Leverage IIoT to Predict Asset Failure and Reduce Cost

Technology triggers like the Industrial Internet of Things, big data analytics, mobility and workflow collaboration represent new opportunities for significant improvements in asset reliability, efficiency and safety in the power industry. The market is shifting to a holistic and operations-centric view where proactive and predictive maintenance opportunities empower front-line personnel to act before costly failures or downtime occur.

Comprehensive maintenance programs allow utilities to be more efficient and effective in their operations and maintenance processes. A progressive maintenance strategy includes a combination of preventive, condition-based, predictive and reliability-centered measures. The higher you move up the maintenance maturity pyramid the more strategic and proactive your approach becomes and the more advanced warning of equipment problems is required.

When managing a large fleet of assets across numerous sites, making sense of the streams of operational data from multiple systems and from remote sources can become an impossible task. Most utilities today are using real-time enterprise historians to consolidate disparate data sources for a more comprehensive view of plant performance. To achieve the next level of operational efficiency, companies are building on that data management foundation with condition based and predictive asset analytic solutions.  They are leveraging the existing data to further improve operations by providing early warning detection of equipment issues before they lead to failure.

Predictive Maintenance Webinar

Predictive asset analytics software solutions use continuo...