An information measuring device includes a sensor that obtains information on a phenomenon periodically occurring on an apparatus while being synchronized with the steady repetition of an operation and a control device. The control device associates the obtained information with an operation phase in the operation so as to generate change in the phenomenon in one cycle based on the information obtained during the operation of several times. Meanwhile, an operation cycle where the operation is repeated in the apparatus, a sampling cycle, and a duration where the operation is steadily repeated in the apparatus are included in measurement parameters. The control device calculates an optimum measurement parameter from a relation between the measurement parameters on at least one of the measurement parameters and changes the measurement parameter as a target to the optimum measurement parameter.

A method and system of a predictive maintenance IoT system comprises receiving a plurality of sensor data over a communications network and determining one or more clusters from the sensor data based on a pre-determined rule set. Further, the sensor data is classified through a machine learning engine and the sensor data is further base-lined through a combination of database architecture, data training architecture, and a base-lining algorithm. Intensity or degree of fault state is mapped to a fuel gauge to be depicted on a user interface and a predictive maintenance state is predicted through a regression model and appropriate alarm is raised for user action.

A universal manufacturing vise jaw plate for use on a machine tool with a vise fixture, and configured for real-time operational data collection and analysis. The vise plate comprises a combination of acoustic and vibration sensors with a plate for cutting tool monitoring applications.

A comprehensive performance evaluation method for the CNC machine tools based on an improved pull-off method belongs to the technical field of performance evaluation of CNC machine tools. A linear proportional method is used to standardize the performance index data of machine tool. The entropy weight method and mean variance method are used to determine the two objective weights of each level of indicator. Based on the principle of vector A comprehensive evaluation of three-level index is obtained from the linear weighted evaluation function. Finally, a similar method was used to calculate the comprehensive evaluation of a large system layer by layer. The present invention is used for the comprehensive performance evaluation of various CNC machine tools and also for a lateral comparison of specific performance of different machine tools, providing a scientific and possible evaluation method and process for the comprehensive performance evaluation of machine tools.

An abnormality detection device of a machine tool includes a plurality of vibration sensors mounted on a body of the machine tool at a plurality of positions; and a determination portion that determines an operation condition of the machine tool based on vibration information detected by the vibration sensors. The abnormality detection device detects abnormality of the machine tool according to determination information of the determination portion. The determination portion specifies a predetermined item whose machining accuracy lowers based on the mounted position of the vibration sensor that has detected abnormal vibration.

A spindle vibration measuring system which measures vibration of a spindle in a machining device that performs a cutting or abrading process on a workpiece. The machining device has a workpiece holder that holds the workpiece, the spindle that holds a tool, and a moving mechanism that relatively moves the workpiece holder and the spindle. The spindle vibration measuring system acquires positional variation data or vibration data of the moving mechanism when the spindle rotates, and a result related to vibration of the spindle to output or store based on the positional variation data or the vibration data.

A comprehensive performance evaluation method for the CNC machine tools based on an improved pull-off method belongs to the technical field of performance evaluation of CNC machine tools. A linear proportional method is used to standardize the performance index data of machine tool. The entropy weight method and mean variance method are used to determine the two objective weights of each level of indicator. Based on the principle of vector A comprehensive evaluation of three-level index is obtained from the linear weighted evaluation function. Finally, a similar method was used to calculate the comprehensive evaluation of a large system layer by layer. The present invention is used for the comprehensive performance evaluation of various CNC machine tools and also for a lateral comparison of specific performance of different machine tools, providing a scientific and possible evaluation method and process for the comprehensive performance evaluation of machine tools.

A machine tool is configured so that: a first frequency band comprising the main shaft characteristic vibration frequency and a second frequency band comprising the mechanical structure characteristic vibration frequency are set; thresholds are stored for each of the set frequency bands; vibration components are extracted for each of the frequency bands from the output of a vibration sensor; and when the vibration amplitude exceeds a threshold in either of the frequency bands, an alarm is sounded.

An abnormality factor identification apparatus includes a sensor signal obtaining unit that obtains sensor signals associated with the physical state of a machine, an operating state determination unit that determines operating states of the machine based on information obtained from the machine, an abnormality level calculation unit that calculates the abnormality levels of the sensor signals for each operating state of the machine determined by the operating state determination unit, and a factor identification unit that determines a factor in an abnormality in the machine from historical data being a series of the abnormality levels for each operating state.

A cutting processing apparatus includes a cutting tool, a chuck portion, a feed mechanism, a fixing portion that fixes the cutting object, a stage that moves the fixing portion at a processing speed in a direction substantially orthogonal to a rotation axis of the chuck portion, a sensor that is arranged in the vicinity of a position on the fixing portion at which the cutting object is fixed, detects vibration of the cutting tool during cutting processing of the cutting object, and outputs a monitoring signal, and a control circuit that converts time waveform data of the monitoring signal to frequency waveform data and extracts an impact amount during cutting processing of the cutting object from the frequency waveform data.