Predictive Maintenance

Predictive Capabilities

Pages 35-39
Why This Matters
Unplanned equipment failures are costly and disruptive. Predictive maintenance shifts from reactive (fix-on-fail) to proactive (predict-and-prevent), reducing downtime and extending asset life.
Litmus Enables
  • Real-time equipment health monitoring and trend analysis
  • Anomaly detection using ML models trained on historical data
  • Failure prediction with confidence intervals and lead time
  • Maintenance scheduling optimization
  • Integration with CMMS for automated work order creation
Discovery Questions
Use these to guide client conversations
  • Current maintenance: reactive or preventive?
  • Unplanned downtime: __% of total downtime
  • Average equipment age: __; MTBF: __ hours
  • Maintenance cost: $__/year; failure cost: $__/incident
  • What equipment has the highest failure rate?