A post on the Utility Analytics Institute website discusses how utilities are using machine learning to prevent equipment failure.
“In the power industry, the ability to avoid equipment failure is invaluable. It can save lives, man hours and millions of dollars. Technologies available through the Industrial Internet of Things (IIoT) and big data analytics are enabling utilities to do just that. In particular, predictive analytics software with machine learning capabilities is providing utilities with early warning notification that a piece of equipment is experiencing problems or heading towards failure, days, weeks or months ahead of operational alarms.”
View the full article “How machine learning empowers power industry staff to prevent equipment failure” written by Schneider Electric's Manager of Analytical Services Mike Reed on the Utility Analytics Institute website.
Company to deliver remote monitoring services and predictive analytics for improved plant reliability and equipment performance
LAKE FOREST, Calif. (Jan. 5, 2016) – Schneider Electric Software, a global leader in industrial software and part of Schneider Electric, the global specialist in energy management and automation, announced today that Basin Electric Power Cooperative has contracted its Monitoring & Diagnostics Services Center (MDSC) for remote analysis of critical assets using Avantis® PRiSM software.
PRiSM will be used to monitor the health and performance of critical assets at five Basin Electric plants, including combined-cycle and natural gas plants. Schneider Electric analysts at the MDSC are currently developing, training and deploying more than 150 asset models that will be used by the software to provide early warning notification that a piece of equipment is heading towards failure.
“This system can detect subtle anomalies, such as step changes in any of the combustion turbine processes, before traditional operational alarms,” said Kevin Tschosik, Manager of Distributed Generation for Basin Electric. “This should increase both our reliability and availability for the combustion turbine sites and our combined-cycle plant, preventing high repair costs.”
The recent agreement marks an expansion of Schneider Electric’s existing relationship with Basin Electric, as the company installed Schneider Electric’s Wonderware eDNA enterprise historian software in 2012. Basin Electric is one of the largest electric generation and transmission cooperatives in the United States, providing wholesale power to 138 member cooperative systems in nine states.
“Using PRiSM, engineers at our MDSC help customers leverage the Industrial Internet of Things (IIoT) for data-driven insights that help them achieve the greatest return on assets,” said Mike Reed, Manager of Analytical Services at Schneider Electric. “We use machine learning and diagnostics technology, coupled with years of experience, to provide early warning of equipment problems to ultimately reduce unscheduled downtime, improve reliability and control maintenance costs.”
Schneider Electric’s MDSC provides comprehensive monitoring and diagnostics services for all asset types, regardless of manufacturer. Schneider Electric also offers analytic services to support a customer’s internal team of analysts, providing assistance every step of the way from model training, to diagnostics, to best practices and recommendations.
Avantis PRiSM predictive asset analytics software is part of Schneider Electric's expanding software business for power, oil and gas, mining and other process industries. For more information about Schneider Electric Software, visit software.schneider-electric.com.
* Predictive analytics on the Schneider Electric blog
* Schneider Electric solutions for the power industry
Nation's largest public power provider to use real-time historian software for situational awareness and the management of electric power generation and transmission system data
LAKE FOREST, Calif. (Dec. 7, 2015) – Schneider Electric Software, a global leader in industrial software and part of Schneider Electric, the global specialist in energy management and automation, announced today that the Tennessee Valley Authority (TVA) has entered into an enterprise agreement to implement its real-time historian software. TVA will deploy the solution across its entire fleet of generation and transmission assets, including combined-cycle, combustion turbine, coal, nuclear and hydropower plants.
TVA, a corporation owned by the U.S. government, provides electricity for 9 million people in parts of seven southeastern states and has a generating capacity of more than 37,000 MW. The recent agreement marks an expansion of Schneider Electric’s existing relationship with TVA, as the utility installed their predictive asset analytics software for early warning detection and diagnosis of equipment problems for its power generation units in 2011.
“The continued expansion of the Industrial Internet of Things is enabling exponential growth in the deployment of smart devices and sensors for plant and power grid applications, further driving the need for significant focus on the real-time data management infrastructure,” said Rob McGreevy, Vice President of Information, Operations and Asset Management at Schneider Electric. “We are proud that our technology continues to be the historian technology of choice for industry-leading organizations like TVA.”
The Schneider Electric historian provides TVA with a reliable and scalable data management infrastructure for collecting, archiving, displaying, analyzing and reporting on operational and asset health related data. Advanced user applications provide secure visibility of this information to make the data accessible throughout the organization for informed and timely decisions. Customers have reported that the use of Schneider Electric’s historian has led to operational staff productivity increases of up to 75 percent.
For more information about Schneider Electric Software, visit software.schneider-electric.com.
*Schneider Electric solutions for the power industry
Duke Energy, CF Industries, South Carolina Electric & Gas, San Francisco Public Utilities Commission and National Grid Awarded for Innovative Use of Avantis and Wonderware Solutions
LAKE FOREST, Calif. (Nov. 17, 2015) – Schneider Electric Software, a global leader in industrial software and part of Schneider Electric, the global specialist in energy management and automation, recognized several of its customers at the Software User Conference for Avantis, eDNA, EBS and PRiSM products in Chicago. Several awards were presented for original and advanced uses of Schneider Electric Software solutions.
The Avantis PRiSM Catch of the Year was awarded to Duke Energy for early identification of a steam turbine rotor issue, estimated at several million in savings. CF Industries received the Avantis.PRO Asset Excellence Award for incorporating new functionalities that have enabled the company to achieve significant cost savings through streamlining processes, aggregated sourcing and performance analysis.
South Carolina Electric & Gas (SCE&G) received the eDNA Innovation Award for best real-time data management infrastructure. SCE&G has an impressive display of dynamic eDNA View screens in their operations and control room in addition to a “reliability wallboard” for improved situational awareness.
The award for Best eDNA View Display was presented to the San Francisco Public Utilities Commission for creating a comprehensive display that shows the vital indicators for water storage, flow, power and quality across sites in one highly informative screen.
National Grid was presented with the eDNA Most Creative Custom Application Award for development of a custom application that displays projected solar and wind forecasts, in addition to voltage forecasts. The application enables engineers to see current and near term future trends at a glance.
“Our customers continue to amaze us year after year with advanced applications of our software that enable them to solve business challenges, control expenditures and improve overall operations,” said Rob McGreevy, Vice President of Information, Operations and Asset Management at Schneider Electric. “The awards ceremony provides us an opportunity to thank them for their continued support and feedback while also allowing peers to learn from each other by discussing how they achieve the greatest value from their software investments through unique applications, custom displays, or simply making full use of a product’s native capabilities.”
Schneider Electric hosts several user conferences each year for various products within the software portfolio, including Wonderware North America, IntelaTrac User Group and SimSci Simulation for Business Excellence, among others.
For more information about Schneider Electric Software, visit software.schneider-electric.com.
This article in the November issue of Plant Services magazine discusses how enterprise asset performance management combines known rules and machine learning for better maintenance decision-making. Enterprise asset performance management solutions enable customers to exceed safety, reliability, and performance goals through data collection and analysis coupled with actions and optimization for proactive maintenance execution.
“The result is maximum economic return for all assets, either through early warning notification of equipment issues, through making the workforce more efficient, or through improved access to relevant and contextual information that can be served up on a mobile device. The benefits are real, with the value rooted in system connectivity which enables continuous improvement and better choices. It's simply a matter of asking, what will an hour of downtime cost me, and what if I can prevent that?”
View the full article “Making enterprise asset performance management work for your plant” written by Schneider Electric's Director of Asset Management Kim Custeau on the Plant Services website.