Course on Automation of Railway Workshops
About our
The Railway Workshop Automation Course focuses on the implementation of advanced technologies to optimize operations in the repair and maintenance of rolling stock. It explores the application of robotics, control systems, and sensors to automate processes such as component inspection, welding, and assembly, improving efficiency and safety. The course examines industrial communication networks and the use of specialized software for production management and data analysis, with a focus on railway safety and compliance with specific regulations. The course offers practical training in the operation of automation equipment and PLC programming, preparing participants for roles such as automation technicians, maintenance engineers, and process specialists, capable of implementing comprehensive solutions for the modernization of railway workshops. The importance of cybersecurity in industrial environments and data analysis for supply chain optimization is addressed. Target keywords (natural in the text): railway automation, industrial robotics, railway maintenance, PLCs, sensors, process control, railway safety.
Course on Automation of Railway Workshops
- Format:
- Duration:
- Hours: 300 H
- Language:
- Credits:
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 5
699 $
Competencies and results
What you will learn
1. Automation of Processes and Maintenance in Railway Workshops
- Understand the fundamentals of automation applied to railway workshops, including control systems, robotics, and sensors.
- Acquire knowledge of predictive and preventive maintenance of railway equipment, using diagnostic techniques and data analysis.
- Study the different welding and cutting processes used in the railway industry, and the associated safety regulations.
- Learn to manage the inventory of spare parts and materials in railway workshops, optimizing the supply chain.
- Become familiar with the software and simulation tools used for the design and optimization of processes in railway workshops.
2. Implementation and Optimization of Automated Systems in Railway Workshops
## What will you learn in Implementation and Optimization of Automated Systems in Railway Workshops?
1. Master the fundamentals of automation applied to the railway industry, including:
* Principles of **PLC programming** (Programmable Logic Controllers).
* Concepts of **industrial robotics** and its applications in railway maintenance.
* Design and implementation of **SCADA systems** (Supervisory Control and Data Acquisition) for remote monitoring and control.
2. Delve into process optimization and information management in railway workshops:
* Application of **Big Data** and **Predictive Analytics** techniques for maintenance.
* Implementation of **MES systems** (Manufacturing Execution System) for production tracking.
* Development of **predictive maintenance strategies** based on data analysis.
3. Learn to implement specific automated systems for key tasks in railway workshops:
* Automation of inspection and diagnostic processes for railway components.
* Design and implementation of automated assembly lines for train repair and rebuilding.
* Integration of machine vision systems for defect detection and quality control.
4. Acquire knowledge of relevant regulations and standards for railway automation:
* Understand safety regulations and certification requirements for automated systems.
* Become familiar with industry best practices and emerging trends in railway automation.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. Integration and Management of Automation in Railway Workshops
4. Integration and Management of Automation in Railway Workshops
- Understand the architecture of industrial automation systems applied to railway maintenance.
- Analyze the key components of automation: PLC, HMI, SCADA, and their integration.
- Design and implement programming routines for process control in railway workshops.
- Manage and optimize the use of industrial robots in inspection, repair, and assembly tasks.
- Integrate machine vision systems for quality control and defect detection.
- Apply predictive maintenance techniques and remote monitoring of automated equipment.
- Evaluate cybersecurity in automation environments and ensure data protection.
- Manage automation projects, including planning, budgeting, and risk management.
- Analyze production and maintenance data for continuous improvement and Decision-making.
Implement strategies for training and developing staff in automation technologies.
5. Analysis and Simulation of Automated Railway Systems
5. Analysis and Simulation of Automated Railway Systems
- Understand the architecture and operation of automated railway systems.
- Analyze the key components of railway control and signaling.
- Simulate train behavior in virtual environments using specialized software.
- Evaluate the performance of automated systems under different scenarios and operating conditions.
- Identify and solve problems related to railway automation.
- Apply data analysis techniques to optimize system performance and efficiency.
- Become familiar with regulations and safety standards in railway automation.
- Study case studies of successful automated railway systems.
- Develop skills in the design and implementation of railway automation solutions.
- Understand emerging trends in railway automation, such as artificial intelligence and the Internet of Things.
6. Automation, Control and Predictive Maintenance in Railway Workshops
6. Automation, Control, and Predictive Maintenance in Railway Workshops
- Understand the fundamentals of industrial automation applied to railway workshops, including SCADA and PLC systems.
- Acquire knowledge of process control, instrumentation, and measurement systems in railway environments.
- Master predictive maintenance techniques, such as vibration analysis, thermography, and oil analysis, for early fault detection.
- Study maintenance management strategies, including failure mode analysis and task planning.
- Learn to use software tools for data analysis, process simulation, and maintenance optimization.
- Become familiar with the regulations and safety standards applicable to the railway industry.
- Develop skills for diagnosing and troubleshooting automated systems and railway equipment.
- Apply the principles of Industry 4.0 for improving efficiency and productivity in railway workshops.
Understanding the role of robotics and artificial intelligence in automation and predictive maintenance.
Analyzing practical cases and case studies on the implementation of automation and predictive maintenance in railway workshops.
Who this program is for:
Course on Automation of Railway Workshops
- Engineers with degrees in Railway Engineering, Mechanical Engineering, Electrical Engineering, Electronic Engineering, or related disciplines.
- Professionals working in railway workshops, maintenance companies, railway operators, or systems integrators.
- Specialists in areas such as industrial automation, process control, robotics, and SCADA systems, who wish to deepen their knowledge in the railway sector.
- Technicians and maintenance personnel with experience in railway signaling, train control systems, and Workshop teams interested in automation.
Recommended requirements: Basic knowledge of programming, control logic, and PLC operation.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
1.1 Fundamentals of Automation in the Railway Industry
1.2 Principles of Maintenance in Railway Workshops
1.3 Control and Monitoring Systems in Railway Environments
1.4 Automation Components and Equipment: Sensors, Actuators, and PLCs
1.5 Introduction to Robotics in Railway Workshops
1.6 Predictive Maintenance: Techniques and Tools
1.7 Design of Scheduled Maintenance Routines
1.8 Failure Analysis and Troubleshooting in Automated Systems
1.9 Safety in Automated Work Environments
1.10 Case Studies: Practical Applications of Automation and Maintenance
2.2 Introduction to the Implementation of Automated Railway Systems
2.2 Design of Automated Systems: Workstations and Production Lines
2.3 Selection and Configuration of Components: Sensors, Actuators, and Controllers
2.4 Programming of PLCs and Distributed Control Systems (DCS) for Railways
2.5 Integration of Industrial Robots into Railway Processes
2.6 Implementation of Machine Vision Systems for Inspection and Quality Control
2.7 Industrial Communication and Networks in Railway Environments
2.8 Testing and Commissioning of Automated Railway Systems
2.9 Implementation Project Management: Costs, Time, and Resources
2.20 Best Practices and Case Studies in Railway Automation Implementation
3.3 Introduction to Automation in Railway Workshops
3.2 Key Components of Automation: Sensors, Actuators, and PLCs
3.3 Fundamentals of Applied Electronics and Pneumatics
3.4 Control Systems: Hardwired and Programmable Logic
3.5 Industrial Networks and Communication Protocols
3.6 Safety in Automated Railway Systems
3.7 Design Principles for Automated Systems
3.8 Introduction to Maintenance in Automated Environments
3.9 Simulation and Modeling Tools
3.30 Case Studies: Examples of Automation in the Railway Industry
4.4 Railway Automation Architecture: Levels and Structure
4.2 Industrial Communication Protocols in Railway Environments
4.3 Human-Machine Interfaces (HMIs) and SCADA Systems
4.4 Integration of Sensors and Actuators in Railway Systems
4.5 Connectivity and Industrial Networks for Railway Automation
4.6 Security in Automation: Cybersecurity and Data Protection
4.7 Information Management in Automated Railway Systems
4.8 Integration of Diagnostic and Remote Monitoring Systems
4.9 Testing and Commissioning of Automated Railway Systems
4.40 Case Studies: Implementation of Automation in Different Railway Workshops
5.5 Modeling and Simulation of Railway Systems
5.5 Analysis of Railway Electrical Circuits and Components
5.3 Simulation of Train Control Systems
5.4 Analysis of Signals and Systems in the Railway Industry
5.5 Simulation of Train and Track Dynamics
5.6 Route Optimization and Train Scheduling through Simulation
5.7 Failure and Reliability Analysis in Simulated Railway Systems
5.8 Predictive Maintenance Simulation in Railway Environments
5.9 Application of Simulation Tools in Workshop Design
5.50 Case Studies: Simulation and Analysis in Real Railway Projects
6.6 Introduction to Predictive Maintenance in the Railway Industry
6.2 Sensors and Technologies for Monitoring Railway Assets
6.3 Data Analysis and Fault Diagnosis in Railway Systems
6.4 Condition-Based Predictive Maintenance (CBM)
6.5 Predictive Maintenance Strategies for Critical Components
6.6 Implementation of Automation Systems for Remote Monitoring
6.7 Design and Implementation of Predictive Maintenance Plans
6.8 Data Management and Trend Analysis in Predictive Maintenance
6.9 Case Studies: Applications of Predictive Maintenance in Railway Workshops
6.60 Cost Optimization and Reliability Improvement Through Predictive Maintenance
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
Admissions, fees, and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us, and we will respond as soon as possible.
F. A. Q
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).