Systems and techniques to facilitate tool failure analysis associated with fabrication processes are presented. A monitoring component determines a candidate tool failure associated with one or more fabrication tools based on sensor data generated by a set of sensors associated with the one or more fabrication tools. A signature component generates a signature dataset for the candidate tool failure based on data associated with the one or more fabrication tools. A comparison component compares the candidate tool failure to at least one previously determined tool failure based on the signature dataset and at least one other signature dataset associated with the at least one previously determined tool failure.

Information is collected from a management target device having a drive unit such as a machine tool, and this collected information is more practically used. An information collection device includes a collection unit that collects, from management target devices having a drive unit, operating state information which is information indicating an operating state of the management target device while operating accompanying movement of the drive unit; and a comparison unit that extracts a plurality of sets of information matching in a predetermined condition from the operating state information thus collected, and outputs a comparison result of the plurality of sets of information thus extracted.

A main spindle failure detection device for a machine tool includes a rotation speed detection unit, a reach time estimation unit, and a determining unit. The reach time estimation unit is configured to estimate a reach time in which the rotation speed of the main spindle reaches a predetermined rotation speed threshold using a non-linear model based on a rotation speed of the main spindle detected at a start of an inertia operation and a rotation speed of the main spindle detected after an elapse of preset measurement time from the start of the inertia operation. The determining unit is configured to compare the reach time estimated by the reach time estimation unit with a preset reach time in which the rotation speed reaches the rotation speed threshold, so as to determine a failure in the main spindle based on a result of the comparison.

A method for setting or monitoring operating parameters of a workpiece processing machine having a tool holder and means for moving a workpiece and the holder relative to one another along a first axis. During milling of the holder fitted with a workpiece and during application of the tool to a workpiece, values for at least one measured variable are registered and recorded. The variables include an axial force acting in a direction parallel to the first axis, a torque relative to the first axis or to an axis oriented parallel to the first axis, and bending torques or bending torque components according to direction and amount. The values are used to set the operating parameters with respect to an extended service life of the tool in conjunction with a processing time falling below a maximum machining time, monitoring tool wear or a machine error.

A main spindle failure detection device for a machine tool includes a rotation speed detection unit, a reach time estimation unit, and a determining unit. The reach time estimation unit is configured to estimate a reach time in which the rotation speed of the main spindle reaches a predetermined rotation speed threshold using a non-linear model based on a rotation speed of the main spindle detected at a start of an inertia operation and a rotation speed of the main spindle detected after an elapse of preset measurement time from the start of the inertia operation. The determining unit is configured to compare the reach time estimated by the reach time estimation unit with a preset reach time in which the rotation speed reaches the rotation speed threshold, so as to determine a failure in the main spindle based on a result of the comparison.

Systems and techniques to facilitate tool failure analysis associated with fabrication processes are presented. A monitoring component determines a candidate tool failure associated with one or more fabrication tools based on sensor data generated by a set of sensors associated with the one or more fabrication tools. A signature component generates a signature dataset for the candidate tool failure based on data associated with the one or more fabrication tools. A comparison component compares the candidate tool failure to at least one previously determined tool failure based on the signature dataset and at least one other signature dataset associated with the at least one previously determined tool failure.

An anomaly detection system includes: a sensor provided to a tool, the sensor being configured to measure a physical quantity, of the tool, that varies while a machine tool is machining a machining target object by means of the tool; and an anomaly detection device configured to detect an anomaly in the tool, based on measurement data obtained by the sensor. The anomaly detection device includes: a synchronization unit configured to achieve synchronization between target data being measurement data in time series obtained by the sensor, and reference data being a measurement result in time series of the physical quantity when the tool is in a normal state; a distance calculation unit configured to calculate a distance between the reference data and the target data; and an anomaly detection unit configured to detect an anomaly in the tool by comparing the distance with a threshold.