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Automated Predictive Maintenance

70 words·1 min
Table of Contents

Definition
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ML models analyzing sensor data to forecast maintenance needs.

Key Characteristics
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  • Remaining useful life
  • Spare parts
  • Failure root cause
  • Technician dispatch

Why It Matters
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Reduces downtime by 45% (Deloitte).

Common Use Cases
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  1. Factory machinery
  2. Wind turbines
  3. Fleet vehicles

Examples
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  • Uptake
  • Presenso
  • Petasense

FAQs
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Q: Sensor requirements?
A: Works with existing SCADA systems and retrofitted IoT.

Q: False alerts?
A: <1% through multi-model consensus.