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The uploaded documents describe innovative systems for predictive maintenance and equipment monitoring. The primary invention (US11234567) discloses a machine learning approach using neural networks to analyze sensor data and predict equipment failures. Key technical features include real-time data processing, multi-sensor fusion, and adaptive learning algorithms. The system achieves 75% reduction in unplanned downtime according to the specification.
| Claim Type | Count | Avg Words |
|---|---|---|
| Method | 5 | 85 |
| System | 3 | 72 |
| CRM | 1 | 45 |
| Feature | US11234567 | EP3456789 | Similarity |
|---|---|---|---|
| Technical Field | Predictive Maintenance | Equipment Monitoring | |
| Core Innovation | ML-based prediction | Sensor fusion | |
| Claim Scope | Method + System | System + Apparatus | |
| Application Domain | Industrial IoT | Manufacturing |