A machine tool includes a workpiece spindle device which rotates a workpiece, a tool post which can move a tool in a first axis direction (X-axis direction) which is a radial direction of the workpiece and a second axis direction (Z-axis direction) which is an axial direction of the workpiece, and an articulated robot including a plurality of arms, a plurality of joints, and end effectors. The plurality of joints connect the plurality of arms in a rotatable manner around an axis parallel to a third axis (Y-axis) orthogonal to the first axis and the second axis, and the end effectors move in a plane parallel to a movement plane of the tool.

A turning tool includes a power receiving coil, a sensor, and a wireless unit. The power receiving coil receives power transmitted from a power transmitting coil in a non-contact manner. The sensor is electrically connected to the power receiving coil. The wireless unit transmits data detected by the sensor to an outside.

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.

Tool bodies, tools and machines for operating the tool include electronic circuits for providing data, collecting data, analyzing data and for controlling machines based on such data. Tool bodies and tools may include electronic circuits having data collecting sensors, which may be embedded in a housing with the electronic circuit and/or positioned outside of such a housing. Sensors include temperature sensors, motion sensors, strain sensors, moisture sensors, electrical resistance sensors, position sensors, antennas, and other components.

A cutting tool includes a cutting insert having a cutting edge; a holder holding the cutting insert; a sensor provided in the holder; and an information communication circuitry that is provided in the holder, transmits an inquiry for parameter information related to measurement by the sensor to a management device provided outside the cutting tool, and acquires the parameter information from the management device.

In the disclosure, a failure of a device performing work while moving is more reliably detected while the data amount of failure diagnosis data is reduced. The disclosure includes a frequency analyzing part which performs a frequency analysis on acquired data from an acceleration sensor; a maximum frequency detecting part which detects a maximum frequency from a result of the frequency analysis; and a failure diagnosis data generating part which sets a frequency twice or more of the maximum frequency as a sampling frequency, samples the acquired data from the acceleration sensor, and generates the failure diagnosis data.

The invention relates to a tool post of a machine tool, which tool post is capable of receiving a cutting insert for machining a component, characterised in that it comprises at least one sensor capable of determining a parameter representative of a cutting action between a component to be machined and a cutting insert, and a support housing (9) which is electrically connected to the sensor and comprises a battery (17) and a printed circuit board (19) supplied with current by said battery (17), wherein said printed circuit board (19) supports, at least partially, a radio transmission unit (11) and the housing (9) consists of a base (21) and a cover (23) which can be detached from one another, and in that the battery (17) is supported by the cover (23) and the printed circuit board (19) by the base (21) or vice versa.

A monitoring method and a monitoring system for a machine tool to machine a workpiece are provided. The monitoring method includes the following steps. First, a vibration signal of a spindle of the machine tool is detected. Next, a vibration feature value of the vibration signal is obtained. Whether the vibration feature value exceeds a threshold condition is determined, wherein the threshold condition is determined by a training model based on a predetermined surface quality of the workpiece. When the vibration feature value exceeds the threshold condition, a machining parameter of the machine tool is adjusted.

A method for inspecting normality of a spindle of a machine tool is provided. Spectral analysis, time domain analysis and principal components analysis are performed on a vibration signal that results from the vibration of the spindle, so as to build a Gaussian mixture model. Then, based on a difference between the Gaussian mixture model and a predetermined reference model, whether the machine tool is operating normally can be determined in real time.

The invention relates to a method for producing or machining a toothing (2) on a workpiece (3), in which method the workpiece, which is rotationally driven about its axis of rotation (C), is brought into rolling machining engagement with tool toothing (5) rotating about an axis of rotation (C2) which is, in particular, at a non-null crossed-axes angle to the axis of rotation of the workpiece, wherein the machining operation is automatically monitored, using sensors to record same automatically, already at the machine operation stage for a recurring irregularity originating from tool wear (52), in particular higher wear of at least one tool tooth (51) compared to other tool teeth.