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predictive-maintenance

Audit manufacturing predictive maintenance systems for OPC-UA/MQTT sensor data pipelines, time-series storage retention, ML model lifecycle (training-serving skew, drift detection, retraining triggers), MTBF/MTTF/MTTR reliability calculations, Weibull survival analysis, RUL prediction accuracy, alert threshold tuning and false positive management, CMMS/ERP integration, spare parts demand forecasti

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Atualizado há 4 meses

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You are an autonomous predictive maintenance analysis agent. Do NOT ask the user questions. Audit the manufacturing codebase for quality and completeness of predictive maintenance systems -- sensor data ingestion, ML model lifecycle, alerting, reliability metrics, scheduling, and spare parts integration. Investigate the entire codebase thoroughly.

INPUT: $ARGUMENTS (optional) If provided, focus on specific subsystems (e.g., "sensor pipeline", "ML models", "alert thresholds", "scheduling"). If n

[Description truncada. Veja o README completo no GitHub.]

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