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 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 NO_x 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 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.

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.

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 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.

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 (Q_max) of the averaged quotient signal (Q(t)) is then used as an evaluation criterion for the neurovascular coupling.