A method and system for linking sensor data to metrology data and metrology data to sensor data is described herein. In one embodiment, a user selection of metrology data for a product is received, related process tool fault detection summary for the selected metrology data for the product is presented, a user selection of a process tool from the process tool fault detection summary is received, and related fault detection details for the selected process tool are presented.

Systems and methods are provided for monitoring equipment in a semiconductor manufacturing facility. A processing device maintains baseline measurement record generated from measurements performed by a plurality of tools over a first time range. A measurement record is received, the measurement record corresponding to a measurement performed on a wafer, the wafer having been processed by a first tool of the plurality of tools. The measurement record is stored in a drift candidate table corresponding to a second time range. A determination is made as to whether the measurement record satisfy a set of excursion rules in view of the drift candidate table, and, in response to the determination, the measurement record is stored in an alert table.

The present invention provides a defect classification system including imaging means for causing an imaging device to image paper that has passed through a dry part and acquiring image data obtained by the imaging, detection means for detecting a defect in the paper in the image data, extraction means for extracting a feature amount of the defect, calculation means for causing a classification model in which a reference feature amount is previously set to calculate a certainty factor in a defect cause item on the basis of the feature amount of the defect, and display means for displaying the certainty factor, in which the classification model is caused to learn the reference feature amount using machine learning from a relationship between respective feature amounts of defects previously stored and a plurality of defect cause items.

A sorting method automatically sorts workpieces produced in a flatbed machine tool according to a scheduled sorting process by a sorting device. The method includes: providing at least one piece of process information created as a result of manufacturing of the workpieces; analyzing the at least one piece of process information, such that it is determined whether there is a sorting disruption; and upon determining that there is the sorting disruption, automatically modifying the sorting process.

Automatic process control of additive manufacturing. The system includes an additive manufacturing device for making an object and a local network computer controlling the device. At least one camera is provided with a view of a manufacturing volume of the device to generate network accessible images of the object. The computer is programmed to stop the manufacturing process when the object is defective based en the images of the object.

A power distribution unit and a fault detecting method applied in the power distribution unit are disclosed herein. The power distribution unit includes an input terminal, an insulation fault detection circuit and a processing circuit. The input terminal is electrically coupled to a positive power line and a negative power line, and configured to receive a high voltage direct current (HVDC) voltage. The insulation fault detection circuit is configured to detect an insulation resistance value between a ground terminal and the positive power line or the negative power line. The processing circuit is configured to output a warning signal according to the insulation resistance value.

A method of producing a set of parts which may be assembled to form a product generally consisting of programming a CNC machine to selectively execute a first routine to form a set of parts from a first panel of material, and generate a map of the layout of the parts on the first panel, provided with identifying indicia, and a set of labels each provided with machine readable indicia identifying the part and operator readable indicia permitting the operator to identity the part on the map, and a second routine to form selected ones of the set of parts from a second panel of material, loading the first panel on the machine, operating the machine to execute the first routine, attaching each of the generated labels to its corresponding formed part, matching identifying indicia on generated labels and map, removing the set of labeled parts from the worktable, identifying labeled parts deemed defective, machine scanning the machine readable indicia on the labels of produced parts deemed defective, loading a second panel of material on the machine, operating the machine to execute the second routine to reproduce the defective parts and replacing the defective parts with reproduced parts.

A plurality of production facilities and an analysis apparatus are connected through a fog network. The analysis apparatus performs a data analysis based on detection information of detectors acquired through the fog network and stores determination information relating to an abnormality of each of the plurality of production facilities or an abnormality of a production object as a result of the data analysis. Each of the plurality of production facilities determines an abnormality of the each of the plurality of production facilities or an abnormality of the production object based on the determination information stored in the analysis apparatus.

Targeted distributing of reports containing historical process control information to particular user devices via a communications network. A curating service permits assigning a score to each report based on an interest level value of the historical process control information to a user associated with each user device and/or an urgency value of the historical process control information. Routing reports to user devices based on the score raises visibility of the historical process control information without overburdening the communications network.

A method for protection and diagnosis of a linear compression (2), the linear compressor (2) including at least one electronic control (11), the protection method being configured to perform the following steps at each work cycle of the linear compressor (2): detecting a suction time (t.sub.s) of the linear compressor (2); detecting a compression time (t.sub.c) of the linear compressor; calculating, after the step of detecting a compression time (t.sub.c) of the linear compressor, a decision parameter (T) equivalent to the difference between the previously detected suction time (t.sub.s) and the compression time (t.sub.c).