Archive for Predictive Analytics – Page 2

“If It Ain’t Broke, Prevent It From Breaking:” IoT and IoE in Prescriptive Maintenance for Turbines

How IoT and IoE are Impacting Power Generation via Prescriptive Maintenance of Turbines From a mechanical standpoint, turbines are engineering marvels. These massive machines have thousands of delicate moving parts, each with precision tolerances necessary to achieve maximum efficiency and complex maintenance routines. Even a minute disturbance in the turbine’s system can trigger a catastrophic […]

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Iot in Oil and Gas Coming to Houston on September 13th and 14th

For anyone following the industrial-iot.com website they will know that we have been beating a loud and somewhat consistent drum about the real business value that we believe IIoT-enabled solutions can provide companies operating in the oil & gas industry – upstream, midstream and downstream. We also make every effort to make operators and end […]

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Tales from the Industry of Things

The increasing number of IoT related events on the calendar should not have escaped notice. Here in Singapore, for instance, we have gone from having none in 2013, one in 2014, and for this year, well, I need two hands to count the number of IoT conferences on the 2017 calendar. Still, at least for […]

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Operational Analytics and the Value of Iterative Improvement

There are many different types of operational analytics. Solutions offered are far ranging, such as enhancements in traditional statistical methods, model-based techniques that include streaming data, and the use of machine learning. Additionally, some of the techniques can also applied for specific effect, such as natural language processing and semantic search. Trying to find a […]

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Digitizing Subject Matter Expertise Part 3: Implementing Digital Knowledge Strategies

Note: This is the third blog of a three-part series that examines human expertise as part of digital transformation. Digitizing subject matter expertise is critical for companies that want to implement prescriptive, agile operational processes, such as maintenance. The term for doing so is called digital knowledge. Digital knowledge is the discipline of encoding human expertise […]

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