MACHINE LEARNING CLUSTER MODELS FOR DETERMINING THE STATE OF A COMMUNICATION SYSTEM
Patent Information
- Application Number
- DE602019085584
- Authority / Receiving Office
- DE · DE
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2018-09-19
- Filing Date
- 2019-07-25
- Publication Date
- 2026-06-10
- Estimated Expiration
- 2039-07-25
AI Technical Summary
Determining the condition of complex satellite communication systems is difficult and time-consuming, often requiring extensive triaging and escalating to higher support tiers, with existing methods failing to efficiently detect conditions based on subsystem and component interactions.
Implementing machine learning clustering models to analyze status and statistic information from multiple subsystems and components, assigning feature vectors to predefined clusters representing normal, busy, or degraded conditions, and initiating actions to address detected issues.
Enables rapid detection and proactive management of satellite communication system conditions, reducing downtime by automating condition assessment and enabling efficient corrective actions without manual intervention.