EDGAR SITIO Big Data Project

The Project purpose was to find and diagnostics of accumulated fouling in the E52301 heat exchanger of Nederlandse Gasunie cooperation.
Diagsense has implemented a “system for prognostics and diagnostics of evolving failures in mechanical parts” for historical data supplied by Gasunie.
Data obtained was low in recording frequency and, DiagSense has shown two clear increasing trends of abnormalities, which can be interpreted as a fouling event. Monitoring the fouling accumulation in real time allows discovery of an optimal timing for the maintenance of heat exchanger.
This CBM approach can be applied to any mechanical system: engine, gear mesh, generator or pipeline, the term “failure” will be accordingly defined and will lead us to the proper definition of variables used.