- Ten-Year Service Contract to Monitor and Fine-Tune Performance of the Generator
- GE’s Predix*-Based Asset Performance Management Software Brings Data-Driven Efficiency to Improve Field Operations
PARIS-December 18, 2017-GE Power (NYSE: GE) was selected by Alco Bio Fuel, one of Belgium’s major biorefineries, to deploy its Predix*-based Asset Performance Management (APM) solution to future-proof the refinery’s power-generation unit’s refinery field operations. The service contract will last for 10 years, and GE will also be responsible for providing on-site service support.
When an electric rotating machine (ERM), such as the generator in the power-generation unit, fails, the consequence can be significant. Digital transformation is a necessary and inevitable step to improve operational efficiency and reduce risks of power outages.
Traditionally, vibration sensors are used to detect failures in rotating machines, but their ability is limited to detecting mechanical failures only, neglecting common electrical failures. Industry advancements in big data analytics and new software applications such as GE’s Predix-based APM solution, combined with new sensing techniques, have enabled new ways to more effectively monitor and fine-tune the performance of an ERM.
GE’s APM solution, powered by Predix, the application development platform for the Industrial Internet, connects, monitors and provides predictive analytics to the generator inside the plant. When deployed, it will collect data from electric sensors built into the generator asset.
The APM application analyzes streams of data with key intelligence about the health and performance of the generator asset while searching for signs of mechanical or electrical anomalies, which may lead to potential failure or inefficiency. These insights can, in turn, help operators to fine-tune parameters of the generator to improve its performance. More importantly, it will allow operators to solve potential problems before they occur, reducing costly unplanned downtime, mitigating risk and improving productivity. The data-driven operation method will also enable predictive maintenance, which means fixing machines before failures arise, without wasting time servicing them on a fixed schedule, and it will reduce excessive maintenance costs.
“The need for production efficiency has opened up new opportunities to use digital technologies to accelerate field automation and improve plant productivity. Enabling this shift to data-based intelligence to reap additional value should be the focused strategy for companies to sustain their competitiveness. We are pleased to work with Alco Bio Fuel to digitally transform their way of operations,” said Azeez Mohammed, president & CEO, GE’s Power Conversion business.
About GE
GE (NYSE: GE) is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. GE is organized around a global exchange of knowledge, the "GE Store," through which each business shares and accesses the same technology, markets, structure and intellect. Each invention further fuels innovation and application across our industrial sectors. With people, services, technology and scale, GE delivers better outcomes for customers by speaking the language of industry. To learn more, please visit www.ge.com.
About GE Power
GE Power is a world energy leader that provides technology, solutions and services across the entire energy value chain from the point of generation to consumption. We are transforming the electricity industry by uniting all the resources and scale of the world’s first Digital Industrial company. Our customers operate in more than 150 countries, and together we power more than a third of the world to illuminate cities, build economies and connect the world.
For more information, visit the company's website at www.gepower.com. Follow GE Power on Twitter @GE_Power and on LinkedIn at GE Power.
*Predix is a trademark of the General Electric Company.
Andy Jin
GE’s Power Conversion, Communications
[email protected]
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