This is the title of your module:
Advanced Marine Propulsion and High-Power Engine Project: Modular System Design, Energy Conversion and Management, Real-Time Control, and AI-Based Diagnostics for Certified Operations

1. Modular propulsion architecture: design principles based on functional blocks (generation, conversion, distribution, drive), standardized interfaces, plug-and-play connectivity, and strategies for hot-swapping in the propulsion plant.
2. Propulsion topologies: comparative analysis of classic mechanical shafts, electric propulsion (M/E, shaft generator, CPP, FPP), azimuth pods, and hybrid series/parallel systems; Selection criteria based on mission, efficiency, and maneuverability requirements.

   Power conversion and conditioning: marine transformers, rectifiers, multilevel inverters (NPC, IEC), DC-DC converters, harmonic filtering, and mitigation techniques for electromagnetic emissions compliance.

   Onboard electrical grid management: AC/DC architectures, marine microgrids, frequency and voltage control, generator synchronization, critical load control, and black start strategies.

   High-power propulsion: synchronous and asynchronous electric motors, reluctance machines, cryogenic and superconducting motors; thermal, torque, inertia, and drivetrain coupling considerations.

   Fuel conversion systems and alternative propulsion: integration of LNG, e-methanol, hydrogen, fuel cells, and high-density batteries. Storage systems, thermal management, and security in space-constrained environments.

   Real-time control: Design and implementation of embedded controllers (PLCs, RTOSs, FPGAs), vector control, Field-Oriented Control (FOC), model-based predictive control (MPC), and redundant strategies for 24/7 availability.

   Advanced diagnostics and predictive maintenance: Fault detection methodologies, vibration analysis, torque spectra, combustion monitoring, and data pipelines for asset health models (PHM) based on machine learning.

   Applied artificial intelligence: Neural network architectures for fault classification, convolutional networks for signal and Fourier analysis, time series models (LSTM, Transformer) for degradation prediction and real-time optimization.

   Digital twins: Creation of coupled multiphysics models (CFD+CAE+control system), real-time data synchronization, validation against sea trials, and Use in failure scenario simulation and operational optimization.

   Critical instrumentation: selection and integration of torque, speed, temperature, oil pressure sensors, triaxial accelerometers, combustion and emissions sensors; calibration, traceability, and tolerances to certify operability.

   Regulations, certification, and classification: IMO, SOLAS, MARPOL, DNV, LR, BV requirements and CE certifications; Verification and validation processes for electric and hybrid propulsion systems and acceptance criteria for sea trials.

   Functional safety and cybersecurity: application of IEC 61508/61511, SIL levels for critical systems, communication hardening (IEC 62443), key management, network segmentation, and incident response on offshore platforms.

   Ship control integration: interoperability with bridge systems, DP (dynamic positioning), energy management systems (EMS), standardized alarms, and best practices to minimize complex human-machine interfaces during emergencies.

   Conversion and retrofit methodologies: structural and stability assessment for plant changes, criteria for replacing internal combustion engines with electric ones, shutdown planning, risk management, and cost-benefit analysis for LCCs.

   Testing and commissioning: FAT/SAT protocol, dynamometer testing, integration testing, and curve analysis. Performance, vibration and acoustic testing, and a sea trial campaign with acceptance metrics.

   Consumption optimization and emissions reduction: optimal operating strategies, power curving, waste heat recovery, optimal battery charging, and compliance with Tier III and future emissions regulations.

   Reliability and availability analysis: powertrain-specific FMEA/FMECA, Markov models for availability, spare parts strategy, and logistics for remote route operations.

   Advanced simulation and CAE tools: CFD for propellers and waterflow, FEA for shafts and supports, electromagnetic modeling for machinery, and real-time simulators for crew training and controller validation.

   EMC/EMI and compatibility considerations: mass routing design, feed filtering, converter shielding, and compliance with standards to avoid interference with navigation and communication systems.

   Project planning and integrated management: technical roadmaps, Timelines, change management, coordination with shipyards and suppliers, and agile methodologies applied to highly complex marine engineering projects.

   Case studies and industrial application: analysis of real-world electric and hybrid propulsion conversion projects, lessons learned from high-power retrofits, and benchmarking of market-leading solutions.

   Team training and skills: certification requirements for operators and technicians, simulator training programs, emergency procedures, and maintenance protocols to ensure certified operation.

1. System Architecture and Components: Structural design, materials, and subsystems (mechanical, electrical, electronic, and fluid) with selection and assembly criteria for marine environments
2. Fundamentals and Principles of Operation: Physical and engineering foundations (thermodynamics, fluid mechanics, electricity, control, and materials) that explain performance and operating limits
3. Safety and Environmental (SHE): Risk analysis, PPE, LOTO, hazardous atmospheres, spill and waste management, and emergency response plans
4. Applicable Regulations and Standards: IMO/ISO/IEC requirements and local regulations;
5. Conformance criteria, certification, and best practices for operation and maintenance
6. Inspection, testing, and diagnostics: Visual/dimensional inspection, functional testing, data analysis, and predictive techniques (vibration, thermography, fluid analysis) to identify root causes
7. Preventive and predictive maintenance: Hourly/cycle/seasonal plans, lubrication, adjustments, calibrations, consumable replacement, post-service verification, and operational reliability
8. Instrumentation, tools, and metrology: Measuring and testing equipment, diagnostic software, calibration and traceability; selection criteria, safe use, and storage
9. 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.

1. Cybersecurity Fundamentals in Marine OT Environments: Key differences between IT and OT, specific risk models for propulsion plants, emerging threats to high-power engines, and safety-by-design principles applied to propulsion architectures.
2. Applicable Regulations and Standards: Detailed analysis of IEC 62443 (all relevant parts), ISO/IEC 27001 applied to marine installations, IMO guidelines on cyber risk management, and classification society requirements (DNV, LR, ABS) for propulsion system certification.
3. Deterministic Protocols in Industrial Networks: Architecture and time behavior of Profinet IRT, EtherCAT, Powerlink, deterministic Modbus, and Time-Sensitive Networking (TSN). Implications for real-time control of PROP and E/E units controlling high-power motors.

   Design of secure topologies for propulsion plants: physical and logical segmentation, zones and conduits according to IEC 62443, use of VLANs, OT-aware firewalls, DMZ for integration with IT systems, and resilient architecture for fault tolerance in main and auxiliary motors.

   Protection and hardening of PLC/RTUs and motor controllers: firmware hardening, secure credential management, role-based access control, application whitelists, secure boot, and mitigations against manipulation of control logic that could affect critical parameters (setpoint injection, RPM limits, torque curves).

   Security of SCADA/HMI in propulsion plants: segmentation, hardening of HMI systems, multi-factor authentication, encryption of operational communications, protection of telemetry history, and strategies to prevent and detect malicious modifications to screens and alarms. Critical considerations.

4. Sensor and actuator integrity management: methods for verifying sensor data (tachometers, temperature transmitters, flow meters), detection of spoofing and discrepancies between redundant signals to protect control loops that regulate combustion and transmission in high-power engines.
5. Monitoring and detection in marine OT: design and implementation of specialized IDS/IPS for industrial traffic (Deep Packet Inspection for deterministic protocols), OT visibility solutions (flow collectors, TAPs), use of behavioral baselines and machine learning for detecting anomalies in engine operating profiles.
6. Cryptography and time synchronization in deterministic networks: application of IPsec/DTLS in environments with latency requirements, plant key architecture, use of secure hardware (TPM/HSM) and synchronization mechanisms (PTP/IEEE 1588) to preserve determinism without compromising security.
7. Secure management of updates and patches in onboard systems: CI/CT (continuous integration/continuous testing) testing strategies for PLC and motor controller firmware, secure rollback procedures, digital signature validation, and cold and hot operational acceptance procedures.
8. Secure remote access and telemetry for engine diagnostics: secure gateway design, managed VPNs, jump hosts with forensic logging, third-party vendor control, and policies for remote maintenance without compromising propulsion plant integrity.
9. Ethical penetration testing and Red Team/Blue Team exercises in propulsion plants: secure testing scope, operational limitations, resilience validation scenarios against PLC/SCADA attacks, and metrics for measuring detection, containment, and recovery times in marine power systems.
10. Incident response in high-power engines: operational and technical playbooks for network isolation, safe shutdown procedures and degraded modes, bridge-machine coordination, and communication with port authorities and preservation of digital and physical evidence.

    OT forensic analysis and evidence management: secure collection of PLC/SCADA logs, synchronization of time traces, memory and firmware preservation techniques, chain of custody, and legal/operational collaboration for post-incident investigation without compromising the mechanical safety of the engine.

    Cyber-physical resilience and operational continuity: controller redundancy design, N+1 strategies for drive systems, hot-switching tests, controlled degradation tests, and operational recovery prioritizing crew safety and propulsion system integrity.

    OT integration with Cloud and Analytics: secure architectures for ingesting engine telemetry into the cloud, anonymization and classification of sensitive data, ML models for predictive maintenance, and regulatory and latency considerations for critical control decisions.

    Intensive hands-on labs and real-world simulators: PLC exercises (Siemens/Allen-Bradley), emulation of deterministic networks (TSN/EtherCAT), attack-defense scenarios in sandbox environments, traffic analysis of industrial protocols, and simulation of mechanical failures induced by cyber manipulation.

    Real-world case studies and lessons learned: forensic analysis of incidents in propulsion plants and ports, impact on high-power engines, mitigations implemented, and remediation roadmaps adopted by maritime operators and shipyards.

    Integrated module project and practical certification: complete design of a secure architecture for a marine propulsion plant (including network diagram, access policies, patching plan, and response playbook), evaluation by a technical jury, and obtaining certification of competence in OT cybersecurity applied to high-power engines.

This is the title of your module:
Comprehensive Mastery of Marine Propulsion Systems and High-Power Engines: Electrical-Hydraulic Integration, Real-Time Control, Experimental Bench Validation, and Condition-Based Reliability Strategies

Propulsion System Architectures: Technical comparison and selection criteria between conventional shafts (shaftline + transmissions), pod drives, waterjets, and hybrid solutions (diesel-electric, gas-turbine electric, CODAG/CODOG/CODLAG). Analysis of power distribution topologies (AC vs. DC medium voltage, onboard microgrids) and their implications for redundancy, load segregation, and functional safety.

High-Power Engines: Design and operating principles of large-displacement marine diesel engines, marine gas turbines, and dual-fuel engines (LNG/HFO). Critical parameters: torque-power curves, specific fuel consumption maps, transient behavior, and thermal and combustion limits for IMO Tier III compliance.

Transmissions and propulsion systems: design and sizing of reduction gears, flexible couplings, shafts, and bearing housings. Propeller selection and control (FPP/CPP), controllable pitch propellers, fixed pitch propellers, and advanced airfoils (skew, rake) for efficiency optimization and cavitation control; thrust curve and bollard pull test procedures.

Electrical-hydraulic integration: actuation architectures for pitch and steering systems (servo-hydraulic actuators, electro-hydraulic valves), servo valve controllers, and power converters for electrical and electromechanical drive systems. Mechanical and control integration between the propeller, gearbox, and auxiliary systems.

Power electronics and drives: selection and configuration of frequency converters (VFDs/AC drives), DC/AC converters, rectifiers, and UPS systems for traction and auxiliary motors. Harmonic management, active/passive filters, synchronization strategies, and fault protection in onboard MV/HV networks.

Physical and numerical modeling: advanced multibody modeling techniques, CFD for propeller-hull interaction (Cavitation Inception, ESDU, Q-blade analysis), and thermodynamic models of motors. Integration of thermal, lubrication, and emissions models for predicting behavior under real operating conditions.

Real-time control: onboard control architectures (PLCs, RTOS, industrial controllers, and systems based on EtherCAT/Time-Sensitive Networking). Implementation of advanced PID controllers, predictive control (MPC), adaptive control, and disturbance rejection strategies for torque, speed, and propulsion load.

Collaborative control and power management: load-sharing strategies between generator motors, droop control, synchronization, and master-slave control for optimal fuel and emissions management. Coordination between the propulsion system and auxiliary propulsion systems in hybrid and island operation modes.

Advanced sensors and signal acquisition: sensor requirements and specifications (torque meters, RPM encoders, piezoelectric accelerometers, thermocouples, pressure and flow sensors), mounting, and bench calibration. High-frequency signal management, aliasing, anti-aliasing filters, and sampling rate selection for dynamic analysis.

Instrumentation for test benches: design and equipping of test facilities (hydraulic and electric dynamometers, power absorption systems, climate chambers, fuel stations, and gas treatment systems). Instrumentation procedures and metrological traceability (calibration, uncertainty, and certification).

Test methodologies: planning and execution of static and dynamic tests: performance curves, overload tests, endurance tests, thermal cycling, emissions tests under variable load cycles, and transient response tests (start/stop, blackout recovery).

Model-in-the-loop and validation: MIL/SIL/HIL practices (Model-in-the-Loop, Software-in-the-Loop, Hardware-in-the-Loop). Design of HIL test benches for propulsion controllers, protection relays, and power systems, with deterministic latency times and firmware validation under virtualized real-world conditions.

Fatigue and vibration testing: modal analysis, experimental identification of natural modes, vibration spectra, envelope analysis, and fault diagnosis techniques for bearings, gears, and shafts. Resonance testing and verification of acceleration and displacement limits.

Real-time diagnostics and monitoring: algorithms for anomaly detection, state estimation using extended Kalman filters, Luenberger observers, and online identification techniques. Implementation of predictive alarms and adaptive thresholds to prevent catastrophic failures.

Condition-based maintenance (CBM) strategies and prognostics: design of continuous monitoring programs, selection of health parameters (vibration, oil, temperature, specific fuel consumption), feature extraction (FFT, wavelet, cepstrum), and use of prognostic models to estimate RUL (Remaining Useful Life).

Artificial intelligence and machine learning applied to PHM: complete pipeline from acquisition and preprocessing, labeling, feature selection, training of supervised models (Random Forest, SVM), unsupervised models (clustering, autoencoders), and deep neural networks for fault classification and degradation prediction; embedded edge computing strategies.

Propulsion plant digital twin: construction, synchronization, and operational use of digital twins for real-time simulation, what-if scenarios, fuel consumption optimization, and predictive maintenance. Integration with SCADA systems and industrial and marine IIoT platforms.

Functional safety and fault tolerance: design in accordance with safety standards (IEC 61508, IEC 62061) applied to propulsion control systems; redundant architectures (1oo2, 2oo3), fail-safe/fail-operational strategies, and fault injection testing to validate safe degradation.

Regulatory and classification requirements: technical interpretation of classification society rules (DNV, ABS, Lloyd’s Register) and IMO regulations applicable to propulsion and emissions systems; FAT/SAT procedures and documentation required for certification and commissioning.

Emissions control and alternative fuels: integration of SCR/AMCAT systems, EGR, catalysts, and recirculation strategies; Design and integration of LNG/dual-fuel installations, management of gas fuel supply systems, and associated safety measures (LSA, gas detection, ventilation).

Energy efficiency optimization and emissions reduction: engine operating map optimization techniques, use of predictive control to optimize fuel consumption on routes, retrofitting with electric propulsion and energy recovery (waste heat recovery, shaft generators), and LCC (lifecycle cost) and TCO (total cost of ownership) analysis.

System-platform integration testing: integrated commissioning procedures, verification of mechanical, electrical, and logical interfaces; governor commissioning tests, generator synchronization, load testing, and online torque control; checklist for delivery and acceptance by the shipowner.

FMEA/FMECA applied to propulsion plants: practical methodology for identifying failure modes, analyzing effects and criticality, defining mitigation actions, and developing maintenance plans. Use of software tools and generation of priority matrices for technical and economic decision-making.

Operational training and technology transfer: design of training programs for operators and maintenance teams, including propulsion simulators, practical sessions on test benches, technical manuals, and standardized operating procedures to maximize availability and safety.

Final applied project: definition, execution, and delivery of a complete integration project—from technical specifications to bench tests and reliability plan—including calculation report, dynamic models, test plan, HIL/SIL results, and a fleet-implementable CBM maintenance plan.

This is the title of your module:
Comprehensive Engineering of Marine Propulsion Plants and High-Power Engines: Mechanical-Electrical Architectures, Converters and Energy Storage, Dynamic Testing, Industrial Integration, Modernization Strategies, and Life-Cycle Costs

Advanced Propulsion Architectures: Detailed Analysis of Diesel-Mechanical, Diesel-Electric, Gas Turbine-Electric, Series/Parallel Hybrid Topologies, and Medium-Voltage DC/AC Banks Selection criteria by mission (passenger, offshore, towing, container ships), energy sizing, redundancy and fault tolerance criteria, onboard electrical zoning strategies, and galvanic isolation configurations for operational risk mitigation.

Design and behavior of high-power motors and rotating machines: comparative study of low/medium/high-speed diesel engines, industrial and aeroderivative gas turbines, synchronous and permanent magnet generators, electromechanical characteristics, torque/speed curves, cooling and thermal management, analysis of rotating fatigue, and material strength under harsh marine conditions.

Power electronics and converters: theory and practice of VFD converters, multilevel converters (MMCs), back-to-back converters, AFE converters, and controlled rectifiers.

1. Objective and scope of the module: definition of the deliverables of the Master’s Thesis; multidisciplinary integration of marine propulsion plant design, digital twin, experimental validation, AI-based diagnostics, and real-time control; Evaluation criteria and metrics for technical, operational, and safety success.

   Project methodology: Applied research phases (requirements analysis, conceptualization, detailed design, implementation, verification, and validation), agile management of technical projects, documentation for classification and certification, risk management, and test plan.

   Propulsion plant architecture: Traditional and advanced topologies (direct mechanical, geared shafts, shaft line with CPP/FP, pods, electric, hybrid, and fully electric propulsion), selection of thermal vs. electric engines, preliminary sizing, and reliability and redundancy criteria.

   Thermal and mechanical design of power systems: Sizing of high-power engines (diesel, gas, synchronous/asynchronous electric motors, turbocharged/intercooled), stress analysis of shafts, couplings, gearboxes, high-strength and fatigue materials, lubrication, and thermal management.

2. Propeller and thruster design and optimization: propeller theory, propulsion panels, advanced CFD for cavitation, multi-objective optimization (efficiency, noise, emissions), hull-propeller interaction (WIT), numerical testing, and experimental validation parameters in a cavitation tunnel.
3. Onboard auxiliary and power systems: generators, power converters, storage systems (Li-ion batteries, flow batteries), energy management (EMS), onboard DC/AC network testing, electrical protection, predictive maintenance, and HVAC and refrigeration sizing.
4. Multi-physics modeling and digital twin creation: coupled thermodynamic, hydraulic, and structural performance models;
5. Software Tools and Environments: Integrated design workflow with ANSYS/Fluent, STAR-CCM+, Abaqus, Siemens NX, MATLAB/Simulink, Modelica/OpenModelica, DNV Sesam, and digital twin platforms (Siemens MindSphere, AVEVA PI, OSIsoft) along with cross-validation methodologies.
6. Advanced Sensing and Real-Time Data Acquisition: Selection and calibration of sensors (torque, speed, vibration, accelerometer, pressure, temperature, cavitation, emissions), instrumentation networks (CAN, EtherCAT, Modbus, OPC-UA), measurement conditions in the laboratory and open sea, and design of instrumented surveys.
7. Real-Time Control
8. AI Diagnostics and Prognosis: design of first- and second-level controllers (PLC, RTOS, FPGA), speed/torque/CPP control strategies, predictive and adaptive control, hybrid propulsion synchronization, and HIL/SIL testing for functional certification.
9. AI Diagnostics and Prognosis: fault detection strategies based on deep learning and classical techniques (SVM, random forest), anomaly modeling, convolutional neural networks for vibration signals, LSTM for time series, and sensor fusion for robustness; Incorporation of explainable AI and clinical validation of models.

   Physically Informed AI and Twin Calibration: Use of PINNs (Physics-Informed Neural Networks), transfer learning to scale models to different plants, parameter identification through inverse optimization, and digital twin tuning with experimental and operational data.

   Experimental Validation and Test Campaigns: Design of test benches (dynamic and static), test protocols on the bench and at sea, instrumentation of rotors and propellers, sensor calibration, high-frequency data acquisition, spectral analysis, and correlation techniques for twin verification.

   HIL/SIL Testing and Remote Testing: Configuration and execution of Hardware-in-the-Loop and Software-in-the-Loop tests to validate controllers, integration of sensor emulation, failure and recovery scenarios, and acceptance criteria for prototype testing. real.

10. Structural Integrity and Rotational Dynamics: modal analysis, torsional stability of the propulsion system, fluid-structure coupling, mitigation of structural vibrations and noise, regulations and testing procedures for service life and safety assurance.
11. Emissions, Energy Efficiency, and Regulations: emissions modeling (NOx, SOx, CO2), reduction strategies (SCR, EGR, alternative fuels), IMO compliance and classification, fuel consumption optimization through real-time control and digital twin for routes and operational strategies.
12. Cybersecurity and System Reliability: threat analysis for marine control networks, design of secure architectures (zones and conduits), secure protocols (TLS/DTLS, OPC-UA Secure), isolation and incident recovery mechanisms, and specific penetration tests for intelligent propulsion.
13. Certification Procedures and Relationship with Classification Societies: requirements Documentation and testing for DNV, LR, ABS, etc.; technical interaction during the design and testing phase; preparation of certification dossiers for digital twins and critical controllers.

    Laboratory and industrial alliances: access to test benches, cavitation tunnel, power electrical laboratories, and environmental chambers; collaboration with shipyards, engine OEMs, and propulsion suppliers; Practical experience in real-world projects and support for validation under operational conditions.

    Final Project Assessment, Deliverables, and Defense: Required structure of the Master’s Thesis (technical report, twin models, reproducible source code, experimental campaign report, test video), evaluation criteria (innovation, robustness, reproducibility, industrial impact), and preparation for the public defense before a panel of industry experts.

    Career Opportunities and Employability: Competent profiles in the design and verification of propulsion systems, technical consulting, R&D in shipyards and manufacturers, development of diagnostic and predictive maintenance solutions, and leadership in marine digitalization and energy transition projects.

    Optional and Advanced Training Components: Seminars on superconducting magnet propulsion, integration with autonomous systems and AUV/USVs, additive manufacturing for critical components, and personalized mentoring for cutting-edge industrial applications.