The present disclosure relates to a contactor and an operation method thereof. The contactor includes a contact, a control device, a wear indication and reset device, and a memory. The control device generates and stores wear diagnosis alarm information when the contactor is disconnected; generates a switch control signal based on the wear diagnosis alarm information when the contactor is powered on. A switch unit in the wear indication and reset device enters a wear indication state based on the switch control signal, and receives a user's operation to enter a reset state. The control device receives switch state information of the switch unit, and stores it when the contactor is disconnected. When the contactor is powered on, the control device clears the wear diagnosis alarm information based on the received switch state information being the reset state and the switch state information stored being the wear indication state.

The present disclosure relates to a recloser control that monitors compliance of a standard for distributed energy resources (DERs). For example, a method includes obtaining power system measurements between a microgrid and an area electronic power system (EPS). The method includes determining a rate of change of power (RoCoP) based on the power system measurements. The method includes determining that a DER exceeded a threshold of the area EPS based at least in part on the RoCoP. The method includes sending a signal indicating that the DER has violated the threshold.

Systems and methods for data collection for an industrial heating process are disclosed. The system according to one embodiment can include a plurality of data collectors, including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and wherein the plurality of data collectors is coupled to a plurality of input channels for acquiring collected data relating to the industrial heating process, and a data acquisition and analysis circuit for receiving the collected data via the plurality of input channels and structured to analyze the received collected data using a neural network to monitor a plurality of conditions relating to the industrial heating process.

A method for predicting end-of-life for a component includes determining a baseline lifetime model for a component connected to a machine functional safety system. The component is part of a system with physical devices. The method includes monitoring environmental conditions and usage conditions of the component and modifying the baseline lifetime model based on the monitored environmental and usage conditions to produce a modified lifetime model for the component. The method includes tracking a lifetime progress of the component with respect to the modified lifetime model and sending an alert in response to lifetime progress of the component reaching a lifetime threshold associated with the modified lifetime model.

A power system monitoring control system and method that retains a control table and, when a failure occurs, controls a target according to a type of the failure according to the control table in which the method includes: estimating a contingency point which is an occurrence point of the failure that is assumed in the power system based on prescribed disaster information; estimating an assumed disaster content which is a content of a disaster at each contingency point based on the disaster information and an estimation result of the contingency point; changing contingency data based on an estimation result of the assumed disaster content at each contingency point, contingency data including an occurrence site and an aspect of each of the failures that are assumed to occur, and a contingency change rule including a contingency data change rule; and updating the control table based on changed contingency data.

A method of adaptively controlling a brushless DC motor includes steps of: controlling the brushless DC motor rotating at a first speed according to an operation curve, accumulating a running time of the brushless DC motor, estimating a remaining used time of a bearing of the brushless DC motor according to the accumulated running time, executing an alarm operation when the remaining used time is less than a predetermined time, and decreasing the speed of the brushless DC motor to run at a second speed to prolong the used time of the bearing.

A device may include a memory storing instructions and a processor configured to execute the instructions to receive an instruction from an administration device; identify a link selector in the instruction that corresponds to a resource attribute of a first resource that specifies how a second resource is to be controlled by the first resource; query a database of contracts between resources to determine that the second resource is available to be controlled by the first resource, based on resource contracts associated with the second resource. The processor may be further configured to generate a resource contract between the first resource and the second resource that indicates the second resource is controlled by the first resource and enable the first resource to communicate with the second resource in accordance with the generated resource contract.

Described herein are systems, methods, and non-transitory computer-readable media for self-detection of a fault condition by a vehicle component, generation of a device health code that includes multiple tiers of information relating to the fault condition experienced by the vehicle component, and broadcasting of the device health code to one or more other vehicle components via one or more vehicle communication networks. A recommended vehicle response measure indicated by a reaction code in the device health code can then be taken or alternate vehicle response may be selected and initiated based on an evaluation of current vehicle operational data.

Systems for self-organizing data collection and storage in a refining environment are disclosed. An example system may include a swarm of mobile data collectors structured to interpret a plurality of sensor inputs from sensors in the refining environment, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of a plurality of refining system components disposed in the refining environment, and wherein the plurality of refining system components is structured to contribute, in part, to refining of a product. The self-organizing system organizes a swarm of mobile data collectors to collect data from the system components, and at least one of a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs.

Methods and systems for sensor fusion in a production line environment are disclosed. An example system for data collection in an industrial production environment may include an industrial production system comprising a plurality of components, and a plurality of sensors each operatively coupled to at least one of the components; a sensor communication circuit to interpret a plurality of sensor data values in response to a sensed parameter group; and a data analysis circuit to detect an operating condition of the industrial production system based at least in part on a portion of the sensor data values; and a response circuit to modify a production related operating parameter of the industrial production system in response to the detected operating condition.