TURBINEPHD

USPTO USPTO 2011 CANCELLED - SECTION 8

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The US trademark TURBINEPHD was filed as Word mark on 08/03/2011 at the U.S. Patent and Trademark Office.
It was registered as a trademark on 09/10/2013. The current status of the mark is "CANCELLED - SECTION 8".

Trademark Details

Trademark form Word mark
File reference 85387878
Register number 4400649
Application date August 3, 2011
Publication date December 4, 2012
Entry date September 10, 2013

Trademark owner

110 Riggs Road
05461 Hinesburg
US

Trademark representatives

goods and services

9 Wind turbine condition monitoring system, comprised of scientific instruments for weighing, measuring, signaling and monitoring, namely, electronic sensors, accelerometers and data acquisition computer hardware and graphical user interface software; devices and instruments for conducting, switching, transforming, accumulating, regulating or controlling electricity, namely, power supplies for use with data acquisition computer hardware and graphical user interface software, accelerometers and microphones for condition monitoring of wind turbines; blank magnetic data carriers; magnetic data carriers featuring data about condition of wind turbines; data processing equipment; all the aforementioned goods for use in connection with the condition and monitoring of wind turbines
42 Scientific and technological services, in the nature of technical analysis of data material, namely, data automation and collection service using proprietary software to evaluate, analyze and collect service data for use in connection with the condition and monitoring of wind turbines; design and development of industrial control and measuring systems for others for condition monitoring of wind turbines in the nature of technical support, namely, computer monitoring service which tracks hardware performance and processes and sends out historical reports and alerts; Information technology (IT) services, in the nature of preparation of condition monitoring analyses of wind turbines, namely, data mining and prognostics in the nature of predicting technological function issues in wind turbines; monitoring using industrial control and measuring systems of wind turbines, namely, data mining and prognostics in the nature of predicting technological function issues in wind turbines

ID: 1385387878