jonathantsilva / si-cavitation

🔬 Diagnostic system for hydraulic pump failures by means of electric current analysis and machine learning tools.

Scientific Iniciation - Cavitation

🔬 Diagnostic system for hydraulic pump failures by means of electric current analysis and machine learning tools.

Table of Contents

About The Project | Getting Started | Quick Guide | Contributing | License | Contact

About the Project

The condition monitoring of equipment is essential in industries, in order to prevent failures and ensure higher quality to activities, reducing the downtime and increasing plant availability. In this context, this work proposes the identification of current and voltage characteristics when operating hydraulic pumps through an experimental bench. A prototype of a hydraulic system was created for data collection, and through a developed algorithm, relevant information is extracted from the studied signals, coming from the industrial process. Machine learning tools for extracting and selecting attributes (such as standard deviation, entropy, harmonics, among others) are used to identify characteristics correlated with hydraulic pump failures. The results achieved should help industries to make better use of the data generated in the field, resulting in a longer useful life of their equipment when implementing the system.

Getting Started

Quick Guide

Contributing

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Jonathan T. da Silva - [email protected]
Project Link: JonathanTSilva/SI-Cavitation

si-cavitation's Issues

What is 'packetRawData' in main.m?

in you main.m, load the data (maybe dataxxx.mat) first, but what is the variable 'packetRawData'? thanks

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