A system and method for real-time detection of anomalies in a motor drive includes a controller receiving one or more signals corresponding to real-time operation of a controlled system. The controller samples the real-time signal during operation of the controlled system and maintains a moving window of the sampled data. A signature of the sampled data within the moving window is then generated. Each signature corresponds to operation of the controlled system within the period of time defined by the moving window. An identifier and a number of occurrences of each signature may be stored with the signature. An initial table of expected signatures may be generated, for example, by executing a training, or learning, period within the control system. The controller compares each real-time signature against the table of expected signatures to detect the occurrence of an anomaly.

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 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.

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.

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 tool management system of a machine tool capable of determining an appropriate time to replace a tool used by a machine tool is provided. The tool management system includes: at least one detection unit among: a vibration detection unit attached to a spindle that supports a tool of a machine tool to detect vibration; a sound detection unit provided in the vicinity of the spindle to detect acoustic waves produced during operation of the machine tool; and a servo motor current value detection unit that detects a current value of a servo motor of a driving device of the 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.

Provided is a state prediction apparatus that predicts a state of the plasma processing apparatus, a first set of features that indicates the state of the plasma processing apparatus is determined based on monitored data of the plasma processing apparatus in a normal state, a second set of features that indicates the state of the plasma processing apparatus is determined based on monitored data of the plasma processing apparatus, the features in the second set are calculated by using the features in the first set, a model that predicts the state of the plasma processing apparatus is generated by using a subset of the first set of features, which is composed of the same kind of features selected in descending order of the calculated features in the second set, and the state of the plasma processing apparatus is predicted by using the generated model.

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.

A method for generating unique identifiers for programmable mobile machines may include (1) receiving data for generating a unique signature and (2) generating the unique signature based on the data. The unique signature may identify a programmable mobile machine from among a group of programmable mobile machines within a machine environment. A corresponding method for tracking unique identifiers for programmable mobile machines may include (1) receiving a unique signature generated by a programmable mobile machine, (2) associating the unique signature with metrics, in a database, that correspond to identification data for each of a group of programmable mobile machines, and (3) determining an identity of the programmable mobile machine based on the unique signature matching at least one of the metrics in the database. Various other methods and systems are also disclosed.

A method for generating unique identifiers for programmable mobile machines may include (1) receiving data for generating a unique signature and (2) generating the unique signature based on the data. The unique signature may identify a programmable mobile machine from among a group of programmable mobile machines within a machine environment. A corresponding method for tracking unique identifiers for programmable mobile machines may include (1) receiving a unique signature generated by a programmable mobile machine, (2) associating the unique signature with metrics, in a database, that correspond to identification data for each of a group of programmable mobile machines, and (3) determining an identity of the programmable mobile machine based on the unique signature matching at least one of the metrics in the database. Various other methods and systems are also disclosed.