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April 8, 2013 /PRNewswire/ -- Electricity is a necessity provided to us by the power grid: the largest machine man has ever created. Utility companies must efficiently monitor and maintain this aging grid and ensure its reliability. Today that process is shifting from time-consuming, complicated testing toward monitoring and intelligent systems that provide real-world analysis.
Stepping in to better equip and empower utility organizations with streamlined testing and management tools,
Doble Engineering announces three critically important solutions: dobleARMS
TM, the M7100 Power Apparatus Analyzer and Protection Suite 2.2.
Cutting through the Noise
Test data helps determine the health of critical assets, but the volume of data can be overwhelming. Available today, dobleARMS will provide utility companies with an online monitoring and risk assessment platform that goes beyond condition-based maintenance, delivering actionable diagnostic data to its users.
dobleARMS is the first product in the global power industry to seamlessly integrate real-time monitoring and offline test data with a sophisticated suite of intelligent, analytical tools. Its unique asset health scoring system lets users prioritize what requires immediate action while providing data needed to prepare long-term replacement and maintenance strategies.
The analytical tools in dobleARMS pull from online and offline data as well as FRANK, the First Response Analysis Knowledgebase, an artificial intelligence engine that leverages Doble's 80+ years of diagnostic test data.
An All-In-One Tool Kit for the Power Grid
Tackling two major concerns for utility workers – safety and time – Doble's M7100 will revolutionize the way offline testing is done. Available later this year, it will be on display for the first time this month at the 80
th International Conference of Doble Clients.
The solution will greatly reduce the number of ladder trips technicians are exposed to per job – sometimes cutting the number to nearly one third, significantly improving the safety and quality of field work by limiting exposure.