Provided is a household appliance including a user interface with a visible indicator that conveys primary operational information indicative of an operational aspect of the household appliance to a user during normal operation of the household appliance, and a controller. The controller receives a signal indicative of diagnostics data of the household appliance and causes the visible indicator to transmit a communication signal to an external device that interprets the communication signal and communicates the diagnostics data to the user. The visible indicator provides a two-way communication between the household appliance and the external device. A method for diagnosing a household appliance is also provided.

Provided is an embodiment for a method for performing prognostics and health monitoring. The method includes detecting operational usage data for a line replaceable unit (LRU), and aggregating the operational usage data with previous operational usage data during a period of time. The method also includes determining a total value for the aggregated operational usage data for the period of time, and generating a histogram to track the operational usage data, wherein the histogram comprises a plurality of buckets, each bucket corresponding to a range of values for the operational usage data. The method includes responsive to expiration of the period of time, adding a count to a bucket of the plurality of buckets corresponding to the total value for the aggregated operational data for the period of time. Also provided is an embodiment for a system for performing prognostics and health monitoring.

A system for monitoring at least one HVAC system includes at least one remotely accessible server, at least one probe or sensor operatively connected to the at least one HVAC system and configured to acquire operational data, and a communication module operatively connected to the at least one probe or sensor and configured to transmit the operational data acquired to the at least one remotely accessible server. The remotely accessibly server includes a processor and a memory unit and is programmed to receive and store operational data acquired for the HVAC system, and identify any operational abnormalities by analysing the operational data. Responsive to an operational abnormality being identified, the server is further programmed to designate a tiered maintenance status for the HVAC system and transmit a corresponding tiered maintenance request to a technician based on the tiered maintenance status designated.

A method and apparatus for generating an interactive interface on a display of an aircraft comprising: determining that an aircraft system has a faulty condition, the aircraft system comprising a plurality of system functions, the system functions being independently 5 actuatable, the determining comprising: generating an indication of which one of the system functions is associated with the faulty condition; generating the interactive interface, the interactive interface comprising a visual representation of a control panel, the control panel comprising a plurality of actuatable switches, each one of the actuatable switches being associated with a corresponding one of the system functions, the generating comprising: 0 determining, based on the indication, which one of the actuatable switches is to be associated with a visual faulty status, and displaying, on the display, the interactive interface comprising the visual faulty status.

Equipment in a production facility is managed with use of information from the equipment and information from a sensor for measurement of a state of the equipment, while achieving a high degree of freedom in increasing and decreasing the number of such sensors.

The present invention is provided with a gateway (10) and a server (20). The gateway is connected to a controller included in each piece of equipment and connected, without being intermediated by the controller, to an externally attached sensor accompanying the each piece of equipment. The server is connected to the gateway. The gateway carries out the processes of: receiving, from each controller, information indicative of an internal state of the piece of equipment; receiving, from each sensor, information indicative of an external state of the piece of equipment; and transmitting these pieces of information to the server. The server carries out a process of combining and outputting the information indicative of the internal state and the information indicative of the external state received from the gateway.

A server rack predictive maintenance method comprises: an information collecting step of measuring and collecting the value of power consumed by a main wire for supplying power to a fan and pieces of equipment in a normal operating state of a server rack in which the internal temperature and humidity are maintained to be constant through the fan; an alarm setting step of setting the average current value of the server rack on the basis of the value of power collected in the information collecting step, and setting the alarm current value to be smaller than the set average current value; and a detecting step of detecting the server rack as an abnormal state when the value of power consumed by the main wire, having been measured in a real-time operating state of the server rack, is formed less than the alarm current value.

A control unit obtains a respective first state of a first operation parameter of each drive unit of a rotary milking parlor in a first mode of operation, and a second state of the first operation parameter during operation of the rotating platform in a second mode of operation. For each drive unit, the control unit compares the first and second states of the first operation parameter with one another and when, for one or more detected drive units, a difference between the first and second states does not exceed a threshold level, the control unit generates a first alarm with respect to the one or more detected drive units.

Provided is a household appliance including a user interface with a visible indicator that conveys primary operational information indicative of an operational aspect of the household appliance to a user during normal operation of the household appliance, and a controller. The controller receives a signal indicative of diagnostics data of the household appliance and causes the visible indicator to transmit a communication signal to an external device that interprets the communication signal and communicates the diagnostics data to the user. The visible indicator provides a two-way communication between the household appliance and the external device. A method for diagnosing a household appliance is also provided.

Examples of techniques for monitoring a component used in well operation are disclosed. In one example implementation according to aspects of the present disclosure, a method may include: receiving, by a processing system, sensor data from a sensor, wherein the sensor collects data relating to a component used in the well operation; analyzing, by the processing system, the sensor data to determine whether the component used in the well operation is experiencing an error condition; and alerting, by the processing system, a user of the error condition when it is determined that the component used in the well operation is experiencing an error condition.

A method and system for detecting and characterizing weak signals of risk exposure in an industrial system based on industrial system data collected over a given time period. The system is configured for implementing: a module (36) for computing a risk predictive signature, from collected data relating to the industrial system, using a first term obtained by summing elementary signatures associated with elementary initiating events, dependent on parameters comprising a severity value, a characteristic function and a weighting function of the elementary initiating event, at least a part of said parameters being determined by using a neural network, a module (38) for detecting the presence of a weak signal of risk exposure by comparing the computed risk predictive signature with predetermined reference risk signatures.