Predictive analysis of a gas turbine plant condition

Projects

A European energy company operating in more than 40 countries worldwide

Problem

Tasks

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

Solution

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"

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

Business effect