Keith Andreasen - Huntington Beach CA, US Robert Madison - Corona CA, US
International Classification:
G06F 19/00
US Classification:
701 33, 701 1, 701 29, 701 32, 340438, 340439
Abstract:
A method of processing vehicle diagnostic data is provided for identifying likely vehicle fix(s) associated with a diagnostic data, and identifying a repair procedure(s) for correcting the likely fix(s). The process receiving vehicle diagnostic data from a vehicle onboard computer at a remote diagnostic database, the database being arranged to map vehicle diagnostic data to possible vehicle fix(s). The possible vehicle fix(s) are prioritized in accordance with ranked matches of the received diagnostic data to combinations of diagnostic data stored in a prior experience database. The prior experience database having an identified fix associated with each stored combination of diagnostic data. The fix associated with the highest ranked combination of diagnostic data is identified as the most likely fix. The most likely fix is mapped to a vehicle repair database, the most likely fix being directly mapped to an associated repair procedure for repairing the most likely fix.
Ieon C. Chen - Laguna Hills CA, US Keith Andreasen - Garden Grove CA, US Phuong Pham - Huntington Beach CA, US Robert Madison - Corona CA, US
International Classification:
G06F 19/00
US Classification:
701 33, 701 1, 701 29, 701 32, 340438, 340439
Abstract:
There is provided a method of providing vehicle support. The method includes receiving diagnostic data from the onboard vehicle computer. The diagnostic data is received by an automotive diagnostic tool and is then communicated to a prior experience database having information related to diagnostic solutions associated with combinations of diagnostic data. The prior experience database is arranged to match the received diagnostic data to possible diagnostic solutions. The diagnostic solutions are then prioritized in accordance with ranked matches of the received diagnostic data to the previous combinations of diagnostic data stored in the prior experience database. The possible diagnostic solution associated with the highest ranked combination of diagnostic data is identified as the most likely solution. Vehicle components associated with the most likely solution are then identified. The diagnostic tool is subsequently configured to log diagnostic data related to the vehicle components associated with the most likely solution.
A method of processing vehicle diagnostic data is provided for identifying likely vehicle fix(s) associated with a diagnostic data, and identifying a repair procedure(s) for correcting the likely fix(s). The process receiving vehicle diagnostic data from a vehicle onboard computer at a remote diagnostic database, the database being arranged to map vehicle diagnostic data to possible vehicle fix(s). The possible vehicle fix(s) are prioritized in accordance with ranked matches of the received diagnostic data to combinations of diagnostic data stored in a prior experience database. The prior experience database having an identified fix associated with each stored combination of diagnostic data. The fix associated with the highest ranked combination of diagnostic data is identified as the most likely fix. The most likely fix is mapped to a vehicle repair database, the most likely fix being directly mapped to an associated repair procedure for repairing the most likely fix.
Ieon C. Chen - Laguna Hills CA, US Robert Madison - Eastvale CA, US Keith Andreasen - Garden Grove CA, US
Assignee:
INNOVA ELECTRONICS CORPORATION - Irvine CA
International Classification:
G06F 7/00
US Classification:
701 316
Abstract:
A method of processing system diagnostic data is provided for identifying likely device fix(s) associated with a diagnostic data, and identifying a repair procedure(s) for correcting the likely fix(s). The process receiving diagnostic data from a system onboard computer at a remote diagnostic database, the database being arranged to map system diagnostic data to possible vehicle fix(s). The possible device fix(s) are prioritized in accordance with ranked matches of the received diagnostic data to combinations of diagnostic data stored in a prior experience database. The prior experience database having an identified fix associated with each stored combination of diagnostic data. The fix associated with the highest ranked combination of diagnostic data is identified as the most likely fix. The most likely fix is mapped to a system repair database, the most likely fix being directly mapped to an associated repair procedure for repairing the most likely fix.
Ieon C. Chen - Laguna Hills CA, US Robert Madison - Eastvale CA, US Keith Andreasen - Garden Grove CA, US
International Classification:
G06F 17/00
US Classification:
701 296
Abstract:
A diagnostic scan tool is provided including a connect/configure module for establishing a communication link between the scan tool and a vehicle electronic control unit (ECU). A vehicle specification module operates to identify a vehicle under test in response to receipt of a vehicle identification number (VIN). A trouble code module receives digital trouble codes (DTCs) from the ECU. A freeze frame data module retrieves freeze frame data from the ECU, the retrieved freeze frame data being functionally associated with a highest priority DTC. A database lists possible vehicle defect solutions, indexed to the VIN and the DTCs. A digital signal processor is operative to derive the highest priority DTC from analysis of the retrieved freeze frame data. The digital signal processor further being operative to regulate selection of a most likely vehicle defect solution associated with the VIN and the highest priority DTC.
Robert Madison - Eastvale CA, US Keith Andreasen - Garden Grove CA, US
Assignee:
INNOVA ELECTRONICS, INC. - Irvine CA
International Classification:
G06F 17/00
US Classification:
701 296, 701 316
Abstract:
A method of processing vehicle diagnostic data is provided for identifying likely vehicle fix(s) associated with a diagnostic data, and identifying a repair procedure(s) for correcting the likely fix(s). The process receiving vehicle diagnostic data from a vehicle onboard computer at a remote diagnostic database, the database being arranged to map vehicle diagnostic data to possible vehicle fix(s). The possible vehicle fix(s) are prioritized in accordance with ranked matches of the received diagnostic data to combinations of diagnostic data stored in a prior experience database. The prior experience database having an identified fix associated with each stored combination of diagnostic data. The fix associated with the highest ranked combination of diagnostic data is identified as the most likely fix. The most likely fix is mapped to a vehicle repair database, the most likely fix being directly mapped to an associated repair procedure for repairing the most likely fix.
Michael Nguyen - Norwalk CA, US Robert Madison - Eastvale CA, US Keith Andreasen - Garden Grove CA, US
International Classification:
G06F 7/00
US Classification:
701 296, 701 319
Abstract:
There is provided a method of predicting defects likely to occur in a vehicle over a predetermined period. The method includes receiving vehicle characteristic data regarding a vehicle under consideration, and comparing the received vehicle characteristic data with a defect database. The defect database includes information related to defects that have occurred in different vehicles and the mileage at which such defects occurred. The method additionally includes identifying defects that occurred in vehicles corresponding to use vehicle under consideration, and the mileage at which such defects occurred. Detects which fail to satisfy minimum count requirements are then filtered out, and the defects are then sorted in order of the highest defect count.
Aug 2004 to 2000 Armed Security Police OfficerLangley NASA Research Center
Jan 2005 to Apr 2007 Armed Security Police OfficerPassenger
Aug 2002 to Jul 2005 Baggage ScreenerPortsmouth Naval Shipyard Portsmouth, VA Oct 2001 to Sep 2002 Armed Security OfficerTrinity Missionary Baptist Church Sumter, SC Jan 1994 to May 2001 TreasurerTrinity Missionary Baptist Church
Oct 1998 to Jan 2001 Local Sort SupervisorUnited States Air Force Shaw AFB, SC Jan 1980 to Dec 1993 Tactical Air Command and Control TechnicianU.S. Air Force Sunnyvale, CA Jan 1973 to Jan 1980 Teletype Telecommunications Specialist
Aero Turbine Goodyear, AZ Oct 2013 to Aug 2014 aircraft structures/ sheet metalTrans Pac Deer Valley, AZ Jan 2014 to Apr 2014 Aviation mechanic techAviation Fuel Systems Repair Los Angeles, CA Jan 2009 to Nov 2012 Aircraft MaintenanceFedex Office Los Angeles, CA May 2007 to Jan 2009 Production OperationsWilshire Center Dental Group Los Angeles, CA Mar 2003 to May 2007 Dental Assistant
Education:
Crimson Technical College Los Angeles, CA 2011 to 2013 AirFrame & PowerplantAmerican Career College Los Angeles, CA 2002 to 2003 Certificate in DentalAcademy Pacific Business/Travel College Los Angeles, CA 1998 to 1999 Certificate in Hospitality Management
Skills:
Preoficient in Microsoft Office (Word, Excel, PowerPoint, Outlook) 45wpm
Jan 2009 to Present Aircraft Maintenance Tech.Fedex Office Los Angeles, CA May 2007 to Jan 2009 Associate Production OperatorWilshire center dental group Los Angeles, CA Mar 2003 to May 2007 Dental AssistantWilshire Grand Hotel Los Angeles, CA May 1998 to Mar 2003 Front Office Coordinator
Education:
Crimson Los Angeles, CA 2011 to 2013 Airframe & PowerplantAcademy Pacific Career College Los Angeles County, CA 2002 to 2003 Certified in Dental AssistingAcademy Pacific Business College Los Angeles, CA 1998 to 1999 Certified in Hospitality Management
Skills:
Inventory Management, Customer Service Management,Maintenance and Data Entry Proficient in Word, Office,Excel,Internet and Emails
Manitowoc WIowner at Mad About Music I have been in the music business since 1982. I have been married for 19 years and have 2 boys ages 9 and 15. My wife and I opened our own business in 2007.