ECG & Woyshner Services announce Remote Equipment Health Monitoring Service Partnership

Akron, Ohio, May 20, 2019 /PRNewswire – Engineering Consultants Group, Inc. and Woyshner Services Inc. today announced a new partnership for providing advanced remote equipment health monitoring to power generation and heavy industrial customers. This partnership combines ECG’s Predict-It™ predictive analytics solution with WSC’s Equipment Reliability experts and business processes to provide a premium tier of remote equipment health monitoring. The Remote Monitoring will focus on real time equipment health and advanced health scorecards that link business plan goals with needed business plan investments.

ECG’s President Mike Santucci stated, “ECG and WSC are excited to announce we have signed our first customer for this advanced remote monitoring service and look forward to providing this service to many other clients.”

WSC’s President, Bill Woyshner, expressed his thoughts “Our partnership with ECG will enable WSC to deliver even better Equipment Reliability Services for our clients and guide client leadership to actions that will make step changes in their fleet’s operating performance, profitability and cost control adherence.”

US Navy’s SmartGrid Project

Akron, Ohio, May 16, 2019 – ECG is proud to be part of the US Navy’s SmartGrid Project. ECG’s Predict-It Solution was chosen to provide advanced predictive analytics and diagnostics for monitoring of the US Navy’s building and port facilities. Monitoring of the US Navy’s nine major operating sites is done remotely at their Naval Facilities Engineering Command Center. An overview of the US Navy’s Smart Grid project is shown in the video below.

ECG's Predict-It™ solution selected for Power Optimization Center's equipment reliability monitoring software

Akron, Ohio, May 9, 2019 /PRNewswire – ECG, a leader of Predictive Analytics software for use in monitoring real time equipment and process health, today announced that Luminant has selected the Predict-It™ Anomaly Detection Solution for remote monitoring of 32,000 megawatts of its generation fleet. Luminant operates its Texas-based Power Optimization Center (POC) to remotely monitor its diverse fleet of assets for early signs of equipment and process abnormalities, and to take proactive, planned steps to mitigate identified risks.

Luminant recently presented at the OSIsoft 2019 PI World Conference in San Francisco about its implementation of the Predict-It™ solution. The presentation can be viewed HERE . The Luminant team highlights its journey rolling out OSIsoft's PI System with contextualized data in Asset Framework in a cloud environment, and implementation of Predict-It™ in five weeks across 72 generating units. "Luminant has done a tremendous job in leveraging the PI System to create a competitive advantage over their peers through implementation of advanced business use cases," said David Thomason, Industry Principal at OSIsoft.

ECG's president Mike Santucci stated "We are very pleased that Luminant has selected our Predict-It™ solution as their predictive analytics software of choice." ECG's solution utilizes existing process data and turns it into meaningful, actionable information for more informed decision-making. Users can also take advantage of Predict-It™'s embedded Diagnostic Reasoner to probabilistically assess current machine faults for apparent cause diagnosis.

Navigant Research's White Paper "Finding the ROI in Digital Transformation" Cites ECG's Predict-It Solution in use at AGL

Akron, Ohio, May 6, 2019 /PRNewswire – Engineering Consultants Group, Inc.™ (ECG, Inc., www.ecg-inc.com ), a company focused on software development for end users of OSIsoft's PI System (OSIsoft, www.osisoft.com), is pleased to be cited in a recent White Paper issued by Navigant Research (www.navigantresearch.com). The White Paper, titled "Finding the ROI in Digital Transformation" was commissioned by OSIsoft to analyze its PI System use case, and to identify and highlight key trends and findings that its platform enabled for customers to gain accelerated positive returns of investment (ROIs).

In the Navigant paper, five OSIsoft PI System customers' digital transformation journeys are discussed in detail. ECG's Predict-It predictive analytics solution is highlighted in the case study for the AGL Group (AGL, www.agl.com.au), based in Australia. In early 2015, AGL began searching for a predictive analytics solution that could be developed exclusively for AGL's OSIsoft™ platform. "We needed a technology that would provide very early warning of active failure modes," said David Bartolo, Head of Operational Systems and Technology, AGL. "We wanted our assets to provide predictable reliability and this was only possible with an early warning system technology that we did not yet possess."

As part of their Digital Transformation Journey, AGL setup an Operational Diagnostics Center (ODC), which leverages the PI system to provide data archival, visualization, advanced analytics, and to connect to OSIsoft partner products like Predict-It. Based on their digital transformation work to date, AGL has reported financial benefits of $17.9M USD over the last 3 years, and a payback of less than 9 months for the software investments.

TEPCO to Implement ECG's Predict-It™ Analytics Solution

Akron, Ohio, April 24, 2019 /PRNewswire – Tokyo Electric Power Company (TEPCO) has selected Engineering Consultant Group's (ECG) Predict-It™ predictive analytics solution for their real time, equipment health remote monitoring technology at their remote monitoring center and Internet of Things (IoT) optimization center.

TEPCO (www.tepco.co.jp) , the largest utility in Japan, generates, transmits, and distributes electricity using hydroelectric, thermal, and nuclear power sources. TEPCO 's new Remote Monitoring and Internet of Things (IoT) optimization center will utilize ECG's Predict-It™ analytics to detect anomalies across their own domestic thermal power plants operations, such as Chiba, Futtsu, and Shinagawa, as well as other international thermal power station operators.

The monitoring center optimizes performance and reliability of thermal power plants through early anomaly detection, advanced diagnosis, and effective communication of developing issues to end users. Considered with other software and data analytic platforms, ECG's Predict-It™ was chosen to serve as an Early Anomaly Detection solution with the intention of optimizing power plant equipment reliability and maintenance practices.

Predict-It™ delivers value through the early detection and prevention of equipment health degradation and by providing advanced diagnostic capabilities for troubleshooting. Predict-It™ monitors critical equipment in real-time process environments and uses advanced pattern recognition methods to recognize potential faults. If the software identifies a deviation outside of a tolerance limit, it will initiate an event for a subject matter expert to review and investigate. The software leverages machine learning and advanced equipment diagnostics reasoning to provide advanced assessment of the equipment health and potential causes. The built in Diagnostic Reasoner™ leverages Bayesian Network technology for modeling of fault-symptom interactions. The system provides ranked probabilities of likely faults incorporating real-time anomalies along with other condition based health parameters. The case based networks get more precise as each new fault signature incident is included.

With Predict-It™, TEPCO will raise the bar on service, reliability, efficiency, and compliance beyond the plateau levels currently achievable using all other conventional best practices or alternative solution providers.

"TEPCO is leveraging their vast experience in power generation linked with advanced predictive analytics and diagnostics to gain new insights into operational and equipment abnormalities. Predict-It™ will complement their engineering and operational focus in the TEPCO remote monitoring center and Internet of Things (IoT) optimization center" said Jim Scavuzzo, Vice President of Product Development at ECG.

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