Proficy Advanced Analytics: a Case Study for Real World PHM Application in Energy

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Subrat Nanda Xiaohui Hu

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

Nanda, S. ., & Hu, X. . (2011). Proficy Advanced Analytics: a Case Study for Real World PHM Application in Energy. Annual Conference of the PHM Society, 3(1), 2011. https://doi.org/10.36001/phmconf.2011.v3i1.1988
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Keywords

condition monitoring, data preprocessing, Data Acquisition, Data-driven and model-based prognostics

References
GE Intelligent Platforms. http://www.ge-ip.com Mathworks: http://www.mathworks.com

CSense Systems (Pty) Ltd. User’s manual for Proficy Advanced Analytics 5.0 (2011)

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Section
Poster Presentations