ayatfakhry/SatHealth-AI
Python framework for monitoring satellite health using telemetry data, anomaly detection, subsystem healthscoring, and failure prediction. Includes visualization dashboards and alert system for real-time spacecrafthealth monitoring.
SUMMARY AI要約 by gpt-5-mini
This module provides a reproducible preprocessing pipeline for satellite telemetry time-series aimed at data scientists and ML engineers preparing telemetry for modeling (e.g., anomaly detection or predictive tasks). It preserves temporal order and splits train/test by time. Key features: - Missing-value imputation: linear interpolation + forward/backward fill. - Outlier clipping: per-channel median ± clip_sigma·std. - Rolling statistics: mean, std, min, max over a configurable window. - Lag features (configurable offsets) and rate-of-change (first difference). - Rolling z-score features. - Z-score normalization via sklearn StandardScaler fitted on training split and applied to test. - Drops NaNs produced by windowing and returns preprocessed DataFrames plus scaled NumPy feature matrices. - Configurable params: window, lag_steps, test_ratio, clip_sigma.
使用言語(バイト数比)
オーナー情報
日付
| GitHub作成日 | 2026-05-16 |
| 最終Push | 2026-05-16 |
| 当サイト初検出 | 2026-05-16 |
| 最終取得 | 2026-05-16 18:16 |
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