A system for controlling an operation of a machine including a plurality of actuators assisting one or multiple tools to perform one or multiple tasks, in response to receiving an acoustic mixture of signals generated by the tool performing a task and by the plurality of actuators actuating the tool, submit the acoustic mixture of signals into a neural network trained to separate from the acoustic mixture a signal generated by the tool performing the task from signals generated by the actuators actuating the tool to extract the signal generated by the tool performing the task from the acoustic mixture of signals, analyze the extracted signal to produce a state of performance of the task, and execute a control action selected according to the state of performance of the task.

The present disclosure provides an aircraft engine graphical diagnostic tool, as well as a method and electronic device for operating the same. The graphical diagnostic tool comprises an input element configured for obtaining a data value for a first data dimension, and a visualization element having at least two dimensions. The visualization element is configured for presenting a dataset for at least second and third data dimensions associated with the first data dimension. The dataset presented by the visualization element is selected based on the data value for the first data dimension.

A diagnostic apparatus determines, at a reference time, whether a device is normal or abnormal, and in which operation state the device is at the time. A reference data creation unit repeats a process of storing sensor values acquired from the device while changing the operation state at the reference time in association with each of the determined operation states until there is no non-corresponding operation state with which the acquired sensor value is not yet associated. At a diagnosis time at which it is not known whether the device is normal or abnormal, an operation state and a sensor value of the device at the time is acquired. The stored sensor value associated with the acquired operation state is read to compare the sensor value acquired at the diagnosis time with the read sensor value to display a result of determination on whether the device is normal or abnormal.

The present disclosure provides an aircraft engine graphical diagnostic tool, as well as a method and electronic device for operating the same. The graphical diagnostic tool comprises an input element configured for obtaining a data value for a first data dimension, and a visualization element having at least two dimensions. The visualization element is configured for presenting a dataset for at least second and third data dimensions associated with the first data dimension. The dataset presented by the visualization element is selected based on the data value for the first data dimension.

A system for controlling an operation of a machine including a plurality of actuators assisting one or multiple tools to perform one or multiple tasks, in response to receiving an acoustic mixture of signals generated by the tool performing a task and by the plurality of actuators actuating the tool, submit the acoustic mixture of signals into a neural network trained to separate from the acoustic mixture a signal generated by the tool performing the task from signals generated by the actuators actuating the tool to extract the signal generated by the tool performing the task from the acoustic mixture of signals, analyze the extracted signal to produce a state of performance of the task, and execute a control action selected according to the state of performance of the task.

A noise source monitoring apparatus includes: an imaging unit for capturing an image of multiple switch units; an event time acquisition unit for acquiring a noise event time of a noise occurring in a control device; a switching time recognition unit for recognizing an on/off switching time of each of the multiple switch units; a correlation calculation unit for calculating, for every switch unit, the degree of correlation between occurrence of the noise and the on/off switching of the switch unit; and a display control unit for causing a display unit to display information indicating the degree of correlation for every switch unit.

A noise source monitoring apparatus includes: an imaging unit for capturing an image of multiple switch units; an event time acquisition unit for acquiring a noise event time of a noise occurring in a control device; a switching time recognition unit for recognizing an on/off switching time of each of the multiple switch units; a correlation calculation unit for calculating, for every switch unit, the degree of correlation between occurrence of the noise and the on/off switching of the switch unit; and a display control unit for causing a display unit to display information indicating the degree of correlation for every switch unit.

An NC unit calculates the phase difference in chatter vibration during working on the basis of detection result of sound produced by working a workpiece by an end mill, increases the number of rotations of the end mill by a predetermined number if the phase difference is smaller than a first phase difference threshold, and decreases the number of rotations of the end mill by a predetermined number if the phase difference is larger than a second phase difference threshold. Further, if the phase difference is between the first phase difference threshold and the second phase difference threshold, the NC unit finds the resonance frequency of a machine tool by multiplying a chatter frequency by a correction factor that changes according to the chatter frequency, and calculates the number of rotations of the end mill on the basis of the resonance frequency, to obtain stable working with suppressed chatter vibration.

A management system including a network, plural manufacturing cells connected to the network, and a management device that is connected to the network and manages the plurality of manufacturing cells, in which the manufacturing cell includes: a machine tool; and a control device that controls the machine tool, analyzes a vibration state of a spindle positioning shaft of the machine tool, and sends an analysis result via the network; in which the management device includes: a communication unit that receives the analysis result sent by the control device; and a detection unit that compares the analysis results thus received, and compares vibration states of the machine tool of each of the manufacturing cells, so as to detect spindle failure of any of the machine tools; and in which the communication unit, in a case of the detection unit detecting the spindle failure, sends a failure signal via the network.

A diagnostic apparatus determines, at a reference time, whether a device is normal or abnormal, and in which operation state the device is at the time. A reference data creation unit repeats a process of storing sensor values acquired from the device while changing the operation state at the reference time in association with each of the determined operation states until there is no non-corresponding operation state with which the acquired sensor value is not yet associated. At a diagnosis time at which it is not known whether the device is normal or abnormal, an operation state and a sensor value of the device at the time is acquired. The stored sensor value associated with the acquired operation state is read to compare the sensor value acquired at the diagnosis time with the read sensor value to display a result of determination on whether the device is normal or abnormal.