A system for monitoring cutting devices in a packaging production line having a line for supplying a material to be cut, an area of a predetermined type of cutting device, and a packaging output line is provided. The system includes means for counting cutting actions of the cutting device, configured to provide a time series of cutting action counting data, a video camera to frame an area of the output line, the video camera configured to provide video data of packaging elements in the output line, first code means, configured to run, on a computer, a first algorithm for recognizing cutting defects starting from video data, the first algorithm providing defect recognition data, and second code means, configured to run, on the computer, a trained expert algorithm to predict cutting performance degradation based on historical defect recognition data, time series of cutting action counting data, and type of cutting device.

An electronics for active cancellation of a pulsating flow with a flow signal noise reference. The electronics includes a signal processor configured to receive a flow signal from a flow sensor that is configured to measure a flow rate of the pulsating flow, generate a flow rate signal and a noise reference signal from the flow signal, and generate a cancelling signal from the noise reference signal. The electronics also includes a controller coupled to the signal processor and configured to determine a flow rate control signal. The electronics includes a signal generator communicatively coupled to the signal processor and the controller and configured to receive the flow rate control signal, generate a valve signal based on the flow rate control signal and the cancelling signal, and provide the valve signal to a valve to control flow rate and attenuate pulses of the pulsating flow of the fluid.

A system for monitoring cutting devices in a packaging production line having a line for supplying a material to be cut, an area of a predetermined type of cutting device, and a packaging output line is provided. The system includes means for counting cutting actions of the cutting device, configured to provide a time series of cutting action counting data, a video camera to frame an area of the output line, the video camera configured to provide video data of packaging elements in the output line, first code means, configured to run, on a computer, a first algorithm for recognizing cutting defects starting from video data, the first algorithm providing defect recognition data, and second code means, configured to run, on the computer, a trained expert algorithm to predict cutting performance degradation based on historical defect recognition data, time series of cutting action counting data, and type of cutting device.

An electronics for active cancellation of a pulsating flow with a flow signal noise reference. The electronics includes a signal processor configured to receive a flow signal from a flow sensor that is configured to measure a flow rate of the pulsating flow, generate a flow rate signal and a noise reference signal from the flow signal, and generate a cancelling signal from the noise reference signal. The electronics also includes a controller coupled to the signal processor and configured to determine a flow rate control signal. The electronics includes a signal generator communicatively coupled to the signal processor and the controller and configured to receive the flow rate control signal, generate a valve signal based on the flow rate control signal and the cancelling signal, and provide the valve signal to a valve to control flow rate and attenuate pulses of the pulsating flow of the fluid.

A adjustment system for machining parameter includes a storage device and a processor. The processor includes a mapping module and a prediction module. The mapping module determines a type of a tool under test. When the type of the tool under test is determined as the same as the type of the first cutting tool, the mapping module obtains the first machining data from the database and as it as a reference data of the tool under test. When a machining program related to at least one of the NC program blocks is going to be executed for the tool under test, the prediction module predicts a predicted capacity loss value of the tool under test at a predetermined PRM while executing the machining program.

A rotation angle estimation apparatus includes: a high-frequency voltage setting unit that sets high-frequency voltages; a circuit operating unit that operates an electric power conversion circuit to apply each of the high-frequency voltages to a corresponding one of winding groups of a rotating electric machine; and a rotation angle estimating unit that estimates a rotation angle of the rotating electric machine based on at least one of high-frequency currents that flow in the winding groups upon application of the high-frequency voltages to the winding groups. Moreover, the high-frequency voltage setting unit sets the high-frequency voltages based on the spatial phase difference between the winding groups so that in a fixed coordinate system of the rotating electric machine, the magnitude of a resultant vector of a plurality of high-frequency voltage vectors, which are respectively applied to the winding groups, becomes smaller than the magnitude of each of the high-frequency voltage vectors.

A rotation angle estimation apparatus includes: a high-frequency voltage setting unit that sets high-frequency voltages; a circuit operating unit that operates an electric power conversion circuit to apply each of the high-frequency voltages to a corresponding one of winding groups of a rotating electric machine; and a rotation angle estimating unit that estimates a rotation angle of the rotating electric machine based on at least one of high-frequency currents that flow in the winding groups upon application of the high-frequency voltages to the winding groups. Moreover, the high-frequency voltage setting unit sets the high-frequency voltages based on the spatial phase difference between the winding groups so that in a fixed coordinate system of the rotating electric machine, the magnitude of a resultant vector of a plurality of high-frequency voltage vectors, which are respectively applied to the winding groups, becomes smaller than the magnitude of each of the high-frequency voltage vectors.