Design a Predictive Maintenance System — System Design Interview Practice
Design an ML system that predicts equipment failures before they occur using sensor data, time-series analysis, and anomaly detection, enabling proactive maintenance scheduling. Work through the requirements, architecture trade-offs, and an interactive design review.
Requirements and concepts to consider
- Ingest real-time sensor data from equipmentRequirement
- Extract features from time-series signalsRequirement
- Predict remaining useful life (RUL)Requirement
- Detect anomalous equipment behaviorRequirement
- Classify failure modesRequirement
- Generate maintenance work ordersRequirement
- Track equipment health scores over timeRequirement
- Provide dashboards for maintenance teamsRequirement
- mlConcept to explore
- predictive maintenanceConcept to explore
- time seriesConcept to explore
- anomaly detectionConcept to explore
- iotConcept to explore
- manufacturingConcept to explore