MFPT 2018

Emerging technologies are expanding the implementation of Condition Monitoring to markets and applications not previously practical or economically feasible. This trend is particularly observable as Industrial OEMs develop CBM programs for their own hardware. Data driven analytic approaches to CBM can result in the development of additional monitoring tools and expanded suite of condition indicators using both existing and new instrumentation, and overcoming limitations with traditional approaches developed for rotating/reciprocating equipment. Transferring learning from the lab to the field introduces challenges and obstacles to optimum deployment that opens the door to new, embedded sensor technologies. Bandwidth limitations in existing control systems drive the need for edge node processing or deployment of completely new CBM networks.
The paper will highlight an oil and gas pump condition monitoring case study, which used data driven analytics, but also faced several challenges with respect to the field instrumentation. We will suggest future work to overcome the deployment challenges with new technologies.