Onesait Utilities Asset Performance Management (APM)

Asset Performance Management (APM) improves asset reliability, availability and reduces operation and maintenance (O&M) costs.

APM is a comprehensive and modular solution to monitor assets and facilities, in utilities and asset intensive organizations.

It integrates the whole performance of the installation on a common and unified vision, from asset to fleet level, covering both health and performance perspectives. Onesait APM for T&D is made up of two modules: Predictive Monitoring and Asset Health.

Predictive Analytics

  • Failure Detection
  • Diagnostics
  • Alert Management
  • Machine Learning Algorithms
  • Maintenance Support

Asset Health

  • Maintenance prioritization ranking
  • Reduced cost and risk
  • Wide application range
  • Remaining Useful Life
  • Based on internal utility data or international standards

Cloud-Based Solution

  • Scalability
  • Cybersecurity
  • Modularity
  • Platform independence

APM Predictive Monitoring

Advanced Condition Monitoring

Leverages existing instruments

  • No additional sensors required
  • Monitoring is based on existing Instruments

Machine Learning

  • Machine learning algorithms
  • Multivariable analysis
  • Empirical models trained with historical data


  • Applicable to any equipment, model, and manufacturer
  • Customizable models

Early warning

  • O&M Cost Savings
  • Highly secure and reliable
  • Customizable alert rules

Any expected process data detected

  • Detect deviations from expected data
  • Real-time data is compared to model predictions

Adding value to traditional maintenance system

  • Complimentary to other maintenance systems
  • Consistent with other monitoring techniques

APM Asset Health

Assets Health Index calculation allows optimizing Life Cycle Cost (LCC) by redefining maintenance plans and prioritizing investment decisions

Health Index Analysis

  • Based on equipment type and available data
  • Considers Maintenance, Inspection and Operations data
  • Customizable models

Risk Matrix

  • Definition of failure modes
  • Criticality analysis based on failure effects and probability
  • Integration of historical data of maintenance

Maintenance Optimization

  • Based on health index and failure modes
  • Maintenance resources are allocated according to a rational prioritization


Life Cycle Cost (LCC)

  • Remaining life can be determined based on Health Index
  • Allows taking and prioritizing decisions regarding equipment replacement