Equipment failure can be expensive, and potentially catastrophic. Unplanned production downtime, missed contract deadlines, costly machinery replacements, as well as safety problems, environmental ...

Predictive maintenance is preferred over preventive maintenance for critical assets, but the correct application of advanced analytics is required to realize full value. Power plants of all types have ...

Data analysis is helping operators in the solar power sector develop more efficient systems that optimize operations and deliver cost savings. Utilities and other developers of solar power ...

Univation's new C3 AI–powered predictive maintenance solution for the petrochemical industry delivers enhanced operational efficiency, reduced maintenance expenses, and improved asset availability — ...

Manufacturers are navigating a tempestuous landscape, wrestling with the intertwined challenges of pandemic-induced disruptions, potential tariffs and evolving policy shifts that strain global supply ...

Balancing operational costs and business efficiency continues to be a significant challenge for enterprises everywhere. In the event of equipment failure, the resulting revenue and productivity losses ...

Predictive maintenance plays a crucial role in the oil and gas industry. That’s what GlobalData outlined in a release sent to Rigzone recently, which highlighted that a recently released GlobalData ...

In this article, MaintainX shares a collection of useful stats and insights about preventive maintenance, predictive analytics, artificial intelligence, and other trends that impact maintenance teams.

Predictive maintenance holds the potential to help fleets prevent vehicle breakdowns while reducing upkeep costs by predicting when parts will fail based on performance data and other information. But ...

Predictive maintenance has helped the Greater Cleveland Regional Transit Authority reduce costs and extend bus service life. Until June 2015, GCRTA’s fleet maintenance program was built around ...