Serial Number
85387878
Owner
NRG SYSTEMS, INC.Attorney
Douglas R. WolfFirst Use Date
Apr 17, 2013
Filing Date
Aug 3, 2011
TURBINEPHD Trademark
Serial Number: 85387878 • Registration: 4400649
Trademark Classes
Owner Contact Info
Legal Representation
Trademark Details
Filing Date
August 3, 2011
Registration Date
September 10, 2013
First Use Anywhere
April 17, 2013
First Use in Commerce
April 17, 2013
Published for Opposition
December 4, 2012
Cancellation Date
June 5, 2020
Goods & Services
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
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
