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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Abstract: An exercise machine for conditioning muscles of the lower body, abdomen and torso utilizes dual elastic cord resistance to force exerted on a moving platform which rides on rollers set in tracks on the frame. When used suspended with adjustable straps from door hook attachment, user leans back against vertical moving padded platform and exerts downward pressure in a deep knee bend motion and up again. When used horizontally on the floor user mounts machine on all fours with shins on platform and arms extended towards opposite end of machine with hands around grips of adjustable bar assembly. Movement is gained by extending and contracting lower body while moving platform back and forth. Also, user may kneel on a pad which may be located just beyond and facing the machine. With hands securely gripping platform handles user may exert force and move platform to other end of machine by extending torso over said machine.

Abstract: An exercise machine for conditioning muscles of the lower body, abdomen and torso utilizes dual elastic cord resistance to force exerted on a moving platform which rides on rollers set in tracks on the frame. When used suspended with adjustable straps from door hook attachment, user leans back against vertical moving padded platform and exerts downward pressure in a deep knee bend motion and up again. When used horizontally on the floor user mounts machine on all fours with shins on platform and arms extended towards opposite end of machine with hands around grips of adjustable bar assembly. Movement is gained by extending and contracting lower body while moving platform back and forth. Also, user may kneel on a pad which may be located just beyond and facing the machine. With hands securely gripping platform handles user may exert force and move platform to other end of machine by extending torso over said machine.