FTA (Fault Tree Analysis)

Definition

FTA (Fault Tree Analysis) is a top-down failure analysis method that examines the causes of system failures or defects in a tree structure. Starting from an undesired top event, it systematically analyzes lower-level causes that could trigger it, connecting them through logic gates (AND, OR, etc.).

Applications in Manufacturing

Quality and Safety Management

• Production Line Failure Analysis: Identify root causes of equipment downtime to establish preventive maintenance plans
• Product Defect Tracing: Backtrack defect occurrence paths to derive process improvements
• Safety Accident Prevention: Proactively identify risk factors that could lead to major incidents

Integration with AI

Recent AI technology integration has significantly enhanced efficiency:

• Automated FTA Generation: Machine learning from sensor data and historical information to auto-construct fault trees
• Real-time Risk Prediction: Dynamic failure probability calculation through real-time data analysis
• Automated Root Cause Analysis: Machine learning to discover complex causal relationship patterns

Key Points

Main Advantages of FTA:

• Visual and clear representation of complex system failure mechanisms
• Quantitative probability calculation for risk assessment
• Objective basis for determining improvement priorities

Practical Example: In automotive manufacturing, when welding defects occur, FTA logically analyzes causes such as 'welding current anomaly', 'electrode wear', and 'material quality variance', while AI models predict the occurrence probability of each cause using real-time data to enable proactive measures.