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.

gauge_factor.py - A Python algorithm for calculating the gauge factor of the input bars for split-Hopkinson pressure bar experiments

A method for distributed modal parameters identifiction: distributed single-channel based parameters estimation at edge; multi-channel modal parameters integration at remote.

https://www.mdpi.com/2076-3417/12/21/10882/htm

This project discusses implementation of deep learning model deployment for vibration prediction of motor

MATLAB scripts for data acquisition using the National Instruments DAQ system available in the LEST laboratory of the Univesity of Minho.

Repository containing multiple EOV Mitigation Procedures for Structural Health Monitoring.

SHPB_Processing.py - An open-source Python algorithm for correcting stress wave dispersion in split-Hopkinson pressure bar experiments

Bearing fault detection public datasets collection.

A Comprehensive Guide to Active Control Methodology for Smart Beams

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 us…

Collection of finite element models

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.