Vibration analysis course for motors
About our
The Motor Vibration Analysis Course provides specialized training in the study and diagnosis of vibrations in motors, using signal analysis techniques, sensors, and specific software tools. It focuses on fault identification, predictive maintenance, and performance improvement through frequency spectrum analysis, modal analysis, and the application of international standards and regulations. It emphasizes the identification of mechanical problems and their relationship to vibrations.
The program includes hands-on experience with vibration measurement and analysis equipment, preparing participants for roles such as diagnostic engineers, predictive maintenance technicians, and vibration analysts. This includes knowledge of rotor balancing, shaft alignment, and early fault detection in components such as bearings, gears, and connecting rods, in order to reduce downtime and optimize motor lifespan.
Vibration analysis course for motors
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
449 $
Competencies and results
What you will learn
1. Advanced Engine Fault Diagnosis: Vibration Analysis
- Evaluate and diagnose engine failures using vibration analysis.
- Identify and understand the underlying causes of engine vibrations.
- Apply vibration analysis techniques to detect failures in specific components.
- Interpret vibration data to determine the severity of failures and their impact on performance.
- Use specialized software for vibration analysis and report generation.
- Analyze flap-lag-torsion couplings, whirl flutter, and fatigue in engine systems.
- Dimension laminates in composites, joints, and bonded joints using FE (Finite Element).
- Implement damage tolerance and NDT (UT/RT/thermography) techniques for early failure detection.
2. Mastery of Vibration Analysis for Engine Health
- Identify and diagnose motor failures through vibration analysis.
- Understand the fundamental principles of vibration and its application in predictive maintenance.
- Use specialized equipment and software for the acquisition, processing, and analysis of vibration data.
- Interpret vibration spectra to detect patterns and anomalies indicative of motor problems.
- Apply vibration analysis techniques to identify faults in bearings, gears, rotors, and other critical components.
- Evaluate the health status of motors and predict potential failures.
- Develop maintenance strategies based on vibration analysis, optimizing maintenance intervals and reducing operating costs.
- Apply international standards and norms related to vibration analysis in motors.
- Analyze and understand the vibration modes of motor components.
- Apply Rotor balancing and shaft alignment techniques to minimize vibrations.
Generate accurate and concise technical reports on vibration analysis results.
Effectively communicate findings and recommendations to maintenance and management teams.
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. In-depth Engine Evaluation: Vibration Interpretation
Here is the requested content:
4. In-depth Engine Evaluation: Vibration Interpretation
- Identify and analyze the causes and effects of vibrations in engines, including the interpretation of vibration data to diagnose faults.
- Understand and apply vibration analysis techniques to identify critical vibration modes and resonances.
- Master coupling analysis, such as flap-lag-torsion, to predict and mitigate structural problems.
- Evaluate the whirl flutter phenomenon and its implications for engine stability, developing prevention strategies.
- Study fatigue mechanisms in engine components and apply methods to estimate service life and prevent failures.
- Use finite element (FE) simulation tools for the dimensioning of laminates in composite materials.
- Design and evaluate joints and bonded joints in engine components, optimizing their strength and durability.
- Apply the concept of damage tolerance to ensure structural integrity in the face of damage, developing inspection procedures.
- Implement non-destructive testing (NDT) techniques, including UT (ultrasound), RT (radiography), and thermography, for the early detection of faults.
- Interpret the results of NDT tests to evaluate the condition of engine components and make maintenance decisions.
5. Deciphering Vibrations: Learning Motors
5. Deciphering Vibrations: Engine Learning
- Identify and analyze vibration modes in engines, including the effects of flap-lag-torsion couplings.
- Understand and evaluate vibrational instability phenomena such as whirl flutter.
- Apply fatigue analysis techniques to predict the service life of critical components.
6. Expert Interpretation of Vibrations: Motor Failures
6. Expert Vibration Interpretation: Engine Failures
- Identify and analyze specific vibration patterns associated with engine failures.
- Diagnosticate problems in propulsion systems, including imbalance, misalignment, and play.
- Interpret vibration data to determine the severity of failures and predict their progression.
- Apply advanced spectral analysis techniques to identify critical frequencies and harmonics.
- Evaluate the influence of operating conditions on vibrations and their relationship to component lifespan.
- Understand the fundamentals of vibration monitoring and its role in predictive maintenance.
- Use specialized software for vibration data analysis and technical report generation.
Who this program is for:
Vibration analysis course for motors
- Engineers with degrees in Mechanical Engineering, Naval Engineering, Aeronautical Engineering, or related disciplines.
- Professionals from shipyards, naval maintenance companies, shipping companies, and classification organizations.
- Technicians and engineers in areas such as marine engines, propulsion systems, predictive maintenance, and naval operations.
- Navy and coast guard personnel interested in optimizing vessel performance and safety.
Recommended Requirements: Basic knowledge Fluid mechanics, vibration theory, and fault diagnosis. Prior experience in the naval sector will be valued. ES/EN B2+ (materials and support are provided in both languages).
- 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.
Module 1 — Fundamentals of Vibration Analysis
1.1 Principles of Vibration: Basic Concepts and Definitions
1.2 Types of Vibration: Free, Forced, Damped, Resonance
1.3 Vibration Sensors: Accelerometers, Velocity Meters, Proximates
1.4 Data Acquisition: Equipment Configuration and Calibration
1.5 Signal Processing: Fourier Transform (FFT), Spectra
1.6 Vibration Parameters: Amplitude, Frequency, Phase
1.7 Standards: ISO and other relevant regulations
1.8 Analysis Tools: Software and Practical Applications
1.9 Introduction to Interpretation: Common Vibration Patterns
1.10 Safety and Prevention: Risks associated with vibration analysis
2.2 Introduction to Vibration Analysis: Fundamentals
2.2 Types of Vibrations in Motors: Mechanical, Electrical, and Thermal
2.3 Instrumentation and Sensors: Selection and Use
2.4 Data Collection: Techniques and Best Practices
2.5 Signal Analysis: Frequency Spectrum Domain
2.6 Fault Identification: Imbalance, Misalignment, Clearance
2.7 Analysis of Common Failure Modes: Bearings, Gears, etc.
2.8 Advanced Diagnostics: Specialized Techniques
2.9 Interpretation of Results: Diagnosis and Prognosis
2.20 Practical Cases: Application in Marine Environments
3.3 Fundamentals of Vibration Analysis in Motors
3.2 Principles of Vibration Measurement in Motors
3.3 Types of Faults Detectable by Vibration
3.4 Equipment and Sensors for Vibration Analysis
3.5 Data Acquisition and Processing Techniques
3.6 Interpretation of Vibration Spectra
3.7 Diagnosis of Common Faults: Imbalance, Misalignment, Play
3.8 Diagnosis of Bearing and Gear Faults
3.9 Report and Recommendation Preparation
3.30 Practical Cases of Vibration Analysis in Motors
4.4 Fundamentals of Vibration Analysis in Marine Engines
4.2 Instrumentation and Sensors for Vibration Measurement
4.3 Vibration Data Collection and Quality
4.4 Vibration Signals and Patterns: Identifying Anomalies
4.5 Diagnosing Common Faults: Imbalance, Misalignment, and Looseness
4.6 Interpreting Frequency Spectra and Cascade Diagrams
4.7 Fault Severity Analysis: Criteria and Standards
4.8 Vibration Mitigation and Problem Solving Techniques
4.9 Practical Cases and Case Studies in Marine Engines
4.40 Vibration-Based Predictive Maintenance
5.5 Fundamentals of Vibration Analysis: Principles and Key Concepts
5.5 Introduction to Sensors and Transducers: Types and Applications in Engines
5.3 Data Acquisition and Processing: Configuration and Calibration
5.4 Frequency Spectrum Analysis: Interpretation and Initial Diagnosis
5.5 Identifying Common Faults: Imbalance, Misalignment, and Looseness
5.6 Case Study: Vibration Analysis of a Diesel Engine
5.7 Predictive Maintenance: Implementing a Vibration-Based Maintenance Program
5.8 Software Tools: Using Specialized Vibration Analysis Software
5.9 Regulations and Standards: Compliance and Best Practices
5.50 Evaluation and Conclusions: Final Report and Recommendations
6.6 Introduction to Vibration Analysis in Marine Engines
6.2 Fundamental Principles of Vibration: Key Concepts
6.3 Common Sources of Vibration in Marine Engines
6.4 Instrumentation and Sensors for Vibration Measurement
6.5 Vibration Data Acquisition and Processing Techniques
6.6 Interpretation of Frequency Spectra: Fault Identification
6.7 Trend Analysis and Condition Monitoring
6.8 Fault Diagnosis: Imbalance, Misalignment, and Backlash
6.9 Fault Diagnosis: Bearings and Gears
6.60 Practical Cases: Application of Vibration Analysis in Real Engines
- 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
- Vibration Diagnostics for Marine Engines: Comprehensive vibration analysis, fault identification, and troubleshooting.
- Vibration Analysis: Diagnosing faults in marine engines, early detection, and solutions.
- Expert Interpretation: Precise fault identification through vibration analysis.
- In-Depth Evaluation: Mastering vibration analysis for engine health and optimization.
- Vibration Diagnostics: Modeling and spectral analysis of faults in marine engines.
- Early Detection: Implementation of algorithms for vibration-based fault prediction.
- Failure Analysis: Study of practical cases and solutions to common engine failures.
- Comprehensive Evaluation: Development of a predictive monitoring system.
- Advanced Engine Diagnostics: Comprehensive vibration analysis and early fault detection.
- Engine Faults: Identification and troubleshooting of malfunctions through expert vibration analysis.
- Vibration Evaluation: Precise data interpretation and optimization of engine performance.
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”).