predictive maintenance
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Technology
The POWER Interview: What Is Big Data?
The term “Big Data” is used frequently by tech-savvy power industry professionals, but what does it really mean. To get an insider’s perspective, POWER posed the question to Akshay Patwal, strategic business manager with Siemens Energy. Patwal leads the development and commercialization of digital business transformation projects, using big data platforms and analytics to create […]
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Press Releases
Digital leader ABB provides Enel Green Power with predictive software for sustainable hydro operations
ABB is partnering with Enel Green Power to deliver innovative predictive maintenance solutions that will lower maintenance costs and transform the performance, reliability and energy efficiency of its hydropower plants throughout Italy. The three-year contract will enable 33 of Enel Green Power’s hydroelectric plants, comprised of about 100 units, to move from hours-based maintenance to […]
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Connected Plant
Temperature Monitoring Protects Low-Voltage Assets
Early detection of increased temperatures helps avoid power distribution asset-related failures and unplanned shutdowns. Wireless technologies make implementing this predictive maintenance solution practical
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Press Releases
Enel Green Power First in North America to Deploy New Predictive Maintenance Technology at Geothermal Plants
The software technology, created by NarrativeWave, will enable Enel Green Power North America to better anticipate maintenance needs at its geothermal sites saving the company time and money The technology has now been deployed at all of Enel Green Power’s North American geothermal sites, Cove Fort, Salt Wells and Stillwater BOSTON, May 30, 2019 (GLOBE […]
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Connected Plant
Digitization and Analytics in Power Plants
A key aspect of any digitization effort is providing easy access to data by engineersand other experts so they can perform advanced analytics to improve outcomes. In the March 2018 issue of POWER, an article
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IIOT Power
Using Predictive Analytics to Keep Up with Energy Demand
Silicon Valley Power implemented a system using machine-learning technology to monitor critical power plant components. The solution has proven to reduce downtime and save money. Furthermore, its wireless
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IIOT Power
Moving from Preventive to Predictive Maintenance with Advanced Analytics
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 a host
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O&M
Improving Plant Efficiency with Pump Performance and Condition Monitoring
All the elements necessary to implement a complete and economical pump monitoring system are now available. It’s simply a matter of assembling the pieces. Within the walls of a thermal generating plant using
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O&M
Software Helps with Proactive Maintenance
Utilities and power plant equipment providers know that maximizing the value of their assets includes keeping them maintained and online. Minimizing downtime is critical, certainly when it comes to keeping the
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IIOT Power
Unsupervised Machine Learning: The Path to Industry 4.0 for the Coal Industry
Artificial intelligence and machine learning aren’t just fictional pieces of futuristic Hollywood movies. Power plants can deploy these innovative technologies today to more accurately predict the condition