published in Energy.The article was published on 2022-01-01. It has received 0 citations till now. The article focuses on the topics: Magnetic field & Voltage.read more
References
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Journal ArticleDOI
A nondestructive method for determining the spring constant of cantilevers for scanning force microscopy
TL;DR: The spring constant of microfabricated cantilevers used in scanning force microscopy (SFM) can be determined by measuring their resonant frequencies before and after adding small end masses as mentioned in this paper.
Journal ArticleDOI
Piezoelectric and ferroelectric materials and structures for energy harvesting applications
TL;DR: A detailed overview of the energy harvesting technologies associated with piezoelectric materials along with the closely related sub-classes of pyroelectrics and ferro-electrics can be found in this article.
Journal ArticleDOI
Micro electrostatic energy harvester with both broad bandwidth and high normalized power density
TL;DR: In this article, an electrostatic vibration energy harvester is proposed and fabricated with both broad bandwidth and high normalized power density (NPD, harvested power/volume/acceleration2).
Journal ArticleDOI
Management and applications of trust in Wireless Sensor Networks: A survey
TL;DR: This paper categorizes various types of malicious attacks against trust models and analyzes whether the existing trust models can resist these attacks or not, and lists several trust best practices that are essential for developing a robust trust model for WSNs.
Journal ArticleDOI
Novel Industrial Wireless Sensor Networks for Machine Condition Monitoring and Fault Diagnosis
Liqun Hou,Neil W. Bergmann +1 more
TL;DR: Experimental results show that, compared with raw data transmission, on-sensor fault diagnosis could reduce payload transmission data by 99%, decrease node energy consumption by 97%, and prolong node lifetime from 106 to 150 h, an increase of 43%.
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