Proving the Business Case for the Internet of Things

Schneider brings predictive maintenance to Israel Electric

Steve Rogerson
March 28, 2017



Israel Electric is installing Schneider Electric's predictive asset analytics software, Avantis Prism, to improve reliability, availability and performance. The French company's predictive maintenance software will be used to monitor 4100MW of combined-cycle natural gas generation at eleven units across seven sites.
 
Israel Electric is the largest power provider in Israel, generating and supplying electricity to 80 per cent of the country. As part of its commitment to provide reliable power to its customers, it is executing a predictive maintenance strategy.
 
"As a completely isolated national grid, supplying reliable power is critical for our customers," said Uri Levy, project manager at Israel Electric. "We selected Schneider Electric's predictive asset analytics software because of their proven technology, industry experience and customer-centric approach."
 
Avantis Prism will be the centre of an early warning system and will be used to identify and diagnose equipment problems before they occur for proactive maintenance planning. This is the first Schneider Electric implementation on Israel Electric's generation level and a continuation of previous initiatives to optimise the utility's power system.
 
"In power generation, a single turbine failure can cost millions of dollars," said Rob McGreevy, vice president at Schneider Electric. "Predictive asset analytics enables utilities to identify and diagnose issues before they occur for proactive maintenance planning, resulting in reduced costs and maximising return on high dollar asset investments."
 
In addition to model building, implementation support and training, Schneider is providing remote asset health and performance monitoring through its MDSC monitoring and diagnostics services centre, offering a bridge of expert services to supplement the Israel Electric team prior to implementation.
 
Avantis Prism uses pattern recognition and machine learning to detect equipment problems days, weeks or months before traditional alarms. As part of Schneider Electric's Enterprise APM platform, Prism enables companies to reduce unscheduled downtime, increase asset use and increase economic return on assets.