A method of the present disclosure includes (a) retrieving from a memory a plurality of measured values of the factor variable, and a label indicating good or bad of the quality corresponding to each of the plurality of measured values, (b) dividing a factor variable space defined by the factor variable into a plurality of grids by equally dividing a range determined by a maximum value and a minimum value of the plurality of measured values for each factor variable, (c) setting a plurality of candidate areas each of which includes one grid or a plurality of adjacent grids, and deriving, for each of the plurality of candidate areas, a good density based on the label associated with the measured value that is within the candidate area, and (d) selecting one of the plurality of candidate areas as the factor variable area, based on the good density.

Embodiments disclosed herein comprise a sensor. In an embodiment, the sensor comprises a substrate having a first surface and a second surface opposite from the first surface. In an embodiment, the sensor further comprises a first electrode over the first surface of the substrate, and a second electrode over the first surface of the substrate and adjacent to the first electrode. In an embodiment, the sensor further comprises a barrier layer over the first electrode and the second electrode.

Aspects of the disclosed technology provide a computational model that utilizes machine learning for detecting errors during a manual assembly process and determining a sequence of steps to complete the manual assembly process in order to mitigate the detected errors. In some implementations, the disclosed technology evaluates a target object at a step of an assembly process where an error is detected to a nominal object to obtain a comparison. Based on this comparison, a sequence of steps for completion of the assembly process of the target object is obtained. The assembly instructions for creating the target object are adjusted based on this sequence of steps.

Provided are a system, method, and computer program product for optimizing a manufacturing process. The method includes receiving manufacturing data associated with a manufacturing process for manufacturing a product. The manufacturing data may include data from a plurality of data sources associated with a plurality of stages of the manufacturing process, and the manufacturing data may include values for a plurality of parameters including at least one process parameter value and at least one quality parameter value. The method includes generating a time-sequenced data structure including the manufacturing data and transforming the time-sequenced data structure to a positionally-dimensioned data structure based on timing data associated with the plurality of stages. The method includes determining a new value for the at least one process parameter value based on the positionally-dimensioned data structure and at least one algorithm and optimizing the manufacturing process based on the new value.

To reduce the disadvantage caused by low communication quality. A control system includes a controller configured to control an industrial machine, and a terminal device configured to communicate with the controller. The control system includes a communication quality measurement unit configured to measure as index indicating communication quality between the controller and the terminal device, a communication quality determination unit configured to determine the communication quality between the controller and the terminal device on the basis of the index measured by the communication quality measurement unit, a display unit configured to display an operation screen image for the controller, and a display control unit configured to control a display item of the operation screen image to be displayed on the display unit on the basis of result determined by the communication quality determination part.

A computer-implemented method of automatically generating inspection templates of a plurality of known good fasteners to identify fasteners at an inspection station is provided. The method includes providing a data entry mechanism to provide content needed to identify a plurality of unidentified mixed fasteners. The method also includes storing the content in a database, extracting the content from the database and creating the inspection templates from the extracted content. Each of the templates including a fastener profile and a set of features. Each of the features includes a range of acceptable values. Each of the templates has a fastener identification code associated therewith.

A system for verifying quality of a part using an arm robot includes an arm robot, which includes a camera to acquire image data of a part assembled in each manufacturing process of a vehicle, a carrier, which includes a sliding rail allowing the arm robot to be movable around the vehicle along the sliding rail to acquire the image data, and a server which receives the image data acquired by the camera, compares the image data with modeling data of the vehicle, which is stored in a database, and determines whether the assembled part satisfies a preset inspection item, to verify quality of the assembled part, verifying the quality of the part in each process before the vehicle is completely manufactured.

A method for computer analysis of a quality of an as-programmed surface of a composite laminate. A first data set representing an as-programmed top surface is generated based on as-programmed ply definitions and a tool surface definition. Thereafter, a second data set representing coordinates of points of a first mesh on the as-programmed top surface is generated, which points form a first mesh. Then a third data set representing coordinates of points of a second mesh on a defined tool surface is generated. A respective angle of each mesh element of the first mesh relative to a corresponding mesh element of the second mesh is then calculated. Each angle is compared to a threshold of acceptable angle. In response to an acceptable number of angles exceeding a threshold of acceptable angle, a tow placement machine may be programmed to fabricate a composite structure using the as-programmed ply definitions.

Disclosed herein are a communication system, a monitoring system for in-situ monitoring of a substance used in a gas scrubbing process, and related methods. The monitoring system can be used to monitor the at least one substance and provide treatment data for treating the at least one substance. The communication system includes a cloud server, a first server, a second server, and a third server. The first and second servers respectively include first and second communication interfaces configured to provide spectral information to the cloud server.

The cloud server is configured to generate a calibration model including at least one parameter; apply the calibration model to the spectral information provided by the second server, whereby at least one value for the at least one parameter is extracted; and provide the at least one value for the at least one parameter to the first server via the first communication interface.

A computer-implemented method for providing a trained function for performing a workpiece quality control includes receiving a plurality of training machining datasets, wherein different training high-frequency machining datasets are representative for the quality of different workpieces, transforming the plurality of training machining datasets into the time-frequency domain to generate a plurality of training time-frequency domain datasets, and training a function based on the plurality of training time-frequency domain datasets, wherein the function is based on an autoencoder. The autoencoder has input layers, output layers and a hidden layer. The plurality of training time-frequency domain datasets are provided to the input layers and the output layers during training, and a trained autoencoder function is outputted.