Mechanical Systems and Signal Processing

This dataset includes the acceleration data acquired during an experimental study on rolling element bearings characterized by artificial defects on the outer ring. Signals were acquired for a number of operative conditions. These were characterized by different values of applied load, shaft rotation frequency and defect dimension. The uploaded files include: - a .rar archive containing all the acceleration signals as .txt files; - a readme file in .pdf format which contains information about the test bench, the test conditions and how to interpret the .txt files.

This zipped folder contains the measurment data used for the redaction of the manuscript number MSSP19-711 untitled “Inverse identification of the acoustic pressure inside a U-shaped pipe line based on acceleration measurements”. A "ReadMe" text file provides informations about the various data.

all data sets are provided, please send me an email if you have any questions

Matlab codes and data to reproduce the manuscript results.

The dataset contains raw data and processed data.

The PyFEST application written in Python language allows a simple and accurate frequency estimation of generated or measured signals. Our focus is on analyzing the vibration response of structures to detect cracks in an early state.

Contains the raw experimental data (in .mat format) for the case study presented in section 6 of the paper 'On the completeness of interface descriptions and the consistency of blocked forces obtained in-situ'. An additional .m file is included with data descriptions.

These modules are the simulations shown in paper: Redundant localization system for automatic vehicles, published by Elsevier Mechanical Systems and Signal Processing journal. Authors: Jose Angel Flores Granados, Jordi Mongay Batalla (corresponding author) and Cengiz Togay.

Videos demonstrating the decomposition resulting from our proposed method. Each specific test scenario is specified in the data of the file.

Source code for Example 3.5 from the paper "Determining Lyapunov exponents of non-smooth systems: perturbation vectors approach" (Balcerzak, Stefański, Dąbrowski, Błażejczyk-Okolewska)