An architecture for monitoring at least one aircraft. The architecture comprises an avionics system configured to generate avionics data during use of the aircraft; a mobile electronic device including an analysis unit configured to convert at least one maintenance operation into operational data; and an alerter configured to display at least one item of monitoring information; and a cloud computing infrastructure. The analysis unit and the alerter are configured to implement a local operating mode and an operating mode connected to the cloud computing infrastructure.

A system (1) for the management of data pertaining to a wheel service comprises: a database (2) including, for each tyre of a plurality of tyres, a tyre identification code; at least one tyre measurement parameter representing a physical quantity linked to the tyre or to the use thereof, and a related time mark, which indicates the time the tyre measurement parameter was captured; a knowledge dataset (3) containing reference data; a processor (4) having access to the database (2) and to the knowledge dataset (3) and programmed to process the at least one tyre measurement parameter and the reference data and to generate derived data.

A system and method for performing service actions on a vehicle according to a ruleset. The ruleset classifies serviceable conditions of the vehicle according to rules defined within the ruleset. A diagnostic tool is utilized to perform the service actions and is configured to establish data communication with other diagnostic devices that the rules indicate may be required for a certified service action. After the completion of the service actions, certified repair results are generated indicating successful completion of the service action.

A method of using an adaptive fault diagnostic system for motor vehicles is provided. A diagnostic tool collects unlabeled data associated with a motor vehicle, and the unlabeled data is transmitted to a central computer. An initial diagnostic model and labeled training data associated with previously identified failure modes and known health conditions are transmitted to the central computer. The central computer executes a novelty detection technique to determine whether the unlabeled data is novelty data corresponding with a new failure mode or normal data corresponding with one of the previously identified failure modes or known health conditions. The central computer selects an informative sample from the novelty data. A repair technician inputs a label for the informative sample, and the central computer propagates the label from the informative sample to the associated novelty data. The central computer updates the labeled training data to include the labeled novelty data.

An apparatus and operational method are disclosed that use control hardware resident in a vehicle to enable a remote computing system to wirelessly communicate with the vehicle. The control hardware includes a processor configured to interface with a wireless network and the vehicle through, respectively, a wireless network interface and a vehicle interface. A plurality of CAN (control area network) bus transceivers may exist within the vehicle interface operable to allow the processor to interface with multiple vehicle types. The processor may then be configured to automatically detect an identifier for the vehicle though the vehicle interface and automatically select a CAN bus transceiver from the plurality of CAN bus transceivers based on the detected identifier. The processor can then communicate with the vehicle's CAN bus via the selected CAN bus transceiver.

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.

An information processing device mounted on a vehicle includes a processor configured to: send abnormality occurrence information to a predetermined server through a first communication unit when an occurrence of an abnormality is detected in the vehicle, the abnormality occurrence information indicating the occurrence of the abnormality, the first communication unit being mounted on the vehicle and configured to perform communication via a base station using a first communication method; and send a proxy sending request to a terminal around the vehicle through a second communication unit when communication with the predetermined server cannot be performed through the first communication unit, the proxy sending request being a request to send the abnormality occurrence information to the predetermined server in proxy mode, the second communication unit being mounted on the vehicle and configured to perform communication using a second communication method that allows for terminal-to-terminal direct communication.

Methods and systems of enabling a non-interfering mode in a telematics device are provided. In one aspect, a method includes receiving a co-presence policy from a telematics server, receiving asset data from the asset, determining a presence of a second device on the asset communications bus based on the co-presence policy, and activating a non-interfering mode of operation based on determining the presence of the second device and on the co-presence policy. The method may be used to prevent interference between a telematics device and a diagnostic tool connected to the same vehicle communications bus. Advantageously, tasks such as reading diagnostic trouble codes and firmware updates are not disrupted.

An automated vehicle diagnostic navigation system and method includes a diagnostic computer having a diagnostic application program operable to perform a diagnostic evaluation of a vehicle by performing a diagnostic scan of an electronic system of the vehicle, where the diagnostic application program includes a hierarchical structure for initiation of a diagnostic scan of the vehicle based on the make, model and year of the vehicle, and includes a diagnostic navigation program configured to interface with the diagnostic application program, with the diagnostic navigation program configured to receive an input of the make, model and year of the vehicle. The diagnostic navigation program is operable to provide automated sequential inputs to the diagnostic application program based on the make, model and year of the vehicle to navigate the hierarchical structure of the diagnostic application program to initiate and perform a diagnostic scan of the vehicle.

A vehicle diagnostic system includes: a vehicle diagnostic device including a communication unit that communicates with a vehicle which drives autonomously, and a diagnostic unit that performs, via the communication unit, diagnosis as to whether the vehicle is being hacked; and electrical apparatuses that communicate with the vehicle diagnostic device via a network. The diagnostic unit performs the diagnosis when an operational state of at least one electrical apparatus among the electrical apparatuses changes.