GitHub topics: vibration-analysis
permas4edu/permas4edu
Collection of finite element models
Language: HTML - Size: 646 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 14 - Forks: 1
Indr1d-C0ld/seismic_pi
Sismografo casalingo a base di Raspberry Pi + Sensore MPU-6050, con propria dashboard, pannello di amministrazione e interfacciamento a Telegram
Language: HTML - Size: 13.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
thibaut-hirschler/UTBM-MQ44-TD
A collection of Jupyter notebooks for mechanical engineering students interested in structural dynamics.
Language: Jupyter Notebook - Size: 3.94 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
ecstayalive/Sparrow
This is a project for mechanical fault detection. The reason why it is called cute little bird may be because the eyesight of birds is particularly good, and they can detect small bugs. Besides, they are cute too. In the current version, we have tested some planetary gearbox vibration data in the lab, and there are 8 error types in total. And use Capsule Neural Networks for pattern recognition to detect error types in vibrations and it works really well.
Language: Python - Size: 36.2 MB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 2
VictorBauler/awesome-bearing-dataset
Bearing fault detection public datasets collection.
Size: 28.8 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0
ManuelHormazabal/LEST_NI_DAQ
MATLAB scripts for data acquisition using the National Instruments DAQ system available in the LEST laboratory of the Univesity of Minho.
Language: MATLAB - Size: 61.5 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
Western-OC2-Lab/Vibration-Based-Fault-Diagnosis-with-Low-Delay
Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay, IEEE Trans. on Instrumentation and Measurement, Aug. 2022. Techniques used: Wavelet Packet Transform (WPT) & Fast Fourier Transform (FFT). Application: vibration-based fault diagnosis.
Language: Jupyter Notebook - Size: 795 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 47 - Forks: 13
aaaastark/Accelerometer-Sensors-Analysis
Time Series Analysis: Accelerometer Sensors of Object Inclination and Vibration. Time Series Analysis by using different (State of Art Models) Machine and Deep Learning. Recurent Neural Network with CuDNNLSTM Model, Convolutional Autoencoder, Residual Network (ResNet) and MobileNet Model.
Size: 16.6 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
yu-xw/FVRMD-based-DMPI
A method for distributed modal parameters identifiction: distributed single-channel based parameters estimation at edge; multi-channel modal parameters integration at remote.
Language: Jupyter Notebook - Size: 680 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
DeepDynaSim/Active-Vibration-Control-Complete-Guide
A Comprehensive Guide to Active Control Methodology for Smart Beams
Language: MATLAB - Size: 6.11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ArthurVL-maker/Gauge_factor
gauge_factor.py - A Python algorithm for calculating the gauge factor of the input bars for split-Hopkinson pressure bar experiments
Language: Python - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
ArthurVL-maker/SHPB_Processing
SHPB_Processing.py - An open-source Python algorithm for correcting stress wave dispersion in split-Hopkinson pressure bar experiments
Language: Python - Size: 41 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
josepfontm/EOVmitigation
Repository containing multiple EOV Mitigation Procedures for Structural Health Monitoring.
Language: Python - Size: 35.7 MB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
Yashodhanvivek/AIoT_Vibration_Prediction_EdgeDL
This project discusses implementation of deep learning model deployment for vibration prediction of motor
Language: C - Size: 7.44 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
