NDT Defect Analysis Digital Worker
Deploys a multi-agent AI system that processes UT, ET, and RT inspection data in parallel. AI agents automatically screen geometric features from actual defects (99.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
NDT Data Upload & Analysis Setup - Configure component selection, inspection methods (UT, ET, RT), and view AI Analysis Team agents ready for multi-method defect analysis
Live AI Analysis Dashboard - Real-time monitoring of Orchestrator, UT Analysis, ET Analysis, and RT Analysis agents with progress tracking and live event feed
Analysis Results Summary - Defect classification results showing 17 total indications, 15 features excluded, 2 defects identified with 99.8% AI efficiency and ASME Section XI compliance
NDT Data File Upload - Drag-and-drop interface for UT and ET scan files with component inspection history and workflow guidance showing 99.5% screening efficiency
AI Agents
Specialized autonomous agents working in coordination
Analysis Orchestrator Agent
Complex NDT inspections require coordination of multiple analysis techniques and seamless handoffs between automated screening and expert review.
Core Logic
Coordinates all specialist agents, manages the analysis workflow from data ingestion through report generation, monitors progress across parallel analysis streams, handles task distribution and priority management, and triggers expert escalation when critical defects are detected. Maintains real-time status tracking and ensures all agents complete their analysis phases before proceeding.
Ultrasonic Testing Analysis Agent
Analyzing hundreds of thousands of UT data points across multiple zones for volumetric defects like cracks requires extensive Level 2 technician time and can miss subtle indications.
Core Logic
Processes Phased Array UT, TOFD, A-Scan, B-Scan, and C-Scan data using signal morphology analysis, amplitude analysis, and depth measurement techniques. Detects crack signatures through corner trap identification and sharp leading edge patterns. Provides confidence-scored classifications with measurement uncertainties. Automatically flags high-amplitude reflectors exceeding ASME thresholds for expert review.
Eddy Current Analysis Agent
Eddy current inspection generates complex impedance plane data that requires skilled interpretation to distinguish surface defects from material variations and geometric artifacts.
Core Logic
Analyzes Eddy Current Array and impedance plane data using phase analysis, conductivity mapping, crack sizing, and surface condition assessment. Processes scan points to identify surface and near-surface defects while filtering benign conductivity variations. Reports surface oxidation, crack indications, and wall thickness variations with severity classifications.
Radiographic Testing Analysis Agent
Manual review of radiographic images for density variations, porosity, and inclusions is the slowest step in multi-method NDT analysis and subject to reviewer fatigue.
Core Logic
Processes Digital Radiography, Computed Radiography, and digitized film images using density analysis, pattern recognition, inclusion detection, and porosity mapping algorithms. Identifies volumetric indications through density contrast analysis. Maps porosity clusters and determines if they fall within code-acceptable tolerance limits.
ASME Compliance Validation Agent
Interpreting ASME Section XI acceptance criteria tables and documenting code compliance decisions requires specialized knowledge and creates documentation burden.
Core Logic
Validates all detected findings against ASME Section XI Table IWB-3514-1 acceptance standards, NRC 10 CFR 50.55a requirements, and facility-specific procedures. Automatically calculates exceedance percentages, references applicable code sections, generates compliance documentation, and maintains immutable audit trails for regulatory submission.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
5 technologies
Architecture Diagram
System flow visualization