The present invention includes: (a) a method for improving data to be processed for bottleneck detection, by cleaning corrupt or outlier data; (b) a method for improved analysis of bottleneck data using a plurality of rules for categorization; and (c) a method for improved display and/or allowing improved user feedback for bottleneck data using multivariate analysis and display. These methods can be used alone, or preferably be combined in whole or in part together to improve performance of an industrial process. A system is also provided.

A system for detecting faults of an electric machine is provided. The system includes an interface, a memory to store computer-implemented programs including a signal sampling program, a matrix formation program, an optimization formation program, a matrix pencil program, optimization solvers and lookup data including predetermined system parameters related to the faults, and a processer. The processor performs, using the computer-implemented programs, generating a signal matrix based on the acquired signals for the input time domain, forming an optimization problem with a low-rank constraint using the optimization formation program, demixing the signal matrix into a low-rank matrix, a spike interference matrix, and a Gaussian noise matrix by solving the optimization problem using one of the optimization solvers, extracting parameters of damped exponentials from the low-rank matrix using the matrix pencil program, and determining the faults with respect to the induction machine by identifying each of the measured system parameters of the induction machine based on the lookup data.

Systems and methods are provided for enhancing diagnosis of control logic by automatically triggering latent or quiescent diagnostic logic in response to a CAN bus signal and without requiring a software update of the control logic. The diagnostic logic may be triggered to provide an increase in the frequency of CAN messages that are generated. The diagnostic logic may be further triggered to provide a generation of additional CAN messages reporting operation signals beyond those that are normally generated. The diagnostic logic may be further triggered to provide higher priority to selected CAN messages reporting operation signals. The diagnostic logic may be still further triggered to one or more of increase the frequency of selected CAN report messages, generate additional CAN messages reporting operation signals beyond those that are normally generated, and/or provide higher priority to selected CAN messages reporting operation signals, each without requiring a software update.

This disclosure describes systems, methods, and devices related to vehicle security enhancement. For example, a vehicle may receive a plurality of data values from an onboard diagnostic system (OBD) of a vehicle, wherein a first data value is received from a first sensor of the vehicle and a second data value is received from a second sensor of the vehicle. The vehicle may determine a third data value received from a controller area network (CAN) bus of the vehicle. The vehicle may determine the third data value is associated with a false message originating from a device external to the vehicle based on performing a correlation analysis between the first value, the second value and the third value. The vehicle may discard the third data value based on the correlation analysis.

A multi-module fiber laser capable of monitoring abnormalities of optical modules in real time. In the multi-module fiber laser, the CAN bus is employed to directly obtain whether each of the slave control modules or the master control module is in normal working condition, so that the CAN bus is at the status level corresponding to whether all modules are in normal working state, namely, the CAN bus that is configured to transmit the light control signal issued by the master control module. The status level of the slave control module or the combiner module is also transmitted via the CAN bus, so that all the slave control modules can quickly put themselves in the corresponding working state according to the status level of the CAN bus.

The present invention includes: (a) a method for improving data to be processed for bottleneck detection, by cleaning corrupt or outlier data; (b) a method for improved analysis of bottleneck data using a plurality of rules for categorization; and (c) a method for improved display and/or allowing improved user feedback for bottleneck data using multivariate analysis and display. These methods can be used alone, or preferably be combined in whole or in part together to improve performance of an industrial process. A system is also provided.

An interventional control method based on a computer control system. An interventional control system is designed on the basis of an original computer control system; the analog-to-digital conversion unit of the interventional control system receives a signal from the data acquisition module of the original computer control system and said signal is processed by a control processing unit according to a built-in program; then a digital-to-analog conversion unit performs digital-to-analog conversion on the signal output by the control processing unit and then outputs a signal obtained after the digital-to-analog conversion to the analog-to-digital conversion unit of the original computer control system. According to the interventional computer control system, on the basis of an original computer control system, the analog-to-digital conversion unit of the interventional control system receives a signal output from the data acquisition module of the original computer control system and control processing is performed on said output signal; then the digital-to-analog conversion unit of the interventional control system outputs a signal to the analog-to-digital conversion unit of the original computer control system. The function upgrade of an original computer control system is implemented without changing the operating program of the original computer control system.

An information storage system and apparatus relate to the field of automatic control technologies in order to resolve a problem that there is little information for diagnosing a fault that is stored using a freeze frame. The system includes at least one subcontroller configured to obtain a parameter value corresponding to a parameter, and send the parameter and the parameter value corresponding to the parameter to a management controller, the management controller configured to send the received parameter and the received parameter value corresponding to the parameter to a vehicle-intelligent device, and the vehicle-intelligent device is configured to receive and store the parameter and the parameter value corresponding to the parameter, where each subcontroller is coupled to at least one executor, and the management controller is coupled to each subcontroller of the at least one subcontroller.

Embodiments of the present invention relate to the technical field of automobile diagnosis, and disclose an automobile trouble diagnosis method, an automobile trouble diagnosis apparatus, and an electronic device. The method includes: obtaining at least two diagnostic trouble codes (DTC); ranking the at least two DTCs according to a first priority of a system to which each of the at least two DTCs belongs and a second priority of each of the DTCs in the system to obtain a first ranking result; and outputting the first ranking result. In the embodiments of the present invention, a plurality of DTCs of a vehicle may be intelligently ranked to determine an order for diagnosing the plurality of DTCs. During the diagnosis, the plurality of DTCs may be sequentially resolved according to a ranking result, greatly improving diagnosis efficiency, thereby reducing diagnosis costs.

An automation network includes a plurality of data processing devices that are connected to one another for data communication. At least one data processing device in a first state, from the plurality of data processing devices, is preconfigured such that it generates corresponding messages upon identifying one or more security-relevant events. The messages are transmitted to at least one first software tool configured to record and evaluate the messages to determine whether there is a security-relevant attack on the automation network. The messages are transmitted to a second software tool configured to record and evaluate the messages and to determine whether the corresponding messages are generated by the at least one data processing device.