Intelligent Fault Diagnosis & Auto-Resolution System

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Central coordinator managing workflow phases, delegating to specialized agents, tracking progress, handling failures with retry logic, enforcing authorization, and generating executive summaries with circuit breaker patterns.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Ingests alarms, applies ML deduplication, correlates with weather, classifies severity using XGBoost, calculates financial impact, and outputs prioritized list with confidence scores.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Retrieves sensor history, runs Isolation Forest anomaly detection, extracts diagnostic features, classifies root cause via XGBoost, searches vector database for similar cases, generates resolution recommendations with probability estimates.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Performs safety assessment (personnel, equipment, grid, regulatory), requests authorization, executes SCADA commands (reset, parameter adjustment), monitors status with retry logic, verifies resolution, escalates to dispatch if needed.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Queries technicians for skill match and availability, calculates optimal routes with traffic data, reserves parts from nearest warehouse, creates detailed work orders with diagnostics and safety procedures, dispatches with ETA tracking.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Collects ground truth from work orders (root cause, resolution, time), updates XGBoost with incremental learning, adds cases to vector knowledge base, identifies new failure patterns, reports accuracy improvements.