The present invention provides a tool wear state monitoring method and system based on multiple types of signals, and relates to the technical field of data processing. The method includes: obtaining data of a cutting force, an acoustic emission signal and a vibration signal, and extracting a plurality of statistical features from data of the cutting force and the acoustic emission signal; extracting a singularity feature from the vibration signal by combining a singularity analysis with a wavelet transform; building a tool wear state monitoring model based on a random forest, using an obtained feature to perform preliminary training, and outputting a wear prediction result; and based on the real-time data of the cutting force, the acoustic emission signal and the vibration signal, monitoring the wear state of the tool through the refined model.

A cutting tool may include a base body, a tip, a sensor, and a cover. The base body may have a shank portion extending in a first direction, a fixation portion, and a recess opening at an outside surface of the shank portion. The tip may be fixed to the fixation portion and may have a cutting edge. The sensor may be positioned inside the recess. The cover may close the recess. Among peripheral surfaces of the shank portion, a first area may face one side in a second direction that is a direction orthogonal to the first direction, and the cutting edge may be positioned further toward the one side in the second direction from the first area. The entirety of the cover may be positioned further toward the other side in the second direction from the cutting edge.

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.

A method for facilitating analysis of causes of machining defects is provided. The method is carried out by a computer system. The method includes the step of obtaining motion data and vibration acceleration data about the tip of a cutter mounted on a machine tool. The method further includes the step of obtaining time-frequency information about the vibration acceleration data by performing a time-frequency analysis on the vibration acceleration data. The method further includes the step of obtaining vibration-displacement data by normalizing the time-frequency information. The method further includes the step of obtaining amplitude-distribution data about the tip by synchronizing the motion data and the vibration-displacement data.

A machine tool includes: a movable body that supports a tool; a feed drive unit that feed-drives the movable body; a numerical control unit that controls the feed drive by the feed drive unit to perform cutting by the tool; an acceleration sensor that is provided on the movable body and detects acceleration of the movable body; and a command unit that outputs a stop command to stop driving of the feed drive unit to the numerical control unit when the acceleration of the movable body exceeds a threshold value set in advance on the basis of an output of the acceleration sensor. The command unit sets the threshold value to a first threshold value in a cutting control state, and sets the threshold value to a second threshold value lower than the first threshold value in a feed control in a non-cutting control state.