A tool management system of a machine tool includes: a detection unit to detect at least one of vibration, acoustic waves produced during operation of the machine tool, and current value of a server motor of a driving machine tool; a tool replacement determination unit that determines the necessity to replace the tool on the basis of information related to a detection value of at least one of the vibration, the acoustic waves, and the current value detected during operation of the machine tool; and a detection start/end command setting unit that adds commands for a detection start point and a detection end point of at least one of the vibration, the acoustic waves, and the current value of the servo motor to a machining program.

A control device of a machine including: an operating condition analyzing unit that analyzes an operating condition of the program, and performs a notification when the tool to be exchanged is not adjusted; an operating condition storage unit that stores the operating condition of the program at a time of exchanging the tool; a state restoration confirming unit that confirms whether an internal state of the machine and/or the control device is restorable so that an operation of a predetermined block of the program is performed again after the operation and a stop of the predetermined block after exchanging the tool; and a state restoration executing unit that, in a case in which the internal state is confirmed to be restorable, restores the internal state to a state at the time of exchanging the tool based on the stored operating condition of the program at the time of exchanging the tool.

A control device of a machine including: an operating condition analyzing unit that analyzes an operating condition of the program, and performs a notification when the tool to be exchanged is not adjusted; an operating condition storage unit that stores the operating condition of the program at a time of exchanging the tool; a state restoration confirming unit that confirms whether an internal state of the machine and/or the control device is restorable so that an operation of a predetermined block of the program is performed again after the operation and a stop of the predetermined block after exchanging the tool; and a state restoration executing unit that, in a case in which the internal state is confirmed to be restorable, restores the internal state to a state at the time of exchanging the tool based on the stored operating condition of the program at the time of exchanging the tool.

A dental machining system for manufacturing a dental restoration including: a dental tool machine (1) which has: a dental blank holder for holding at least one dental blank (2) relatively movably with respect to one or more dental tools (3); one or more driving units (4) each for movably holding at least one dental tool (3) for machining the dental blank (2), a control unit for controlling the dental blank holder and the driving units (4) based at least on a temporal trajectory of the dental tool (3) relative to the dental blank (2) and a spatial amount of material removal from the dental blank (2) along the temporal trajectory. The control unit executes a trained artificial intelligence algorithm.

A dental machining system for manufacturing a dental restoration including: a dental tool machine (1) which has: a dental blank holder for holding at least one dental blank (2) relatively movably with respect to one or more dental tools (3); one or more driving units (4) each for movably holding at least one dental tool (3) for machining the dental blank (2), a control unit for controlling the dental blank holder and the driving units (4) based at least on a temporal trajectory of the dental tool (3) relative to the dental blank (2) and a spatial amount of material removal from the dental blank (2) along the temporal trajectory. The control unit executes a trained artificial intelligence algorithm.

A wear prognosis method and a maintenance method for an earth working machine are disclosed, along with an apparatus for performing the method. Provision is made that the current wear state of one or more earth working tools is sensed. The residual wear capacity until the wear limit is reached is then ascertained from the current wear state.

A wear prognosis method and a maintenance method for an earth working machine are disclosed, along with an apparatus for performing the method. Provision is made that the current wear state of one or more earth working tools is sensed. The residual wear capacity until the wear limit is reached is then ascertained from the current wear state.

The present invention discloses a method for detecting abnormity in an unsupervised industrial system based on deep transfer learning. Labeled machine sensor sequence data from a source domain and unlabeled sensor sequence data from a target domain are used in the present invention to train an industrial system abnormal detection model with good generalization ability, and the industrial system abnormal detection model is trained and tested to finally generate a trained industrial system abnormity discrimination model. Using the model, received machine sensor sequence data can be analyzed and whether a machine is abnormal is discriminated.

The present invention discloses a method for detecting abnormity in an unsupervised industrial system based on deep transfer learning. Labeled machine sensor sequence data from a source domain and unlabeled sensor sequence data from a target domain are used in the present invention to train an industrial system abnormal detection model with good generalization ability, and the industrial system abnormal detection model is trained and tested to finally generate a trained industrial system abnormity discrimination model. Using the model, received machine sensor sequence data can be analyzed and whether a machine is abnormal is discriminated.

A machine tool includes: an imaging unit for capturing an image of a tool from a side of the tool; a shape extraction unit for extracting the shape of the tool from the image of the tool captured by the imaging unit; a wear detection unit for detecting the degree of wear of the tool based on the shape of the tool; and a changing unit for changing at least one of the pitch and the depth of cut according to the degree of wear.