Israel Electric Corporation moves towards smarter maintenance

Using sophisticated data models to predict and pre-empt turbine failures at its power plants

Published on 9 Oct 2013

The SPSS Modeler solution developed with the help of Genius Systems is a critical step towards identifying and reducing significant fuel expenses in every single unit, saving as much as USD 75,000 per turbine per year.

Eitan Rindenau, Performance Engineer, Gas Turbines team, Israel Electric Company

Israel Electric Corporation

Energy & Utilities

Deployment country

Genius Systems


Israel Electric Corporation (IEC) is the primary electricity provider in Israel, which is responsible for building, maintaining and operating the country’s power infrastructure.

Business need
IEC generates 95 percent of Israel’s electricity. To meet peak demand, its turbines need to run at full capacity – so it is vital to keep them online and running efficiently.

With the help of Genius Systems, an IBM Business Partner, the IEC team used IBM SPSS Modeler to perform cluster analyses of the data from each of the turbines and create a model of their “normal” behavior during start-up, steady-state and shut-down. With the baselines for each individual unit established, the team was able to compare their performance and begin identifying common problems.

Increased the efficiency of maintenance schedules, costs and resources, resulting in fewer outages and higher customer satisfaction.


IBM products and services that were used in this case study.

SPSS Modeler, SPSS Statistics

BA - Business Analytics, Business Integration, Business Performance Transformation, Business Resiliency, , Enabling Business Flexibility, Enterprise Modernization, BA - Predictive Analytics, Smarter Planet, Transforming Business

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