Reliability · ML-driven · Asset Intelligence
Predictive Maintenance Center
ML-based health scoring and remaining-useful-life prediction across 2,184 NAS assets — radar, navaids, towers, datacenters, networks.
Assets Monitored
2,184
At-Risk Assets
47
health < 70
Cost Avoidance YTD
$14.2M
▲ 22% vs plan
Avg RUL (days)
368
Asset Health Trend — 30d (selected)
ASR-11 ORD-04VOR DCA-01ASDE-X JFK
Maintenance · AI Insight
AI · 86% conf
Radar RUL anomaly — ZAU sector
Predictive models detect early degradation patterns on ASR-11 unit ORD-04. Recommend scheduled maintenance window within 21 days to avoid unplanned outage.
ExplainableHuman-in-loopView reasoning →
Cost Avoidance — 12mo
Asset Registry — Predicted Health & RUL
| Asset ID | Type | Site | Health | RUL (days) | Failure Prob 90d | Risk | Recommendation |
|---|---|---|---|---|---|---|---|
| ASR-11-ORD-04 | Surveillance Radar | ORD | 71 | 142 | 20.7% | elevated | Inspect within 30d |
| STARS-ZNY-12 | TRACON Display | ZNY | 88 | 410 | 8.6% | low | Continue monitoring |
| VOR-DCA-01 | Navaid | DCA | 64 | 96 | 25.7% | elevated | Schedule replacement |
| ILS-ATL-09L | Instrument Landing | ATL | 93 | 720 | 5.0% | low | Continue monitoring |
| DC-SLC-CORE | Data Center Core | SLC | 82 | 320 | 12.9% | moderate | Inspect within 30d |
| FTI-NET-NE-07 | FTI Backbone | BOS | 78 | 260 | 15.7% | moderate | Inspect within 30d |
| ERAM-ZDV | ERAM Processor | ZDV | 95 | 880 | 3.6% | low | Continue monitoring |
| ASDE-X-JFK | Surface Surveillance | JFK | 58 | 64 | 30.0% | high | Schedule replacement |