In one embodiment, a method includes receiving at a thermal modeling module, data from a Power Sourcing Equipment device (PSE) for cables extending from the PSE to Powered Devices (PDs), the cables configured to transmit power and data from the PSE to the PDs, calculating at the thermal modeling module, thermal characteristics for the cables based on the data, and identifying a thermal rise above a specified threshold at one of the cables. The data comprises real-time electrical data for the cables. An apparatus and logic are also disclosed herein.

In one embodiment, a method includes receiving at a thermal modeling module, data from a Power Sourcing Equipment device (PSE) for cables extending from the PSE to Powered Devices (PDs), the cables configured to transmit power and data from the PSE to the PDs, calculating at the thermal modeling module, thermal characteristics for the cables based on the data, and identifying a thermal rise above a specified threshold at one of the cables. The data comprises real-time electrical data for the cables. An apparatus and logic are also disclosed herein.

A method for performing predictive maintenance of an amplifier module is described. At least one parameter of at least one amplifier module is acquired via a measurement data acquisition unit. The at least one parameter acquired is analyzed via a measurement data analyzing unit so as to predict the probability and/or time of default of the at least one amplifier module. Further, a system is described.

A method for performing predictive maintenance of an amplifier module is described. At least one parameter of at least one amplifier module is acquired via a measurement data acquisition unit. The at least one parameter acquired is analyzed via a measurement data analyzing unit so as to predict the probability and/or time of default of the at least one amplifier module. Further, a system is described.

A high-voltage plug connection part for a high-voltage plug connector of a high-voltage electrical system of a motor vehicle, the high-voltage electrical system, and the motor vehicle are disclosed herein. The high-voltage plug connector can be coupled to at least one high-voltage line. The high-voltage plug connection part has at least one integrated temperature sensor which is designed to detect a sensor signal that characterizes the temperature of the at least one high-voltage line and provide the detected sensor signal to an analysis device in order to monitor the temperature of the at least one high-voltage line.

A high-voltage plug connection part for a high-voltage plug connector of a high-voltage electrical system of a motor vehicle, the high-voltage electrical system, and the motor vehicle are disclosed herein. The high-voltage plug connector can be coupled to at least one high-voltage line. The high-voltage plug connection part has at least one integrated temperature sensor which is designed to detect a sensor signal that characterizes the temperature of the at least one high-voltage line and provide the detected sensor signal to an analysis device in order to monitor the temperature of the at least one high-voltage line.

A method of operating a heating ventilation and air conditioning (HVAC) system of a structure, includes collecting first sensor data corresponding to a parameter of the HVAC system, collecting second sensor data that is different than the first sensor data, and generating clustered data by clustering the first sensor data and the second sensor data into a plurality of data clusters with a controller. The method also includes forming a transactional dataset based on at least the first sensor data, the second sensor data, and the clustered data with the controller, performing association rule mining (ARM) on the transactional dataset to generate a plurality of rules for each data cluster of the plurality of data clusters with the controller, and changing an operating characteristic of the HVAC system based on the plurality of rules with the controller to optimize the parameter.

A method of operating a heating ventilation and air conditioning (HVAC) system of a structure, includes collecting first sensor data corresponding to a parameter of the HVAC system, collecting second sensor data that is different than the first sensor data, and generating clustered data by clustering the first sensor data and the second sensor data into a plurality of data clusters with a controller. The method also includes forming a transactional dataset based on at least the first sensor data, the second sensor data, and the clustered data with the controller, performing association rule mining (ARM) on the transactional dataset to generate a plurality of rules for each data cluster of the plurality of data clusters with the controller, and changing an operating characteristic of the HVAC system based on the plurality of rules with the controller to optimize the parameter.

An indicator generating method for generating an indicator which is suitable for maintenance prediction of a water heating system is proposed. A power state indication device generates a high power consumption signal if a heating device of the water heating system is activated. The time duration of the activation is such an indicator, if no water flow is present. Furthermore, the time interval between subsequent activations is such an indicator. A predictive maintenance method processes these condition-based indicators and determines a remaining useful lifetime according to a predictive maintenance model. The predictive maintenance device outputs a maintenance signal indicating required maintenance, if the remaining useful lifetime drops below a predetermined threshold. The methods may be performed by water heating systems or beverage makers.

An indicator generating method for generating an indicator which is suitable for maintenance prediction of a water heating system is proposed. A power state indication device generates a high power consumption signal if a heating device of the water heating system is activated. The time duration of the activation is such an indicator, if no water flow is present. Furthermore, the time interval between subsequent activations is such an indicator. A predictive maintenance method processes these condition-based indicators and determines a remaining useful lifetime according to a predictive maintenance model. The predictive maintenance device outputs a maintenance signal indicating required maintenance, if the remaining useful lifetime drops below a predetermined threshold. The methods may be performed by water heating systems or beverage makers.