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Lecture 8: AI for Failure & Fatigue Prediction
- Using time-series sensor data
- Features: peaks, cycles, RMS, stress/strain sequences
- Classical models vs ANN-based predictors
- Introduction to RUL (Remaining Useful Life) concepts
- Real-world challenges:
- limited failure examples
- imbalanced data
- saftey requirements and false positives
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