A spindle abnormity detection device includes a first sensor configured to measure oscillation of a spindle of a machine tool, a second sensor configured to measure radial runout of an axis of a tool unit attached to the spindle, and a computer configured to perform abnormity determination of the spindle based on an oscillation comparison result and a runout comparison result, the oscillation comparison result being obtained by comparing a detection result obtained by the first sensor with an oscillation standard of the spindle, the runout comparison result being obtained by comparing a detection result obtained by the second sensor with a runout standard of the tool unit.

A spindle abnormity detection device includes a first sensor configured to measure oscillation of a spindle of a machine tool, a second sensor configured to measure radial runout of an axis of a tool unit attached to the spindle, and a computer configured to perform abnormity determination of the spindle based on an oscillation comparison result and a runout comparison result, the oscillation comparison result being obtained by comparing a detection result obtained by the first sensor with an oscillation standard of the spindle, the runout comparison result being obtained by comparing a detection result obtained by the second sensor with a runout standard of the tool unit.

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 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 tool replacement timing management system includes a data acquisition section configured to acquire time series data indicating a machining state from a machine, a data cutout section configured to cut out specimen data from the time series data according to at least one condition or a combination of conditions selected from among machining, a tool, a workpiece, and a tool speed, a machining state variable calculating section configured to calculate a machining state variable, which is a statistical index, from the specimen data, a tool deterioration state generation section configured to generate tool deterioration state data in which the machining state variable is aligned in a time series, and a tool replacement timing calculating section configured to calculate a tool replacement timing on a basis of the tool deterioration state data.

A tool replacement timing management system includes a data acquisition section configured to acquire time series data indicating a machining state from a machine, a data cutout section configured to cut out specimen data from the time series data according to at least one condition or a combination of conditions selected from among machining, a tool, a workpiece, and a tool speed, a machining state variable calculating section configured to calculate a machining state variable, which is a statistical index, from the specimen data, a tool deterioration state generation section configured to generate tool deterioration state data in which the machining state variable is aligned in a time series, and a tool replacement timing calculating section configured to calculate a tool replacement timing on a basis of the tool deterioration state data.

Provided is a servo controller that can prevent an unnecessary cut from being generated in a workpiece during oscillation machining. A servo controller 20 includes: an oscillation command generating unit 23 that generates an oscillation command for causing a workpiece W and a tool 11 to relatively oscillate; a position deviation estimating unit 31 that estimates an estimated position deviation from a moving command for causing the workpiece W and the tool 11 to relatively move; an adder that applies the oscillation command to a position deviation based on the moving command; a subtractor that deducts the estimated position deviation from a position deviation to which the oscillation command is applied; and a learning control unit that calculates a compensation amount from a position deviation based on the moving command after deducting the estimated position deviation.

Provided is a servo controller that can prevent an unnecessary cut from being generated in a workpiece during oscillation machining. A servo controller 20 includes: an oscillation command generating unit 23 that generates an oscillation command for causing a workpiece W and a tool 11 to relatively oscillate; a position deviation estimating unit 31 that estimates an estimated position deviation from a moving command for causing the workpiece W and the tool 11 to relatively move; an adder that applies the oscillation command to a position deviation based on the moving command; a subtractor that deducts the estimated position deviation from a position deviation to which the oscillation command is applied; and a learning control unit that calculates a compensation amount from a position deviation based on the moving command after deducting the estimated position deviation.

A method includes steps of: performing preparation-phase measurements on a spindle of a machine tool to generate normal-condition signals; establishing a reference model based on the normal-condition signals; generating abnormal-condition signals based on the reference model and a preset damage value; utilizing principal components analysis (PCA) to characterize the normal-condition and abnormal-condition signals to obtain normal and abnormal probabilistic models, determining normal-condition and abnormal-condition reference curves based on the normal and abnormal probabilistic models; determining an alert-triggering line based on the abnormal-condition reference curve; determining a permissible range between the alert-triggering line and the normal-condition reference curve; and generating a warning signal when it is determined that a detection value falls outside of the permissible range, wherein the detection value is obtained based on application-phase measurements performed on the spindle.

A method includes steps of: performing preparation-phase measurements on a spindle of a machine tool to generate normal-condition signals; establishing a reference model based on the normal-condition signals; generating abnormal-condition signals based on the reference model and a preset damage value; utilizing principal components analysis (PCA) to characterize the normal-condition and abnormal-condition signals to obtain normal and abnormal probabilistic models, determining normal-condition and abnormal-condition reference curves based on the normal and abnormal probabilistic models; determining an alert-triggering line based on the abnormal-condition reference curve; determining a permissible range between the alert-triggering line and the normal-condition reference curve; and generating a warning signal when it is determined that a detection value falls outside of the permissible range, wherein the detection value is obtained based on application-phase measurements performed on the spindle.