Even back when I was a young engineer in the 1980s, we had condition monitoring solutions for our large turbine generators and compressors on the offshore oil & gas production platforms in the Gulf of Mexico.
Condition monitoring technology has advanced greatly since then. Now, Industrial Internet of Things (IIoT)-based sensors can feed much of the data to enable more assets – not just rotating equipment – to be monitored and protected. In a recorded webinar, Reducing Unplanned Downtime with IIoT-powered Condition Monitoring, Emerson’s Mike Boudreaux shares a 3-step process to improving equipment reliability.
Mike opens describing the evaluation of the true cost of unplanned downtime, not only in terms of lost production, but also in increased costs to expedite, increased safety & environmental risks in abnormal situations caused by equipment failure, and depleted inventories and/or increased lead times to meet customer requirements.
IIoT-based sensors enable cost-effective connectivity and advanced computing & analytical methods to be applied to a wide range of plant equipment. The data from these sensors, connected securely to advanced analytics packages, enable experts—no matter where they are located—to identify issues to resolve before they lead to downtime. Moving from a reactive to proactive culture improves not only reliability, but overall business performance.
The 3-step process includes:
- Start with critical equipment & applications
- Monitor equipment while it is operating (between planned maintenance events)
- Optimize planned maintenance
Register to watch the webinar recording as Mike describes these steps in greater detail. IIoT-based sensors and data analytics software are important components in the Plantweb digital ecosystem. For more information, visit the Plantweb digital ecosystem section on Emerson.com.