Energy

Analysis of the operation of a turbine generator of a thermal power plant

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Energy holding company operating thermal power plants

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Analysis of the operation of a turbine generator of a thermal power plant
Проблема
Problem
  • Unexpected failures and emergency shutdowns of the turbine generator
  • High costs of the fines for electricity undersupply and equipment emergency repair
  • Necessity to extend the equipment life
Tasks

Determining the relevant parameters to assess the turbine generator technical condition

Identifying the causes of equipment failures

Developing a predictive analysis model for a turbine generator and identifying the opportunities to improve the power equipment efficiency, reduce operating and capital costs, and reduce the downtime number

Features of the project
  • Necessity to identify the equipment failure causes on the basis of historical data.
Features of the project
Solution

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 historical turbine generator data

  • Determining the turbine generator relevant parameters

  • Analyzing the stator current change before failure

  • Building a linear stator winding temperature regression from the turbine generator full power based on the data for one month of normal operation

  • Comparing actual and calculated temperatures for the entire provided selection of values

  • Identifying anomalies and determining failure causes

  • Predicting failures in other nodes based on the detected patterns

Эффект для бизнеса
Business effect
  • Preventing equipment failures
  • Extending equipment life
  • Possibility of detecting hidden defects 1.5 years before failure
  • Reducing the cost of fines and repairs – RUB 140 million
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