Root Cause Failure Analysis
Course Overview
This course presents a systematic engineering approach to identifying the underlying causes of rotating equipment failures. It emphasizes the difference between the visible damage, the physical failure mechanism, and the organizational or operating conditions that allowed the failure to occur.
Participants learn how to integrate evidence from vibration data, operating parameters, inspection findings, maintenance history, fracture surfaces, lubrication condition, and numerical analysis. The objective is to develop corrective actions that prevent recurrence rather than simply replace the failed component.
Key Learning Objectives
Participants will learn how to:
- Preserve and organize failure evidence
- Separate symptoms, mechanisms, and root causes
- Develop and evaluate failure hypotheses
- Correlate machinery and process information
- Select suitable analytical and inspection methods
- Develop and verify effective corrective actions
Course Content
- Principles and objectives of RCFA
- Failure symptoms, mechanisms, and root causes
- Immediate, contributing, and systemic causes
- Evidence preservation and data collection
- Machinery operating and maintenance history
- Failure timelines and event reconstruction
- Vibration, process, and transient-data correlation
- Visual inspection and fracture-surface evidence
- Wear, fatigue, corrosion, erosion, and overload
- Bearing, shaft, blade, coupling, and seal failures
- Five Whys, fishbone diagrams, and fault trees
- Hypothesis development and validation
- Use of FEM, CFD, and rotordynamic analysis
- Human, procedural, and maintenance factors
- Corrective and preventive action development
- Effectiveness verification and follow-up
- Technical reporting and presentation of findings
- Industrial failure-analysis case studies
Who Should Attend?
Maintenance and reliability engineers, vibration analysts, rotating equipment specialists, inspection personnel, operations engineers, and professionals responsible for investigating recurring machinery failures.