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Predictive analysis of a gas turbine plant condition


A European energy company operating in more than 40 countries worldwide

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Predictive analysis of a gas turbine plant condition
  • Emergency shutdowns and repairs that might cause long downtime and heavy fines
  • Fuel overconsumption and reduced energy efficiency

Early detection of gas turbine plant malfunctions

Transiting from emergency and scheduled repairs to the repairs based on the equipment`s actual condition

Increasing the production energy efficiency and keeping it at a high level

Features of the project
  • Necessity to use the existing instrumentation sensors and process control systems without additional equipment
Features of the project

A system of risk-based maintenance and repair management based on the equipment actual state.

The solution implements
  • Collects, processes and stores telemetry data from equipment sensors
  • Ensures the engineering and mathematical model operation for units and assemblies
  • Assesses and forecasts the equipment "health index"
Learn more about the solution
How the solution works
  • Analyzing the GTU historical data for the year.Determining the relevant parameters characterizing the structural elements condition

  • Compiling the predictive models to assess the GTU technical condition based on a cascade of mathematical algorithms

  • Determining the defect or failure location, type, time and possible causes. Forecasting the faults development and failure occurrence

  • Detecting the excessive fuel consumption associated with the deterioration of the GTU technical condition, and the influence of structural elements wear on the energy efficiency reduction. Detecting the unwanted modes of equipment operation

Эффект для бизнеса
Business effect
  • Optimizing the maintenance schedule for a gas turbine unit
  • Reducing repair costs
  • Saving 7.5 million rubles a year due to preventing excessive fuel consumption
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