Condition Based Monitoring System (CBMS)

Executive Summary

Daksh IIoT CBMS leverages real-time asset data (vibration, temperature, acoustic, electrical) and advanced analytics (rule-based thresholds, ML models) to detect early wear, score asset health, and enable predictive maintenance, reducing costly failures and inefficiencies.

• Industry Challenges

  1. Unplanned Failures : Equipment breakdowns risk safety and production.
  2. Inefficient Maintenance : Routine PMs waste resources on healthy assets.
  3. Limited Visibility : Manual inspections and siloed data miss early degradation.

• Our Solution

  Daksh IIoT CBMS optimizes asset health via:

  1. Continuous sensor and PLC/BMS monitoring.
  2. ML-driven health scoring, anomaly detection, and RUL forecasting.
  3. Automated, prioritized work orders with guided recommendations.

• Key Benefits

  1. 20–40% less downtime, 15–25% lower maintenance costs.
  2. Up to 20% longer asset life.
  3. Improved safety with real-time alerts.
  4. Optimized spares and scheduling.

• KPIs

  1. Unplanned downtime reduction (%).
  2. Maintenance cost per asset (%).
  3. MTTR & MTBF.