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703results about How to "Effective diagnosis" patented technology

Elevator fault diagnosis and early-warning method based on data drive

The invention relates to the field of elevators. In order to early discover and diagnose A elevator fault, the invention adopts the technical scheme that an elevator fault diagnosis and early-warning method based on data drive is achieved by means of a remote service center, a fault diagnosis and prediction terminal and an elevator controller, and the method comprises the steps as follows: firstly, elevator fault data are mined to obtain characteristic information in an elevator fault data stream, and the mined result is stored in an elevator fault case base of the fault diagnosis and prediction terminal; secondly, an elevator fault knowledge base on the fault diagnosis and prediction terminal is updated by the elevator fault case base; thirdly, the case retrieval is carried out on the characteristic of a new elevator fault problem, and the fault diagnosis is carried out on the elevator system by adopting the fault diagnosis method based on the case-base reasoning; and finally information with the characteristic that is most similar with that of the new elevator fault problem is acquired through retrieval of the knowledge or the case in the elevator fault knowledge base to solve the diagnosis problem. The method is mainly suitable for manufacturing and designing image sensors.
Owner:TIANJIN UNIV

Method of classifying antibody, method of identifying antigen, method of obtaining antibody or antibody set, method of constructing antibody panel and antibody or antibody set and use of the same

It is intended to provide a method whereby a plural number of antibodies against cell surface antigens are quickly classified and to provide a method whereby antigens of the thus classified antibodies are quickly identified. Further, it is intended to provide a method of promoting the utilization of the useful data obtained by the above methods. Furthermore, it is intended to provide an antibody which is effective in treating or diagnosing cancer. Namely, a method of classifying antibodies which comprises: (1) the step of preparing a plural number of antibodies respectively recognizing cell surface antigens; (2) the step of bringing each of these antibodies into contact with a cell of the same species; (3) the step of analyzing each of the cells having been treated in the step (2) by flow cytometry and thus obtaining data indicating the reactivity of each antibody with its cell surface antigen; and (4) the step of comparing the thus obtained data and classifying the individual antibodies depending on the similarity. A method of identifying antigens which further comprises: (5) the step of selecting one to several antibodies from each antibody group formed in the step (4) and identifying antigens thereof; and (6) on the assumption that antigens of the antibodies belonging to a single antibody group are the same or highly related to one another, making relations between the antigens having been identified in the step (5) and the antibody groups to thereby identify the antigens. An antibody against HER1, an antibody against HER2, an antibody against CD46, an antibody against ITGA3, an antibody against ICAM1, an antibody against ALCAM, an antibody against CD147, an antibody against C1qR, an antibody against CD44, an antibody against CD73, an antibody against EpCAM and an antibody against HGFR, each obtained by using the above methods.
Owner:FUJITA HEALTH UNIVERSITY

Electric equipment thermal fault diagnosis method and system and electronic device

ActiveCN107607207AReliable on thermal failureReliable thermal fault diagnosisNeural architecturesPyrometry using electric radation detectorsPower equipmentPower grid
The invention relates to an electric equipment thermal fault diagnosis method and system and an electronic device. The method comprises the following steps: collecting an infrared image of electric equipment and constructing a convolutional neural network model on the basis of the infrared image; inputting a to-be-detected infrared image into the convolutional neural network model; identifying a temperature scale and electric equipment in the infrared image through the convolutional neural network model; generating an RGB value and temperature reference table on the basis of RGB values of pixels points of the identified temperature scale and upper and lower bounds of the temperature scale, extracting an RGB value of the identified electric equipment, comparing the extracted RGB value withRGB values in the RGB value and temperature reference table, and obtaining a temperature result of the identified electric equipment; carrying out diagnosis on the temperature result through a power grid system diagnosis standard, and determining whether thermal faults of the electric equipment occur. The electric equipment is identified in a highly efficient and accurate manner through the convolutional neural network model, the temperature is read accurately through the RGB value, and a power grid system is improved in intelligent level.
Owner:SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI +1

Blood flow image diagnosing device

The present invention provides a blood flow image diagnosis device comprising: a laser beam irradiation system that irradiates an observation region of a body tissue with a laser beam; a light receiving system having a light receiver including a large number of pixels that detects reflected light from the observation region of the body tissue; an image capture section that continuously captures a plurality of images for a specified time that is one or more cardiac beats on the basis of a signal from the light receiver; an image storage section that stores the plurality of images; an arithmetic section that calculates a blood flow rate in the body tissue from the time variation of the output signal of each pixel corresponding to the plurality of the stored images; and a display section that displays the two-dimensional distribution of the calculation result as a blood flow map; wherein the blood flow image diagnosis device has a function for analyzing the blood flow map, the arithmetic section has a function that separates a blood flow of a blood vessel observed in a surface layer in the observation region of the body tissue from a peripheral background blood flow on the basis of a plurality of blood flow map data for a time that is one or more cardiac beats, and the display section has a function that distinguishably displays each blood flow on a blood flow map. The blood flow image diagnosis device has an additional function for diagnosing blood flow images as compared to a conventional device.
Owner:NAT UNIV CORP KYUSHU INST OF TECH (JP)
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