Methods and systems provide for fault diagnosis in a vehicular communication network. The methods and systems utilize a trained neural network model which is downloaded to a local computer associated with the vehicular communication network of a given vehicle and which applies inputs from the given vehicle to output maintenance recommendations for the given vehicle.

A module health system includes a module health circuit comprising a hardware register that is set to a first value in response to the system starting, an application register that is set to the first value in response to the system starting and a watchdog timer register that is set to the first value in response to the system starting. The system further includes a power on self-test that determines whether the system has passed a plurality of tests and that selectively sets the hardware register to a second value based on the determination, an external software application that determines whether a safety critical system is healthy and selectively sets the application register based on the determination, a watchdog timer application that selectively sets the watchdog timer register, a central processing unit that determines whether to de-assert a module health signal.

Methods and systems are provided for prioritizing a plurality of maintenance corrective actions in a troubleshooting chart for a device are provided. The method includes receiving, by a processor, an input from a user indicative of a successful corrective action from the plurality of corrective actions on the troubleshooting chart and incrementing a value of a counter associated with the successful corrective action. The processor then compares values for counters associated with each of the plurality of corrective actions and displays the plurality of corrective actions in hierarchal order based on the values of the counters.

A method begins by a processing module of a dispersed storage network (DSN) receiving a data object for storage in DSN memory and determining dispersed storage error encoding parameters for encoding the data object to produce a plurality of sets of encoded data slices. The method continues with the processing module determining to use a dual storage path approach for storing the plurality of sets of encoded data slices in first memory type of the DSN memory and in second memory type of the DSN memory. The method continues with the processing module dispersed storage error encoding the data object to produce the plurality of sets of encoded data slices and outputting the plurality of sets of encoded data slices to the first and second memory types of the DSN memory in accordance with the dispersed storage error encoding parameters.

A signal processing circuit has: n+1 (n being an integer of 2 or greater) operation circuits, each of which is configured to execute a prescribed operation process on inputted data; a signal supply unit that is configured to receive n pieces of input data extracted from one input signal and receive test data inputted separately from the n pieces of input data, sequentially select one operation circuit among the n+1 operation circuits and supply the test data to the one selected operation circuit, and supply the n pieces of input data to n operation circuits other than the one operation circuit among the n+1 operation circuits; and an anomaly determination unit that is configured to determine whether an anomaly has occurred in the one operation circuit on the basis of an operation result of an operation on the test data by the one operation circuit.

The disclosure provides a method and an apparatus for checking an automatic driving algorithm, a related device and a storage medium. The travelling data during a travelling process of the vehicle is obtained. The travelling data includes the environmental parameter and/or the state parameter of the vehicle. The travelling data is processed using an automatic driving algorithm to be checked to generate the prediction result. The reference result corresponding to the travelling data is obtained. The reliability of the automatic driving algorithm to be checked is determined based on the difference between the prediction result and the reference result.

A system and a method for identifying errors within a modular framework of a system comprising of a flight management system and an error reporting system. The modular components and correlating code modulars of the modular framework can be executed collectively or independently. Each modular component can be designed to incorporate independent modular updates or modifications.

The invention relates to a method for monitoring a component (12), in particular a battery, of a motor vehicle having a first control unit (14) for monitoring the component (12) and a second control unit (16) for monitoring the component (12), wherein the second control unit (16) is arranged at a distance from the first control unit (14) and communicates with the first control unit (14), wherein the second control unit (16) is connected to the component (12) via a line (20), in particular a hardware line, comprising the steps of transmitting operating data to the first control unit (14) by means of the second control unit (16), checking the operating data in the first control unit (14), transmitting data from the first control unit (14) to the second control unit (16), switching off the component (12) by means of the second control unit (16) if interference is detected by means of the first control unit (14) and/or the second control unit (16). The invention makes possible spatial separation of the control unit to be tested from the control unit carrying out the switching off, wherein the installation position of the control unit to be tested can be selected freely.

A device for monitoring diagnostic commands to a control unit. The device includes an execution platform, and a security device connected to the execution platform, with a command filter and state machines. The execution platform is configured to generate the diagnostic commands based on predefined scripts. The command filter is configured to select valid commands from among the diagnostic commands, based on conditions following from states of the state machines. The security device is configured to relay the commands to the control unit.

Method for monitoring an apparatus connected to a communication channel wherein the method is connected to a communication channel in a vehicle. When an interval of time between two messages that are output by the apparatus is shorter than or the same as a determined period, the method determines is the apparatus is in a correct state. The apparatus can output a monitoring sign-out message to the communication channel. When a message recently output by the apparatus includes the monitoring sign-out message, it is determined that the apparatus is in a correct state.