100 results about "Detection diagnosis" patented technology

The present invention relates to a method and system for detecting biologically relevant structures in a hierarchical fashion, beginning at a low-resolution and proceeding to higher levels of resolution. The present invention also provides probabilistic pairwise Markov models (PPMMs) to classify these relevant structures. The invention is directed to a novel classification approach which weighs the importance of these structures. The present invention also provides a fast, efficient computer-aided detection / diagnosis (CAD) system capable of rapidly processing medical images (i.e. high throughput). The computer-aided detection / diagnosis (CAD) system of the present invention allows for rapid analysis of medical images the improving the ability to effectively detect, diagnose, and treat certain diseases.

An implantable device for monitoring for neural injury has a plurality of electrodes including stimulus electrodes and sense electrodes. A stimulus source provides a stimulus to be delivered to a nerve in order to give rise to an evoked action potential. Measurement circuitry records a neural compound action potential signal sensed at the sense electrodes. A stream of control stimuli are applied to the nerve over time and the evoked neural responses are measured. A diagnostic parameter of the measured neural responses is monitored over time, in order to detect a change in the diagnostic parameter. If a change in the diagnostic parameter occurs over time, an indication is output that neural injury has occurred.

The invention relates to a load fault diagnosis detection method and a device thereof. Rise phase current waveform sampling is driven through a load, comparison with a preset threshold is carried out, logic overturn of a diagnosis signal which exceeds the threshold occurs, a time of a logic overturn moment of the diagnosis signal is detected, the time and a preset benchmark value are contrasted and analyzed, hereby whether the load has short circuit, circuit break and load over-limit faults is determined, and simultaneously, whether the short circuit fault is short circuit to ground or short circuit to a power supply can be determined; through measuring time of drive starting moment and ending moment of diagnosis signal overturn, comparison with a driving signal is carried out, and hereby whether pulse width output of the driving signal has abnormity or not is determined. According to the method, only a diagnosis circuit is added based on a load performer driving circuit, additional cost is low, protection and control reliability in a load performer driving process can be raised substantially, and a foundation for load driving analysis and fault diagnosis is established.

The invention discloses a vehicle fault remote detection diagnosis system and a relative diagnosis method, which arranges a fault detector and a vehicle communication terminal in vehicle and communicates information with a remote control center via the vehicle communication terminal to diagnose fault remotely. Via the inventive vehicle fault remote detection diagnosis system and relative diagnosis method, the remote control center can periodically process vehicle remote fault detection diagnosis, and vehicle user can actively send remote fault detection diagnosis request to the remote control center. The invention separates the fault detection and diagnosis to improve versatility, which can is applied in variable vehicles. The invention can detect and diagnose multiple systems of vehicle, on-time send the diagnosis result to vehicle user, clear fault code and turn off alarm lamp remotely via the diagnosis result.

The invention discloses a high-voltage cable insulation defect partial discharge on-line monitoring diagnosis method, which involves analyzing obtained partial discharge data of various actual manufacturing typical defects from the perspectives of time domain waveform characteristics, spectrum distribution differences, separate spectrum analysis and the like, and establishing a discharge database and a comparison database of the various defects. By use of a high-voltage cable partial discharge detection system, through utilizing signal separating technologies including a three-phase amplitude relation atlas, a three-frequency range amplitude relation atlas and the like, pulse current waveform parameter characteristic value integrated information is analyzed, a discharge accumulation spectrum of on-site measuring data and a same-kind characteristic pulsed discharge cluster are formed, and finally a comparison is made between the discharge accumulation spectrum and the same-kind characteristic pulsed discharge cluster and the discharge database of the various defects so as to determine whether insulation defects exist for an on-site running cable line. The method can solve the problem of difficult on-line monitoring diagnosis of insulation defect partial discharge of a conventional cable device, and also can improve the accuracy and sensitivity of high-voltage cable insulation defect partial discharge detection diagnosis.

The invention provides a mixed failure detection diagnosis method based on logical deduction and failure identification. The method comprises the following steps of: acquiring a failure causal relationship and historical failure data of a system to be detected, establishing a failure tree of the system to be detected, and determining the reliable distribution of each event node of the failure tree; acquiring a plurality of latent failure modes of the system to be detected, respectively establishing failure models which correspond to a plurality of latent failure modes, and thus obtaining a plurality of latent failure models; establishing association relationships between the failure tree and a plurality of latent failure models of the system to be detected; and when the system to be detected fails, detecting the current failure mode, and thus obtaining a diagnosis result of the current failure mode according to the association relationship between the current failure model which corresponds to the current failure mode and the failure tree. By adoption of the method, failures of an aircraft can be accurately detected and diagnosed, specific parts which fail are found, the accuracy and identification capacity of failure detection diagnosis are improved, and foundation is provided for maintenance of the aircraft.

The invention relates to a distribution iterative data processing program abnormity detection and diagnosis method, and belongs to the computer data management technical field; the method comprises two stages of model training and detection diagnosis; firstly extracting a log template database based on source code analysis, then respectively extracting characteristic vectors corresponding to data partitions and task units from mass log data according to the template database, carrying out abnormity detection model training, then combining field knowledge to tag abnormity types, using trained model to carry out abnormity detection for future calculating tasks, using a visualization interface to display abnormity analysis, associating characteristic units with code positioning information, and finally mapping the abnormal characteristic unit into program codes so as to realize program abnormity detection and diagnosis. The method can detect and diagnose mainly abnormity of the distribution iterative data processing program from multi angles, is direct and easy to use, good in interactivity, thus greatly reducing user time for program abnormity detection and diagnosis.

An air-conditioning apparatus has different two modes including a response detection diagnosis in which a control unit diagnoses a trouble of a component device during the trouble diagnosis operation based on presence or absence of a response from the operational state sensor when the mode has forcibly changed the device operation, and a performance detection diagnosis in which a trouble is detected by a detection value of the operational state sensor at a time when the operational state of the trouble diagnosis operation is stable, and the performance detection diagnosis is executed after the response detection diagnosis is executed.

The invention discloses a detecting, diagnosing and defining method of second-health body, which is characterized by the following: applying the Chinese and western medical combination method to study the forming mechanism of second health state; developing a detecting device of physiological index; establishing a synthetic analysis and objective assessment for second-health state; providing criterion for the clinical consultation; adjusting the body function; maintaining the health physiology.

A diagnostic method and system is described for diagnosing an operating condition of a conductive particulate matter sensor. The sensor has a substrate with electrical resistance that varies with temperature and two electrodes on the substrate adapted to collect particulate matter between the electrodes, thereby establishing an electrically conductive path through collected particulate matter between the electrodes that can be detected by measuring electrical resistance between the electrodes, Relect. The diagnosis is performed by heating the substrate in the area between the electrodes and using the resistance between the electrodes to determine detecting whether contamination is present on the surface of the sensor. Heat may be maintained on the sensor to attempt to burn off a detected contaminant, and a subsequent resistance reading may be used to determine if the contaminant was successfully burned off.

The invention aims to provide a temperature detection and analysis method of a vehicular motor controller with high reliability, so that the measured MCU (microprogrammed control unit) temperature can be close to a real value to the maximal extent, and the MCU is protected according to temperature data, so as to reduce maintenance frequency of the system. In the temperature detection and analysis method of the vehicular motor controller, a motor control system utilizes at least two temperature sensors to collect temperature of a drive module, arranges all temperature data collected by the temperature sensor, eliminates the data with the maximal deviation, and finally controls the output power of the drive module according to the preserved temperature data. Temperature misjudgment due to the fact that one temperature sensor cannot normally work or the measurement deviation is large can be avoided through the temperature sensor with redundancy design, so that the reliability of collection of the MCU temperature data can be ensured, and the measured temperature data can be close to the real value to the maximal extent.

The invention discloses an air conditioner after-sale fault data processing method and system. According to the method and system, the model of an air conditioner to be maintained is determined through obtained user information, the allowed range of standard operation parameters corresponding to the model of the air conditioner is determined, the current fault data are obtained by judging whether the actual operation parameters are in the allowed range of the standard operation parameters, then data codes corresponding to the current fault data are obtained by the adoption of a corresponding relation of fault data and fault codes, and finally, a solution of the air conditioner to be maintained is obtained by the adoption of the corresponding relation of the fault codes and the fault solution. The corresponding relations of the fault data, the fault codes and the fault solution are collected, so that the corresponding fault solution can be found out from the corresponding relations after the current fault data are obtained through the allowed range of the actual operation parameters and the standard operation parameters of the air conditioner to be maintained, automation of the fault detection diagnosis is achieved, and the maintenance efficiency of the air conditioner is improved.

The invention provides an intelligent metallurgical equipment operation diagnosis system. The system comprises an equipment detection diagnosis platform, an equipment technological process simulationmodule, an operation monitoring module, a fault diagnosis module, a three-dimensional overhaul training module, a man-machine interactive interface module and a remote intelligent terminal. The systemhas the characteristics that the working efficiency is improved; overhaul personnel can be subjected to training check; intelligent operation is realized; and the like.

The invention concerns a diagnostic kit for clinical testing the prothrombin time (PT) in vitro. It is composed by thromboplastin and buffer system. And it is used for monitoring blood coagulation factor absence screening experiment and oral administration of decoagulant therapy. The advantages of the kit are good safety, simple operation, good reproducibility and good stability. The kit provides reliable experimental data for clinical diagnosis and treatment reduces costs and burden on patients and improves the efficiency and level of thrombosis and haemostasis basic research.

The invention provides a liquid detection diagnosis system. The liquid detection diagnosis system comprises testing equipment and mobile equipment, wherein the testing equipment is used for carrying out detection and obtaining detection data, and is further used for converting the detection data into a two-dimension code; the mobile equipment is used for obtaining the two-dimension code, decoding the two-dimension code to obtain the detection data and displaying the detection data. According to the liquid detection diagnosis system, the utilization convenience and the privacy are improved. Preferably, the mobile equipment is used for transmitting the detection data to a cloud server; the capabilities of processing and analyzing the data by the cloud server are great and the efficiency is high; more analysis results can be provided and can be rapidly fed back to a user.

The invention provides an optical detection and diagnostic device on the basis of mobile equipment. The device comprises a first optical path subsystem, which is used to image an object to be detected; a second optical path subsystem, which is used to image an object to be detected, wherein the amplification factor of the second optical path subsystem is different from that of the first optical path subsystem; mobile equipment, which comprises an image collector and a processor, wherein the processor processes the images collected by the image collector to form image data so as to provide a detection result; a main frame, which is used to fix the optical equipment and the mobile equipment together; and a switching device, which supports the first optical path subsystem and the second optical path subsystem and is used to switch the positions of the two systems to make the images formed by the two systems be projected to the image collector so as to make the image collector collect the images. The detection convenience is improved through the combination of mobile equipment, and moreover different amplification factors are provided for objects with different sizes.

The invention discloses an automated weather station system with a fault self-diagnostic and self-recovery function, and belongs to the technical field of automated weather stations. The automated weather station system with the fault self-diagnostic and self-recovery function comprises n weather stations and a remote control terminal, wherein n is a positive integer, and each weather station comprises a microcontroller, a collector and a communication module; the collector is externally connected with a power supply, and a comparator circuit is arranged inside the remote control terminal; when a certain weather station in the n weather stations is subjected to detection diagnosis, the data average value of (n-1) weather stations other than the detected weather station is used as a reference value; and when the difference of the weather data of the detected weather station and the reference value exceeds the preset deviation range, the fault of the collector of the weather station is diagnosed. The automated weather station system provided by the invention can diagnose a fault source by self, shorten downtime, improve the work efficiency of the weather station, reduce data error, and enhance real-time detection accuracy and stability.

Disclosed are methods and compositions for the detection, diagnosis, prognosis, and therapy of hematological malignancies, and in particular, B cell leukemias, lymphomas and multiple myelomas. Disclosed are compositions, methods and kits for eliciting immune and T cell responses to specific malignancy-related antigenic polypeptides and antigenic polypeptide fragments thereof in an animal. Also disclosed are compositions and methods for use in the identification of cells and biological samples containing one or more hematological malignancy-related compositions, and methods for the detection and diagnosis of such diseases and affected cell types. Also disclosed are diagnostic and therapeutic kits, as well as methods for the diagnosis, therapy and / or prevention of variety of leukemias and lymphomas.

The invention provides a steel wire rope fault detection apparatus capable of conveniently carrying out fault detection diagnosis. The steel wire rope fault detection apparatus has a magnetization unit (4) and a flux detection unit (3), the magnetization unit (4) magnetizes a steel wire rope (1) intertwined with a plurality of steel wires (1a), the flux detection unit (3) detects leakage flux of the steel wire rope (1), furthermore the steel wire rope fault detection apparatus further has a magnetic flux adjusting unit (5) for adjusting magnetic flux through the steel wire rope (1).

The invention relates to a narcissus latent virus detection kit and its detecting method that are special for narcissus latent virus detection. The kit comprises: an upstream primer, a downstream primer, an RT Buffer, an RNA enzyme inhibitor, a reverse transcriptase, dNTPs, a PCR Buffer, Mgcl2, Taq DNA polymerase, a positive control, a negative control and RNase-free ddH2O. In the invention, specific primers are designed according to a coat protein CP gene sequence of the narcissus latent virus, which is detected by a reverse transcription-polymerase chain reaction (RT-PCR) technology. With the obvious advantages of rapidity, accuracy, sensitivity, strong operability and simple kit preparation method, the kit and method of the invention are not only suitable for ports of China to conduct rapid detection on the narcissus latent virus of entry and exit narcissus, and also can be used for narcissus latent virus detection and diagnosis, epidemic surveillance as well as early warning and prediction, thus having broad application prospects.

The invention relates to the technical field of data remote sensing analysis, and relates to a regional pest detection diagnosis judging method based on wavelet analysis. The method includes the first step of acquiring test data of euphrates poplar pest damage, and performing the sampling analysis; the second step of performing preliminary analysis on the sampling data by the wavelet transform; the third step of defining and structuring a HDVI time spectrum curve; the fourth step of filtering noise of the HDVI time spectrum curve; the fifth step of performing enhancement and separation analysis on euphrates poplar pest damage; the sixth step of setting up a signal detection model of the euphrates poplar leaf-eating pest; the seventh step of dynamically detecting the detected pest signal in real time. Based on the principle of remote sensing and monitoring of forest pest damage and the physical foundation, the euphrates poplar NDVI time spectrum curve containing the pest information is defined and structured by means of NDVI time sequence data; thus the evolution speciality and rule of NDVI along with time change are acquired; the method can effectively monitor the plant growth and pest damage, and avoid euphrates poplar growth weak gradually.

The invention, which belongs to the technical field of insulation diagnoses of the electrical equipment, relates to a hardness-retention-rate-based rapid detection method of a residual life of a low-voltage cable, thereby carrying out detection diagnoses and residual life evaluation on the insulating state of the low-voltage rubber cable. The method comprises: a service life of a cable is evaluated by using a hardness retention rate; accelerated aging testing is carried out on a cable insulating material to obtain a service life equation in which the hardness retention rate of the cable changes with the aging temperature and the aging time; and then a residual life value of the cable is obtained by using the service life equation of the cable. Because the hardness detection method is a rapid and non-destructive detection method, the service life evaluation equation of the cable insulating state can be deduced only by measuring the insulating layer hardness value of the to-be-measured cable during field measurement; and evaluation and prediction can be carried out on the service life of the cable under each working temperature.

The invention discloses an unmanned aerial vehicle wearable maintenance support system, and relates to the field of the aviation maintenance. The system brings a pair of smart glasses, a wearable computer, a remote server and like hardware resources and a technical manual, flight data, electronic resume and like software resources into a wireless network, integrates the fault detection diagnosis,the system monitoring, the technical document retrieval, the electronic resume updating, the maintenance field monitoring, remote technical support, first working tracing into one, the wearing is convenient, the operation is flexible, the function is rich, and the interactivity is strong. The real-time interaction and sharing intercommunication of the video, the voice and the network data can be realized through the system, the maintainer can acquire information service and remote technical support in real time, improve the maintenance resource utilization rate, simplify the maintenance process and improve the maintenance support efficiency; a command officer can master the field maintenance progress and quality in real time, optimize the personal allocation, and accurately make out the command decision; and the system has good economic benefit.

The invention discloses a blood cell morphological analysis internet-of-things detection and diagnosis method and a platform. The method includes the steps that firstly, an operation interface of a computer is displayed to a user, and input information or an operation instruction of the user is received; secondly, a hemogram detection device is connected, a blood image, transmitted by the hemogram detection device, of a current detected person can be displayed on the computer and a mobile terminal synchronously, and an activating blood morphological image and a dried blood morphological image of blood cells can be displayed respectively; thirdly, a save instruction of the user is received, the current blood image, the name of the hemogram and the hemogram are described, identification information of the detected person serves as relevance, and the activating blood morphological image and the dried blood morphological image of the blood cells serve as typical pictures; fourthly, an analysis instruction of the user is received, multiple typical pictures selected by the user are obtained, and a detection analysis report is formed; fifthly, operation instructions transmitted by remote clients including the mobile terminal are received, and corresponding data processing is executed according to the operation instructions.

The invention provides a detection-diagnosis device and method for a vibration fault of an aeroengine. The device comprises a three-axial-direction vibration sensor, a vibration analyzer and an industrial control computer; the three-axial-direction vibration sensor is mounted on a casing of the aeroengine with a vibration standard exceeding fault, and measures vibration in horizontal, vertical and axial directions of the aeroengine with the fault; the vibration analyzer supplies power to the three-axial-direction vibration sensor, detects a vibration fault signal, obtains a vibration fault characteristic atlas according to the detected vibration fault signal, and outputs the vibration fault characteristic atlas and the vibration signal to the industrial control computer; and the industrial control computer diagnoses the vibration fault of the aeroengine with the fault according to the vibration fault signal, and obtains the type of the vibration fault of the aeroengine by diagnosis. The device and method are applied to whole-machine vibration test analysis and vibration fault diagnosis and elimination fields during rack test of the aeroengine, to vibration fault analysis and diagnosis in outfield engine ground test and airplane flight process, and to vibration fault analysis and diagnosis when a core unit is tested.

The invention provides a detection diagnosis method of a vehicle health state and especially relates to a vehicle owner vehicle self-check method based on an intelligent mobile phone platform. The method comprises a Wechat public account end, an APP client, a web client, a cloud server, a general test method, a special-purpose test method, test examination items, a detection report and detection result analysis. A vehicle owner, through following a Wechat public account or downloading the APP client or the web client, accesses the cloud server, performs login and carries out comprehensive detection on an automobile according to the test methods and the detection items provided by detection program design so as to grasp vehicle health conditions at any time, detection results are merged to form the detection report, the detection report is stored in the cloud server, the cloud server, according to detection results obtained by comparing and analyzing the detection items, gives maintenance and repair advice, and at the same time, the car owner can also share the detection report with a maintenance technician and the circle of friends to obtain maintenance and repair advice so as to grasp the opportunity of maintenance and repair.

This invention discloses a urine test stripe for fast HIV diagnosis as well as a preparation method and a using method thereof. The test stripe consists of a base pad at the bottom and a lateral flow chromatographic pad, which is fixed at the former. Detection lines and quality control lines are arranged on the lateral flow chromatographic pad, and detection lines are positioned on upstream of quality control lines; the upstream end of the lateral flow chromatographic pad is connected to a binding pad treated by HIV antigen-colloidal gold compound or HIV antigen-colloidal selenium compound; the downstream end is connected to a blotting pad and the upstream end of the binding pad is connected to a sample pad. The test paper can correctly tell the HIV virus antibody condition of the person by testing the urine in 5-15 minutes. The invention has advantages of high testing precision, simple testing method, convenient sampling and high performance ratio, and it provides new and powerful technical support and product assurance for AIDS prevention and control in our country.

The invention relates to a fault detection and diagnosis method for a smart electrohydraulic actuator. The method comprises: when a smart electrohydraulic actuator is in a working state, field input signals including a pressure sensor signal, a displacement sensor signal, a temperature sensor signal, and a liquid level sensor and motion state signal are collected. The method has the following beneficial effects: all faults of an electrohydralic smart (EHS) control system can be detected and diagnosed rapidly and accurately; the automatic control system reliability analysis technology, the fault detection technology, and the artificial intelligence knowledge reasoning determination technology are utilized comprehensively, so that a problem that only a few of people can master the fault detection diagnosis technology can be solved; and thus the user can obtain the real-time healthy state of operation of the whole set of system conveniently and fault spreading and catastrophic event occurrence can be prevented.

The invention discloses a kit for dry-type fluorescent quantum dot joint detection diagnosis of pancreatic cancer and a preparation method of the kit. The kit can be used for joint detection of three tumor markers Ca19-9, CEA, CA242 for clinical diagnosis of pancreatic cancer on the same detection strip, monoclonal antibodies of CA19-9, CEA and CA242 are fixed on a nitrocellulose film by means of an immunochromatography technique for preparation of a reaction film, the three monoclonal antibodies are marked with quantum dots emitting different light, the antibodies marked with the quantum dots are mixed and sprayed on a glass fiber film for preparation of a conjugate pad, and the conjugate pad, a sample pad and a water absorbing pad are combined to form a quantum dot immunostrip. The kit is prepared with a double-antibody sandwich method, three antigens in whole blood or serum and plasma are quickly detected, numerous defects of existing independent detection methods are avoided, the three tumor markers can be detected simultaneously with one drop of blood, the result is more direct, the sensitivity and the specificity are both remarkably improved, and accordingly, the kit has great potential in clinical application.