machine learning
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Connected Plant
Curtiss-Wright Signs Exclusive Agreement with APS to Commercialize Equipment Anomaly Detection Technology
BREA, CA – January 31, 2020 – Curtiss-Wright Corporation announced today it has signed an exclusive agreement with Arizona Public Service Company (APS) to commercialize APS’s equipment anomaly detection (EAD) technology. APS’s EAD technology uses machine learning to detect anomalies in plant equipment and systems, allowing operators to improve performance and prevent failures. “This […]
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IIOT
Technology’s Role in Shaping 2020—and Beyond
In the year 2020, the energy sector will continue to undergo major changes. From doubling-down on alternative energy sources—as the world places more importance on sustainability—to the large number of workers retiring in droves, there will be substantial shifts in the way energy companies, including power generators and oil and gas producers, prioritize in the […]
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Connected Plant
The POWER Notebook: Power Sector Digitalization Accelerates
The pace at which new digitalization technologies are being adopted in the power sector is dizzying, but news from major players in the sector—among them, AES, Invenergy, Google, and IBM—this week suggests it will only accelerate. For more insight into power plant digitalization, including the latest in digital monitoring, diagnostic, analytics, Industrial Internet of Things […]
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Coal
Utility Business Model Reform and the Role of Big Data
Stories about seismic changes ready to hit utilities and transform their century-old business models fill power industry newsletters and media. But rarely do I see any purveyors of industry news provide a
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IIOT Power
How Digital Intelligence Can Be a Difference-Maker for Power Plants
Advanced technology now makes it possible for computers to do many of the monitoring and diagnostic tasks that used to require seasoned experts. Artificial intelligence and machine learning tools are being
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IIOT Power
Advanced Digital Technology Offers Utilities Profound Changes
Advanced digital technologies, including robotics, artificial intelligence, and machine learning, are transforming the way electric power companies do business, in ways that benefit the companies and their
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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
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
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O&M
Consider Automated Machine Learning for Wind Turbine Asset Maintenance
The potential financial benefits from Industry 4.0 are apparent to plant owners in almost all sectors. The wind power industry is no exception, and existing vendors such as GE (Predix/Digital Windfarm)
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O&M
Energy Generation from A-to-Z with Machine Learning
The human brain is an amazing thing, but it has limitations. However, with the advent of machine learning, the limitations of the human brain no longer have to be the limitations of civilization. Machine