A control apparatus for controlling an industrial machine includes a deterioration diagnostic unit that has a diagnostic function, which is repeatedly executed at predetermined timing, for diagnosing deterioration of each component of the industrial machine and outputs an alarm signal in response to deterioration equal to or more than a predetermined level in each component, an alarm control unit that outputs a stop command to the industrial machine based on the alarm signal and informs that the industrial machine is in an alarm stop state, and a cancellation operation receiving unit that receives the cancellation operation for cancelling the alarm stop state regardless of deterioration of each component. The deterioration diagnostic unit cancels the alarm stop state brought on by the diagnostic function based on the cancellation operation, and allows the industrial machine to operate until the diagnostic function is executed next.

A system for monitoring the state of health of a monitored aircraft engine comprises an anomaly detection unit which analyses engine operating parameters and raises an alarm if a result of the analysis of one of the engine operating parameters crosses a threshold, the alarm being associated with a probability of a given type of engine damage occurring. The system further comprises an engine operating conditions monitoring unit which determines a state of wear of the engine, and an alarm corroboration unit which weights the said probability of occurrence by the determined state of wear. The invention is applicable to the preventive maintenance of turbomachines.

A twin roll casting system includes a pair of counter-rotating casting rolls having an adjustable nip therebetween, a casting roll controller configured to adjust the nip between the casting rolls in response to control signals; a cast strip sensor measuring a parameter of the cast strip and generating strip measurement signals; and an iterative learning control (ILC) controller receiving the strip measurement signals and providing control signals to the casting roll controller. The ILC controller includes a fault detection algorithm receiving the control signals and the strip measurement signals and generating a fault detection signal indicating when a fault condition is detected and an iterative learning control algorithm to generate the control signals. The fault detection algorithm indicates a fault condition when it detects the control signal exceeding an upper control saturation threshold or the ILC controller operating a state that is not guaranteed as stable.

A method is disclosed herein of detecting at least one frozen period in at least one sensor dataset associated with at least one sensor in a technical system. The method includes receiving the at least one sensor dataset in time series and computing run-lengths for the at least one sensor dataset, wherein each of the run-lengths is length of consecutive repetitions of a sensor value in the at least one sensor dataset. The method includes clustering the run-lengths into one of two clusters based on a run frequency, wherein the run frequency is a number of times the run-lengths are repeated in the at least one sensor dataset. Further, the method includes identifying a cluster from the two clusters with lower run frequency and detecting the at least one frozen period in the at least one sensor dataset based on the identified cluster.

A method of salvaging an output is provided. The method includes defining a condition for terminating a run of a tool, checking whether the condition is likely to be met during a running of the tool, terminating the running in an event the condition is likely to be met, checking a validity of an incomplete output of the tool generated during the running and finalizing the incomplete output in an event the incomplete output is valid.

A measurement system for a gas turbine engine is provided. The measurement system comprises a sensor assembly. The measurement system also includes multiple sensors coupled to the sensor assembly. The sensor assembly is configured to be removably inserted within a space defined by a circumferential track embedded within an inner diameter of a casing of the gas turbine engine without having to disassemble the casing.

According to some embodiments, system and methods are provided including receiving, via a communication interface of an event detection and classification module comprising a processor, data from one or more sensors in a system; determining an event occurred based on the received data; applying a coherency similarity process to the received data via a classification module; determining whether the event is an actual event or a mal-doer event based on an output of the classification module; transmitting the determination of the event as the actual or the mal-doer event; and modifying operation of the system based on the transmitted output. Numerous other aspects are provided.

A quality control device that controls quality of a product manufactured through a plurality of processes, includes a prediction model generation unit that generates a prediction model to predict quality of a product with respect to unknown process data by performing learning using known process data obtained from the plurality of processes and a measured value of quality of the product with respect to the known process data as learning data; a quality prediction unit that derives a predictive value of quality of each of a plurality of products, which are manufactured after the prediction model is generated, on the basis of the prediction model using process data of the plurality of products as input data; and an inspection target decision unit that decides the product for which the predictive value having the smallest margin with respect to a preset standard is obtained as an inspection target, among the plurality of predictive values of quality obtained by the quality prediction unit.

A technique enables control parameter adjustment with a more accurate estimated inertia ratio for multiple servomotors. An adjustment support apparatus (9) supports adjustment of inertia ratios as control parameters for servo drivers (5, 6) that drive multiple servomotors. The adjustment support apparatus (9) includes an inertia ratio obtainer (91) that obtains inertia ratios estimated by inertia ratio estimators (52, 62) included in the servo drivers (5, 6) and an inertia ratio setting control unit (92) that synchronizes inertia ratio settings and updates between the servo drivers (5, 6).

A plant management method includes: acquiring correlation information indicating a correlation between a component subjected to a cyberattack and a component to be possibly affected by the cyberattack when a plant including a plurality of components is subjected to the cyberattack; and zoning the plurality of components on the basis of the correlation information.