Abstract: A method for determining oscillations occurring in a measuring signal. The method includes the steps of receiving a measuring signal, determining the extreme values of the received measuring signal, and ascertaining closed loops of the measuring signal, by a) identifying a closed loop in the measuring signal (a closed loop being formed by two half loops having identical oscillation width and opposite direction, b) storing the identified closed loop, c) removing the identified closed loop from the measuring signal, and d) repeating steps a) through c) until all closed loops have been ascertained.

Abstract: 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.

Abstract: 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.

Abstract: A method for determining oscillations occurring in a measuring signal. The method includes the steps of receiving a measuring signal, determining the extreme values of the received measuring signal, and ascertaining closed loops of the measuring signal, by a) identifying a closed loop in the measuring signal (a closed loop being formed by two half loops having identical oscillation width and opposite direction, b) storing the identified closed loop, c) removing the identified closed loop from the measuring signal, and d) repeating steps a) through c) until all closed loops have been ascertained.