Abstract: A computer is provided with a geometric representation of an as-designed part and a set of hybrid manufacturing capabilities. The computer computes a set of additive and subtractive manufacturing primitives from the provided set of hybrid manufacturing capabilities, and intersects the primitives to generate an atomic decomposition of space. The computer uses the atomic decomposition to generate a non-geometric representation of a space of manufacturable parts with hybrid manufacturing capabilities in at least one of symbolic, logical, and combinatorial forms. At least one of a necessary, sufficient, or necessary-and-sufficient condition for manufacturability is tested via examining the non-geometric representation for the existence of at least one feasible process plan whose outcome is an as-manufactured part that is interchangeable with the as-designed part.

Abstract: A machine control device includes: a diagnostic test time calculation unit that calculates a scheduled execution time of a diagnostic test; a program execution time prediction unit that predicts a predicted ending time of a program before executing the program; a diagnostic test execution determination unit that determines whether to execute the diagnostic test at a predetermined time, by determining whether the predicted ending time of the program exceeds the scheduled execution time of the diagnostic test, and a diagnostic test execution unit that executes the diagnostic test, in which, in a case in which the predicted ending time of the program exceeds the scheduled execution time of the diagnostic test, the diagnostic test execution determination unit instructs the diagnostic test execution unit to execute the diagnostic test prior to the scheduled execution time of the diagnostic test before executing the program.

Abstract: A failure prediction model generating apparatus and method thereof are provided. The failure prediction model generating apparatus includes a memory configured to store a plurality of failure prediction models derived previously; and a processor configured to predict a failure of the plant, wherein the processor is configured to collect data measured from the plant, select at least one failure prediction model from among the plurality of failure prediction models using the collected data, and predict a failure of the plant using the selected failure prediction model.

Abstract: A method, electronic device and system are provided for collecting information associated with operational changes made by plant operators. Episodes of operational changes are identified that include a triggering event and the operational changes performed are reviewed and compared to standard operating data or historical data. The operational changes that differ from such standard operating data or historical data are classified as inadvertent operations based upon a set of pre-determined characteristics. Training may follow to avoid recurrence of such inadvertent operations in the future.

Abstract: A machine for producing disposable products anticipates when a current run of a product size is coming to an end, and therefore begins loading of material rolls intended for the next product size or code that will be run. An integrated production facility layout automatically orders and stocks raw material based on production plans, and commands a production machine to produce specific products of differing configurations, and automatically loads appropriately sized raw materials into the process.

Abstract: A method of temporal anomaly detection includes accessing sensor data readings obtained at a monitored industrial asset, performing a data cleanup operation on at least a portion of the accessed sensor data readings, transforming at least the cleaned-up portion of the accessed sensor data readings to time series feature space sensor data, applying a multi-kernel-based projection algorithm to the time series feature space sensor data, computing a respective anomaly score and a respective ranking for one or more variables of the sensor data readings, and providing at least the computed respective anomaly score or the respective ranking for at least one of the one or more variables to a user. Ranking the anomaly score includes comparing each anomaly score to a threshold and then assigning a ranking to scores with a magnitude greater than the threshold based on its magnitude. A system and a non-transitory computer-readable medium are also disclosed.

Abstract: The invention relates to a method for determining the geometry of a raw part, which is shaped to form a finished part in a hydroerosive grinding method, comprising the following steps: (a) creation of a structural model of the finished part to be produced, the structural model of the finished part to be produced being used as an initial model for the first execution of the next step (b); (b) mathematical simulation of the hydroerosive grinding method, with which an intermediate model with a modified geometry is produced starting from an initial model; (c) comparison of the intermediate model produced in step (b) with the structural model of the finished part and determination of the distance, orthogonal to the surface of the structural model of the finished part, between the structural model of the finished part to be produced and the intermediate model at each node of the structural model, and comparison of the orthogonal distance with a predetermined limit value; (d) creation of a modified model of the comp

Abstract: The present disclosure discloses a method, system and device for replaying movement of a robot. In an embodiment, the method includes a controller receiving a log file in which information about a movement of the robot is recorded; the controller obtaining information of position points passed by the robot when performing the movement based on the log file; and the controller sending the information of position points passed by the robot when performing the movement to a replaying device, to enable the replaying device to replay the movement of the robot according to the information of position points. The technical solutions of the present disclosure may increase the accuracy of locating where the problem is when errors or something unexpected happened to the robot.

Abstract: An automatic milking machine controlled by a control unit that, in response to a control request from a first remote user terminal that indicates an intention to initiate transmission of control commands and/or parameter settings, checks whether at least one control command and/or parameter setting from a second remote user terminal has been received within a particular interval preceding a point in time when the control request was received, and if so, returns status data to the first remote user terminal that indicate an identity of the second remote user terminal so that, based thereon, an operator of the first remote user terminal can decide whether or not to remote control the milking machine at the present point in time.

Abstract: To provide a data processing device of production equipment that can generate data usable by an operator or an administrator by performing processing for a collected plurality of types of data. A data processing device includes a reference-data acquiring unit configured to acquire, in production equipment, reference data including information concerning time in which a reference for grouping of data operates, a target-data acquiring unit configured to acquire target data concerning a state of the production equipment detected by detectors provided in the production equipment, and a combined-data generating unit configured to generate, for each group of the reference data, combined data for each group obtained by combining, with the reference data, data detected in the same period of time as an operation period of time of the reference data in the target data.

Abstract: A method is provided for automatically or semi-automatically analyzing process hazards and validating protection mechanisms for an industrial process. The method can involve establishing communication between a simulation tool and a process hazard analysis tool. The simulation tool simulates operation of the process according to a process model. The method can further involve creating, using the process hazard analysis tool, conditions for hazards in the process based on information learned about the industrial process from the simulation tool; for each of the hazards, simulating the hazards using the simulation tool and attempting to prevent the hazards using the process hazard analysis tool by introducing protective mechanism(s) to the process; and evaluating effectiveness of the introduced protective mechanisms for each of the hazards and creating safety requirements for the process based on the evaluated effectiveness.

Abstract: An estimating device includes a storage unit that stores in association with each other state history information showing, as a history, a state of electrical equipment in which an abnormality has occurred, and cause history information showing, as a history, a cause of the abnormality, an acquisition unit that acquires state information indicating the state of the electrical equipment in which the abnormality has occurred, a detection unit that detects, from among a plurality of the state history information stored in the storage unit, at least one of the state history information that is similar to the state information acquired by the acquisition unit, and a notification unit that issues a notification concerning the cause of the abnormality, on the basis of the cause history information that is associated with the state history information detected by the detection unit.

Abstract: An air conditioner, as provided herein, may include a cabinet, an outdoor heat exchanger, an indoor heat exchanger, a compressor, an internal temperature sensor, and a controller. The controller may be configured to initiate a conditioning operation. The conditioning operation may include detecting a learning condition at the air conditioner, identifying a first operating mode, and initiating a learning event at the first operating mode. The conditioning operation may further include measuring performance during the learning event, recording a baseline variable based on the measured performance during the learning event, and measuring performance at the first operating mode.

Abstract: To provide a diagnostic service system and diagnostic method using a network. A factory monitoring system (100) comprises a factory monitoring system (100) which includes: a data acquisition unit (1011) that acquires data related to at least one machine, including time information; and a stored data management unit (1012) that stores data related to each machine acquired by the data acquisition unit in a storage unit (1002) together with identification information of each machine, wherein, based on past history data related to the machine and current data related to the machine, the diagnostic service system (1) predicts a possibility of abnormality occurrence in the machine, and provides preventative maintenance information related to the machine.

Abstract: A method and a device for the functional testing and evaluation of a control system. The method for functional testing of sensors, actuators, and/or a control logic system of a control system controlled in at least a partly automated manner has the following: sending at least one stimulus to a sensor, an actuator, and/or to the control logic system of the control system; reading out at least one reaction of the control system from the sensor, from the actuator, from the control logic system, and/or from a connection between these components; and using a metric module to compare the reaction with a stored expected reaction, the metric module determining a metric according to which deviations of the read-out reaction from the expected reaction are to be evaluated with respect to the intended function of the control system.

Abstract: An optimization controller for a battery includes a high level controller configured to receive a regulation signal from an incentive provider cat a data fusion module, determine statistics of the regulation signal, and use the statistics of the regulation signal to generate a frequency response midpoint. The optimization controller further includes a low level controller configured to use the frequency response midpoint to determine optimal battery power setpoints and use the optimal battery power setpoints to control an amount of electric power stored or discharged from the battery during a frequency response period.

Abstract: A method is provided for automatically or semi-automatically analyzing process hazards and validating protection mechanisms for an industrial process. The method can involve establishing communication between a simulation tool and a process hazard analysis tool. The simulation tool simulates operation of the process according to a process model. The method can further involve creating, using the process hazard analysis tool, conditions for hazards in the process based on information learned about the industrial process from the simulation tool; for each of the hazards, simulating the hazards using the simulation tool and attempting to prevent the hazards using the process hazard analysis tool by introducing protective mechanism(s) to the process; and evaluating effectiveness of the introduced protective mechanisms for each of the hazards and creating safety requirements for the process based on the evaluated effectiveness.

Abstract: An abnormality detection device of a machine tool includes a plurality of vibration sensors mounted on a body of the machine tool at a plurality of positions; and a determination portion that determines an operation condition of the machine tool based on vibration information detected by the vibration sensors. The abnormality detection device detects abnormality of the machine tool according to determination information of the determination portion. The determination portion specifies a predetermined item whose machining accuracy lowers based on the mounted position of the vibration sensor that has detected abnormal vibration.

Abstract: A micro grid system comprises a secondary energy source and a power controller. The secondary energy source is associated with the micro grid, and the secondary energy source is configured to generate first DC power signal. The power controller is in communication with the secondary energy source and an electric grid, and configured to receive first AC power signal from the electric grid and the first DC power signal from the secondary energy source and to output a second AC power signal to loads in communication with the power controller. The power controller comprises a frequency converter configured to change frequency of the second AC power signal, a processor, and a memory configured to store instructions that, when executed, cause the processor to control the frequency converter to change the frequency of the second AC power signal.

Abstract: A building system for detecting faults in an operation of building equipment. The building system comprising one or more memory devices configured to store instructions thereon that cause one or more processors to perform a cumulative sum (CUSUM) analysis on actual building data and corresponding predicted building data to obtain cumulative sum values for a plurality of times within a first time period; determine a first time at which a first cumulative sum value is at a first maximum; identify a second cumulative sum value at a second maximum at a second time occurring after the first time; compare the identified second cumulative sum value to a threshold; and based on determining that the identified second cumulative sum value does not exceed the threshold, determine that a first fault ended at the first time.