Condition Based Monitoring System (EMS)

Smart condition monitoring ends surprise failures

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.
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Your Partner for Smarter Manufacturing

At DakshIIoT, we’re your trusted partner in achieving operational excellence. Whether you’re looking to improve your OEE, implement IIoT solutions, or simply want to know how we can support your smart factory journey, we’re here to help.

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