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34results about How to "Accurate Fault Diagnosis Results" patented technology
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State monitoring and fault diagnosis system of gas turbine generating unit and use method of state monitoring and fault diagnosis system
ActiveCN102840882AReal-timeEnable offline analysisMeasurement devicesReal time analysisSignal processing circuits
The invention discloses a state monitoring and fault diagnosis system of a gas turbine generating unit and a use method of the state monitoring and fault diagnosis system. The state monitoring and fault diagnosis system comprises a vibration monitoring module and a network module of a control system of the unit, a signal acquisition module and a computer which is provided with a LabVIEW platform, wherein a state performance signal is transmitted to the computer by the network module; the signal acquisition device is provided with a signal acquisition circuit and a signal processing circuit; a vibration signal output by the vibration monitoring module is acquired by the signal acquisition circuit, is processed by the signal processing circuit and is then transmitted to the computer; data acquisition is performed after an acquisition channel of the signal acquisition circuit is set by the LabVIEW platform; the LabVIEW platform comprises a real-time analysis module, an off-line analysis module and a fault diagnosis module; on-line monitoring and analysis are performed on the state performance signal and the vibration signal by the real-time analysis module; off-line analysis is performed on recorded data by the off-line analysis module; and fault diagnosis is performed on the unit by the fault diagnosis module. The state monitoring and fault diagnosis system is easy to operate and high in diagnosis accuracy and efficiency and can be applied to state monitoring and diagnosis of each turbine generating unit.
Owner:CHINA NAT OFFSHORE OIL CORP +1
Online monitoring system and online monitoring method for motor of electric automobile
InactiveCN101995551AAvoid accidentsTwo-way data transmission is convenient and fastVehicle testingTransmission systemsAutomotive engineeringMonitoring system
The invention relates to online monitoring technology, in particular to an online monitoring system and an online monitoring method for a motor of an electric automobile. The online monitoring system comprises a motor controller arranged on the electric automobile, a motor serving as a power driving unit of the electric automobile, and a remote monitoring management center; and the motor controller of the electric automobile directly monitors data such as various parameters of the motor controller and the motor, the running state of the motor and the like, and sends the data to the remote monitoring management center for monitoring management. The online monitoring system can directly monitor the actual running state of the motor of the electric automobile, reflects the running state of the motor of the electric automobile in real time, and realizes control of the motor state such as online tracking, monitoring, fault early warning and the like so as to discover the potential safety hazard of the motor, stop the ineffective control of the motor controller on the motor, prevent accidents and provide important safety technical guarantee for the personal safety of a driver and passengers.
Owner:ZHONGSHAN BROAD OCEAN
Sparse feature extraction method for fault signal of rotating machine
ActiveCN107992843AImprove extraction accuracyReduce complexityCharacter and pattern recognitionFrequency spectrumFeature extraction
The invention provides a sparse feature extraction method for a fault signal of a rotating machine. The method includes the steps of constructing a fault overcomplete atom library according to a faultgeneration mechanism of an impact fault of the rotating machine; calculating a multi-resolution time-frequency spectrum of a to-be-analyzed signal through multi-resolution generalized S-transform resolution and normalization processing according to a mathematical model of a to-be-observed signal and the fault overcomplete atom library; calculating a maximum value of the normalized multi-resolution time-frequency spectrum, and calculating an atom set capable of best performing sparse representation on the to-be-observed signal by combination with an orthogonal matching tracking algorithm; andaccording to the fault sparse representation signal and fault feature frequency of a device and rotating speed information, determining a fault type, to achieve a rapid fault diagnosis of the mechanical device. The sparse feature extraction method has the advantages that the complexity of the atomic search and the search time are greatly reduced, the efficiency of sparse decomposition is improved,and the efficiency of fault diagnosis of impact faults such as crack, pitting or spalling is improved.
Owner:WUHAN UNIV OF SCI & TECH +1
Vehicle fault diagnosis method, system and intelligent diagnosis server side thereof
InactiveCN109240222AAccurate fault diagnosis resultsReliable Car Quality ReportTotal factory controlProgramme total factory controlDiagnostic dataOn board
The invention discloses a vehicle fault diagnosis method. The method comprises the following steps of: acquiring a reference fault processing method and updating an expert diagnosis database. The acquisition of the reference fault processing method comprises the following steps of: acquiring reference fault reasons and the reference fault processing method according to the fault information, the real-time vehicle information and the expert diagnosis database; and sending the fault information, the real-time vehicle information, the reference fault reasons and the reference fault processing method to a client. The update of the expert diagnosis database comprises the following steps of: adding actual fault reasons and an actual fault processing method to the reference fault reasons and thereference fault processing method. The invention further provides a vehicle fault diagnosis system. The system comprises an on-board intelligent terminal, an intelligent diagnosis server side and theclient. The invention also provides an intelligent diagnosis server side for the system. According to the method, system and the intelligent diagnosis server, the technical problems are solved that the current vehicle fault diagnosis result is not accurate enough and the database is not perfect.
Owner:东风特汽(十堰)专用车有限公司
State maintenance and fault diagnosis method for power transformation equipment
InactiveCN108304931AControl power loss costReduce redundant diagnostic informationData processing applicationsNeural learning methodsElectricityDiagnosis methods
The invention relates to a state maintenance and fault diagnosis method for power transformation equipment. The method is mainly and technically characterized in that an optimized adaptive adjustment-based learning rate model is established through improving typical and differential samples. According to the optimized adaptive adjustment-based learning rate model, the state maintenance and the fault diagnosis for power transformation equipment are carried out. The method is reasonable in design, and the state maintenance and the fault diagnosis for power transformation equipment are carried out through the optimized adaptive adjustment-based learning rate model. The redundant diagnosis information can be effectively reduced. Meanwhile, the complicated calculation and derivation is not required, so that a fault recognition neural network model is more practical. The model is better in line with the actual situation and the maintenance efficiency is improved. The fault maintenance cost and the power shortage loss cost of users are controlled. The problems of blind maintenance and insufficient maintenance can be avoided. The balance among the safety, the efficiency and the economy isfully realized. The replacement, the transformation, the operation maintenance and the maintenance test of power transformation equipment are guided by the method. Meanwhile, the method provides a direct basis for the management decisions, the equipment maintenance and the like of the power transformation equipment.
Owner:ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO +2
Vibration equipment fault diagnosis method and system
ActiveCN107992801AReduce secondary informationReduce redundant informationMachine part testingCharacter and pattern recognitionDimensionality reductionSignal on
The invention discloses a vibration equipment fault diagnosis method and system, and relates to the field of equipment fault diagnosis. Vibration equipment vibrates non-periodically and / or is asymmetric in the aspect of appearance. The method comprises the following steps of: arranging two groups of vibration sensors on a vibration equipment shell at two sides of a centroid plane, wherein each group of vibration sensors comprises a plurality of vibration sensors, each vibration sensor is used for acquiring dynamic vibration signal of the equipment, and the centroid plane is parallel to a planewhere a vibration equipment base is located; analyzing the dynamic vibration signal acquired by each vibration sensor to obtain a feature weighting signal, and generating a contour feature signal ofthe vibration equipment according to all the feature weighting signals; carrying out dimensionality reduction on the contour feature signal on the basis of a nonlinear manifold learning method so as to obtain low-dimensional feature descriptions of the vibration equipment; and classifying the low-dimensional feature descriptions by adoption of a classifier so as to obtain a fault diagnosis result.The method and system are capable of effectively reducing minor and interference information in original vibration data so as to obtain stable and correct fault diagnosis results.
Owner:NO 719 RES INST CHINA SHIPBUILDING IND
Linear analog circuit fault diagnosis method
InactiveCN104198923ASimple calculationReduce complexityAnalog circuit testingSpecial data processing applicationsDiagnosis methodsAmbiguity
The invention discloses a linear analog circuit fault diagnosis method. The linear analog circuit fault diagnosis method comprises the steps of firstly simulating an analog circuit to obtain fault feature column vectors corresponding to fault source elements, dividing the corresponding fault source elements into an ambiguity set when the fault feature column vectors are identical within an error range, selecting a representative fault source element from each ambiguity set, respectively performing Q-time simulation on each representative fault source element to obtain Q fault feature column vectors, using each representative fault source element as a category, obtaining classification model data according to the corresponding fault feature column vectors, obtaining fault column vectors according to normally-operating output voltage phasor quantity vectors and fault output voltage phasor quantity vectors when the analog circuit breaks down, and classifying the fault column vectors according to the classification model data and corresponding classification methods to obtain fault diagnosis results. The linear analog circuit fault diagnosis method is simple and easy to operate and is based on multiple-time simulation, and the influence of tolerance on fault diagnosis can be effectively reduced.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Wind turbine generating set fault diagnosis method based on bispectral entropy
ActiveCN104897277AReduce distractionsEasy extractionSubsonic/sonic/ultrasonic wave measurementElectricityDiagnosis methods
The invention relates to a wind turbine generating set fault diagnosis method based on bispectral entropy. The method includes the steps: collecting vibration signals of a wind turbine generating set in a normal running state, a minor faulty state, a medium faulty state and a severe faulty state; calculating fault characteristic bands of all the vibration signals; establishing a fault deviation degree detection model; collecting vibration signals of a to-be-detected wind turbine generating set, carrying out fault characteristic band calculation on the to-be-detected vibration signals, obtained fault characteristics are input to the fault deviation degree detection model, calculating the fault deviation degree between the faulty state and the above four faulty states, and finally obtaining the minimal deviation degree which is the faulty state of the wind turbine generating set. The fault characteristics of non-stationary signals can be effectively extracted, fault diagnosis for the wind turbine generating set can be carried out, and the fault diagnosis precision can be improved. The method can be widely applied to fault diagnosis for wind turbine generating set equipment.
Owner:BEIJING INFORMATION SCI & TECH UNIV
Equipment fault reason determination method, storage medium and electronic equipment
PendingCN112163681AAccurate Fault Search TechnologyExact searchSemantic analysisCommerceData miningKnowledge graph
The invention discloses an equipment fault reason determination method, a storage medium and electronic equipment, and relates to the technical field of knowledge maps. The method comprises the steps:obtaining text information used for describing an equipment fault; extracting keywords from the text information and determining corresponding part-of-speech of the keywords in the text information;determining an association relationship between the extracted keywords according to the text information; searching a fault description path matched with the keyword, the part-of-speech correspondingto the keyword and the association relationship in a pre-constructed fault knowledge graph; searching a fault type node associated with the fault description path in the fault knowledge graph; and outputting an equipment fault reason corresponding to the fault type node. The invention has the beneficial effects that the literal semantics and the implicit semantics in the text information can be fully mined, so that accurate search is realized. By utilizing a knowledge graph technology, a knowledge graph with semantic comprehension is constructed, and a simple, efficient and accurate fault search technology is realized.
Owner:GREE ELECTRIC APPLIANCES INC +1
Fault diagnosis device and method for wind power current converter
ActiveCN106646050AAccurate fault diagnosis resultsReduce or avoid disadvantages of hard-to-diagnose faultsElectrical testingWind powerReliability engineering
The invention provides a fault diagnosis device and method for a wind power current converter, and the device comprises a fault collection module which is used for obtaining a fault signal of the wind power current converter; a time sequence generation module which is used for adding a time sequence to the fault signal obtained by the fault collection module; an expert database module which is used for carrying out the fault diagnosis of the fault signal with the time sequence. The device and method can reduce or avoid the shortcomings caused by the judgment of a maintainer through experience. The device and method can sequentially analyze the fault signals according to the time sequence, so as to diagnose the fault and find the cause of the fault more accurately. The device and method can select out a representative fault signal for analysis at first according to the time sequence, thereby quickly finding out the cause of the fault.
Owner:BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP CO LTD
Satellite sensor fault detection and positioning method based on self-encoding observer
ActiveCN111076744AImprove portabilityRich design methodInstruments for comonautical navigationArtificial intelligenceControl theory
The invention discloses a satellite sensor fault detection and positioning method based on a self-encoding observer. According to the method, fault detection and positioning are carried out on a satellite attitude sensor based on a self-encoding observer. To be specific, according to an observer design based on an auto-encoder and a support vector machine system, self-coding observers are built according to a satellite attitude measurement method, inputs and outputs of the observers are compared to generate residual errors, the support vector machine is used for detecting faults according to mean values, mean square errors and information entropies of the residual errors, and detection results of the multiple self-coding observers are combined to locate fault sensors. According to the invention, fault detection and fault positioning can be carried out in combination with signals of a plurality of satellite attitude sensors, and the reliability and ground monitoring capability of a satellite attitude control system are improved.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Motor fault diagnosis method and device, storage medium and electronic equipment
PendingCN112766042ADescribe the degree of performance degradationAccurate Fault Diagnosis ResultsMachine part testingCharacter and pattern recognitionTime domainFeature extraction
The invention relates to the technical field of fault diagnosis, in particular to a motor fault diagnosis method and device, a storage medium and electronic equipment, and solves the problem that a fault diagnosis result is inaccurate due to the adoption of single-domain feature extraction in related technologies. The method comprises the following steps: collecting a vibration signal of a to-be-tested motor; sampling the vibration signal to obtain a vibration signal sample set; extracting vibration features in the vibration signal sample set to obtain a vibration feature sample set, wherein the vibration features comprise a time domain feature, a frequency domain feature and a time frequency feature; and inputting the vibration characteristic sample set into a pre-trained diagnosis model to obtain a diagnosis result. According to the invention, fault diagnosis is carried out in a mode of extracting the multi-domain features, the performance degradation degree of the motor equipment can be accurately described, and an accurate fault diagnosis result can be efficiently obtained.
Owner:GREE ELECTRIC APPLIANCES INC +1
State monitoring and fault diagnosis system of gas turbine generating unit and use method of state monitoring and fault diagnosis system
ActiveCN102840882BLow costHighly integratedMeasurement devicesSignal processing circuitsReal time analysis
The invention discloses a state monitoring and fault diagnosis system of a gas turbine generating unit and a use method of the state monitoring and fault diagnosis system. The state monitoring and fault diagnosis system comprises a vibration monitoring module and a network module of a control system of the unit, a signal acquisition module and a computer which is provided with a LabVIEW platform, wherein a state performance signal is transmitted to the computer by the network module; the signal acquisition device is provided with a signal acquisition circuit and a signal processing circuit; a vibration signal output by the vibration monitoring module is acquired by the signal acquisition circuit, is processed by the signal processing circuit and is then transmitted to the computer; data acquisition is performed after an acquisition channel of the signal acquisition circuit is set by the LabVIEW platform; the LabVIEW platform comprises a real-time analysis module, an off-line analysis module and a fault diagnosis module; on-line monitoring and analysis are performed on the state performance signal and the vibration signal by the real-time analysis module; off-line analysis is performed on recorded data by the off-line analysis module; and fault diagnosis is performed on the unit by the fault diagnosis module. The state monitoring and fault diagnosis system is easy to operate and high in diagnosis accuracy and efficiency and can be applied to state monitoring and diagnosis of each turbine generating unit.
Owner:CHINA NAT OFFSHORE OIL CORP +1
ANN-based ACS closed loop system fault location method
ActiveCN110262447AReduce negative impactAvoid failureElectric testing/monitoringSpacecraft guiding apparatusSatelliteAttitude control
The invention discloses an ANN-based ACS closed loop system fault location method. The method locates a satellite actuator fault and a sensor fault based on a neural network. The method comprises the steps that an artificial neural network and a support vector machine system are constructed; ANN is used to carry out modeling on a satellite ACS closed loop system; comparing with an actual satellite signal is carried out to generate residuals; SVM is used to detect the faults based on the mean, mean square error and information entropy of the residuals; and according to the influence of an actuator and a sensor on an attitude control closed loop and the transfer relationship of the faults in the loop, attitude kinematics is combined to locate fault points. According to the invention, on-line fault diagnosis and locating are carried out on the actuator fault and the sensor fault of the satellite ACS closed loop system; and the control efficiency and reliability of fault-tolerant control are improved.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Vibrating screen fault intelligent diagnosis device and diagnosis method
ActiveCN112611532AFull failureComprehensive fault intelligent diagnosisVibration measurement in solidsMachine part testingData acquisitionData acquisition module
The invention discloses a vibrating screen fault intelligent diagnosis device and a vibrating screen fault intelligent diagnosis method using the same. The device comprises an equipment hardware part and a diagnosis processing part, wherein the equipment hardware part comprises a plurality of data collectors disposed on a tested vibrating screen and a host in signal connection with the data collectors; and the diagnosis processing part comprises a data acquisition module integrated in the data acquisition unit and a host module integrated in the host. According to the device, through acquisition of attitude data and vibration data, subsequent fault diagnosis results are more accurate, faults of key components in the vibrating screen can be diagnosed more comprehensively and earlier, and production and equipment losses caused by component damage are reduced.
Owner:苏州德姆斯信息技术有限公司
Automatic inspection equipment for power grid operation
ActiveCN111948501AAccurate Fault Diagnosis ResultsAvoid False PositivesFault location by conductor typesNeural architecturesNerve networkUltraviolet lights
The invention relates to the technical field of power grid operation monitoring, in particular to automatic inspection equipment for power grid operation. The equipment comprises a visible light shooting module, an infrared imaging shooting module, an ultraviolet imaging shooting module, a graying processing module, an infrared visible light fusion device, an ultraviolet visible light fusion device and a fusion result processing device. The visible light, ultraviolet light and infrared light three-in-one fusion automatic inspection function can be realized, carrying of monitoring equipment isreduced, one-by-one disassembly and assembly are not needed, and time and labor are saved. A judgment result is output, the position of a heating point is accurately obtained, and fault misinformationis avoided. A heating point training sample is compared with an infrared visible light image through a convolutional neural network to improve the accuracy of finding the heating point, a discharge phenomenon training sample is compared with a discharge phenomenon visible light image through the convolutional neural network to improve the accuracy of finding a discharge phenomenon without manually observing the image for judgment, automatic and accurate cruise diagnosis is achieved, and the risk of manual judgment errors is avoided.
Owner:广州市赛皓达智能科技有限公司
Electro-hydraulic conversion part fault diagnosis system for DEH (Digital Electro Hydraulic Control System)
ActiveCN109915218AAccurate feedbackReduce workloadFluid-pressure actuator testingMachines/enginesPower stationControl system
The invention discloses an electro-hydraulic conversion part fault diagnosis system for a DEH (Digital Electro Hydraulic Control System), and belongs to the field of digital electric-hydraulic controlof power station steam turbines. The electro-hydraulic conversion part fault diagnosis system for the DEH comprises a servo control clamping piece, an electro-hydraulic conversion part, a servo wireless diagnosis module, a mobile terminal and a service end; fault diagnosis parameters in the existing DEH / MEH (Micro Electro Hydraulic Control System) are optimized by utilizing the advantages of a fault diagnosis algorithm; the fault diagnosis parameters are optimized in the situation of ensuring normal operation of the existing diagnosis system; and the fault diagnosis parameters are updated periodically, so that fault diagnosis results are more accurate.
Owner:DONGFANG ELECTRIC AUTOMATIC CONTROL ENG CO LTD
Oil-immersed transformer fault diagnosis method and system and readable storage medium
PendingCN114358116AImprove reliabilityAccurate fault diagnosis resultsEnsemble learningElectrical testingElectrical and Electronics engineeringTransformer
The invention provides an oil-immersed transformer fault diagnosis method and system and a readable storage medium. The oil-immersed transformer fault diagnosis method comprises the following steps: S1, acquiring corresponding gas contents in different fault states and normal states; s2, screening the gas in the S1, selecting the gas with centrality and integrity as a characteristic gas input model, and performing integer coding on the transformer state corresponding to the characteristic gas as an output result of model training; s3, preprocessing is carried out, and effective data is reserved as a first training set; s4, carrying out layered division, sample synthesis balance and standardization treatment; s5, training and testing are carried out; and S6, carrying out transformer fault diagnosis. According to the invention, the defects of the existing oil-immersed transformer fault diagnosis algorithm based on the traditional artificial intelligence algorithm can be made up, the fault diagnosis accuracy of the oil-immersed transformer is improved, and the power supply reliability is improved.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
Method and device for monitoring state of AGV, edge equipment and storage medium
PendingCN111930081ASave resourcesSolve the costElectric/hybrid propulsionTotal factory controlFeature extractionControl engineering
The invention relates to a method and device for monitoring the state of an AGV, computing equipment and a storage medium. The method comprises the following steps: a first signal acquisition step: acquiring first signal data from an AGV at a first sampling rate, the first signal data at least comprising a vibration signal; a feature extraction step: extracting features from the first signal data;an abnormal state judgment step: determining whether the AGV is in an abnormal state or not based on the extracted features, executing a storage step under the condition that the AGV is determined tobe in a normal state, and executing a second signal acquisition step under the condition that the AGV is determined to be in an abnormal state; a second signal acquisition step: acquiring second signal data from the AGV at a second sampling rate, the second sampling rate being greater than the first sampling rate, and the number of types of the second signal data being equal to or greater than the number of types of the first signal data; and a storage step: storing the collected first signal data or second signal data.
Owner:SIEMENS FACTORY AUTOMATION ENG
Fault diagnosis device and method for wind power converter
ActiveCN106646050BAccurate fault diagnosis resultsReduce or avoid disadvantages of hard-to-diagnose faultsElectrical testingEngineeringComputer science
The invention provides a fault diagnosis device and method for a wind power current converter, and the device comprises a fault collection module which is used for obtaining a fault signal of the wind power current converter; a time sequence generation module which is used for adding a time sequence to the fault signal obtained by the fault collection module; an expert database module which is used for carrying out the fault diagnosis of the fault signal with the time sequence. The device and method can reduce or avoid the shortcomings caused by the judgment of a maintainer through experience. The device and method can sequentially analyze the fault signals according to the time sequence, so as to diagnose the fault and find the cause of the fault more accurately. The device and method can select out a representative fault signal for analysis at first according to the time sequence, thereby quickly finding out the cause of the fault.
Owner:BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP CO LTD
Fault detection method and device for special motor
ActiveCN112798955AAccurate Fault Diagnosis ResultsMaterial analysis by optical meansDynamo-electric machine testingElectric machineControl engineering
The invention discloses a fault detection method and device for a special motor. The method comprises the steps of obtaining first rotating speed information of a first special motor; obtaining first volume information of the first special motor; inputting the first rotating speed information and the first volume information into a first fault detection model to obtain first fault information; obtaining first image information; if the first special motor has the first smoke point, obtaining the position information of the first smoke point; obtaining first smoke amount information according to a smoke sensor; inputting the position information of the first smoke point and the first smoke amount information into a second fault detection model to obtain second fault information; obtaining third fault information; obtaining first reminding information according to the third fault information; and according to the first reminding information, reminding that the first special motor breaks down. The technical problem that in the prior art, fault diagnosis in the operation process of the special motor is not accurate enough is solved.
Owner:NANTONG WELL ELECTRIC MOTOR
Fault diagnosis knowledge graph updating method and device
PendingCN114239829AAccurate fault diagnosis resultsImplement fault diagnosisMathematical modelsKnowledge representationKnowledge graphData mining
The invention relates to a fault diagnosis knowledge graph updating method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a fault diagnosis knowledge graph, wherein the edge weight of the fault diagnosis knowledge graph comprises a subjective weight and an objective weight; performing fault diagnosis according to the edge weight of the fault diagnosis knowledge graph to obtain a fault diagnosis result recommendation list; pushing the fault diagnosis result recommendation list to the user, and collecting a feedback result of the user; and according to a feedback result, updating the subjective weight and the objective weight in the edge weights of the fault diagnosis knowledge graph to obtain an updated fault diagnosis knowledge graph. By adopting the method, high-precision fault diagnosis can be supported.
Owner:HNAC TECH
A fault diagnosis method for wind turbines based on bispectral entropy
ActiveCN104897277BReduce distractionsEasy extractionSubsonic/sonic/ultrasonic wave measurementElectricityDiagnosis methods
The invention relates to a method for fault diagnosis of wind power generators based on bispectrum entropy, the steps of which are: collecting vibration signals of wind power generators in normal operation state, mild faults, moderate faults and severe faults; calculating faults of all vibration signals Characteristic band; establish a fault alienation detection model; collect the vibration signal of the wind turbine to be detected, calculate the fault characteristic band of the vibration signal to be detected, input the obtained fault characteristics into the fault alienation detection model, and calculate the fault state and the four types The minimum distance obtained is the fault state of the fan. The invention can effectively extract the fault features of the non-stationary signal, and carry out the fault diagnosis of the wind power generating set, improve the precision of the fault diagnosis, and can be widely used in the fault diagnosis of the wind generating set equipment.
Owner:BEIJING INFORMATION SCI & TECH UNIV
Fault detection method and device for a special motor
ActiveCN112798955BAccurate Fault Diagnosis ResultsMaterial analysis by optical meansDynamo-electric machine testingControl engineeringElectric machinery
Owner:NANTONG WELL ELECTRIC MOTOR
A satellite sensor fault detection and positioning method based on self-encoding observer
ActiveCN111076744BImprove portabilityRich design methodInstruments for comonautical navigationEngineeringSatellite attitude control system
The invention discloses a satellite sensor fault detection and positioning method based on an auto-encoding observer. The method performs fault detection and positioning on a satellite attitude sensor based on the self-encoding observer, including an observer design based on the self-encoding observer and a support vector machine. The system builds a self-encoding observer according to the satellite attitude measurement method, compares the input and output of the observer to generate residuals, uses a support vector machine to detect faults according to the mean, mean square error and information entropy of the residuals, and combines multiple self-encoding observations The detection result of the sensor is used to locate the faulty sensor. The invention can perform fault detection and fault location in combination with signals of a plurality of satellite attitude sensors, thereby improving the reliability and ground monitoring capability of the satellite attitude control system.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
A vibrating screen fault intelligent diagnosis device and diagnosis method
ActiveCN112611532BFull failureComprehensive fault intelligent diagnosisVibration measurement in solidsMachine part testingData setData acquisition
The invention discloses a vibrating screen fault intelligent diagnosis device and a vibrating screen fault intelligent diagnosis method using the device. The device includes an equipment hardware part and a diagnosis processing part, wherein the equipment hardware part includes a plurality of data sets arranged on the vibrating screen to be tested. A collector and a host computer signally connected to the data collector, the diagnosis processing part includes a data acquisition module integrated in the data collector and a host module integrated in the host. Through the collection of attitude data and vibration data, the invention makes the subsequent fault diagnosis results more accurate, and can diagnose the faults of key components in the vibrating screen more comprehensively and earlier, and reduce production and damage caused by component damage. equipment loss.
Owner:苏州德姆斯信息技术有限公司
Fault diagnosis method and system for vibration equipment
ActiveCN107992801BReduce secondary informationReduce redundant informationMachine part testingCharacter and pattern recognitionNon lineariteVibration signature
Owner:NO 719 RES INST CHINA SHIPBUILDING IND
A Sparse Feature Extraction Method for Fault Signals of Rotating Machinery
ActiveCN107992843BImprove extraction accuracyReduce complexityCharacter and pattern recognitionFrequency spectrumAlgorithm
The invention provides a method for extracting sparse features of rotating machinery fault signals. According to the fault generation mechanism of rotating machinery shock faults, an over-complete atomic library of faults is constructed; Resolution generalized S transform and normalization processing to calculate the multi-resolution time spectrum of the signal to be analyzed; calculate the maximum value of the normalized multi-resolution time spectrum, and combine with the orthogonal matching pursuit algorithm to calculate a set of most sparse It represents the atomic set of the signal to be observed; according to the sparse representation signal of the fault and the fault characteristic frequency and speed information of the equipment, the fault type is determined, and the rapid fault diagnosis of the mechanical equipment is realized. The advantages are that the complexity and search time of atomic search are greatly reduced, the efficiency of sparse decomposition is improved, and the fault diagnosis efficiency of impact faults such as cracks, pitting or spalling is improved.
Owner:WUHAN UNIV OF SCI & TECH +1
A method for fault location of acs closed-loop system based on ann
ActiveCN110262447BReduce negative impactAvoid failureElectric testing/monitoringSpacecraft guiding apparatusSupport vector machineAttitude control
The invention discloses an ANN-based ACS closed loop system fault location method. The method locates a satellite actuator fault and a sensor fault based on a neural network. The method comprises the steps that an artificial neural network and a support vector machine system are constructed; ANN is used to carry out modeling on a satellite ACS closed loop system; comparing with an actual satellite signal is carried out to generate residuals; SVM is used to detect the faults based on the mean, mean square error and information entropy of the residuals; and according to the influence of an actuator and a sensor on an attitude control closed loop and the transfer relationship of the faults in the loop, attitude kinematics is combined to locate fault points. According to the invention, on-line fault diagnosis and locating are carried out on the actuator fault and the sensor fault of the satellite ACS closed loop system; and the control efficiency and reliability of fault-tolerant control are improved.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Fuzzy diagnosis method for water vapor chemical fault of thermal power generating unit
InactiveCN107340370AAccurate Fault Diagnosis ResultsAccurate diagnosisTesting waterInference methodsFuzzy ruleWater vapor
The invention relates to a fuzzy diagnosis method for the water vapor chemical fault of a thermal power generating unit. The fuzzy diagnosis method comprises: according to the type of a thermal power generating unit water vapor chemical fault to be diagnosed, determining fuzzy diagnosis monitoring parameters so as to be used as fuzzy variables; according to the determined fuzzy variables, constructing a fuzzy rule for the thermal power generating unit water vapor chemical fault; according to the constructed fuzzy rule, determining fuzzy relation matrixes corresponding to each fuzzy variable; and recording the specific values of the fuzzy variables, and carrying out fuzzy diagnosis inference according to the fuzzy relation matrixes so as to obtain the diagnosis result. Compared to the method in the prior art, the method of the present invention has advantages of fast diagnosis, accurate diagnosis result, easy achieving, and the like.
Owner:SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
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