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 machine or autonomous system includes a diagnostic controller and is configured to perform a method for monitoring health of a machine. The method includes monitoring a set of first electrical signals indicative of control of a motor of the machine while the machine is operated in a first autonomous mode, determining that an abnormal operating condition has occurred in response to the set of first electrical signals meeting a first criteria, having the machine operate in a test mode in response to the determination that the abnormal operating condition has occurred, monitoring a set of second electrical signals indicative of control of the motor during the test mode, and determining a fault condition in response to the set of second electrical signals meeting a second criteria.

A method evaluating a decrease in production performance for a target work. A work efficiency evaluation method includes the steps of: reading, from a storage, model data used for evaluating work efficiency and generated based on operation data related to work including a predetermined work time and a predetermined work amount; calculating an degree of impact of a decrease in work efficiency on the basis of data related to time required for work and a work amount by the model data; and evaluating a decrease in production performance in accordance with the degree of impact.

Information is collected from a management target device having a drive unit such as a machine tool, and this collected information is more practically used. An information collection device includes a collection unit that collects, from management target devices having a drive unit, operating state information which is information indicating an operating state of the management target device while operating accompanying movement of the drive unit; and a comparison unit that extracts a plurality of sets of information matching in a predetermined condition from the operating state information thus collected, and outputs a comparison result of the plurality of sets of information thus extracted.

A numerical control device according to an aspect of the present disclosure controls, in accordance with a machining program, a machine tool that includes a plurality of machining systems performing machining by each causing a tool to act on a workpiece, and can perform tool oscillation that causes a relative speed of the tool in relation to the workpiece to periodically change in at least one of the machining systems, the numerical control device including: a condition change unit which, upon newly starting machining by one of the machining systems, in a case of another of the machining systems performing machining for which a presence/absence of the tool oscillation differs from the newly starting machining, changes a condition of the newly starting machining or the machining for which the presence/absence of the tool oscillation differs, from a condition derived from the machining program.

An abnormality detection apparatus for working tools configured to be used in a machining process performed by a machine tool, the abnormality detection apparatus includes a storage portion which previously stores correlations between features of a plurality of operating portions relation to the machining process performed by the machine tool, and a tool condition of each of a plurality of working tool types, and a tool condition determining portion which determines the tool condition of the working tools based on the correlations.

A system and method for authenticating additive-manufactured parts using digital fingerprints. The additive-manufactured parts may be parts in which material is added under computer control to build up a three-dimensional object, such as using 3D printing.

A system for monitoring machine anomalies via control data is provided. The system includes one or more sensors operative to generate control data from a machine; and a controller in electronic communication with the one or more sensors. The controller is operative to: receive the control data from the one or more sensors; generate a latent structure of part signatures from the control data; identify an anomaly within the latent structure of part signatures; and generate an indictor conveying the anomaly.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that optimize operation of manufacturing plants by adjusting the operation of manufacturing devices in manufacturing plants based on an assessment of their operations. Methods may include obtaining, from a first set of sensors, vibration data specifying vibration in a manufacturing device of a manufacturing plant. The vibration data may be processed to identify a vibration signature. Based on the vibration signature and known vibration signatures, a first operational state of the manufacturing device may be determined. One or more operational characteristics of the manufacturing device may be adjusted based on the first operational state of the manufacturing device, to achieve a second operational state.

A machine or autonomous system includes a diagnostic controller and is configured to perform a method for monitoring health of a machine. The method includes monitoring a set of first electrical signals indicative of control of a motor of the machine while the machine is operated in a first autonomous mode, determining that an abnormal operating condition has occurred in response to the set of first electrical signals meeting a first criteria, having the machine operate in a test mode in response to the determination that the abnormal operating condition has occurred, monitoring a set of second electrical signals indicative of control of the motor during the test mode, and determining a fault condition in response to the set of second electrical signals meeting a second criteria.