An MVP system for feature engineering and causal discovery for pump equipment. Generates 22 features from 90-day measurement data and discovers causal relationships to anomaly prediction using LiNGAM (Linear Non-Gaussian Acyclic Model).
time-series feature-engineering bootstrap-validation anomaly-detection predictive-maintenance deterioration-modeling causal-discovery lingam smote-sampling nuts-sampler pump-equipment directlingam markov-hazard-analysis hazard-group-analysis
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Updated
May 18, 2026 - Python