The support dataset for paper "Prediction for loosening life of bolted joints using IMUs with dimensionality reduction"

Citation Author(s):
Zi
Fang
Shanghai Jiao Tong University
Submitted by:
Zi Fang
Last updated:
Mon, 07/08/2024 - 15:59
DOI:
10.21227/ehvr-g469
License:
0
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Abstract 

The support dataset for paper "Prediction for loosening life of bolted joints using IMUs with dimensionality reduction"

Instructions: 

This dataset includes the data, program and mechanical models for the paper "Prediction for loosening life of bolted joints using IMUs with dimensionality reduction".

The "Data_*" files include three part: "*_RawSignal" is the vibration signals collected from the experimental platform; "*_ProcessedVector" is the feature set after preprocessing and feature extraction; "*_CompressedVector" is the compressed feature set after dimensionality reduction and some final evaluation result.

The "program" file include the python virtual environment to run the code, as well as all the code for the paper. The program runs on Python3.6.8.

The "Mechanical_modeling" file include all the modeling of the experimental platform builed by SolidWorks2020. By opening "Final.SLDAM", you can see the final assembly.