Diploma in PdM Integration with CMMS/EAM
About us Diploma in PdM Integration with CMMS/EAM
The Diploma in PdM Integration with CMMS/EAM trains participants in the strategic implementation of Predictive Maintenance (PdM) systems, linking them with CMMS/EAM platforms to optimize asset management. It focuses on the use of sensors, data analysis, and predictive techniques such as vibration analysis, thermography, and oil analysis to identify equipment failures and prevent unscheduled downtime. The program explores the integration of data with Big Data and Artificial Intelligence (AI) for decision-making and maintenance optimization. The diploma program provides practical skills in configuring and using CMMS/EAM systems, implementing maintenance strategies, and interpreting diagnostic data to improve equipment availability and reduce maintenance costs. It focuses on the application of safety regulations and industry best practices. The training prepares students for roles such as PdM specialists, maintenance data analysts, and maintenance managers, which are in high demand across various industrial sectors.
Target keywords (naturally occurring in the text): Predictive Maintenance, CMMS/EAM, vibration analysis, thermography, oil analysis, Big Data, Artificial Intelligence, asset management, equipment availability, maintenance diploma.
Diploma in PdM Integration with CMMS/EAM
- Format: Online
- Duration: 8 months
- Hours: 900 H
- Language: ES / EN
- Credits: 60 ECTS
- Registration date: 04-07-2026
- Strat date: 14-08-2026
- Available places: 7
1.370 $
Competencias y resultados
Qué aprenderás
1. Mastery of PdM Integration with CMMS/EAM for Asset Management.
Para quien va dirigido nuestro:
Diploma in PdM Integration with CMMS/EAM
9.9 Introduction to PdM Integration with CMMS/EAM in the Naval Context
9.9 Importance of Asset Management in the Naval Industry
9.3 Fundamentals of CMMS/EAM and Predictive Maintenance (PdM)
9.4 Benefits of PdM/CMMS-EAM Integration
9.5 Initial Case Studies in the Naval Industry
9.9 Advanced Predictive Maintenance Techniques Applied to Naval Assets
9.9 Integration of Predictive Data into CMMS/EAM
9.3 Analysis of Predictive Data for Maintenance Optimization
9.4 Design of Optimization Strategies Based on CMMS/EAM
9.5 Key Performance Metrics and Their Impact on Efficiency
3.9 Phases of CMMS/EAM Implementation in PdM Programs
3.9 Selection and Configuration of Appropriate CMMS/EAM Software 3.3 Data Management and Creation of an Asset Database
3.4 Staff Training and Change Management
3.5 Auditing and Continuous Improvement in Implementation
4.9 Planning and Integration of CMMS/EAM with Sensors and Monitoring Systems
4.9 Real-Time Data Integration Strategies
4.3 Integrating Data from Different Sources for Comprehensive Analysis
4.4 Developing Reports and Dashboards for Asset Management
4.5 Best Practices and Solutions for Maintenance Optimization
5.9 Specific CMMS/EAM Applications in the Naval Industry
5.9 Optimizing Naval Asset Performance
5.3 Spare Parts Management and Inventory Control
5.4 Designing Preventive and Corrective Maintenance Programs
5.5 Asset Lifecycle Analysis and Cost Management
6.9 Advanced PdM and CMMS/EAM Integration Strategies
6.9 Optimizing Naval Operational Performance
6.3 Failure Analysis and Mitigation Strategy Design
6.4 Implementing Condition-Based Maintenance Strategies
6.5 Improving Efficiency and Reducing Operating Costs
7.9 Designing a PdM and CMMS/EAM Integration Strategy
7.9 Optimizing the Naval Fleet
7.3 Implementing a Maintenance Management System
7.4 Risk Management and Regulatory Compliance
7.5 Best Practices for Naval Fleet Management
8.9 The Synergy Between PdM and CMMS/EAM in Naval Asset Management
8.9 Maximizing the Value of Naval Assets
8.3 Implementing a Performance Management System
8.4 Monitoring and Continuously Improving Performance 8.5 Case studies and practical examples.
9.9 Identification and classification of naval assets.
9.9 Integration of asset data into CMMS/EAM.
9.3 Design of a maintenance plan based on CMMS/EAM.
9.4 Optimization of naval asset performance.
9.5 Risk management and regulatory compliance.
9.6 Best practices for naval asset management.
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