Non-Redundant Fault Processing TRIZ Cases
- Equipment Malfunction Diagnosis Using Multi-Model Validation
Multiple ML models generate, retrieve, and validate fault hypotheses from input and historical data to speed accurate equipment diagnosis.
- Distributed State Estimation for Redundant Vehicle Control Paths
Quality indicators and redundancy classifiers estimate vehicle control path state without a supervisor, enabling fault detection and reconfiguration.