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Source code, simulation and data analysis scripts, and relevant data for "Power-efficient piezoelectric fatigue measurement using long-range wireless sensor networks"

Repository URI

https://www.repository.cam.ac.uk/handle/1810/294063

Repository DOI

https://doi.org/10.17863/CAM.40017
Thumbnail Image

Files

repository.zip (1.04 GB)
 Readme.txt (719 B)

Type

Dataset

Change log

Authors

Xu, Xiaomin  ORCID logo  https://orcid.org/0000-0002-1255-9026
Fidler, Paul  ORCID logo  https://orcid.org/0000-0003-4594-4323

Description

This dataset consists of the simulation and experimental data, data analysis scripts, and the source code of our wireless sensor system for fatigue strain cycles monitoring, published in "Power-efficient piezoelectric fatigue measurement using long-range wireless sensor networks", Smart Materials and Structures, 2019. The dataset contains several Readme files in various folders - see these for further details.

Version

Software / Usage instructions

Instructions on how to use the data are given in Readme.md files

Keywords

fatigue, strain cycles, PVDF, analogue peak-trough detector, interrupt-driven, rainflow cycle counting algorithm, LoRa

Publisher

Rights and licensing

GNU General Public License v3.0
Except where otherwised noted, this item's license is described as GNU General Public License v3.0
Sponsorship
Engineering and Physical Sciences Research Council (EP/N021614/1)
Technology Strategy Board (920035)
Engineering and Physical Sciences Research Council (EP/P013848/1)

Relationships

Supplements:
https://www.repository.cam.ac.uk/handle/1810/294466
https://doi.org/10.1088/1361-665X/ab2c46

Collections

Research Data - Engineering