Abstract: Methods and systems for updating diagnostic and repair information are disclosed. In an example system, a first request indicative of a vehicle repair issue for a vehicle is received. A diagnostic flowchart for identifying and resolving the vehicle repair issue is then sent. A second request for further technical assistance and vehicle condition data collected during execution of the diagnostic flowchart are received. The diagnostic flowchart and the vehicle condition data are then sent. Diagnostic assistance information and feedback data indicating whether the vehicle repair issue has been identified and resolved are then received, and the diagnostic flowchart is updated accordingly.

Abstract: An example method for outputting a PID filter list (PFL) includes: receiving RO data from one or more ROs that indicate particular vehicle identifying information (PVII), at least one symptom identifier, and a particular vehicle component; determining, symptom-to-parameter-identifier (PID) mapping data (MD) based on the received RO data and component-to-PID MD; determining, based on the set of available PIDs for the SOV and the symptom-to-PID MD, a PFL, wherein the PFL is associated with the PVII and the at least one symptom identifier, and wherein the PFL indicates a symptom-based subset of PIDs from the set of available PIDs for the SOV; receiving, a request sent over a communication network from a display device, wherein the request comprises the PVII and the at least one symptom identifier; and transmitting, over the communication network to the display device, a response to the request, the response comprising the PFL.

Abstract: An example method for outputting a PID filter list (PFL) includes: receiving RO data from one or more ROs that indicate particular vehicle identifying information (PVII), at least one symptom identifier, and a particular vehicle component; determining, symptom-to-parameter-identifier (PID) mapping data (MD) based on the received RO data and component-to-PID MD; determining, based on the set of available PIDs for the SOV and the symptom-to-PID MD, a PFL, wherein the PFL is associated with the PVII and the at least one symptom identifier, and wherein the PFL indicates a symptom-based subset of PIDs from the set of available PIDs for the SOV; receiving, a request sent over a communication network from a display device, wherein the request comprises the PVII and the at least one symptom identifier; and transmitting, over the communication network to the display device, a response to the request, the response comprising the PFL.

Abstract: An example method for outputting a PID filter list (PFL) includes: receiving RO data from one or more ROs that indicate particular vehicle identifying information (PVII), at least one symptom identifier, and a particular vehicle component; determining, symptom-to-parameter-identifier (PID) mapping data (MD) based on the received RO data and component-to-PID MD; determining, based on the set of available PIDs for the SOV and the symptom-to-PID MD, a PFL, wherein the PFL is associated with the PVII and the at least one symptom identifier, and wherein the PFL indicates a symptom-based subset of PIDs from the set of available PIDs for the SOV; receiving, a request sent over a communication network from a display device, wherein the request comprises the PVII and the at least one symptom identifier; and transmitting, over the communication network to the display device, a response to the request, the response comprising the PFL.

Abstract: An example method for outputting a PID filter list (PFL) includes: receiving RO data from one or more ROs that indicate particular vehicle identifying information (PVII), at least one symptom identifier, and a particular vehicle component; determining, symptom-to-parameter-identifier (PID) mapping data (MD) based on the received RO data and component-to-PID MD; determining, based on the set of available PIDs for the SOV and the symptom-to-PID MD, a PFL, wherein the PFL is associated with the PVII and the at least one symptom identifier, and wherein the PFL indicates a symptom-based subset of PIDs from the set of available PIDs for the SOV; receiving, a request sent over a communication network from a display device, wherein the request comprises the PVII and the at least one symptom identifier; and transmitting, over the communication network to the display device, a response to the request, the response comprising the PFL.

Abstract: An example method includes determining identifying information for a vehicle to be serviced. The method further includes receiving at least one symptom identifier for the vehicle. The method further includes sending a request over a communication network to a remote server for a PID filter list for the vehicle, the request comprising the identifying information for the vehicle and the at least one symptom identifier for the vehicle. The method additionally includes receiving a response to the request over the communication network from the remote server, the response comprising the PID filter list for the vehicle. The method further includes determining, based on the PID filter list for the vehicle, a symptom-based subset of PIDs for the vehicle from a set of available PIDs. The method additionally includes displaying, on a display interface, the symptom-based subset of PIDs for the vehicle.

Abstract: Systems and methods pertaining to generating a test drive script (TDS) based on vehicle data values (VDV) from a vehicle and driving circumstance parameters (DCP) that correspond to use of the vehicle when the VDV are captured are described herein. The TDS can include a baseline path that includes the paths taken by the vehicle while the VDV are captured. The TDS can include an alternate path that includes paths that approximate one or more paths taken by the vehicle while the VDV are captured. The VDV can include, but are not limited to, DTC and PID values from the vehicle. The DCP can include, but are not limited to, traffic condition parameters, meteorological parameters, location parameters, and motion parameters. The TDS can include notifications to alert a user to a location where certain VDV were captured to assist the user in recreating a symptom in a vehicle.

Abstract: Described herein are methods and devices for determining potential-repair information related to a vehicle based on content of a vehicle repair database. According to an example method, a computing device can receive vehicle information that includes a vehicle identifier for a vehicle type. The computing device can then determine, based on the vehicle information, at least two top repair order items in a first category of repair order items. For example, the at least two top repair order items may be related to the first vehicle type and determined from among a plurality of repair order items in the first category of repair order items that are related to the first vehicle type. The example method can further involve providing, by the computing device, a display of a graphical representation of the at least two top repair order items in the first category of repair order items.

Abstract: Systems and methods pertaining to generating a test drive script (TDS) based on vehicle data values (VDV) from a vehicle and driving circumstance parameters (DCP) that correspond to use of the vehicle when the VDV are captured are described herein. The TDS can include a baseline path that includes the paths taken by the vehicle while the VDV are captured. The TDS can include an alternate path that includes paths that approximate one or more paths taken by the vehicle while the VDV are captured. The VDV can include, but are not limited to, DTC and PID values from the vehicle. The DCP can include, but are not limited to, traffic condition parameters, meteorological parameters, location parameters, and motion parameters. The TDS can include notifications to alert a user to a location where certain VDV were captured to assist the user in recreating a symptom in a vehicle.

Abstract: Described herein are methods and devices for determining potential-repair information related to a vehicle based on content of a vehicle repair database. According to an example method, a computing device can receive vehicle information that includes a vehicle identifier for a vehicle type. The computing device can then determine, based on the vehicle information, at least two top repair order items in a first category of repair order items. For example, the at least two top repair order items may be related to the first vehicle type and determined from among a plurality of repair order items in the first category of repair order items that are related to the first vehicle type. The example method can further involve providing, by the computing device, a display of a graphical representation of the at least two top repair order items in the first category of repair order items.

Abstract: Described herein are methods and devices for determining estimate information related to at least one potential vehicle fix for a vehicle based on vehicle information and content of a vehicle repair database. According to an example method, a computing device can receive vehicle information that includes a vehicle identifier and vehicle-usage data for a vehicle. The computing device can then determine repair information that relates to the vehicle from the vehicle repair database based on the vehicle information. The repair information can include at least one potential vehicle fix to a given malfunction. The example method can further involve determining estimate information related to the at least one potential vehicle fix and providing the estimate information to a communication network.

Abstract: A frequency transducer for monitoring frequency in a power line wherein a frequency representative signal is generated which is twice the frequency of the signal to be monitored in the power line, the frequency representative signal is shaped into a triggering output signal which is supplied as one input to a comparator in a comparator/timer circuit. A second input to the comparator is provided by a timing circuit which produces a reference signal as that second input, said reference signal having a constant non-zero duration, the magnitude of which is dependent upon the timing constant of a resistive-capacitive circuit; said resistive-capacitive circuit being charged by a constant charging current of high value to ensure that variances in the timing constant due to temperature, humidity, contamination and the like are small when considered as a percentage figure.