Development of Advanced Process Monitoring Techniques Using Artificial Intelligence | Blazingprojects Postgraduate Thesis
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Development of Advanced Process Monitoring Techniques Using Artificial Intelligence

 

Table Of Contents


  • 1.Introduction  
  • 1.1Background and motivation  
  • 1.2Objectives of the project
  • 2.Literature Review  
  • 2.1Overview of process monitoring techniques  
  • 2.2Role of artificial intelligence in process monitoring
  • 3.Data Acquisition and Preprocessing  
  • 3.1Selection of process variables and sensors  
  • 3.2Data preprocessing and feature extraction
  • 4.Development of AI-Based Monitoring Models  
  • 4.1Selection of machine learning algorithms  
  • 4.2Training and validation of monitoring models
  • 5.Real-Time Implementation and Validation  
  • 5.1Integration of AI-based monitoring systems in industrial processes  
  • 5.2Validation and performance assessment

Thesis Abstract

This project focuses on the development of advanced process monitoring techniques using artificial intelligence (AI) for chemical engineering applications. The project aims to explore the use of machine learning algorithms and AI-based models for real-time monitoring of chemical processes, with a focus on early fault detection, process optimization, and improved safety. The project will involve the development and validation of AI-based monitoring systems using process data from industrial case studies.


Thesis Overview

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