An Intensive 5-day Training Course

Predictive Maintenance with MATLAB

Skills for Engineering Professional

CPE - Continuing Professional Education
Predictive Maintenance with MATLAB
Predictive Maintenance with MATLAB

CLASSROOM DATES

Date Venue Fee CPE Credit
Date: 08-12 Dec 2025
Venue: Amsterdam
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 02-06 Feb 2026
Venue: London
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 20-24 Apr 2026
Venue: Dubai
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 15-19 Jun 2026
Venue: Dubai
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 14-18 Sep 2026
Venue: Barcelona
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 07-11 Dec 2026
Venue: Amsterdam
Fee: US $5,950
CPE Credit: 30
Enroll Now

INTRODUCTION

In today's asset-intensive industries, minimizing downtime and optimizing maintenance schedules are critical for maximizing productivity and profitability. This EuroMaTech Predictive Maintenance with MATLAB Training course introduces the powerful capabilities of MATLAB for implementing predictive maintenance strategies. Participants will learn how to leverage MATLAB's extensive toolboxes and functions for data analysis, signal processing, machine learning, and simulation to develop robust predictive maintenance solutions. Through hands-on exercises and real-world examples, participants will gain practical skills in analyzing sensor data, building predictive models, and visualizing results to enable proactive maintenance decisions and improve asset reliability.

This Predictive Maintenance with MATLAB training course will highlight:

  • MATLAB's powerful toolboxes: Utilizing Signal Processing, Machine Learning, and Predictive Maintenance toolboxes for effective analysis
  • Data preprocessing and feature extraction: Cleaning and transforming sensor data for accurate model building
  • Building predictive models: Developing regression, classification, and time-series models within the MATLAB environment
  • Fault detection and diagnostics: Using MATLAB to identify and analyze equipment failures
  • Simulation with Simscape/Simulink: Creating virtual models for testing and validating predictive maintenance strategies
  • Data visualization and reporting: Generating clear and informative outputs for informed decision-making
  • Real-time implementation and integration: Deploying MATLAB models for continuous monitoring
  • Case studies and practical exercises: Applying learned concepts to real-world industrial scenarios

TRAINING OBJECTIVES

Upon completion of this Predictive Maintenance with MATLAB training course, participants will be able to:

  • Understand the Fundamentals of Predictive Maintenance: Grasp the core concepts and benefits of predictive maintenance
  • Utilize MATLAB for Data Acquisition and Preprocessing: Learn how to import, clean, and transform sensor data within the MATLAB environment
  • Apply Signal Processing Techniques for Feature Extraction: Use MATLAB's signal processing toolbox to extract relevant features from sensor data
  • Develop Predictive Maintenance Models using MATLAB: Build and evaluate machine learning models, including regression, classification, and time-series models, within MATLAB
  • Implement Fault Detection and Diagnostics: Use MATLAB to develop algorithms for detecting and diagnosing equipment faults
  • Visualize and Interpret Predictive Maintenance Results: Create informative visualizations and dashboards using MATLAB's plotting and graphical capabilities
  • Integrate MATLAB with Real-Time Systems: Understand how to deploy MATLAB models for real-time monitoring and predictive maintenance
  • Simulate System Behavior: Use MATLAB's Simscape or Simulink to simulate equipment behavior, and create synthetic data for model training

WHO SHOULD ATTEND?

This Predictive Maintenance with MATLAB training course is designed for engineers, analysts, and maintenance professionals involved in asset management and reliability, including:

  • Maintenance Engineers
  • Reliability Engineers
  • Mechanical Engineers
  • Electrical Engineers
  • Data Analysts
  • Anyone Interested in Using MATLAB for Predictive Maintenance Applications
Training methodology

TRAINING METHODOLOGY

This Predictive Maintenance training course will employ a blend of interactive learning methods to maximize participant engagement and knowledge retention:

  • Lectures and Presentations: Providing foundational knowledge and theoretical concepts
  • Hands-on Labs and Exercises: Enabling participants to apply learned concepts using MATLAB
  • Case Studies and Real-World Examples: Illustrating the practical application of MATLAB in predictive maintenance
  • Interactive Q&A Sessions: Addressing participant questions and providing personalized guidance
  • Software Demonstrations: Showing how MATLAB tools and functions are used

TRAINING SUMMARY

Attendance on this EuroMaTech training course, will enable participants and their organisations to achieve the following:

  • Reduced equipment downtime and increased operational efficiency through early failure detection
  • Optimized maintenance schedules, minimizing unnecessary interventions and reducing maintenance costs
  • Improved asset lifespan and performance through data-driven predictive maintenance strategies
  • Enhanced decision-making through clear data visualization and analysis within MATLAB
  • Increased ability to simulate and validate maintenance strategies before implementation
  • Improved ability to monitor and control equipment through real time data analysis
  • Enhanced ability to develop and deploy predictive maintenance solutions using MATLAB
  • Improved problem-solving skills through hands-on exercises and real-world case studies
  • Increased confidence in analyzing and interpreting sensor data for asset health monitoring
  • Enhanced ability to contribute to cost-saving and efficiency-improving initiatives
  • Increased marketability as a skilled professional in predictive maintenance using a powerful industry tool

TRAINING OUTLINE

Day 1: Introduction to Predictive Maintenance and MATLAB Fundamentals
  • Course Introduction and Objectives
  • Introduction to Predictive Maintenance: Concepts, Benefits, and Challenges
  • Introduction to MATLAB Environment and Interface
  • Data Types, Variables, and Basic Operations in MATLAB
  • Data Import and Export in MATLAB (e.g., from CSV, Excel, Databases)
  • Data Visualization in MATLAB (Plots, Graphs)
  • Basic Scripting and Functions in MATLAB
  • Introduction to MATLAB Toolboxes Relevant to Predictive Maintenance
Day 2: Data Preprocessing and Signal Processing
  • Data Cleaning and Handling Missing Values in MATLAB
  • Data Transformation and Normalization
  • Introduction to Signal Processing Concepts
  • Time-Domain Analysis in MATLAB (e.g., Statistical Features)
  • Frequency-Domain Analysis in MATLAB (e.g., FFT, Spectrograms)
  • Feature Extraction from Signals Using MATLAB's Signal Processing Toolbox
  • Hands-on Lab: Data Preprocessing and Signal Analysis
Day 3: Machine Learning for Predictive Maintenance
  • Introduction to Machine Learning Concepts and Algorithms
  • Regression Models in MATLAB (e.g., Linear Regression, Support Vector Regression)
  • Classification Models in MATLAB (e.g., Decision Trees, Support Vector Machines)
  • Time-Series Analysis and Forecasting in MATLAB
  • Model Evaluation and Performance Metrics
  • Hands-On Lab: Building and Evaluating Machine Learning Models
Day 4: Fault Detection, Diagnostics, and Simulation
  • Fault Detection and Anomaly Detection in MATLAB
  • Fault Diagnostics and Root Cause Analysis
  • Introduction to Simscape/Simulink for System Simulation
  • Building Simulation Models for Predictive Maintenance
  • Generating Synthetic Data for Training Models
  • Hands-On Lab: Fault Detection and Simulation
Day 5: Real-Time Implementation, Integration, and Advanced Topics
  • Deploying MATLAB Models for Real-Time Monitoring
  • Integrating MATLAB with External Systems (e.g., Databases, Sensors)
  • Creating Dashboards and Reports in MATLAB
  • Advanced Topics: Deep Learning for Predictive Maintenance (If Applicable)
  • Case Studies: Real-World Applications of MATLAB in Predictive Maintenance
  • Group Project: Developing a Predictive Maintenance Solution
  • Q & A and Course Wrap-Up
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    ACCREDITATION

    EuroMaTech is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.NASBARegistry.org.

    Euromatech is a Knowledge & Human Development Authority (KHDA) approved training institute in Dubai, licensed and approved to deliver training courses in the UAE.

    The KHDA is the regulatory authority in the UAE, that oversees administering, approving, supervising, and controlling the activities of various education providers in the UAE.  We are proud of our commitment to ensuring quality training courses and status as a KHDA-approved training provider.

    FAQ

    EuroMaTech provides a range of ISO certification and compliance training courses, including:

    • ISO 9001 – Quality Management Systems Training
    • ISO 45001 – Occupational Health & Safety Management Training
    • ISO 14001 – Environmental Management Systems Training

    These courses help organizations adopt internationally recognized standards and improve their overall performance.

    To register for a training course, you can:

    1. Visit the EuroMaTech website, browse the available courses, and follow the online registration process.
    2. Contact EuroMaTech’s support team for assistance with course selection or inquiries about corporate training solutions.

    EuroMaTech stands out as a leader in training and professional development due to:

    • 30+ years of experience delivering high-impact training courses across industries.
    • Accreditations from leading institutions, ensuring top-tier course quality and recognition.
    • A portfolio of thousands of training courses, serving professionals at every level.
    • A focus on innovation and future-ready learning models, including blended and digital training.
    • Long-term partnerships with organizations globally, ensuring sustained success through talent development.

    EuroMaTech has successfully delivered thousands of training courses, with thousands of professionals from over 50 countries attending annually.

    We are happy to share the profiles of our expert instructors. To learn more about their qualifications and experience, please contact us [email protected]

    We provide two flexible training formats to suit your preferences:

    • Classroom Training: Experience in-person learning with expert instructors. Engage in interactive discussions, hands-on activities, and benefit from face-to-face networking.
    • Online Training: Join live online sessions from anywhere, offering flexibility for those with busy schedules or who prefer remote learning.
    • In-House Training: We can bring our training directly to your organization, allowing for tailored sessions that address your specific needs and objectives.

    Yes, we provide tailored training solutions designed to meet the specific needs of your organization. Customized courses can be delivered either in-person or online, and you can select the dates and duration that best fit your schedule. For more details, please contact us at [email protected]

    Yes, we can assist you with the following:

    • Corporate Discount: If available, we can extend our corporate discount for your stay at selected hotels.
    • Hotel Suggestions: We can provide recommendations for nearby hotels based on your preferences and budget.
      Feel free to explore online booking platforms for the most cost-effective options.

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