G01N2021/8854

INSPECTION SUPPORT DEVICE, INSPECTION SUPPORT METHOD, AND INSPECTION SUPPORT PROGRAM
20230003663 · 2023-01-05 · ·

A processor of the inspection support device acquires an image obtained by imaging a structure to be inspected and detects damage to the structure on the basis of the acquired image. In a case where two or more types of damage (cracking B and linear free lime C.sub.2) to the structure are detected, the processor determines whether or not two or more types of damage are detected from the same or adjacent positions. In a case where determination is made that the cracking B and the linear free lime C.sub.2 are detected from the same or adjacent positions when the processor outputs the damage detection result (a damage image, a damage diagram, and the like), the processor preferentially outputs a damage detection result of the linear free lime C.sub.2 in accordance with a priority of a damage type (FIG. 16A and FIG. 16B).

SYSTEM FOR AUTOMATIC DIAGNOSTICS AND MONITORING OF SEMICONDUCTOR DEFECT DIE SCREENING PERFORMANCE THROUGH OVERLAY OF DEFECT AND ELECTRICAL TEST DATA

Systems and methods for determining a diagnosis of a screening system are disclosed. Such systems and methods include identifying defect results based on inline characterization tool data, identifying electrical test results based on electrical test data, generating one or more correlation metrics based on the defect results and the electrical test results, and determining at least one diagnosis of the screening system based on the one or more correlation metrics, the diagnosis corresponding to a performance of the screening system.

Systems and methods for synthesizing a diamond using machine learning

Disclosed herein are systems and methods for synthesizing a diamond using a diamond synthesis machine. A processor receives a plurality of images of a diamond during synthesis within a diamond synthesis machine, each of the plurality of images captured within a time period. The processor executes a diamond state prediction machine learning model using the plurality of images to obtain a predicted data object, the predicted data object indicating a predicted state of the diamond within the diamond synthesis machine at a time subsequent to the time period. The processor detects a predicted defect, a number of defects, defect types, and/or sub-features of such defects and/or other characteristics (e.g., a predicted shape, size, and/or other properties of predicted contours for the diamond and/or pocket holder) of the predicted state of the diamond. The processor adjusts operation of the diamond synthesis machine.

METHOD OF CONDITION MONITORING ONE OR MORE WIND TURBINES AND PARTS THEREOF AND PERFORMING INSTANT ALARM WHEN NEEDED
20230213021 · 2023-07-06 ·

Disclosed is a method of condition monitoring a WTG (Wind Turbine Generator) comprising acts of collecting and storage of at least the following data sets together with their time stamps. Collection of generator power production measurements. Collection of mechanical status measurements. Collection of generator torque measurements. Collection of nacelle direction measurements. Collection of meteorological conditions measurements. The method compromises a further act of synchronizing the data sets. The invention also relates to a system for condition monitoring a WTG. The invention further relates to a system for visually inspecting a WTG.

DEVICE CONDITION DETERMINATION
20230011330 · 2023-01-12 · ·

Aspects of the subject disclosure may include, for example, an apparatus capable of determining a subject device's condition. Images of the subject device may be compared to reference images to determine the device's condition. Functionality of the subject device may be verified to determine the subject device's condition. The subject device may be classified in one or more condition classes according to the determined condition. Other embodiments are disclosed.

Method and System for Determining a Level of a Sanding Surface Preparation of a Carbon Fiber Composite Surface Prior to a Post-Processing Operation
20230211460 · 2023-07-06 · ·

There is provided a quantitative method for determining a level of a sanding surface preparation of a carbon fiber composite surface, prior to the carbon fiber composite surface undergoing a post-processing operation. The quantitative method includes fabricating a ladder panel of levels of sanding correlating to an amount of sanding of sanding surface preparation standards for a reference carbon fiber composite surface of reference carbon fiber composite structure(s); using surface analysis tools to create target values for quantifying the levels of sanding; measuring, with the surface analysis tools, sanding surface preparation location(s) on the carbon fiber composite surface of a test carbon fiber composite structure, to obtain test result measurement(s); comparing the test result measurement(s) to the levels, to obtain test result level(s); determining if the test result level(s) meet the target values; and determining whether the carbon fiber composite surface is acceptable to proceed with the post-processing operation.

Method of condition monitoring one or more wind turbines and parts thereof and performing instant alarm when needed

Disclosed is a method of condition monitoring a WTG (Wind Turbine Generator) comprising acts of collecting and storage of at least the following data sets together with their time stamps. Collection of generator power production measurements. Collection of mechanical status measurements. Collection of generator torque measurements. Collection of nacelle direction measurements. Collection of meteorological conditions measurements. The method compromises a further act of synchronizing the data sets. The invention also relates to a system for condition monitoring a WTG. The invention further relates to a system for visually inspecting a WTG.

SYSTEM AND METHOD FOR IMAGE ANALYSIS FOR PHYSICAL DEFECT DETECTION OF A STORAGE MEDIUM
20220405914 · 2022-12-22 ·

A system for image analysis for physical defect detection of a storage medium of a first card that comprises an apparatus configured to receive the storage medium of the first card and a first server configured to verify issuance of a second card. The apparatus comprises an optical sensor comprising a light transmitter, a receiver, and a first processor. The optical sensor is configured to produce a light to be directed to the storage medium and to determine that the storage medium comprises a physical defect with the first processor based at least in part upon processed electronic signals. The apparatus further comprises a second processor configured to display outputs requesting authorization to issue the second card. The first server is configured to verify issuance of the second card, wherein the first server is communicatively coupled to the apparatus.

SURFACE INSPECTION APPARATUS, NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM, AND SURFACE INSPECTION METHOD

A surface inspection apparatus includes an imaging device configured to image a surface of an object to be inspected, and a processor configured to: calculate a numerical value representing a quality of the surface by processing an image captured by the imaging device, and notify a user of information indicating a relationship between a first orientation of a pattern on the surface detected from the image and a second orientation that gives a direction of imaging in which a sensitivity of detection by the imaging device is high.

METHODS AND SYSTEMS FOR DETECTING A DEFECT OF A FILM
20220381699 · 2022-12-01 · ·

The present disclosure provides a method for detecting a defect of a film. The method includes obtaining a film image, determining one or more pieces of scratch information corresponding to the film image through processing the film image using a recognition model, the recognition model includes a convolution layer, a regression layer, and a classification layer, determining whether each piece of scratch information in the one or more pieces of scratch information meets a preset condition, each piece of scratch information includes position information, angle information, and size information, in response to a determination that each piece of scratch information meets the preset condition, adding one or more pieces of annotation information to the one or more pieces of scratch information that meets the preset condition, and generating prompt information based on the one or more pieces of annotation information.