SAS^® Asset Performance Analytics Features

Enterprise, maintenance-centric data model

• Direct support for data storage in Hadoop and SAP HANA.
  
• Measurement data provided in both continuous and categorical measures for sensor and tag data, events and alarms.
• Asset and equipment data.
• Physical failure analysis data.
• Failure data.
• Inspection records.
• Maintenance records.
• Environmental data.
• Cost attributes.
• Organizational data.
• Textual information from any source.

Automated monitoring & alerting

• Drill down by organization.
• Drill down by asset group.
• Drill down by functional area.
• Execute workflow.

Predictive modeling

• Decision trees.
• Neural networks.
• Regression analysis.
• Clustering.
• Scoring.
• Stability monitoring:
  • Automatically builds prediction models based on user-selectable predictors.
    
  • Models can be scheduled for continuous scoring.

Descriptive analysis

• Reliability analysis.
• Pattern analysis.
• Repairable systems analysis.
• Correlation analysis.
• Regression analysis.
• Asset analysis:
  • Flexible framework to support any stored process(es) in the user interface.
    
  • Handles user interactions.
    
  • Surfaces and manages outputs.
    
  • Persists status between sessions.
    
  • Supports independent as well as dependent stored processes.
    
  • Facility integrity and reliability delivered as "blueprint" (specific to the oil and gas industry).
    

Reporting & KPI dashboards with drillable alerts & reports

• Interactive KPI dashboard.
• Interactive web-based reports.
• Interactive web-based graphs.

Support for asset replacement decisions

• Uses historical data.
• Allows manual intervention.
• Includes scenario analysis.
  

Seamless integration with the full SAS^® Quality Analytic Suite

• Common code base and data model simplify enterprisewide operational improvements and allow a modular approach to adding analytic capability as the organization matures.