Proficy Advanced Analytics: a Case Study for Real World PHM Application in Energy
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Abstract
GE monitors a large number of heavy duty equipment for energy generation, locomotives and aviation. These monitoring and diagnostic centers located world-wide sense, derive, transmit, analyze and view terabytes of sensory and calculated data each year. This is used to arrive at critical decisions pertaining to equipment life management - like useful life estimation, inventory planning and finally assuring a minimum level of performance to GE customers. Although a large number of analytical tools exist in today’s market, however, there is a need to have a tool at disposal which can aid not just in the analytical algorithms and data processing but also a platform for fleet wide deployment, monitoring and online processing of equipment. We describe a Prognostics & Health Management (PHM) application for GE Energy which was implemented using GE Intelligent Platform products and explore some capabilities of both the application and the analytics tool.
How to Cite
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condition monitoring, data preprocessing, Data Acquisition, Data-driven and model-based prognostics
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