Digitally Enabling Maintenance and Reliability Management for Existing Engineering Systems

Webinar: June 16, 2021, 10 AM Central USA
Mark Walker  

Abstract

The field of Predictive Maintenance for engineering systems has enjoyed considerable growth over the last decade. From the benefits of faster and more powerful hardware in the form of wireless sensors, edge devices, and general computing capabilities (GPU’s and cloud computing), to the development of powerful algorithms for anomaly detection and remaining useful life (RUL) estimation, the number of engineering systems featuring advanced diagnostics and prognostics capabilities continues to grow at an increasing pace.
One of the aspects that is missing from such predictive maintenance applications is the ability to coordinate and orchestrate inferred and predicted asset condition according to an overall maintenance and reliability management strategy.
This webinar presents the authors’ experiences resulting from the application of diagnostic and prognostic analytics for equipment associated with the High-Pressure Gas Facility (HPGF) infrastructure at NASA’s Stennis Space Center in Hancock County, Mississippi. It also provides an example of how an ontologically inspired domain representation (a so-called operational “digital twin”) can be used to manage workflows and strategies associated with maintenance and reliability management.

June 16, 2021
Webinar Registration 

10 AM Central Time, USA
Duration: 1 hour