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Condition Based Maintenance and Analysis
Background & About the Course
In modern industrial operations, Condition Based Maintenance and Analysis System has become an increasingly relevant approach to enhance the efficiency and effectiveness of asset management. CBMS utilizes real-time data from asset conditions to plan timely and appropriate maintenance actions. This allows organizations to reduce downtime, minimize unnecessary maintenance costs, and extend the overall lifespan of assets.
This training is designed to provide a comprehensive understanding of the implementation and analysis of CBMS across various industrial sectors. Participants will learn data collection techniques, asset condition analysis, and strategic data-driven decision-making. With a technology and data-driven approach, this training helps organizations adapt to the demands of Industry 4.0 and improve their business competitiveness.
Course Objectives
After completing this training, participants are expected to:
- Understand the concepts and benefits of Condition Based Management System (CBMS).
- Identify the steps for implementing CBMS within an organization.
- Conduct asset condition analysis using relevant techniques and software.
- Develop condition-based maintenance strategies to enhance operational efficiency.
- Reduce asset failure risks through data-driven decision-making.
Who Should Attend
This training is recommended for:
- Managers and supervisors in maintenance and operations.
- Engineers responsible for asset maintenance and analysis.
- Professionals in reliability engineering and asset management.
- Individuals involved in infrastructure management and maintenance strategy development.
Course Outline
Fundamentals of Condition-Based Maintenance (CBM)
Introduction to CBM
- Overview of Condition-Based Maintenance and Management Systems
- Evolution from Preventive to Predictive Maintenance
- Key Principles and Benefits of CBM
Tools and Technologies for Condition Monitoring
- Vibration Analysis
- Thermal Imaging
- Oil Analysis
- Ultrasonic Testing
- Emerging IoT Sensors for Maintenance
Data Collection and Analysis
Techniques for Collecting Real-Time Data
- Wired vs. Wireless Data Acquisition Systems
- Role of Edge Computing and Cloud Integration
Predictive Maintenance Tools
- Machine Learning Models for Anomaly Detection
- Digital Twin Technology for Asset Simulation
Data Interpretation and Fault Diagnosis
- Identifying Common Equipment Faults from Data
- Using AI to Enhance Diagnostic Accuracy
Workshop: Developing a Monitoring Framework for Assets
- Hands-on Activity: Selecting Sensors and Tools for Specific Use Cases
- Data Logging and Visualization Techniques
Introduction to CBM Software Platforms
- Overview of Popular CBM Software and Platforms (e.g., IBM Maximo, SAP PM, Azure IoT)
Strategy Development and Implementation
Building a CBM Strategy: From Planning to Execution
- Steps to Create a Comprehensive CBM Plan
- Integration with Existing Maintenance Processes
Risk Assessment and Decision-Making in CBM
- Failure Mode Effect Analysis (FMEA)
- Prioritizing Assets for CBM Based on Criticality
Performance Metrics for Evaluating CBM Success
- Key Performance Indicators (KPIs) for Maintenance Reliability
- Continuous Improvement through Feedback Loops
Final Presentation: Designing a CBM Plan for Your Organization
- Group Presentations of CBM Plans
- Feedback from Facilitators and Peers
About the Course Leader
Cecep Slamet Abadi, ST., MT is an associate instructor at FJM with a background in Mechanical Engineering for both undergraduate and graduate studies. He has been an active lecturer since 1996 and has experience in industry and consulting, including roles at LAPI ITB, Puslitbang Air, PINDAD, and conducting energy audits at Pertamina EP Pangkalan Susu, Tambung, and Rengasdengklok. He is also part of the competency testing team for IATKI (Indonesian Electrical Engineering Association).
In terms of industrial training, Mr. Cecep has conducted over 150 in-house and public training sessions for organizations such as Indonesia Power, PLTA Saguling, Freeport-Papua, Chevron Oil/Gas, Chevron Geothermal, Premier Oil, Pupuk Sriwijaya, Pupuk Kujang, Badak LNG, and many others.