PRLog - April 15, 2014 - CHICAGO -- As nuclear power facilities across the globe continually strive to operate with the highest levels of reliability and efficiency, InStep Software will share insight and best practices for asset performance management at the POWER-GEN India & Central Asia 2014 conference.
The event takes place May 5-7, 2014, in Pragati Maidan, New Delhi, India, and will feature more than 100 power generation topics, including sessions on renewables and transmission & distribution. As part of the conference’s nuclear track, InStep Software will present on “Using the Power of Predictive Asset Analytics to Increase Nuclear Equipment Reliability.”
The InStep presentation will highlight how nuclear power plants can use predictive analytics solutions to increase efficiency, reduce unscheduled downtime, better plan for maintenance and improve overall equipment reliability. It will explain why centralized, advanced monitoring capabilities allow nuclear facility operators and engineers to maintain and optimize the performance and health of the entire system. In addition, this presentation will highlight how the implementation of a predictive analytic solution leads to immediate and compound benefits, such as increased situational awareness, early warning of potential failures and extended equipment life.
InStep’s predictive analytics solution, PRiSM (http://www.instepsoftware.com/
POWER-GEN India & Central Asia 2014 (http://www.power-
To learn more, visit www.instepsoftware.com.
About InStep Software, LLC
InStep Software is a leading provider of real-time performance management and predictive asset analytics software solutions. InStep’s software products extend the investment in modern control, monitoring and smart devices by collecting, archiving, displaying, analyzing and reporting the information provided by these systems. Many of the world’s most successful companies use InStep’s software products to actively manage and analyze the rapidly growing amount of real-time operational, asset health and regulatory related information.