| 主权项 |
1. A method of determining a predictive failure for vehicular component comprises the steps of:
(A) providing a vehicle with a plurality of part sensors and an on-board computing (OBC) device, wherein each part sensor is communicably coupled with the OBC device; (B) providing at least one remote server, wherein the remote server is communicably coupled with the OBC device; (C) providing a primary dataset and a secondary dataset for each part sensor, wherein the primary dataset is associated with an active performance-defined range, and wherein the secondary dataset is associated with an updatable total time duration; (D) timestamping and uploading a performance time-dependent data (PTDD) point from each part sensor to the remote server; (E) sorting the PTDD point into the secondary dataset with the remote server, if the PTDD point is outside the active performance-defined range, and if the primary dataset is empty; (F) sorting the PTDD point into the primary dataset with the remote server, if the PTDD point is within the active performance-defined range, or if the primary dataset is not empty; (G)repeating steps (C) through (F) throughout each after-initial trip completed by the vehicle in order to populate the primary dataset and the secondary dataset for each part sensor with a plurality of PTDD points; and (H) identifying a potential vehicular problem during an arbitrary trip with the remote server, if an actual total time period for the secondary dataset is not equal to the updatable total time duration during the arbitrary trip, or if an arbitrary PTDD point within the primary dataset is outside of the active performance-defined range during the arbitrary trip, wherein the arbitrary trip is any one of the plurality of after-initial trips. |
