Embodiments of the present invention provide an automatic monitoring method and apparatus that automatically detects occurrence of an accident or a situation that may lead to an accident in a CNC machine and environment; and signals to take an appropriate action for rectifying the accidental situation. The method and apparatus may include a plurality of sensors that are mounted on various parts of the CNC machine, wherever required. The method, in execution, detects collisions and other failures/injuries in the CNC machine that lead to severe accidents and damage to the operation.

The present disclosure relates to a method for online monitoring defect of a milling tool, comprising the steps of: 1) installing a vibration sensor module on a machine tool spindle; 2) acquiring initial sample data; 3) setting a threshold value ?S.sub.0 with a time interval of T; 4) measuring vibration signals of n blades in x, y and z directions in each period T.sub.0; 5) shaping to obtain n strong vibration cutting wave data respectively formed by n blades in x and y directions in each period T.sub.0; 6) analyzing and processing the strong vibration cutting wave data to obtain the difference ?S.sub.0.sup./ between the cutting strong vibration wave areas formed by each blade in each period T.sub.0; 7) outputting a blade wear or defect signal to a display alarm module according to the constraint conditions by a data comparing and analyzing module, and giving an alarm by a display alarm module.

An abnormality detector includes a signal output unit for detecting a sign of an abnormality based on a physical quantity acquired from a manufacturing machine and outputting a signal; and a machine learning device including state observation unit for observing, as a state variable representing a present state of the environment, physical quantity data indicating the physical quantity related to an operation of the manufacturing machine from the manufacturing machine; a label data acquisition unit for acquiring, as label data, operation state data indicating an operation state of the manufacturing machine; a learning unit for learning the operation state of the manufacturing machine with respect to the physical quantity, using the state variable and the label data; and an estimation result output unit for estimating the operation state of the manufacturing machine using a learning result by the learning unit and outputting an estimation result.

An abnormality factor identification apparatus includes a sensor signal obtaining unit that obtains sensor signals associated with the physical state of a machine, an operating state determination unit that determines operating states of the machine based on information obtained from the machine, an abnormality level calculation unit that calculates the abnormality levels of the sensor signals for each operating state of the machine determined by the operating state determination unit, and a factor identification unit that determines a factor in an abnormality in the machine from historical data being a series of the abnormality levels for each operating state.

A processing system comprises a tool that processes a workpiece composed of a metal member, a motor that rotates the workpiece or the tool, a control unit that controls the motor, and a measurement unit that obtains an electrical quantity of the motor, wherein the control unit changes a rotational speed of the motor based on a difference between a first electrical quantity and a second electrical quantity, the first electrical quantity is an electrical quantity obtained by the measurement unit while the motor rotates before the workpiece is processed, and the second electrical quantity is an electrical quantity obtained by the measurement unit while the workpiece is processed.

The invention relates to a method for determining a position of a work piece and of a tool in a machine tool, in which a work piece is clamped at the machine tool, in which the tool is subsequently inserted into a rotatable spindle shaft by means of a tool holder and the spindle shaft is set into rotation, in which an electrical voltage is applied between the work piece and the tool, in which the tool and the work piece are displaced with respect to one another, and in which a variation in the applied voltage is determined in the event of a contact between the tool and the work piece, and the respective position of the work piece and/or of the tool is determined and recorded in a computing program for control/regulation of the machining of the work piece.

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.

A system for detecting a damaged tool of multi-axis head machining equipment includes multi-axis head machining equipment, and a damaged tool detecting device connected to the multi-axis head machining equipment to detect a damaged tool, the damaged tool detecting device being configured to measure a current and a current change amount of the multi-axis head machining equipment to monitor a machining load, and a derivative and machining energy of the machining load, so as to detect whether there is an abnormality in a plurality of tools mounted on a multi-axis head during machining.

In one example, a method including controlling milling of a component via a milling system, the milling system including a spindle, a tool holder coupled to the spindle, the tool holder configured to receive a milling tool; and the milling tool configured to remove at least a portion of the component via milling while the milling tool is rotated by the spindle and tool holder, wherein the milling system is configured to conduct an electrical signal between the milling tool and component during milling of the component when the milling tool is not broken; monitoring the electrical signal conducted between the milling tool and component; and determining whether the milling tool is broken based on the monitored electrical signal.

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.