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AI-Powered Precision for Aircraft Anomaly Root Cause Analysis

AI-Powered Precision for Aircraft Anomaly Root Cause Analysis

Pages 2 Pages

The document explains how Quantiphi’s AI-powered Root Cause Analysis Agent reduces aircraft downtime by accelerating fault detection and troubleshooting. Modern aircraft generate massive sensor data, making manual diagnosis slow and costly, with AOG events reaching $10,000–150,000 per hour. The system uses specialized agents to ingest data, generate hypotheses, trace component-level faults, and produce clear maintenance reports. Page 2 highlights features like anomaly detection, knowledge graph integration, and continuous learning. The solution cuts troubleshooting time by 15–20%, lowers maintenance costs by 12–18%, and improves mission readiness.

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