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Predictive Maintenance in Hydraulic Pump

Version 22.2.2.5 (12.4 MB) by Steve Miller
Predictive maintenance algorithm developed using digital twin of hydraulic pump modeled in Simscape
5.0
(3)

1.9K Downloads

Updated 14 Oct 2022

From GitHub

View License on GitHub

This example models a triplex pump with a predictive maintenance algorithm that can detect which parts of the pump are failing simply by monitoring the pump output pressure.
The Simscape model of the pump can be configured to model degraded behavior due to seal leakage, blocked inlets, bearing wear, and broken motor windings. MATLAB code shows how to accelerate testing by reusing results from previous simulations. The model can be used to generate training data for the machine learning algorithm and can be used to test the deployed algorithm. MATLAB Live Scripts show you how to develop the algorithm.
Mechanical, hydraulic, and electrical parameters are all defined in MATLAB which lets you easily resize the pump. The pump housing is imported from CAD.
Please read the README.md file to get started.
Use the "Download" button above to get files compatible with the latest release of MATLAB.
Use the links below to get files compatible with earlier releases of MATLAB.
See how to model a fluid actuation system in Simscape (7 min):
https://www.mathworks.com/videos/modeling-a-hydraulic-actuation-system-68833.html
Try these free, hands-on tutorials to learn how to use Simscape:
Read the e-book “Predictive Maintenance with MATLAB”
  • https://www.mathworks.com/content/dam/mathworks/tag-team/Objects/p/93060v00_Predictive_Maintenance_e-book_v04.pdf
Find other Simscape examples by searching posts for the keyword "physical modeling"
http://www.mathworks.com/matlabcentral/fileexchange/?term=%22physical+modeling%22
Learn more about MathWorks Simscape Products:
http://www.mathworks.com/physical-modeling/

Cite As

Steve Miller (2023). Predictive Maintenance in Hydraulic Pump (https://github.com/mathworks/Simscape-Triplex-Pump/releases/tag/22.2.2.5), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2022b
Compatible with R2017b to R2022b
Platform Compatibility
Windows macOS Linux
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CAD/Import

Libraries/MML_Core/Libraries

Libraries/MML_Core/Libraries/+forcesPS

Libraries/MML_Core/Libraries/+forcesPS/+hydraulic

Libraries/MML_Core/Libraries/+forcesPS/+math

Libraries/MML_Core/Libraries/+forcesPS/+mechanical

Libraries/MML_Core/Scripts_Data

Libraries/MML_Core/Scripts_Data/Doc

Libraries/MML_Core/Test_Models

Scripts_Data

Workflows/Fault_Detect

Workflows/Fault_Sweep

Workflows/Param_Est

Workflows/Testing

CAD/Import

Libraries

Libraries/MML_Core/Libraries

Libraries/MML_Core/Test_Models

Libraries/MML_Core/Test_Models/html

Overview

Workflows/Fault_Detect

Workflows/Fault_Sweep

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
22.2.2.5

See release notes for this release on GitHub: https://github.com/mathworks/Simscape-Triplex-Pump/releases/tag/22.2.2.5
22.1.2.5

See release notes for this release on GitHub: https://github.com/mathworks/Simscape-Triplex-Pump/releases/tag/22.1.2.5
21.2.2.4

See release notes for this release on GitHub: https://github.com/mathworks/Simscape-Triplex-Pump/releases/tag/21.2.2.4
21.1.2.3

See release notes for this release on GitHub: https://github.com/mathworks/Simscape-Triplex-Pump/releases/tag/21.1.2.3
20.2.2.2

See release notes for this release on GitHub: https://github.com/mathworks/Simscape-Triplex-Pump/releases/tag/20.2.2.2
20.1.2.1

See release notes for this release on GitHub: https://github.com/mathworks/Simscape-Triplex-Pump/releases/tag/20.1.2.1
19.2.2.0

See release notes for this release on GitHub: https://github.com/mathworks/Simscape-Triplex-Pump/releases/tag/19.2.2.0
1.3.0.2

Connected to GitHub repository.
1.3.0.1

Added links to download files compatible with earlier releases of MATLAB.
1.3.0.0

Added R2019a version.
1.2.0.0

Added R2018b version.
1.1.0.0

Added R2018a version. Contact me for R2017b version.
1.0.0.0

Initial version.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.