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TMCNet:  General Electric Assigned Patent for Method, System, and Computer Software Code for Wireless Remote Fault Handling on a Remote Distributed Power...

[February 01, 2013]

General Electric Assigned Patent for Method, System, and Computer Software Code for Wireless Remote Fault Handling on a Remote Distributed Power...

(Targeted News Service Via Acquire Media NewsEdge) General Electric Assigned Patent for Method, System, and Computer Software Code for Wireless Remote Fault Handling on a Remote Distributed Power Powered System By Targeted News Service ALEXANDRIA, Va., Feb. 1 -- General Electric, Schenectady, N.Y., has been assigned a patent (8,364,338) developed by Glen Paul Peltonen, Palm Bay, Fla., Gary Mason, Melbourne, Fla., and Joseph Mario Nazareth, Rockledge, Fla., for a "method, system, and computer software code for wireless remote fault handling on a remote distributed power powered system." The abstract of the patent published by the U.S. Patent and Trademark Office states: "A method for remotely administering a fault detected on an unmanned powered system that is controlled through a lead powered system, the method including detecting an operational fault on an unmanned powered system, communicating information about the fault to the lead powered system, through a wireless communication protocol operable with a wireless communication system, and communicating a reset message to the unmanned powered system to reset the fault detected. A system and computer software code, stored on a computer readable media and executable with a processor, are also disclosed for remotely handling a fault detected on an unmanned powered system that is controlled through a lead powered system." The patent application was filed on March 13, 2009 (12/403,557). The full-text of the patent can be found at http://patft.uspto.gov/netacgi/nph-Parser Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=8,364,338.PN.&OS=PN/8,364,338&RS=PN/8,364,338 Written by Kusum Sangma; edited by Anand Kumar.



KS0201AK0201-836728 (c) 2013 Targeted News Service

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