Provided is a servo controller that can prevent an unnecessary cut from being generated in a workpiece during oscillation machining. A servo controller 20 includes: an oscillation command generating unit 23 that generates an oscillation command for causing a workpiece W and a tool 11 to relatively oscillate; a position deviation estimating unit 31 that estimates an estimated position deviation from a moving command for causing the workpiece W and the tool 11 to relatively move; an adder that applies the oscillation command to a position deviation based on the moving command; a subtractor that deducts the estimated position deviation from a position deviation to which the oscillation command is applied; and a learning control unit that calculates a compensation amount from a position deviation based on the moving command after deducting the estimated position deviation.

An apparatus and method for monitoring a quality of an object of a 3D-print job series of identical objects, each object built from a multitude of stacked 2D-layers printed by a 3D-printer in an additive manufacturing process, including: determining a layer quality indicator of a currently printed layer of an object, comparing the determined layer quality indicator of the currently printed layer with a predetermined lower confidence limit of the layer, the predetermined lower confidence limit being calculated depending on layer quality indicators of previously completely manufactured objects complying with predefined quality requirements, and generating a warning signal, if the layer quality indicator of the currently printed layer has a value equal or lower than the lower quality limit is provided.

A numerical control system includes an image processing device that performs image processing on images captured by an imaging device and a numerical controller. The numerical controller includes a program analysis unit and a storage unit that stores operation control information of the machine, the imaging device, and the image processing device in a format that can be read and written by the program analysis unit. The numerical control system includes a conversion unit that converts commands or the operation control information stored in the storage unit to image processing input items which are setting values of a format that can be recognized by the imaging device and the image processing device and converts image processing output items which are the results of the image processing from the image processing device to operation control information of a format that can be recognized by the program analysis unit.

Various embodiments of the present technology provide an integrated platform that provides acceleration tools that can be used across multiple lifecycle phases of an industrial automation system to assist users in various lifecycle phases of an industrial automation system. In accordance with various embodiments, the integrated platform can take historical designs and provide various acceleration actions (e.g., initial designs, answering specific questions, expert analysis, etc.) for a current system. Various embodiments can use a common, cross-platform data file that links activity and efficiently provides needed information to a user. Some embodiments provide and manage reviews of layouts or designs by experts (e.g., individuals and expert systems) to aid in identifying needed changes to the design or system.

A control device for a machine tool includes an oscillation command generation part which generates an oscillation command for a fees axis, a first adding part which adds an oscillation command to a position deviation between a position command and the detected position of the fees axis to generate a resultant command, a normalization part for normalizing the resultant command, a learning control part that obtains a correction amount of the resultant command based on an oscillation phase obtained from the oscillation command and a normalized resultant command and which adds the correction amount to the resultant command, a denormalization part which denormalizes an output from the learning control part, and a second adding part for adding a denormalized output from the denormalization part to the resultant command.

A numerical control system includes an image processing device that performs image processing on images captured by an imaging device and a numerical controller. The numerical controller includes a program analysis unit and a storage unit that stores operation control information of the machine, the imaging device, and the image processing device in a format that can be read and written by the program analysis unit. The numerical control system includes a conversion unit that converts commands or the operation control information stored in the storage unit to image processing input items which are setting values of a format that can be recognized by the imaging device and the image processing device and converts image processing output items which are the results of the image processing from the image processing device to operation control information of a format that can be recognized by the program analysis unit.

An apparatus for controlling a system including a plurality of sources of signals causing a plurality of events includes an input interface to receive signals from the sources of signals, a memory to store a neural network trained to diagnose a control state of the system, a processor to submit the signals into the neural network to produce the control state of the system, and a controller to execute a control action selected according to the control state of the system. The neural network includes a sequence of layers, each layer includes a set of nodes, each node of at least an input layer and a first hidden layer following the input layer corresponds to a source of signal in the system. A pair of nodes from neighboring layers corresponding to a pair of different sources of signals are connected in the neural network only when a probability of subsequent occurrence of the events in the pair of the different sources of signals is above a threshold, such that the neural network is a partially connected neural network.

A control device for a machine tool includes an oscillation command generation part which generates an oscillation command for a fees axis, a first adding part which adds an oscillation command to a position deviation between a position command and the detected position of the fees axis to generate a resultant command, a normalization part for normalizing the resultant command, a learning control part that obtains a correction amount of the resultant command based on an oscillation phase obtained from the oscillation command and a normalized resultant command and which adds the correction amount to the resultant command, a denormalization part which denormalizes an output from the learning control part, and a second adding part for adding a denormalized output from the denormalization part to the resultant command.

Provided is a production control system of a factory including: a plurality of machines; an air conditioner; a power computation unit for monitoring power consumption of an entire factory; a temperature information generation unit for generating information on temperature inside the factory; wherein running status and processing condition of the machines and running status of the air conditioner are controlled to produce the products dictated by the production plan by a delivery deadline; and a machine learning unit that learns a relationship of operational status including the running status and the processing condition of the machines and the running status of the air conditioner to environmental status including production completion time according to the operational status, the temperature inside the factory, and the power consumption of the factory, and outputs operational status that brings the environmental status to a desired condition in accordance with the production plan.

An apparatus and method for monitoring a quality of an object of a 3D-print job series of identical objects, each object built from a multitude of stacked 2D-layers printed by a 3D-printer in an additive manufacturing process, including: determining a layer quality indicator of a currently printed layer of an object, comparing the determined layer quality indicator of the currently printed layer with a predetermined lower confidence limit of the layer, the predetermined lower confidence limit being calculated depending on layer quality indicators of previously completely manufactured objects complying with predefined quality requirements, and generating a warning signal, if the layer quality indicator of the currently printed layer has a value equal or lower than the lower quality limit is provided.