Abstract: A method performed by a first computing system includes receiving, from a second computing system, a message identifying a symptom of a first vehicle; and sending a repair tip to the second computing system. The repair tip includes a first phrase describing a first procedure performed on a second vehicle that exhibited the symptom, wherein the first procedure performed on the second vehicle yielded a result insufficient to determine that a component of the second vehicle associated with the symptom is defective. The repair tip also includes a second phrase describing a second procedure performed on a given vehicle, wherein the given vehicle is either (i) the second vehicle or (ii) a third vehicle that also exhibited the symptom, wherein the second procedure performed on the given vehicle yielded a result sufficient to determine that a component of the given vehicle associated with the symptom is defective.

Abstract: Methods and systems for using natural language processing and machine-learning algorithms to process vehicle-service data to generate metadata regarding the vehicle-service data are described herein. A processor can discover vehicle-service data that can be clustered together based on the vehicle-service data having common characteristics. The clustered vehicle-service data can be classified (e.g., categorized) into any one of a plurality of categories. One of the categories can be for clustered vehicle-service data that is tip-worthy (e.g., determined to include data worthy of generating vehicle-service content (e.g., a repair hint). Another category can track instances of vehicle-service data that are considered to be common to an instance of vehicle-service data classified into the tip-worthy category. The vehicle-service data can be collected from repair orders from a plurality of repair shops. The vehicle-service content generated by the systems can be provided to those or other repair shops.

Abstract: Systems and methods for augmenting measurements with automotive repair information are described herein. A method may include a server storing a plurality of service scenarios defined for at least one display device. Each stored service scenario includes at least one setup instruction, and each setup instruction is based on at least one capability of at least one CVST. The method may further include the server receiving data indicating an operating condition of a vehicle from a first display device of the at least one display device. Based on the stored plurality of service scenarios and the received data, the server may determine that a first stored service scenario of the plurality of service scenarios matches the operating condition. The server may then determine a first CVST having a first capability that is associated with the first display device, and transmitting the first stored service scenario to the first display device.

Abstract: An example method includes receiving a first service procedure including a plurality of procedural steps for servicing a vehicle, identifying at least one procedural step of the plurality of procedural steps to supplement with supplemental service information, receiving information about vehicles sharing one or more attributes with the vehicle, determining at least one piece of supplemental service information to supplement the at least one identified procedural step, and providing a supplemented service procedure comprising the first service procedure with the at least one piece of supplemental service information included with the at least one identified procedural step.

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: A method performed by a first computing system includes receiving, from a second computing system, a message identifying a symptom of a first vehicle; and sending a repair tip to the second computing system. The repair tip includes a first phrase describing a first procedure performed on a second vehicle that exhibited the symptom, wherein the first procedure performed on the second vehicle yielded a result insufficient to determine that a component of the second vehicle associated with the symptom is defective. The repair tip also includes a second phrase describing a second procedure performed on a given vehicle, wherein the given vehicle is either (i) the second vehicle or (ii) a third vehicle that also exhibited the symptom, wherein the second procedure performed on the given vehicle yielded a result sufficient to determine that a component of the given vehicle associated with the symptom is defective.

Abstract: A diagnostic tool includes a processor, display, and memory storing instructions to perform scan tool functions (STF) including transmitting a message to a vehicle. The STF include first STF for a first system of the vehicle. Additional stored instructions are executable to display a first user-interface screen (UIS) including a first user-selectable control (USC) including an indicator of a first scanner job performable on the vehicle, and to display a second UIS instead of the first UIS in response to a selection of the first USC. The second UIS incudes: a second USC including an indicator of the first STF for the first system of the vehicle, and guidance for performing a procedure of the first scanner job. The stored instructions are executable to transmit a first vehicle data message to a component of the first system in response to a selection of the second USC.

Abstract: A method for performing test set. After determining the test set and a vehicle identifier, a processor of a computing system determines: (1) a component test (CT) and a functional test command (FTC), (2) the CT and a first set of parameter identifiers (PIDs), or (3) the FTC and a second set of PIDs. The CT corresponds to a particular vehicle component. The FTC is for requesting control of a controllable vehicle component. If the CT is determined, a test device is configured to be in a mode to perform the CT. If the FTC is determined, a GUI including a user-selectable control corresponding to the FTC is displayed. If the first or second set of PIDs is determined, a set of parameter values corresponding to the determined set of PIDs is received and displayed in response to vehicle data messages transmitted by the computing system.

Abstract: A method comprising determining a functional test and one or more parameter identifiers (PIDs) corresponding to the functional test. The method also includes transmitting first and second sets of vehicle data messages to a vehicle. The first set of vehicle data messages includes a first vehicle data message to request performance of the functional test and the second set of vehicle data messages includes vehicle data messages including the one or more PIDs. Additionally, the method includes receiving, from the vehicle, a third set of vehicle data message including parameter values corresponding to the one or more PIDs. Furthermore, the method includes outputting, by the processor on a display, a first graphical user interface including a user-selectable control corresponding to performance of the functional test, a textual description corresponding to each of the one or more PIDs and parameter values corresponding to the one or more PIDs.

Abstract: Methods and systems for using natural language processing and machine-learning algorithms to process vehicle-service data to generate metadata regarding the vehicle-service data are described herein. A processor can discover vehicle-service data that can be clustered together based on the vehicle-service data having common characteristics. The clustered vehicle-service data can be classified (e.g., categorized) into any one of a plurality of categories. One of the categories can be for clustered vehicle-service data that is tip-worthy (e.g., determined to include data worthy of generating vehicle-service content (e.g., a repair hint). Another category can track instances of vehicle-service data that are considered to be common to an instance of vehicle-service data classified into the tip-worthy category. The vehicle-service data can be collected from repair orders from a plurality of repair shops. The vehicle-service content generated by the systems can be provided to those or other repair shops.

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 receiving, at a computing system, a first user input from a user interface during operation of a vehicle and responsive to receiving the first user input, determining a time of reception for the first user input. The method further includes receiving a first set of parameters from the vehicle that correspond to a first parameter identifier (PID). The method also includes determining a time of reception for each parameter, and based on the time of reception for the first user input and the time of reception for each parameter of the first set of parameters, determining a temporal position for an indicator configured to represent the first user input on a graph of the parameters corresponding to the first PID. The method further includes displaying, on a display interface, the graph of the parameters corresponding to the first PID with the indicator in the determined temporal position.

Abstract: A method includes a computer operating in a first state in which a parameter-identifier condition indicator is not displayed. The computer determines a vehicle identifier corresponding to a vehicle. The vehicle includes a component corresponding to a component identifier and system corresponding to a system identifier, and can exhibit a symptom corresponding to a symptom identifier. The computer determines the component identifier, system identifier, and/or symptom identifier, and a corresponding PID topic. The computer switches to a second state. The method includes determining, a parameter-identifier topic corresponding to parameter-identifier(s).

Abstract: A diagnostic tool includes a processor, display, and memory storing instructions to perform scan tool functions (STF) including transmitting a message to a vehicle. The STF include first STF for a first system of the vehicle. Additional stored instructions are executable to display a first user-interface screen (UIS) including a first user-selectable control (USC) including an indicator of a first scanner job performable on the vehicle, and to display a second UIS instead of the first UIS in response to a selection of the first USC. The second UIS incudes: a second USC including an indicator of the first STF for the first system of the vehicle, and guidance for performing a procedure of the first scanner job. The stored instructions are executable to transmit a first vehicle data message to a component of the first system in response to a selection of the second USC.

Abstract: Methods and systems for displaying information sets in determined orders are described. The information sets comprise vehicle service information. An order of information set identifiers associated with the information sets is based on vehicle identifying information of a subset of vehicles, and an additional search term comprising a symptom identifier and/or a vehicle component identifier of a component located on the vehicles. The information set identifiers of the group can be arranged according to a hierarchy of information set identifiers. The information sets are output to a vehicle service tool (VST) that displays the information sets. The VST can provide feedback data indicative of whether any aspect of an information set was selected while displayed. A server can aggregate feedback data received from multiple instances of displaying the information sets and determine a modified order for at least some of the information set identifiers of the previously determined group.

Abstract: A method includes determining a test drive script (TDS) to perform while a tool monitors an electronic system in a mobile machine during a test drive of the mobile machine. The TDS includes an ordered sequence of drive cycle procedures (DCPs). The ordered sequence of DCPs begins with an initial DCP and ends with a final DCP. Each DCP is indicative of a respective mobile machine state. The TDS includes a first particular DCP associated with both a first particular mobile machine state and a first condition pertaining to the first particular mobile machine state. The method also includes outputting a representation of at least a portion of the TDS. Additionally, the method includes determining and outputting one or more of: status information corresponding to achieving the first particular mobile machine state or status information corresponding to achieving the first condition pertaining to the first particular mobile machine state.

Abstract: A processor may determine that a particular computer-readable vehicle repair order (RO) (e.g., including first and second RO portions) corresponds to an existing cluster of ROs due to the particular RO including RO data that refers to a particular vehicle symptom. The processor may determine that the first RO portion includes first data representative of a non-specific vehicle component and may then responsively also determine that the second RO portion includes second data that the at least one processor can use to determine a specific vehicle component associated with the particular RO. Responsively, the processor may determine the specific vehicle component based on the first and second data and may then add the particular RO to a different cluster of ROs that is arranged to contain ROs that correspond to the particular vehicle symptom and to the specific vehicle component.

Abstract: Methods and apparatus are provided for repairing vehicles. A computing device having first and second software executables can determine vehicle identification information (VII) that identifies a vehicle. The computing device can store first and second vehicle identifiers that are based on the VII and are respectively associated with the first and second software executables, where the first vehicle identifier differs from the second vehicle identifier. The computing device can be used to repair the vehicle by at least: receiving a request to activate the first software executable, and activating the first software executable at least by providing the stored first vehicle identifier to the first software executable.

Abstract: An example method involves receiving, at a computing system, vehicle diagnostic information from a vehicle. The vehicle diagnostic information may include one or more sets of parameters corresponding to parameter identifiers (PIDs). The method further involves identifying a first set of parameters corresponding to a PID representing a state of a particular system of the vehicle and determining, using the first set of parameters, a current value of the PID. The method may also involve performing a comparison between the current value and a predetermined value for the PID and determining a health of the particular system of the vehicle such that the health reflects a difference between the current value and the predetermined value for the PID. The method may also involve displaying, by the computing system at a graphical interface, a vehicle health record representing the health of the particular system of the vehicle.

Abstract: A processor may determine that a particular computer-readable vehicle repair order (RO) (e.g., including first and second RO portions) corresponds to an existing cluster of ROs due to the particular RO including RO data that refers to a particular vehicle symptom. The processor may determine that the first RO portion includes first data representative of a non-specific vehicle component and may then responsively also determine that the second RO portion includes second data that the at least one processor can use to determine a specific vehicle component associated with the particular RO. Responsively, the processor may determine the specific vehicle component based on the first and second data and may then add the particular RO to a different cluster of ROs that is arranged to contain ROs that correspond to the particular vehicle symptom and to the specific vehicle component.