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Overview#
The Predictive Maintenance domain provides three interconnected services for utility asset management: a composite health scoring engine evaluating assets across five weighted factors, a preventive maintenance scheduler that auto-generates schedules and work orders based on health thresholds, and a weather impact forecasting service that predicts outage counts and crew requirements based on historical data and weather event profiles.
Key Features#
- Five-factor weighted health scoring: age (20%), condition (25%), telemetry (25%), maintenance (15%), environmental (15%)
- Failure probability estimation for 30-day and 90-day horizons
- Risk classification (critical, high, medium, low) with recommended actions and inspection schedules
- Automated preventive maintenance schedule generation for assets below health thresholds
- Work order auto-creation for overdue maintenance with priority-based scheduling
- Pre-configured maintenance definitions for 10 asset types across electric, water, and gas utilities
- Weather impact profiles for 7 event types with outage and restoration multipliers
- 23 weather alert type mappings for automated forecast triggering
- Historical outage correlation for confidence scoring
- Critical facility and life-support customer risk assessment
- Compliance framework tagging for regulatory maintenance requirements
Use Cases#
- Calculating health scores across utility asset fleets to prioritize maintenance spending
- Automatically scheduling preventive maintenance work orders for at-risk assets
- Forecasting weather impact on utility infrastructure with crew pre-staging recommendations
- Tracking compliance with regulatory maintenance requirements across utility types
Integration#
The Predictive Maintenance domain reads from utility asset inventory, work order systems, telemetry alarm history, historical outage data, and organization configuration. It creates preventive maintenance work orders and persists health scores, schedules, and weather forecasts.
Last Reviewed: 2026-02-24