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diff --git a/tutorials/module_5/failure_and_fatigue_prediction.md b/tutorials/module_5/failure_and_fatigue_prediction.md new file mode 100644 index 0000000..c4ac70b --- /dev/null +++ b/tutorials/module_5/failure_and_fatigue_prediction.md @@ -0,0 +1,10 @@ +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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