50results about How to "Improve diagnostic reliability" patented technology

A diagnostic system, for a valve (2), having a sensor (12) that senses structure-borne noise and having a device (14) for evaluating a measurement signal (13) of the structure-borne noise. During a calibration process, a first progression of the measurement signal is sensed for the closed position of the valve (2) and a first value (w1) of a characteristic is determined. To simulate leakage noise, the valve (2) is nearly closed during operation, a second progression of the measurement signal is sensed and a second value (w2) is determined. If the deviation of the second value from the first value is sufficiently large, a diagnosis is possible. A third progression of the measurement signal is sensed for the closed position of the valve as in an installed condition, and a third value (w3) is determined. If the deviation of the third value (w3) from the first value (w1) is too great, and if a diagnosis has been identified as being possible, then the system deduces that the valve leaks.

A diagnostic system, for a valve (2), having a sensor (12) that senses structure-borne noise and having a device (14) for evaluating a measurement signal (13) of the structure-borne noise. During a calibration process, a first progression of the measurement signal is sensed for the closed position of the valve (2) and a first value (w1) of a characteristic is determined. To simulate leakage noise, the valve (2) is nearly closed during operation, a second progression of the measurement signal is sensed and a second value (w2) is determined. If the deviation of the second value from the first value is sufficiently large, a diagnosis is possible. A third progression of the measurement signal is sensed for the closed position of the valve as in an installed condition, and a third value (w3) is determined. If the deviation of the third value (w3) from the first value (w1) is too great, and if a diagnosis has been identified as being possible, then the system deduces that the valve leaks.

A method is provided for monitoring an SCR catalytic converter (12), in which method the NH3 storage capacity of the SCR catalytic converter (12) is monitored. The SCR catalytic converter (12) is initially filled in an overdosing phase with a superstoichiometric reducing agent dosing up to the maximum NH3 storage capacity. The catalytic converter is subsequently acted on in an underdosing phase with a reducing agent dosing which is reduced in relation to a normal dosing or is absent. The NH3 storage capacity is indirectly determined during the underdosing phase by determining at least one characteristic value which is dependent on the NOx conversion rate. According to the invention, to detect NH3 slippage (25), which indicates the transition from the overdosing phase to the underdosing phase, a variable which is characteristic of the NOx conversion is continuously measured during the overdosing phase, and in the event of a fall in the NOx conversion, it is inferred that NH3 slippage (25) is present.

The invention provides an online diagnosis method for uniformity of common-rail oil injectors. The online diagnosis method includes the following steps: step one, under the condition that pressure in a common-rail pressure storage rail meets requirements, collecting and calculating pressure drop of a main injection action in the pressure storage rail; step two, acquiring a main injection pressure drop reference value of a current work cycle, and dividing the collected and calculated main injection pressure drop by the main injection pressure drop reference value to acquire an injection pressure drop ratio of the common-rail injectors in this time of injection; step three, comparing oil injection capability grade threshold values of a set of the oil injectors according to the determined injection pressure drop ratio of the common-rail oil injectors, determining oil injection capability grade, of the common-rail oil injector, calculated in this time, and using a statistical method to finally determine the oil injection capability grade of the common-rail oil injectors. By the online diagnosis method, oil injector aging degree can be calculated accurately without increasing extra cost.

A device is implemented as a functional patch, for measuring sleep apneas, which device includes: an acoustic sensor for measuring respiration and snoring noises; an optical sensor for measuring a saturation of oxygen in the blood of a human; and an adhesive patch which carries the acoustic sensor and the optical sensor. Analysis of the measuring signals and display of the sleep apneas are alternately performed in the functional patch or in an external unit, to which the data are transmitted wirelessly.

The invention provides an analog circuit fault diagnosis method based on improvement. The conventional technology is improved from two aspects: 1. a DAGSVA method is improved: an SVM with the maximum inter-class distance acts as the uppermost layer node of the DAGSVM. If the root node classification result is i-type, the SVM with the maximum inter-class distance to the i-type is selected to act as the child node of the layer, and if the root node classification result is j-type, the SVM with the maximum inter-class distance to the j-type is selected to act as the child node of the layer; if the classification result does not belong to the i-type or the j-type, the two types are eliminated, two types of SVM with the maximum inter-class distance Dij are selected among the rest classes to act as the nodes of the layer, and the two aforementioned steps are continued unit a diagnosis result is obtained so that a situation of error of the final result caused by high-layer node diagnosis error can be effectively avoided. 2. particle swarm optimization (PSO) is performed on each child SVM for parameter optimization in order to enhance diagnosis accuracy rate of each child node so that SVM diagnosis accuracy rate of each node is enhanced, and thus diagnosis accuracy rate of the whole DAGSVM is enhanced.

The invention relates to a motor rotor classical failure diagnosis method based on low subharmonic shaft voltage signals, which is used for solving the detection problem of turn-to-turn short circuit failure of a motor rotor static eccentricity and a winding. The technical scheme is achieved as follows: respectively connecting two ends of a slide rheostat to two ends of a motor rotor; acquiring shaft voltage partial signals output by the slide rheostat in an on-line way by using a data acquisition device; carrying rapid Fourier transform on the signals to obtain a shaft voltage frequency spectrum plot; and analyzing the frequency spectrum of the shaft voltage signals, diagnosing whether the turn-to-turn short circuit failure exists in the motor rotor winding or not: if the frequency component amplitude of j Omega r / 2Pi in the shaft voltage signals exceeds 15 percent of the normal value, judging the turn-to-turn short circuit failure exists in the motor rotor winding, wherein Omega r is the mechanical angular velocity of the motor. The invention has high diagnosis reliability, simple operation and low cost, is suitable for a non-salient pole sychronous motor and a salient pole synchronous motor, and can conveniently perform the test whatever the motor is big, small, new or old.

The invention belongs to the technical field of power electronic diagnosis and discloses a high voltage frequency converter power unit remote fault diagnosis method. The system comprises a field acquisition system for sending collected test data to a background diagnosis system and receiving the fault information of a failed system obtained by a background diagnosis system according to the test data diagnosis, a data transmission system used for realizing the data exchange between the field acquisition system and the background diagnosis system, the background diagnosis system for carrying out processing and diagnosis according to the test data and then obtaining the fault information of the failed system, and sending the fault information to the field acquisition system, wherein the failed system is a failed power unit in the chain structure high voltage inverter. According to the system, the remote diagnosis can be realized, the background diagnosis system can be fully used, a field problem is rapidly analyzed and on-site equipment maintenance is guided, the time and cost of the equipment maintenance are saved, the sharing of resources is realized, and the utilization rate of the resources is improved.

The invention discloses an internal transformer composite-defect fuzzy diagnostic method based on gas dissolved in oil. The method comprises the following step that monitoring data of volume concentration of monitored five-kind of characteristic gas are obtained; a ratio code is confirmed; modification is carried out on three ratio methods; fuzzification is carried out on a boundary range; a probability of the ratio code is calculated; a probability of failure occurrence caused by each defect is calculated, and finally a failure type of a transformer is obtained. The method has the advantages that the method is simple, easy to achieve, and particularly suitable for being applied to a transformer state on-line monitoring system; based on the concept of the fuzzy logic, the diagnosis of the composite defects of the transformer in a complicated state can be achieved, the evaluation of the severe degree can be achieved, and the mutation problem caused by the boundary absolutization is effectively avoided; fusion analysis is carried out on an attention value, a specific value and multi-feature information of the gas dissolved in the oil, and the reliability of the diagnosis is effectively improved.

A method and device for optically stimulating the visual system during static perimetry and for objectively evaluating adequate stimulus-related electrophysiological and / or magnetophysiological quantities. Light stimuli with defined parameters derived from a predetermined correlation function and from the known intensity dependence of the excitation response amplitude are presented to the observer. The excitation responses contained in the ERG and / or in the EEG / MEG are detected and processed. These excitation responses are used to determine and topographically evaluate the local sensitivity of the visual system. In one embodiment, the light sources are fixed inside a perimeter, and the excitation responses are amplified and digitized by a device, which preferably comprises an ERG / EEG measuring system and an A / D converter. To this end, the device, for the purpose of evaluating, and the light sources, for the purpose of controlling, are connected to a controlling means, preferably to a PC provided with evaluation and control software.

A solid reagent dissolving device including a flexible layer; an upper plate disposed on the flexible layer; and a lower plate disposed under the flexible layer, wherein the upper plate comprises a plurality of minute channels, a dissolution chamber connected with the plurality of minute channels, and a protrusion for limiting a flow of a fluid flowing through one of the plurality of minute channels, the lower plate comprises a plurality of penetration holes that correspond to the protrusion and the dissolution chamber, respectively, and one side of each of the plurality of penetration holes, the plurality of minute channels, and the dissolution chamber are covered with the flexible layer, and method of using same.

The invention relates to a mechanical fault diagnosis method of a gas insulated switchgear based on abnormal vibration. The method comprises the steps of taking a vibration signal of a GIS in a normalstate as a reference, judging that a vibration signal is abnormal, and then carrying out the feature extraction; adopting the wavelet packet decomposition to process the abnormal vibration signal, obtaining the wavelet packet feature entropies of all frequency bands, and constructing the feature entropy vectors; and constructing a data set according to the feature entropy vectors, and performingfault mode identification by adopting a BP neural network. According to the invention, by utilizing the advantage that the wavelet packet energy entropy has multiple resolutions, the time-frequency localization depiction advantage is obvious, and the method is very suitable for processing the stable and non-stable vibration signals; meanwhile, by overall planning the vibration signals under the action of four excitation forces including a circuit breaker, an isolation switch, a grounding switch and an electromagnetic force, the data information is comprehensive, the diagnosis reliability is high, and a calculation result is accurate.

The invention discloses a method for diagnosing the health state of a liquid reducing agent supply pump. The method comprises the following steps: 101, calculating a standard control parameter threshold value in a determined health state according to the supply voltage of the supply pump under the condition that the calculation condition is met; 102, calculating a control parameter capable of representing the actual health state of the supply pump when the working state of the supply pump meets a set condition; 103, determining the actual health condition of the supply pump according to the deviation between the control parameter for the actual health condition of the supply pump calculated in the step 102 and the standard control parameter threshold value under the determined health condition calculated in the step 101; and 104, determining the cause of the failure according to the actual health condition of the supply pump and deviation of the health control parameters calculated instep 103, and reporting the cause to a supply pump control unit. The health state of the reducing agent supply pump can be monitored in real time, diagnosis is reliable, and no extra cost is needed.

The invention discloses a 3G wireless communication-based colostomy complication remote diagnosis system which comprises a plurality of medical centers; all the medical centers are communicated with 3G wireless network base stations by serial ports or networks; the 3G wireless network base stations are respectively connected with a 3G public wireless network; each medical center comprises a diagnosis control terminal which comprises a central processing unit (CPU); the CPUs are connected with the 3G wireless network base stations by routers; each CPU is also connected with a display device, a data storage device and a data acquisition device; and the CPUs are also connected with a computer used for expert consultation diagnosis. The 3G wireless communication-based colostomy complication remote diagnosis system has the advantages of greatly shortening the diagnosis time, reducing the financial burden on a patient, and being convenient for the patient to go to the nearest hospital.

The present invention relates on a non-invasive method for diagnosing prostate cancer and / or assessing the risk of a subject acquiring prostate cancer comprising the analysis of the expression of the marker gene hepsin in an urine sample. It further relates on a non-invasive method for diagnosing prostate cancer and / or assessing the risk of a subject acquiring prostate cancer by determining the expression levels of the marker genes hepsin, EZH2, prostein and PCA3.

The invention provides a particulate matter trap removing failure diagnostic device which is used for diagnosing whether a particulate matter trap has a removing failure and comprises a first temperature sensor, a second temperature sensor and a control module; the first temperature sensor is used for gathering the inlet temperature of fluid entering the inlet end of the particulate matter trap; the second temperature sensor is used for gathering the outlet temperature of fluid flowing out of the outlet end of the particulate matter trap; and the control module is used for diagnosing whether the particulate matter trap has a removing failure according to the inlet temperature and outlet temperature data. The invention further provides a particulate matter trap removing failure diagnostic method. According to correlation factors of the inlet and outlet temperature of the particulate matter trap within a certain period of time after cold start of an engine, whether the particulate mattertrap has a removing failure can be judged. The particulate matter trap removing failure diagnostic device is simple in structure and better in environment applicability. The particulate matter trap removing failure diagnostic method is large in failure degree of distinction and high in diagnostic reliability.

Provided is a polypeptide comprising a macadamia protein running in a 2D SDS PAGE at pH 6.3 to 8.7 and 53 to 67 kDa or a protein running in a 2D SDS PAGE at pH 6.5 to 7.9 and 20 to 25 kDa or an antigenic variant thereof, and a tag for detection and / or purification, a polypeptide fused with the macadamia protein, or the macadamia protein is modified by glycosylation, phosphorylation, acetylation, decarboxylation, citrullination, or hydroxylation.

Provided is a polypeptide comprising a macadamia protein running in a 2D SDS PAGE at pH 6.3 to 8.7 and 53 to 67 kDa or a protein running in a 2D SDS PAGE at pH 6.5 to 7.9 and 20 to 25 kDa or an antigenic variant thereof, and a tag for detection and / or purification, a polypeptide fused with the macadamia protein, or the macadamia protein is modified by glycosylation, phosphorylation, acetylation, decarboxylation, citrullination, or hydroxylation.

A method for diagnosing a limbic encephalitis, PNS, encephaloymyelitis, leukoencephalopathy, retinitis or optic atrophy, includes detecting a bornavirus in a sample, preferably from the group comprising mammalian 2 bornavirus, even more preferably VSBV-1, and mammalian 1 bornavirus, even more preferably BoDV-1; to a carrier containing a means for the capture of an antibody against at least one polypeptide selected from the group of BoDV-1-N, BoDV-1-P, VSBV-N and VSBV-P. A kit contains the carrier and a means for the detection of a captured antibody and a control for the detection of the presence of a sample. The carrier or kit or of a primer can be used for the detection of a bornavirus or a probe can be used for the diagnosis of an encephalitis, for the prognostication of post-transplantation complications, for the monitoring of a therapy of an encephalitis or of post-transplantation complications or for the differentiation between an autoimmune encephalitis and an encephalitis caused by infection.

The invention relates to a method for computed tomography imaging. The method includes provisioning a CT data set (D) of an object (O), the CT data set being previously recorded via a multispectral recording method; suppressing a contrast, caused by a tissue type (G1, G2), and generating a contrast-suppressed data set (D) from the CT data set provisioned; and analyzing at least the contrast-suppressed data set(K) generated or a data set(D) generated via a machine learning algorithm based on the contrast-suppressed data set (K), the analyzing being configured to identify at least one change inthe tissue type (G1, G2). A corresponding device, a control device (10) for a computed tomography system or a diagnosis system, and a diagnosis system and a computed tomography system (1) are also disclosed.

The invention belongs to the technical field of power electronic diagnosis and discloses a high voltage frequency converter power unit remote fault diagnosis method. The system comprises a field acquisition system for sending collected test data to a background diagnosis system and receiving the fault information of a failed system obtained by a background diagnosis system according to the test data diagnosis, a data transmission system used for realizing the data exchange between the field acquisition system and the background diagnosis system, the background diagnosis system for carrying out processing and diagnosis according to the test data and then obtaining the fault information of the failed system, and sending the fault information to the field acquisition system, wherein the failed system is a failed power unit in the chain structure high voltage inverter. According to the system, the remote diagnosis can be realized, the background diagnosis system can be fully used, a field problem is rapidly analyzed and on-site equipment maintenance is guided, the time and cost of the equipment maintenance are saved, the sharing of resources is realized, and the utilization rate of the resources is improved.

The invention discloses a power system fault diagnosis device and method based on a neural network. The device has a pipeline accelerator based on an AlexNet neural network model. An off-chip memory of the pipeline accelerator is used for storing the collected power system data and the AlexNet neural network model; a multiplication matrix unit is used for executing convolution operation; a correction linear unit is used for performing activation operation; a pooling unit is used for carrying out normalization and pooling operation; a supplementary multiplier is used for carrying out multiplication operation; an on-chip memory is used for storing data output by the supplementary multiplier; a feeding unit is used for distributing data in the off-chip memory and the on-chip memory to the multiplication matrix unit; and a controller is used for controlling the data processing process of each unit according to the neural network model. The power system fault diagnosis device and method canextract the high-dimensional features of the current more accurately, can be more sensitive to fine current changes, and are higher in diagnosis reliability.

The invention relates to a motor rotor classical failure diagnosis method based on low subharmonic shaft voltage signals, which is used for solving the detection problem of turn-to-turn short circuit failure of a motor rotor static eccentricity and a winding. The technical scheme is achieved as follows: respectively connecting two ends of a slide rheostat to two ends of a motor rotor; acquiring shaft voltage partial signals output by the slide rheostat in an on-line way by using a data acquisition device; carrying rapid Fourier transform on the signals to obtain a shaft voltage frequency spectrum plot; and analyzing the frequency spectrum of the shaft voltage signals, diagnosing whether the turn-to-turn short circuit failure exists in the motor rotor winding or not: if the frequency component amplitude of j Omega r / 2Pi in the shaft voltage signals exceeds 15 percent of the normal value, judging the turn-to-turn short circuit failure exists in the motor rotor winding, wherein Omega r is the mechanical angular velocity of the motor. The invention has high diagnosis reliability, simple operation and low cost, is suitable for a non-salient pole sychronous motor and a salient pole synchronous motor, and can conveniently perform the test whatever the motor is big, small, new or old.

An Aspergillus infection is diagnosed in a patient by detecting in a sample a proteinaceous antigen derived from mycelium of a pathogenic Aspergillus strain, wherein the sample is contacted with a first antibody binding specifically to said antigen and wherein any antigen bound to said first antibody is detected by way of a non-membrane based immunoassay, preferably selected from an ELISA and a bead-based assay. An antibody binding to a proteinaceous antigen derived from mycelium of a pathogenic Aspergillus strain is used for increasing the reliability of an immunoassay or the diagnosis of an Aspergillus infection in a patient. A further method includes coating a diagnostic device with a first antibody binding specifically to a proteinaceous antigen derived from mycelium of a pathogenic Aspergillus strain.

A method and a device for examining the neurovascular coupling at the eye (A) of a patient, wherein an imaging method is used to record an image sequence of images of the fundus of the eye (A), preferably over a baseline phase (BP), a stimulation phase (SP) in which the fundus is stimulated with a flickering light, and a posterior phase (NP). Signals, in particular an averaged quotient signal (Q(t)) representing a vessel response of the vessels of the capillary vessel region to the stimulation, are derived from the image sequence for at least one capillary vessel region of the fundus. The absolute or percentage maximum change (Qmax) of the averaged quotient signal (Q(t)) is then used as an evaluation criterion for the neurovascular coupling.

The invention discloses a road traffic signal light fault diagnosis device comprising a detector fault diagnosis module, a signal light fault diagnosis module, a power supply system diagnosis module, a wireless communication module, a sound and light alarm module, and a human-machine interaction module. The modules are independent from each other. The software and hardware modules of the device are effectively separated. In timing plan analysis diagnosis, the device uses a detector for information analysis, fully considers the actual status of an intersection, and improves the reliability of diagnosis. The device realizes remote diagnosis, so that a technician can modify configuration and parameters of the device through a remote 4G wireless network and do analysis and processing of data through a wireless network without being on site.

The invention discloses a method for diagnosing the health state of a liquid reductant supply pump, which includes the following steps: S101. Calculating the standard control parameter threshold for determining the healthy state according to the power supply voltage of the supply pump when the calculation condition is satisfied; S102. The working state of the supply pump meets the design requirements. Calculate the control parameters that can characterize its actual health state when the conditions are determined; S103. Determine the actual health of the supply pump according to the deviation between the actual health state control parameters of the supply pump calculated in step S102 and the standard control parameter threshold value calculated in step S101. Status; S104. Determine the cause of the failure according to the actual health status of the supply pump calculated in step S103 and the deviation of the health control parameters, and report to the supply pump control unit. The invention can monitor the health state of the reductant supply pump in real time, and the diagnosis is reliable without adding extra cost.

The invention discloses a method and a system for diagnosing the performance deterioration of a gasoline vehicle particulate trap, belonging to the technical field of engine particulate traps. The method for diagnosing the performance degradation of the particle filter of gasoline vehicles provided by the embodiment of the present invention includes the following steps: obtaining the voltage values ​​at the upstream and downstream ends of the particle filter; converting the voltage values ​​at the upstream and downstream ends of the particle filter into a differential pressure value ; Comparing the converted pressure difference value with the preset pressure difference value threshold, and when the pressure difference value does not reach the preset pressure difference value threshold, it is determined that the performance of the particle filter is degraded. The method for diagnosing the particulate filter of gasoline vehicles provided by the embodiment of the present invention can be easily realized only by measuring the voltage values ​​at both ends of the upstream and downstream of the particulate filter and developing corresponding logic software. It does not involve actuators and is easy to arrange. Low cost, high diagnostic reliability, and less calibration workload.

Disclosed is an automatic in-vitro diagnosis method for increasing diagnostic reliability and a diagnosis speed by automatically mixing a specimen taken from the body of a person with a reagent in volumes needed to diagnose the state of the person using the specimen, absorbing the mixture solution of the reagent and the specimen with an analysis strip for a predetermined time, and making a diagnosis by analysis.