A system for diagnosing an additive manufacturing device is provided. The system includes a first module configured to: obtain one or more parameters for a digital twin of a component of the additive manufacturing device based on raw data from the component of the additive manufacturing device; and generate physics features for the digital twin of the component of the additive manufacturing device based on the one or more parameters and one or more transfer functions, a second module configured to obtain one or more classifiers for classifying the component as a first condition or a second condition based on physics features; and a third module configured to: determine a health of the component based on the generated physics features of the first model and the one or more classifiers.

A data transmission system and method for an engine of an aircraft. Engine fault data indicative of at least one fault condition of the engine is obtained at a computing device provided on-board the aircraft. Sensor data associated with the at least one fault condition is retrieved based on the engine fault data. The engine fault data and the sensor data are transmitted, through a wireless connection, to an electronic device external to the aircraft.

A management domain unit is connected, via an independent virtual network (95) using a hypervisor unit, to a separate management domain unit (B) (10B) of a separate electronic control unit ECU (B) (1) having the separate management domain unit (B) (10B) and a separate basic domain unit (A) (50B) which substitutes for a basic domain unit. When an abnormality of the basic domain unit is detected, the management domain unit halts operation of the basic domain unit, and causes the separate management domain unit (B) (10B) possessed by the separate electronic control unit ECU (B) (1) to start operation of the separate basic domain unit (A) (50B).

Systems and methods are disclosed herein for an infrastructure monitoring system. The infrastructure monitoring system may include an operations center; a monitoring device, the monitoring device may be coupled to a component of the infrastructure, include at least one sensor sensing at least one condition within the infrastructure, a data storage device storing data sensed by the at least one sensor, a transceiver device adapted to transmit and receive data, and a processor communicatively coupled to the at least one sensor, the data storage device, and the transceiver device, the processor may be configured to receive the data sensed by the at least one sensor, determine, based on the data sensed by the at least one sensor, if there is a problem with the at least one condition within the infrastructure that the at least one sensor sensed, upon determining that there is a problem with the at least one condition within the infrastructure that the at least one sensor sensed, transmitting a message to the operations center via the transceiver device, and periodically compiling sensing data stored in the data storage device and transmitting the compiled sensing data to the operations center via the transceiver device; and a control device, the control device may be communicatively coupled to at least one of the operations center and the monitoring device, and the control device may be configured to operate at least one output device when signaled by at least one of the operations center and the monitoring device, and the control device may be positioned within a fire hydrant.

A method includes automatically assigning, by at least one processor, an IEC address to an I/O binding variable for an RTU. This includes identifying a type of the I/O binding variable and identifying a size of the I/O binding variable based on the identified type. The size represents a number of memory locations to be used to store the I/O binding variable in at least one memory of the RTU. This also includes, in response to determining that the at least one memory contains a free space to store the I/O binding variable based on the identified size, assigning the IEC address identifying the free space to the I/O binding variable.

A method for performing technical diagnostics of machines is carried our by means of a diagnostic system of machines that employs at least two sensors to be placed on the machines, wherein the sensors are selected from the group of vibration sensors, strain sensors, position sensors, and distance sensors, and wherein measured data is evaluated by an evaluation process comprising a step of pairing the measured data and a step of comparing processed data with model states.

A system for diagnosing an additive manufacturing device is provided. The system includes a first module configured to: obtain one or more parameters for a digital twin of a component of the additive manufacturing device based on raw data from the component of the additive manufacturing device; and generate physics features for the digital twin of the component of the additive manufacturing device based on the one or more parameters and one or more transfer functions, a second module configured to obtain one or more classifiers for classifying the component as a first condition or a second condition based on physics features; and a third module configured to: determine a health of the component based on the generated physics features of the first model and the one or more classifiers.

Various embodiments described herein relate to remote monitoring and management of assets from a portfolio of assets. In this regard, a request to generate a dashboard visualization associated with a portfolio of assets is received. The request includes an asset descriptor that describes one or more assets in the portfolio of assets. In response to the request, aggregated data associated with the portfolio of assets is obtained based on the asset descriptor. Contextual data is determined for the portfolio of assets based on attributes for the aggregated data. Based on the contextual data, prioritized actions for the portfolio of assets are determined. Furthermore, the dashboard visualization is provided to an electronic interface of a computing device, the dashboard visualization comprising the prioritized actions for the portfolio of assets. In certain embodiments, the dashboard visualization is configured to provide remote control of at least one asset based on the prioritized actions.

Approaches are provided for storing in a memory device a work plan and a case data structure associated with an industrial machine or system. The case data structure includes an impact field with an impact value, and an urgency field with an urgency value. A processor transmits via an output a case report to a plurality of local computing devices at a remote location. The case report is indicative of one or more characteristics of a case. The processor is further configured to receive via an input a plurality of transmissions from the plurality of local computing devices. Each of the transmissions are indicative of an assessed impact and an assessed urgency.

A computer system includes a control device for controlling an industrial technical process, a logic unit and a memory device. The control device controls the industrial technical process in an operating cycle. It temporarily stores process data in the memory device when controlling the industrial technical process in an operating cycle. The logic unit accepts a request for the process data from an external computer outside of the computer system via an interface to a computer network. The logic unit transfers the process data stored in the memory device to the external computer in accordance with the request in an event of the request fulfilling an access condition. Otherwise, the logic unit preprocesses the process data stored in the memory device, so that the preprocessed process data have a reduced information content by a comparison with the stored process data.