Diploma in Predictive Maintenance Systems
Why this certificate program?
The Diploma in Predictive Maintenance Systems
This program prepares you to lead the transformation towards proactive asset management. Learn to reduce costs, minimize downtime, and extend the useful life of your equipment through data analysis and the application of innovative technologies. This program provides you with the tools to implement effective PdM strategies, from selecting monitoring techniques to interpreting results and making strategic decisions.
This program prepares you to lead the transformation towards proactive asset management.
Differential Advantages
- Mastery of Key Techniques: Vibration analysis, infrared thermography, oil analysis, ultrasound.
- Practical Implementation: Development of predictive maintenance plans tailored to your industry.
- Advanced Data Analysis: Use of specialized software for early fault detection.
- Resource Optimization: Improved operational efficiency and reduced maintenance costs.
- Professional Certification: Validation of your knowledge and skills in predictive maintenance.
- Modality: Online
- Level: Diplomado
- Hours: 800 H
- Start date: 11-06-2026
Availability: 1 in stock
Who is it aimed at?
- Maintenance engineers looking to implement predictive strategies and optimize asset management.
- Maintenance technicians interested in deepening their knowledge of vibration analysis, thermography, and ultrasound techniques.
- Plant managers and maintenance supervisors who want to reduce costs, minimize unscheduled downtime, and improve the reliability of their equipment.
- Engineering students and recent graduates seeking added value with practical knowledge in predictive maintenance.
- Consultants and maintenance service providers who want to expand their offerings with innovative predictive solutions.
Study flexibility: Adaptable to your pace: virtual platform available 24/7, consultation forums and downloadable material to access whenever and wherever you want.
Objectives and competencies
Optimize asset reliability and availability:
Implement predictive and corrective maintenance strategies, analyzing performance data to anticipate failures and reduce downtime.
Implement PdM strategies to minimize unexpected failures:
“Establish a predictive maintenance program based on vibration analysis, thermography and oil analysis, prioritizing critical equipment and optimizing the frequency of inspections according to criticality and failure history.”
Mastering advanced data analysis techniques for predictive diagnostics:
“Implement machine learning models (regression, classification, clustering) to anticipate failures, optimize maintenance, and improve operational efficiency.”
Reduce maintenance costs by predicting failures:
Implement a predictive maintenance program based on data analysis (vibration, temperature, lubrication) and non-destructive inspections, optimizing repair planning and minimizing downtime.
Leading the transition to proactive, data-driven maintenance:
“Implement a predictive maintenance strategy by integrating sensor data, vibration analysis, and machine learning to optimize availability and reduce operating costs.”
Integrate cutting-edge technologies into maintenance management:
Implement IoT-based predictive monitoring systems and data analytics to optimize maintenance scheduling and reduce unplanned downtime.
Curriculum - Modules
- Comprehensive Maritime Incident Management: protocols, roles, and chain of command for coordinated response
- Operational Planning and Execution: briefing, routes, weather windows, and go/no-go criteria
- Rapid Risk Assessment: criticality matrix, scene control, and decision-making under pressure
- Operational Communication: VHF/GMDSS, standardized reports, and inter-agency liaison
- Tactical Mobility and Safe Boarding: RHIB maneuvers, approach, mooring, and recovery
- Equipment and Technologies: PPE, signaling, satellite tracking, and field data logging
- Immediate Care of the Affected: primary assessment, hypothermia, trauma, and stabilization for evacuation
- Adverse Environmental Conditions: swell, Visibility, flows, and operational mitigation
Simulation and training: critical scenarios, use of VR/AR, and exercises with performance metrics
Documentation and continuous improvement: lessons learned, indicators (MTTA/MTTR), and SOP updates
- Introduction to predictive maintenance and the triad: vibrations, thermography, and oil analysis.
- Vibration fundamentals: amplitude, frequency, phase, spectra.
- Vibration data acquisition: sensors, measurement techniques, safety.
- Vibration spectrum analysis: identification of common faults (imbalance, misalignment, looseness).
- Infrared thermography: physical principles, radiation, emissivity, reflectivity.
- Thermography equipment: cameras, analysis software, configuration, and calibration.
- Thermography applications: inspection of electrical and mechanical equipment and insulation systems.
- Lubricating oil analysis: oil properties, contamination, wear.
- Oil Sampling Techniques: procedures, precautions, representativeness.
- Interpretation of Oil Analysis Results: viscosity, TAN, TBN, wear metals.
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- Introduction to Predictive Maintenance: Fundamentals and Benefits
- Vibration Principles: Amplitude, Frequency, Phase, and Harmonics
- Instrumentation for Vibration Analysis: Accelerometers, Data Collectors, and Analyzers
- Vibration Data Acquisition Techniques: Measurement Points, Parameters, and Configuration
- Time and Frequency Domain Analysis: Spectra, Waveforms, and Envelopes
- Identifying Common Faults Through Vibration Analysis: Imbalance, Misalignment, and Mechanical Looseness
- Infrared Thermography: Physical Principles, Emissivity, and Reflectance
- Applications of Thermography in Maintenance: Detection of Hot Spots, Electrical Faults, and Insulation Problems
- Fundamentals of Lubrication: Types of lubricants, properties, and selection
Lubricant analysis: viscosity, contamination, wear, and service life
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- Introduction to Predictive Maintenance (PdM): Concepts and Benefits
- Vibration Fundamentals: Amplitude, Frequency, Phase, and Spectra
- Vibration Data Acquisition: Sensors, Equipment, and Measurement Techniques
- Vibration Analysis I: Identifying Common Faults (Imbalance, Misalignment, Looseness)
- Infrared Thermography: Principles, Equipment, and Applications in PdM
- Lubricant Analysis: Types of Analysis, Interpretation of Results
- Tribology: Wear, Friction, and Lubrication in Machinery
- Integration of PdM Techniques: Correlation of Vibration Data, Thermography, and Analysis oils
- Reporting and Diagnosis: Preparation of reports, recommendations, and action plans
- Case Studies and Practical Examples
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- Introduction to Vibration Analysis: Basic Concepts, Terminology, and Units
- Fundamentals of Vibration: Frequency, Amplitude, Phase, and Waveform
- Instrumentation for Vibration Analysis: Accelerometers, Tachometers, and Data Collectors
- Data Acquisition Techniques: Measurement Points, Instrument Setup, and Sampling Strategies
- Frequency Spectrum Analysis: Identification of Frequency Components and Vibration Patterns
- Infrared Thermography: Physical Principles, Equipment, and Measurement Techniques
- Applications of Thermography: Hot Spot Detection, Thermal Pattern Analysis, and Insulation Evaluation
- Visual Inspection: Identification of Surface Defects, Corrosion, and Leaks
- Integration of the Three techniques: comparative analysis, correlation of results, and fault diagnosis.
Preparation of reports and recommendations: data presentation, interpretation of results, and corrective action plans.
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- System Architecture and Components: Structural design, materials, and subsystems (mechanical, electrical, electronic, and fluid) with selection and assembly criteria for marine environments
- Fundamentals and Principles of Operation: Physical and engineering foundations (thermodynamics, fluid mechanics, electricity, control, and materials) that explain performance and operating limits
- Safety and Environmental (SHE): Risk analysis, PPE, LOTO, hazardous atmospheres, spill and waste management, and emergency response plans
- Applicable Regulations and Standards: IMO/ISO/IEC requirements and local regulations;
- Conformance criteria, certification, and best practices for operation and maintenance
- Inspection, testing, and diagnostics: Visual/dimensional inspection, functional testing, data analysis, and predictive techniques (vibration, thermography, fluid analysis) to identify root causes
- Preventive and predictive maintenance: Hourly/cycle/seasonal plans, lubrication, adjustments, calibrations, consumable replacement, post-service verification, and operational reliability
- Instrumentation, tools, and metrology: Measuring and testing equipment, diagnostic software, calibration and traceability; selection criteria, safe use, and storage
- Onboard integration and interfaces: Mechanical, electrical, fluid, and data compatibility; Sealing and watertightness, EMC/EMI, corrosion protection, and interoperability testing.
Quality, acceptance testing, and commissioning: process and materials control, FAT/SAT, bench and sea trials, go/no-go criteria, and evidence documentation.
Technical documentation and integrated practice: logs, checklists, reports, and a complete case study (safety → diagnosis → intervention → verification → report) applicable to any system.
- Introduction to Predictive Maintenance: Concepts, benefits, and applications.
- Vibration Fundamentals: Amplitude, frequency, phase, and vibration types.
- Vibration Data Acquisition: Sensors, analyzers, and measurement techniques.
- Vibration Analysis in Rotating Machinery: Imbalance, misalignment, and mechanical clearances.
- Infrared Thermography: Principles, equipment, measurement techniques, and thermal image analysis.
- Thermography Applications in Maintenance: Detection of hot spots, insulation failures, etc.
- Ultrasound: Fundamentals, equipment, measurement techniques, and applications.
- Ultrasound Applications in Maintenance: Leak detection, bearing inspection, etc.
Integration of Techniques: Combination of vibration, thermography, and ultrasound for a complete diagnosis.
Reports and Recommendations: Preparation of technical reports, interpretation of results, and maintenance recommendations.
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Career opportunities
- Predictive Maintenance Technician: Collection and analysis of vibration, thermography, ultrasound, and oil analysis data to detect incipient equipment failures.
- Reliability Engineer: Implementation of predictive maintenance programs, optimization of maintenance strategies, and improvement of asset reliability.
- Maintenance Consultant: Advising companies on the implementation of predictive maintenance systems, technology selection, and personnel training.
- Maintenance Manager: Management of maintenance teams, planning of predictive maintenance activities, and monitoring of equipment condition.
- Maintenance Data Analyst: Processing and analysis of large volumes of maintenance data to identify patterns, trends, and opportunities for improvement.
- Predictive Maintenance Technology Specialist: Development and application of new predictive maintenance technologies. such as artificial intelligence and machine learning.
- Predictive Maintenance Trainer: Delivering courses and workshops on predictive maintenance techniques and the use of diagnostic equipment.
- Asset Manager: Optimizing the asset lifecycle through the application of predictive maintenance strategies and cost reduction.
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Admission requirements
Academic/professional profile:
Degree/Bachelor's degree in Nautical Science/Maritime Transport, Naval/Marine Engineering, or a related field; or proven professional experience in bridge/operations.
Language proficiency:
Recommended functional maritime English (SMCP) for simulations and technical materials.
Documentation:
Updated resume, copy of degree or seaman's book, ID card/passport, letter of motivation.
Technical requirements (for online):
Equipment with camera/microphone, stable connection, ≥ 24” monitor recommended for ECDIS/Radar-ARPA.
Admission process and dates
1. Online
application
(form + documents).
2. Academic review and interview
(profile/objectives/schedule compatibility).
3. Admission decision
(+ scholarship proposal if applicable).
4. Reservation of place
(deposit) and registration.
5. Induction
(access to campus, calendars, simulator guides).
Scholarships and grants
- Predictive Techniques Mastery: Learn to implement and manage predictive maintenance (PdM) strategies to optimize the reliability and availability of your assets.
- Advanced Data Analysis: Master the use of tools and software for data analysis, pattern identification, and early failure detection.
- Cost Reduction and Optimization: Implement strategies that allow you to reduce maintenance costs, minimize downtime, and improve operational efficiency.
- Professional Certification: Obtain a recognized diploma that validates your knowledge and skills in predictive maintenance systems, boosting your professional development.
- Practical Cases and Simulations: Apply the acquired knowledge Through real-world case studies and practical simulations, guaranteeing effective applied learning. Boost the efficiency of your operations and become an expert in predictive maintenance.
Testimonials
This diploma program provided me with the tools and knowledge necessary to implement a predictive maintenance program at my plant. Thanks to the techniques I learned, we were able to reduce unscheduled downtime by 30% and optimize maintenance costs by 15% during the first year of implementation.
The Diploma in Artificial Intelligence & Nautical Big Data provided me with the tools and knowledge necessary to develop a system for predicting optimal routes for vessels, considering variables such as weather conditions and ocean currents. This system, implemented in my company, has reduced travel times by 15% and fuel consumption by 12%, generating a significant positive impact on the efficiency and profitability of our operations.
This diploma provided me with the tools and knowledge necessary to implement a predictive maintenance program in my company, which resulted in a 20% reduction in equipment downtime and a 15% savings in maintenance costs during the first year.
This diploma program provided me with the tools and knowledge necessary to implement a predictive maintenance system in my plant. Thanks to the techniques I learned, we were able to reduce unscheduled downtime by 30% and optimize maintenance costs by 15% during the first year.
Frequently asked questions
Predictive maintenance is a strategy that uses data and analysis to predict when equipment is likely to fail, allowing proactive maintenance interventions to prevent failure and optimize performance.
Yes. The itinerary includes ECDIS/Radar-ARPA/BRM with harbor, ocean, fog, storm, and SAR scenarios.
Online with live sessions; hybrid option for simulator/practical placements through agreements.
Implement data-driven predictive maintenance strategies to anticipate and prevent equipment and machinery failures, optimizing availability and reducing costs.
Recommended functional SMCP. We offer support materials for standard phraseology.
Yes, with a relevant degree or experience in maritime/port operations. The admissions interview will confirm suitability.
Optional (3–6 months) through Companies & Collaborations and the Alumni Network.
Simulator practice (rubrics), defeat plans, SOPs, checklists, micro-tests and applied TFM.
A degree from Navalis Magna University + operational portfolio (tracks, SOPs, reports and KPIs) useful for audits and employment.
- Introduction to the Predictive Trilogy: Thermography, Vibration, and Oil Analysis.
- Infrared Thermography: Physical principles, radiation, emissivity, and reflectivity.
- Thermographic Equipment: Cameras, optics, analysis software, and safety.
- Applications of Thermography: Electrical, mechanical, building, and process.
- Vibration Analysis: Fundamentals, spectra, FFT, and vibration types.
- Vibration Sensors: Accelerometers, velocity and displacement transducers.
- Oil Analysis: Viscosity, contamination, particle wear, and additives.
- Oil Sampling: Techniques, sampling points, Frequency and documentation.
- Data Integration: Correlation of results and informed decision-making.
- Preparation of reports and corrective action plans.
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Request information
Complete the Application Form.
Attach your CV/degree certificate (if you have it to hand).
Indicate your preferred cohort (January/May/September) and whether you would like the hybrid option with simulator sessions.
An academic advisor will contact you within 24–48 hours to guide you through the admission process, scholarships, and compatibility with your professional schedule.
Faculty
Eng. Tomás Riera
Full Professor
Eng. Tomás Riera
Full Professor
Naval engineer specializing in the selection, integration, and optimization of propulsion systems for yachts, high-speed craft, and service vessels.
Eng. Sofía Marquina
Full Professor
Eng. Sofía Marquina
Full Professor
Materials engineer specializing in marine composites and corrosion protection systems for ships, yachts, and port structures.
Eng. Javier Bañuls
Full Professor
Eng. Javier Bañuls
Full Professor
Naval electrical engineer with over fifteen years of experience in the design, integration, and operation of power and automation systems.
Dr. Nuria Llobregat
Full Professor
Dr. Nuria Llobregat
Full Professor
Specialist in meteorological and operational decision-making for coastal and offshore navigation, integrating wind, wave, and current models.
Dr. Pau Ferrer
Full Professor
Dr. Pau Ferrer
Full Professor
Naval engineer with a PhD in applied hydrodynamics and over a decade of experience designing high-performance hulls and marine structures.
Cap. Javier Abaroa (MCA)
Full Professor
Cap. Javier Abaroa (MCA)
Full Professor
MCA-certified captain with command of ocean-going vessels, specializing in advanced maneuvering, navigation management, and bridge safety.