An integrated vehicle health management (IVHM) system to resolve equipment-fault related anomalies detected by cyber intrusion detection system (IDS). A benefit of the present system is that it can result in fewer alerts that need manual analysis. A combination of cyber and monitoring with integrated vehicle health management (IVHM) may be a high value differentiator. As a solution gets more mature through a learning loop, it may be customized for different customers in a cost-effective manner, something that might be expensive to develop on their own for most original equipment manufacturers (OEMs). An IVHM symptom pattern recognition matrix may link a pattern of reported symptoms to known equipment failures. This matrix may be initialized from the vehicle design data but its entries may get updated by a learning loop that improves a correlation by incorporating results of investigations.

A system model creating and simulation device for a process control system obtains description files of process modules including inputs, outputs and process control devices therebetween, where each description file specifies, for the corresponding module, connection terminals in the form of inputs and outputs, the process control devices and the interconnection of process control devices between the connection terminals, analyses of the description files, having determining a connection terminal of a first process module matching a connection terminal of a second process module, determines connections between the process modules based on the analysis, having determining a connection between the matching connection terminals, selecting simulation objects corresponding to the process control devices of the process modules, interconnecting the simulation objects according to data in the description files as well as through the connections determined between the process modules for forming a simulation model, and performing simulations in the simulation model.

Systems and methods for automatic feedback control are provided. According to one embodiment of the disclosure, a method for automatic feedback control may commence with receiving high-level control references by a low-level controller communicatively coupled to a high-level controller via the network connection. The method may further include generating, by the low-level controller, low-level control references for a hardware asset based at least in part on the high-level control references. The method may continue with transferring control of the hardware asset to the low-level controller in response to a loss of the network connection. The method may further include adjusting the low-level control references by a low-level control mechanism associated with the low-level controller in response to the loss of the network connection.

The invention relates to a method and apparatus for monitoring the condition of subsystems within a renewable generation plant or microgrid which are using Supervisory Control and Data Acquisition (SCADA) systems for allowing plant operators to monitor and interact with a plant via human machine interfaces.

A method of providing diagnostics communication in a diagnostics electrical architecture of a vehicle, the vehicle comprising a plurality of on-board computing devices for hosting the diagnostics electrical architecture. The diagnostics electrical architecture comprises: one or more electronic control units each comprising a diagnostics server module; a service interface module arranged to allow diagnostic communication between the one or more electronic control units and a network service bus of the vehicle; and a diagnostic services registry module. The method comprising: performing, by the diagnostics server module, diagnostic tasks to generate diagnostic object data; receiving into the service interface module the generated diagnostic object data; retrieving diagnostic services data from the diagnostic service registry module, the diagnostic services data comprising diagnostic capability descriptions of the generated diagnostic object data; and transmitting a diagnostic service notification over the network service bus, the diagnostic service notification being based on the generated diagnostic object data and the diagnostic services data.

Systems and methods of generating performance index for connected equipment in a building management system are provided. The connected equipment measures monitored variables and generates status codes. The system obtains data points of the monitored variables and the status codes from past N time units, and connected equipment specific parameters. The system performs first performance checks for the connected equipment using the status codes from the past N time units. The system performs second performance checks using the data points of the monitored variables from the past N time units, the connected equipment specific parameters, and a set of predetermined rules. The system determines individual performance check indicators based on the first performance checks and the second performance checks using first weights each determined based on a different timing. The system generates an overall performance index for the connected equipment using the individual performance check indicators and second weights.

The embodiments of the present disclosure disclose an intelligent manufacturing Industrial Internet of Things based on a platform network in a post-sub type and control methods thereof. The Industrial Internet of Things includes a management platform, which includes a plurality of management sub-platforms and a general platform database, wherein each of the management sub-platforms performs production calculation based on first operation data to generate first calculation result data, and sends the first calculation result data to the general platform database; and the general platform database performs the production calculation based on second operation data to generate second calculation result data, and generates adjustment parameters of production devices according to the second calculation result data and the first calculation result data.

Systems and methods are provided for dynamically grouping data analysis content derived from a plurality of sensors. In one embodiment, a plurality of sensors can be disposed on a plurality of machine trains or one or more machines within the plurality of machine trains configured in an industrial environment. A communication circuit can be operatively coupled to the plurality of sensors and configured to communicate data measured by the plurality of sensors, and a dynamic graphical user interface (GUI) can be provided on a touchscreen display and can be configured to dynamically generate one or more visualizations of the measured data. A processor can be configured to receive the measured data via the communication circuit, to generate a plurality of measurements based on the measured data, and to operatively control the dynamic GUI in response to a grouping mode selection.

The present invention provides a method for operating dual controller which monitors the state of a dual controller to determine whether the dual controller is faulty and enables operation thereof with a controller in a normal state. An operation method of a dual controller according to the present invention dq-converts control command output values of first and second controllers to calculate rates of change in dq conversion values and dq-converts feedback input values, fed back to the first and second controllers, to calculate average rates of change in dq conversion values. When the average rates of change in the dq conversion values for the control command output values and the average rates of change in the dq conversion values for the feedback input values for the respective first and second controllers are identical, the corresponding controller is determined to be in a normal state, and to be in a faulty state otherwise. According to the results of the determination, the controller in the faulty state is set to a standby state and the controller in the normal state is set to an active state.

An integrated vehicle health management (IVHM) system to resolve equipment-fault related anomalies detected by cyber intrusion detection system (IDS). A benefit of the present system is that it can result in fewer alerts that need manual analysis. A combination of cyber and monitoring with integrated vehicle health management (IVHM) may be a high value differentiator. As a solution gets more mature through a learning loop, it may be customized for different customers in a cost-effective manner, something that might be expensive to develop on their own for most original equipment manufacturers (OEMs). An IVHM symptom pattern recognition matrix may link a pattern of reported symptoms to known equipment failures. This matrix may be initialized from the vehicle design data but its entries may get updated by a learning loop that improves a correlation by incorporating results of investigations.