In a method of monitoring a condition of a machine tool (1) having a plurality of machine axes, at least a part of the machine axes is systematically actuated in a test cycle, and associated condition data are obtained by measurements. On this basis, EOL data correlating with a noise behavior of a gear train comprising a workpiece machined by the gear cutting machine are predicted. Disclosed is also the reverse direction in which condition data are predicted from EOL data.

A machine tool that can output an abnormal noise is provided. A machine tool includes: an input unit configured to receive an input of a setting for defining an operation mode of the machine tool; a storage unit configured to store sound generated during a normal operation of the machine tool and acquired in advance; a sound collection unit configured to collect sound in the machining area; a sound selection unit configured to extract a part of sound collected in the machining area in accordance with the setting input for outputting sound to the outside of the machine tool; and a sound output unit configured to output sound extracted by the sound selection unit to the outside of the machining area.

A feedback control numerical machine tool and a method thereof are provided. The machine tool includes at least two spindles, an acoustic frequency detecting module, at least two spindle position detecting modules, and a control module. The spindles machine a workpiece. The acoustic frequency detecting module detects an acoustic frequency of the spindles when machining the workpiece. The spindle position detecting modules detects position information of the spindles when machining the workpiece. The control module acquires the acoustic frequency and the position information of the spindles, monitors whether any of the spindles chatters according to the acoustic frequency of the spindles, and performs chattering avoidance to the spindle that chatters according to the position information of the spindles. As such, the present disclosure performs chattering monitoring to a plurality of spindles and avoids the chattering immediately.

The present invention concerns a method and a system for detecting malfunctions in an apparatus and/or defects in a workpiece processed by said apparatus. The method provides for acquiring a sound signal emitted by an apparatus during an operation cycle of the same, then comparing the sound signal with a plurality of audio tracks stored in a memory area for determining a malfunction of the apparatus and/or a defectiveness of the workpiece processed by the apparatus based on the result of said comparison. The operation cycle is subdivided into a plurality of work phases and during the acquisition of the sound signal a work phase of said plurality of work phases is identified. Each audio track of the plurality of stored audio tracks comprises an audio component relating to acquired sound signals, and additional information data comprising at least one identifier of the work phase executed by the apparatus during the acquisition of the sound signals of the audio component. The plurality of audio tracks used for the comparison with the sound signal is a group of audio tracks of the plurality of audio tracks whose identifier of the work phase of the apparatus corresponds to the identified work phase. The identification data of the audio tracks additionally comprise at least one identifier of a plurality of components activated during the phase to which the audio component refers, and it is further provided for a) identifying a plurality of components activated during the identified work phase, b) on the basis of the plurality of activated components, identifying a set of comparison phases among the plurality of phases of the operation cycle, and c) identifying as defective at least one component between the plurality of components activated during the work phase and/or the workpiece, on the basis of the audio tracks relating to the set of comparison phases identified and/or on the basis of sound signals acquired during the identified comparison phases.

The invention relates to a method for determining the degree of wear of at least one component of a machining device (10), wherein at least one actual condition (19) of the machining device (10) is established and the at least one actual condition (19) is compared to at least one comparative condition (18) of the machining device (10), and a conclusion is drawn as to the degree of wear of the at least one component as a function of a deviation determined between the at least one actual condition (19) and the at least one comparative condition (18), wherein, to establish the at least one actual condition (19) and/or the at least one comparative condition (18), sound emissions (16) of the machining device (10) are captured. The invention also relates to a device (13) for determining a degree of wear of at least one component of a machining device (10), a machining device (10) for machining workpieces (11), and a computer program for determining a degree of wear of at least one component of a machining device (10).

A method for making safe the use of at least one hand-held power tool includes providing at least one item of safety information using at least one evaluation unit of an electronic safety device. The at least one item of safety information is based on at least one application-specific characteristic quantity. The electronic safety device is configured to be fastened to an extremity of a user using a fastening unit.

A power tool includes a control for the motor of the power tool that senses an operating characteristic of the motor and controls the operation of the power tool based on the sensed characteristic. The sensed characteristic includes variations in reluctance of the motor. A controller may sense changes on load on the motor as a result of interaction between a working element such as a saw blade or drill bit and the work piece. The controlled operation may include variation in speed or torque or both, or may include stopping the motor. Emergency conditions may be sensed by changes in reluctance.

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.

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.

An apparatus of controlling a chattering of a machine tool includes an acceleration sensor installed at a forced frequency part of the machine tool to detect a chattering signal of the machine tool; a monitor including a chattering output unit for displaying a chattering value in a graph form, a chattering correction direction display unit for outputting an increase or a decrease of a rotation amplitude and a rotation amplitude variable period, and a parameter input unit for inputting an increase or a decrease ratio of the rotation amplitude and a time corresponding to the rotation amplitude variable period; and a control unit for adjusting the rotation amplitude and the rotation amplitude variable period manually or automatically, which stabilizes the chattering of the machine tool and reduces a vibration and a noise caused by the chattering and prevents abnormal wear and damage to the machine tool.