• Performance Solution

    Based on world class integrated physics and machine learning models

  • Equipment Overhaul Decision Support

    Optimize Equipment Replacement and improvement decisions using comprehensive individual component level performance loss analysis

  • Optimize Operation Decisions

    Data driven operating decisions based on impact analysis
KPI ANALYZER

KPI ANALYZER

The Process KPI Analyzer provides measured, expected, and deviation of plant parameters using user-editable CSVs , Ebsilon Models and Data Science Models. The plant data is imported, validated, and then ingested into the KPI. These KPIs are useful in determining the performance of the plant, and are an integral foundation for use in the associated trending, root cause, and anomaly detection tools.
WHAT IF ANALYZER

WHAT-IF ANALYZER

The What-If Analyzer give the customer direct easy-to-use access to the foundational physics model such that various studies can be made. From a simple browser interface with no training on how to use models, the customer can run the models. With What-If Analyzer, maintenance decisions, operational setpoints decisions, and plant upgrades decision can be backed up with actual physics simulations, taking the guesswork out of the equation.
DEGRADATION ANALYZER

DEGRADATION ANALYZER

The Degradation Analyzers take the overall loss in key plant performance indicators (such as output capacity and energy index) and break them down into the contributing components, such that corrective actions (Capex or Opex) can be taken quantitatively. The key indicators for each type plant will be customized based on customer criticalities. The underlying physics models provide the calculation foundation, and can be tuned by the user to keep pace with regularly scheduled maintenance events.

Detailed Engineering

  • 1

    OEM Specsstep1

    Customer Onboarding, Receiving & Evaluating the OEM Design Specifications.

  • 2

    Design & Preparation of Modelingstep2

    Selecting the correct component from the Modeling Software (Ebsilon, MapEx, GateCycle).

  • 3

    Model Design & Validationstep3

    Modeling using the OEM data to fit & validate the equipment performance per OEM specs.

  • 4

    Custom Calculationsstep4

    Perform supplementary, need-based or any miscellaneous calculations in KPI Engine.

  • 5

    Value Added Featuringstep5

    Map the rules for input data validation, fault accommodation and checks to ensure model convergence and optimization.

  • 6

    Tag List Creation & Mappingstep6

    Creating & mapping the useful tags into the system to finalize the models and historizing the data.

  • 7

    Process Displays/Dashboardsstep7

    Create user required or customized process graphics & dashboard for real time KPIs view & historical trending both for the overall plant and assets.

  • 8

    Deployment & Testingstep8

    Deployment at the site & testing.

  • 9

    UAT, Training & Handoverstep9

    Perform User Acceptance Test, Customer Training & Handover

Closure & Feedback