Instruction: Explain your approach to data collection, feature engineering, model selection, and how you would deploy and monitor the system in a production environment.
Context: The question assesses the candidate's skills in applying machine learning to reduce downtime and maintenance costs in industrial settings, with a focus on real-world applicability and impact.
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I would start with the maintenance workflow because the system has to support real operational decisions: when to inspect, when to replace a part, and how much lead time the team needs to act without causing unnecessary downtime.
Then I would build a time-aware pipeline using sensor telemetry,...