Abstract: A tool state learning device has a storage unit for storing an arbitrary image captured by an imaging device imaging a machined surface of an arbitrary workpiece cut using an arbitrary tool, and a teacher data acquisition unit for acquiring, as input data, an arbitrary image stored in the storage unit, and acquiring, as a label, the state of the tool annotated according to prescribed levels indicating the degree of wear of the tool on the basis of the arbitrary image. The tool state learning device also has a tool state learning unit for using the acquired label and input data to perform supervised learning, and generating a learned model in which a machined surface image of the machined surface of a workpiece imaged by the imaging device is inputted and the state of the tool that cut the machined surface of the workpiece is outputted.

Abstract: To provide an analysis device, an analysis method, and an analysis program capable of analyzing a machining state while associating machine data output during operation of a machine tool and measured data containing the size of an actual machined part measured by a measuring machine with each other. An analysis device comprises: a collection unit that collects an aggregate of machine data output during operation of a machine tool and an aggregate of measured data containing measurement points where the size of a machined part machined by the machine tool has been measured by a measuring instrument; and a feature extraction unit that selects machine data corresponding to an arbitrary measurement point, in the aggregate of the measured data from the aggregate of the machine data, and extracts the selected machine data as a feature at the arbitrary measurement point.

Abstract: Provided is a defect occurrence prediction system for a machine tool that makes it possible to identify the factors causing the occurrence of defects efficiently and effectively, and predict the occurrence of the defects accurately with good precision.

Abstract: The present disclosure is intended to provide an automatic three-dimensional measurement-based inspection system for workpieces which enables three-dimensional measurement-based inspection to be performed more efficiently. An automatic three-dimensional measurement-based inspection system for workpieces includes: an automated warehouse having a measurement target repository for storing a workpiece to undergo measurement-based inspection performed by a three-dimensional measurement apparatus, and having a measurement-purpose repository for storing the workpiece conveyed from the measurement target repository by a stacker crane when the three-dimensional measurement apparatus is going to perform the measurement; and the three-dimensional measurement apparatus provided is a three-dimensional measurement region that is adjacent to the measurement-purpose repository.

Abstract: Provided is a defect occurrence prediction system for a machine tool that makes it possible to identify the factors causing the occurrence of defects efficiently and effectively, and predict the occurrence of the defects accurately with good precision.

Abstract: The present disclosure is intended to provide an automatic three-dimensional measurement-based inspection system for workpieces which enables three-dimensional measurement-based inspection to be performed more efficiently. An automatic three-dimensional measurement-based inspection system for workpieces includes: an automated warehouse having a measurement target repository for storing a workpiece to undergo measurement-based inspection performed by a three-dimensional measurement apparatus, and having a measurement-purpose repository for storing the workpiece conveyed from the measurement target repository by a stacker crane when the three-dimensional measurement apparatus is going to perform the measurement; and the three-dimensional measurement apparatus provided is a three-dimensional measurement region that is adjacent to the measurement-purpose repository.

Abstract: A surface damage inspection system for a workpiece, to automate efficient and effective appearance inspection using imaging, includes an illumination unit that emits light to an inspection target surface from four directions including frontward and rearward directions in an X direction and rightward and leftward directions in a Y direction; an imaging unit that captures an image of the inspection target surface; a damage detection unit that detects damage at the inspection target surface using the image of the inspection target surface; a robot to which a damage inspection device including the illumination unit and the damage detection unit is attached; a table on which the workpiece is to be placed; and a controller that controls drive of the robot and the damage inspection device so as to make the damage inspection device inspect the workpiece on the table or the workpiece gripped by the robot.

Abstract: To provide a surface damage inspection system for a workpiece allowing automation of appearance inspection using imaging technique and allowing appearance inspection of a workpiece efficiently and effectively. A surface damage inspection system comprises: an illumination unit that emits light to an inspection target surface from four directions including frontward and rearward directions in an X direction and rightward and leftward directions in a Y direction; an imaging unit that captures an image of the inspection target surface; a damage detection unit that detects damage at the inspection target surface using the image of the inspection target surface; a robot to which a damage inspection device including the illumination unit and the damage detection unit is attached; a table on which the workpiece is to be placed; and a controller that controls drive of the robot.

Abstract: A life determination device comprises: an image acquiring unit that acquires an image showing a result of machining by cutting on a target of the machining by cutting; a feature quantity acquiring unit that acquires a feature quantity indicating the quality of the result of the machining by cutting from the image acquired by the image acquiring unit; and a life determining unit that determines the life of a cutting tool having been used for the machining by cutting on the target based on the feature quantity acquired by the feature quantity acquiring unit.

Abstract: To provide an analysis device, an analysis method, and an analysis program capable of analyzing a machining state while associating machine data output during operation of a machine tool and measured data containing the size of an actual machined part measured by a measuring machine with each other. An analysis device comprises: a collection unit that collects an aggregate of machine data output during operation of a machine tool and an aggregate of measured data containing measurement points where the size of a machined part machined by the machine tool has been measured by a measuring instrument; and a feature extraction unit that selects machine data corresponding to an arbitrary measurement point, in the aggregate of the measured data from the aggregate of the machine data, and extracts the selected machine data as a feature at the arbitrary measurement point.

Abstract: To provide a diagnosis device, a diagnosis method, and a diagnosis program capable of identifying a factor for defective machining. A diagnosis device comprises: a collection unit that collects machine data output during operation of a machine tool; a feature extraction unit that classifies the machine data according to an input factor for defective machining, and extracts a feature quantity from an aggregate of the machine data according to the input factor; and a determination unit that compares a feature quantity in the machine data output during actual machining by the machine tool with the feature quantity according to the factor, and determines a factor for defective machining based on a degree of match.

Abstract: In order to detect a point of generation of oil leakage in a machine, an oil leakage detection device is provided with a state observation unit configured to acquire a change pattern of the flow rate of oil from log data recorded during operation of a machine tool and create input data based on the acquired change pattern of the oil flow rate, a label acquisition unit configured to acquire information on the presence of generation of oil leakage and a point of generation of oil leakage from the log data and create teacher data based on the acquired information on the presence of generation of oil leakage and information on the generation point of oil leakage, a learning unit configured to perform supervised learning based on the input data and the teacher data, thereby constructing a learning model, and a learning model storage unit configured to store the learning model.

Abstract: In order to detect a point of generation of oil leakage in a machine, an oil leakage detection device is provided with a state observation unit configured to acquire a change pattern of the flow rate of oil from log data recorded during operation of a machine tool and create input data based on the acquired change pattern of the oil flow rate, a label acquisition unit configured to acquire information on the presence of generation of oil leakage and a point of generation of oil leakage from the log data and create teacher data based on the acquired information on the presence of generation of oil leakage and information on the generation point of oil leakage, a learning unit configured to perform supervised learning based on the input data and the teacher data, thereby constructing a learning model, and a learning model storage unit configured to store the learning model.

Abstract: A life determination device comprises: an image acquiring unit that acquires an image showing a result of machining by cutting on a target of the machining by cutting; a feature quantity acquiring unit that acquires a feature quantity indicating the quality of the result of the machining by cutting from the image acquired by the image acquiring unit; and a life determining unit that determines the life of a cutting tool having been used for the machining by cutting on the target based on the feature quantity acquired by the feature quantity acquiring unit.