RUL prediction model App

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Forgiveness Mangweni
Forgiveness Mangweni el 2 de Mayo de 2021
Respondida: Hari el 2 de Sept. de 2024
I am doing a project which requires RUL prediction, how do I design the RUL App that will be used without MATLAB?

Respuestas (1)

Hari
Hari el 2 de Sept. de 2024
Hi,
I understand you are working on a project that requires predicting the Remaining Useful Life (RUL) of a component or system, and you are interested in designing an application for this purpose that can operate independently of MATLAB.
I assume that you want to develop your RUL prediction model using MATLAB and want to deploy this model in an application accessible without requiring MATLAB.
Designing an RUL Prediction App:
  1. Develop Your RUL Model in MATLAB: Utilize MATLAB's extensive data processing and machine learning toolboxes to develop and validate your RUL prediction model.
  2. Convert Your Model for Deployment: Use MATLAB Compiler or MATLAB Compiler SDK to convert your model into a standalone application or a web app. This process involves creating a deployable archive of your MATLAB code.
  3. Design the User Interface (UI): For a standalone application, you can design a UI using MATLAB App Designer, which allows for drag-and-drop assembly of interfaces. For a web app, you might need additional web development skills or tools.
  4. Deploy the Application: Standalone applications can be distributed directly to end-users to run on their machines. Web apps can be hosted on MATLAB Web App Server or integrated into existing web infrastructure.
  5. Ensure Access to MATLAB Runtime: End-users do not need a MATLAB license to use the deployed app, but they will need the MATLAB Runtime, which is a free application available from MathWorks.
References:
Hope this helps!

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