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35 results about "Diagnostic reasoning" patented technology
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Rotating machinery vibrating failure diagnosis device and method
InactiveCN101135601AImprove reliabilityFriendly man-machine interfaceMachine part testingVibration testingHuman–machine interfaceData pre-processing
The method comprises: using a sensor to collect the characteristic signals; the collected signals about each kind of running state are sent to the data processing module; after processed, the signals are sent to the computer system; said computer system comprises a device database, a symptom event database, a diagnosis knowledge database; a device database and signal analysis module, a symptom acquiring module, a diagnostic reasoning module, and a diagnosis explaining module; the software of the data processing module makes data exchange; the symptom event database exchanges data with the diagnostic module, data processing module; the diagnostic knowledge exchanges the data with the failure processing module, knowledge acquiring module and data processing module.
Owner:北京英华达电力电子工程科技有限公司
Intelligent fault diagnosis system for ICNI system
InactiveCN105302112AConvenient reasoningEasy to explainProgramme controlElectric testing/monitoringRelational databaseSql server
The invention discloses an intelligent fault diagnosis system for an ICNI system, which can improve the maintenance efficiency, carry out intelligent and automatic diagnosis and is applicable to the ICNI system. According to the technical scheme of the invention, a knowledge base and a management module thereof carry out standardization research and mathematical modeling based on a fault tree, an SQL Server database software framework is adopted, a relational database is used for building a logic relation among a fault phenomenon, a fault mode, a detection method, a historical case and a fault tree internal event to form the knowledge base; and a diagnosis information acquisition module interacts with an automatic testing system via Ethernet to acquire diagnosis data from the ICNI system and a testing instrument, a reasoning machine module adopts CBR and RBR hybrid diagnostic reasoning, after comprehensive judgment is carried out on the fault phenomenon inputted by the user, the field knowledge stored by the knowledge base and the diagnosis data from the automatic testing system, a reasoning method is automatically selected to carry out reasoning diagnosis on the fault, a reasoning process and a reasoning result are outputted to an explanation machine module, and a diagnosis report is generated.
Owner:10TH RES INST OF CETC
Overhead power transmission line running state assessment method based on bidirectional Bayesian network
ActiveCN103793853AGuaranteed healthy operationAchieve sufficiencyData processing applicationsCausal reasoningNetwork structure
The invention discloses an overhead power transmission line running state assessment method based on a bidirectional Bayesian network. The method can be used for conducting a real-time assessment on the running state of an overhead power transmission line. According to the method, a Bayesian network structure for the assessment of the running state of the power transmission line is constructed with various factors which influence the running state of the power transmission line serving as a condition attribute set and the running state of the line serving as a decision attribute, a conditional probability table is obtained according to sample training, and by utilizing the bidirectional reasoning technology dedicated to the Bayesian network, the running state of the line can be judged by means of causal reasoning, and the hidden danger of the state can also be recognized by means of diagnostic reasoning; when an assessment error exists, a self-feedback system can be used for conducting early warning and correction, an assessment database, the network structure and parameters can be modified dynamically in real time so as to be adapted to an update, and therefore healthy running of the power transmission line is truly guaranteed.
Owner:EXAMING & EXPERIMENTAL CENT OF ULTRAHIGH VOLTAGE POWER TRANSMISSION COMPANY CHINA SOUTHEN POWER GRID +1
Intermittent fault detection and reasoning
InactiveUS20100082197A1Vehicle testingRegistering/indicating working of vehiclesMonitoring systemIntermittent fault
A method for diagnostic reasoning of faults appearing in a vehicle health monitoring system (VHM) is provided. One of alternatively a signal mode or a failure mode state is identified based on an input. If a signal is identified, the signal is queried to determine if the signal indicts a failure mode. If the signal indicts the failure mode, an intermittent watch flag is set for the failure mode. A count representing a number of occurrences of the signal as an intermittent fault is incremented. It is determined if the count exceeds a predetermined threshold. If the count exceeds the predetermined threshold, the intermittent fault is determined to be a permanent fault.
Owner:HONEYWELL INT INC
Methods and systems for distributed diagnostic reasoning
InactiveUS20130097459A1Facilitate data flowFault responseTesting/monitoring control systemsComputer moduleComplex system
A method for distributed diagnostic reasoning is provided. The method includes establishing a computing node monitoring the operation of a component of a complex system and populating at least one of a processor and the memory of the computing node with one or more standardized executable application modules (SEAMs) and a workflow service. The method further includes creating a configuration file in combination with several SEAMS to create a distributed diagnostic reasoner (DDR) associated with the component. The method also comprises installing the configuration file in the computing node for execution by the processor; and initializing the one or more SEAMS, the configuration file and the workflow service, wherein the workflow service facilitates data flow between the one or more SEAMS and the static data associated with a fault condition resident in the configuration file.
Owner:HONEYWELL INT INC
System and method suitable for quality control of reverse solidification technique
The invention discloses a system and a method suitable for quality control in an inverse solidification process. The system mainly comprises a data acquisition module, a visualized display module, and an adaptive expert system, wherein the adaptive expert system comprises a defect diagnostic reasoning module, a processing parameter reasoning module, an adaptive rule base correcting module, and a knowledge base. The processing parameter reasoning module reasons and provides optimized processing parameters before production, the data acquisition module and the visualized display module carry out data acquisition and visualized animation display on a detected production process, the defect diagnostic reasoning module analyzes performance and defects of products, and the adaptive rule base correcting module extracts defect analysis result of the products and the processing parameters re-correct rule to be fed back and applied to the processing parameter reasoning module so as to carry out a new production process. The system and the method can remarkably improve combination quality of a motherboard solidification layer in the inverse solidification process, accumulate processing experience, reduce defect, and save experiment expense.
Owner:BEIHANG UNIV
Method for analyzing cause of highway traffic accident
InactiveCN109523786AImprove efficiencyHigh precisionDetection of traffic movementMaximum a posteriori estimationTraffic accident
The invention provides a method for analyzing the cause of a highway traffic accident, and belongs to the technical field of traffic safety management and control. The method comprises a step of establishing a highway traffic accident fault tree model based on highway traffic accident record data, a step of constructing a highway traffic accident Bayesian network model based on the fault tree model, a step of quantitatively analyzing the highway traffic accident fault tree model, a step of solving the maximum posterior probability of a target node and the contribution rate of each factor to the accident by using the highway traffic accident Bayesian network model and performing diagnostic reasoning with the combination of a quantitative analysis result, a step of performing sensitivity analysis on each factor to find a basic event which is most sensitive to each factor, and a step of combining the contribution rate of each factor to the accident and the basic event which is most sensitive to each factor. According to the method, the problem of a large calculation amount or an inaccurate analysis result of the reason analysis of the highway traffic accident at present is solved. Themethod can be used for analyzing the highway traffic accident.
Owner:HARBIN INST OF TECH
Rapid failure diagnosis reasoning machine
The invention relates to a fault diagnosis inference engine, which shows premonition information obtained by fault detection through bit vectors, shows all regulations needed by the fault diagnosis through the bit vectors with identical length, and realizes the fast fault diagnosis according a bit vector logical operation. The regulations which are showed in terms of bit vectors and are loaded in a computer memory can accept the space of the memory, thereby avoiding repeatedly rereading a database of the regulations during the inference procedure, reducing of the cost of the used time of the regulations, and increasing the inference speed. The computer is fast in processing the logical operation of the bit vectors, and enables the regulation matching processing speed of the inference engine to increase further. The system can perform fast fault diagnosis inference under the conditions that the test system is huge in regulation knowledge base and great in detection information quantity. The invention has been applied in the development of a fault diagnosis expert system of a certain type carrier rocket.
Owner:李清东
Interactive electronic technical manual system and method
InactiveUS20130014012A1Input/output processes for data processingSignal correlationHuman–computer interaction
Methods and systems are provided for an interactive electronic technical manual system. A system includes a user interface for receiving input from a user and providing output to the user. A database stores instructions associated with tasks. The system also includes a diagnostic reasoner for receiving commands, controlling an external device in response to the commands to implement a test of the external device, and sensing signals associated with the test of the external device. The system further includes an interface module in communication with the user interface, the database, and the diagnostic reasoner. The interface module sends instructions associated with tasks to the user interface from the database, conveys commands from the user interface to the diagnostic reasoner, receives data associated with the signals sensed by the diagnostic reasoner, and analyzes the data associated with the signals.
Owner:HONEYWELL INT INC
Electrocardiogram computer-aided diagnosis system and method
The invention discloses an auxiliary diagnostic system and method of a electrocardiogram computer, comprising the following steps: A1, receiving electrocardiosignals and calculating the characteristic parameters of the electrocardiosignals; B1, making sure of the symbol values of the characteristic parameters according to symbol values defined in concentration by symbols to cardiogram diagnostic parameters; C1, reasoning and judging diagnostic rules in a symbolized diagnostic rule base according to the symbol values of the characteristic parameters; D1, identifying and analyzing categories of an initial diagnosed result and optimizing the initial diagnosed result according to a conflict resolution rule base which is defined with identification relationships among categories which are easy to be confused and with priority ordering relationships among categories. The invention separates the diagnosis and reasoning process into two stages, an initial diagnosis and a conflict resolution, improving the reliability of the reasoned result, simplifying the entire reasoning process, achieving judges of a great deal of pathological signals and facilitating the maintenance, upgrade and improvement of the entire diagnostic system.
Owner:SHENZHEN MINDRAY BIO MEDICAL ELECTRONICS CO LTD
Mobile phone having body health assessment function
The utility model belongs to communication equipment in the mobile communication field and particularly designs a smartphone based mobile phone having a body health assessment function. Auxiliary functions of the existing mobile phone comprise entertainment and simple pulse measuring functions and the existing mobile phone does not have a complete health assessment function. According to the mobile phone having the health assessment function, health information of an assessed object is collected in two modes of man-machine communication and sensor detection, collected information is processed and analyzed to be served as direct argument, the direct argument is compared with a diagnostic reasoning formula in a traditional Chinese and western medicine diagnostic formula library, and finally the body health condition of the assessed object is derived. The mobile phone having the health assessment function comprises a hardware portion and a software portion; except hardware portions of a traditional mobile phone, the hardware portion also comprises a signal collection sensor portion and a corresponding driving circuit portion; except software portions of the traditional mobile phone, the software portion also comprises a man-machine communication subprogram, a sensor signal obtaining and processing subprogram, a traditional Chinese and western medicine diagnostic formula library subprogram and a human body health assessment main program.
Owner:马利东
Test and diagnosis integrated development platform based on domestic operating system
ActiveCN111782539AAchieve standardizationImprove versatilitySoftware testing/debuggingInformation layerOperational system
The invention discloses a test and diagnosis integrated development platform based on a domestic operating system, and the platform is suitable for the field of equipment testing. The platform comprises a test resource management module which generates a UUT description, participates in test instrument configuration and the construction of system resource analysis and mapping of a tool set, and generates a test operation instruction set used for compiling a test instruction set of a test and diagnosis runtime tool set, the test instruction set is compiled and connected with an executable dynamic library, the executable dynamic library is connected with an IVI instrument driver and test execution and diagnosis reasoning execution, and the test execution and the diagnosis reasoning executioncomprises a test program sequence file, the test point description of the automatic test program development module is generated by a test diagnosis strategy, and the test program sequence file is generated by an automatic test program operation module. According to the platform, hierarchical design is adopted, the standardization of a software information layer and the structuralization of a software system are achieved, the structure of each layer can be reused and independently upgraded, and the universality and expansibility of the software system structure are achieved.
Owner:中国人民解放军32181部队
Electric locomotive writing pole permanent magnet synchronous traction system based on guiding of expert system
InactiveCN110133501ADatabase management systemsNeural architecturesTraction systemElectric machinery
The invention discloses a technology of using artificial intelligence such as an expert system, a neural network and the like to diagnose a fault of a writing pole permanent magnet synchronous traction system. The specific technical implementation process comprises the steps of firstly extracting a fault symptom, searching cases that are the same as or similar to the current symptom, and if the symptoms are successfully matched, listing similar cases according to similarity; then matching the feature values of the similar cases with the status value of a current traction motor, to acquire thebest case, so as to diagnosis the transaction system, wherein such a process is named as backward verification. The inference mechanism also can be used for correcting the case, and the corrected casecan be used as a new case to be added into a case library. According to the system provided by the invention, the fault diagnosis of the electric locomotive traction system is relatively high in accuracy.
Owner:XIANGTAN UNIV
Embedded-type real-time diagnostic reasoning algorithm experiment method for airplane
ActiveCN106294121AImprove verification efficiencyImprove developmentSoftware testing/debuggingInference methodsJet aeroplaneData simulation
The invention discloses an embedded-type real-time diagnostic reasoning algorithm experiment method for an airplane. The embedded-type real-time diagnosis reasoning algorithm experiment method is as follows: a master control device registers a to-be-verified diagnostic reasoning algorithm; the master control device integrates the registered to-be-verified diagnostic reasoning algorithm into an embedded-type target machine; a data simulation device starts a fault simulation model to generate corresponding simulation fault data according to a simulation fault instruction of generating simulation fault data from the master control device; the embedded-type target machine utilizes the to-be-verified diagnostic reasoning algorithm to perform reasoning calculation on the simulation fault data and sends the calculation result to the master control device; and the master control device evaluates the performance of the to-be-verified diagnostic reasoning algorithm through analyzing the calculation result. The embedded-type real-time diagnostic reasoning algorithm experiment method can be used for solving the difficulty of verifying the real-time diagnostic reasoning algorithm on the airplane in the prior art.
Owner:北京恒兴易康科技有限公司
Method and system for optimal data diagnosis
In the method and system for automated data diagnosis, a relational data base is formed of attributes characterizing an entity. The framework computes optimal diagnosis for a diagnostic inference problem which separates the desirable attributes from the undesirable attributes. The user of the system is permitted to specify certain parameters based on which the system computes a set of optimal or near optimal association rules between the attributes of a specific process, product, or other entity. The system and method of the present invention considers the simplicity of conditions in addition to support and confidence when ordering them, contributes the notion of tight conditions and semi-equivalence to remove redundant rules, uses the concept of the top fringes which allows near optimal conditions to be found, in addition to optimal conditions. Numeric as well as non-numeric attributes can be analyzed.
Owner:MARYLAND UNIV OF
Common rail system fault diagnosis system
ActiveCN105179134AAccurate discoveryEasy to understandEngine testingFuel injection apparatusCommon railDiagnosis methods
The invention provides a common rail system fault diagnosis system. The common rail system fault diagnosis system comprises a fault type selection interface, fault type operation interfaces, a fault code inquiry interface and a learning function interface, wherein the fault type selection interface is used for displaying various common fault types of an engine, people can have access to the corresponding fault type operation interface after selecting a fault type, the fault type operation interfaces are used for displaying various diagnosis steps and normal data or normal graphs during diagnosis, the fault code inquiry interface is used for displaying the meaning of the current fault code and dealing measures, and the learning function interface is used for adding diagnosis steps which are not contained in the original system to the system. By the adoption of the common rail system fault diagnosis system, diagnostic reasoning can be conducted according to the fault type, detailed diagnosis steps can be provided, and fault diagnosis can be instructed; the position of the current diagnosis step in the whole diagnosis process and the diagnosis operation process can be learnt during diagnosis; the meaning of the fault code can be inquired; diagnosis methods which are not contained in the system can be learnt and added to the system.
Owner:CHINA FAW LIMITED WUXI FUEL INJECTIONEQUIP RES INST +1
Monitoring data-based transformer state expert diagnosis method
InactiveCN106405271AAvoid uncertaintyConvenient operation and maintenance managementElectrical testingTransformerDiagnostic reasoning
The invention provides a monitoring data-based transformer state expert diagnosis method. The method includes the following steps that: 1, an expert system knowledge base is constructed, wherein the expert system knowledge base is the core of an expert system, and the construction process of the complete expert system knowledge base includes knowledge expression, knowledge acquisition, knowledge storage, knowledge consistency detection and database design; 2, expert scoring rules are established; 3, diagnostic reasoning is carried out, wherein the diagnostic reasoning adopts forward reasoning; and 4, a diagnostic result is obtained. According to the invention, a transformer state comprehensive diagnosis system is built based on expert system theory knowledge, and fast and accurate state diagnosis can be performed on the real-time monitoring data of a transformer based on expert knowledge.
Owner:SHANGHAI JUFANG SOFTWARE TECH
Fault detecting method and device of radar frequency synthesizer system
InactiveCN107607921ALower requirementSure easyWave based measurement systemsFrequency synthesizerDiagnostic reasoning
The invention relates to a fault detecting method and device of a radar frequency synthesizer system. The method comprises the steps that according to a prebuilt fault detecting model, prompt information generated at each fault monitoring point in the running process of the radar frequency synthesizer system is monitored; when the prompt information generated at the first fault monitoring point inthe running process of the radar frequency synthesizer system is matched with the fault information obtained when one or more faults in at least one fault occur, it is determined that one or more faults occur at the first fault monitoring point, wherein the first fault monitoring point is any one fault monitoring point in at least one fault monitoring point. According to the prebuilt fault detecting model, the prompt information generated at each fault monitoring point in the running process of the radar frequency synthesizer system, if the prompt information is matched with the fault information obtained when the faults occur, it can be directly determined that the faults occur at the monitoring point. Moreover, it can be directly determined that what faults occur, the fault detecting and diagnosing difficulty is reduced, the diagnostic reasoning efficiency is improved, and monitoring and diagnosis are easy to achieve.
Owner:BEIJING INST OF RADIO MEASUREMENT
Methods and systems for distributed diagnostic reasoning
InactiveUS8726084B2Facilitate data flowError detection/correctionTesting/monitoring control systemsComplex systemApplication module
A method for distributed diagnostic reasoning is provided. The method includes establishing a computing node monitoring the operation of a component of a complex system and populating at least one of a processor and the memory of the computing node with one or more standardized executable application modules (SEAMs) and a workflow service. The method further includes creating a configuration file in combination with several SEAMS to create a distributed diagnostic reasoner (DDR) associated with the component. The method also comprises installing the configuration file in the computing node for execution by the processor; and initializing the one or more SEAMS, the configuration file and the workflow service, wherein the workflow service facilitates data flow between the one or more SEAMS and the static data associated with a fault condition resident in the configuration file.
Owner:HONEYWELL INT INC
CAD (Computer-Aided Diagnosis) system and method of ECG (Electrocardiogram)
InactiveCN101904741AEasy maintenanceEasy to upgradeDiagnostic recording/measuringSensorsEcg signalPhacus
The invention discloses CAD (Computer-Aided Diagnosis) system and method of an ECG (Electrocardiogram). The method comprises the following steps of: (A1) receiving an ECG signal and calculating the characteristic parameters of the ECG signal; (B1) confirming a symbolic value of each characteristic parameter according to symbolic values defined to ECG diagnosis parameters in a symbol set; (C1) reasoning and determining a symbolized diagnosis rule in a diagnosis rule library according to the symbolic values of the characteristic parameters and confirming an initial diagnosis result; and (D1) identifying and analyzing the category of the initial diagnosis result according to the contents of a conflict resolution rule library in which the identification relation of easily-confused category questions and the prioritization relation of the category questions are defined so as to optimize the diagnosis result. By separating a diagnostic reasoning process into two stages: an initial diagnosis stage and an impact resolution stage, the invention improves the reliability of ratiocination results, is simple and clear in the whole ratiocination process, can identify a great amount of pathological signals, and is convenient to maintain, upgrade and improve the whole diagnosis system.
Owner:上海剑幸生物科技有限公司
A time-varying reliability assessment method for mechanical systems based on dynamic Bayesian networks
InactiveCN104794296BImprove performanceImprove reliabilitySpecial data processing applicationsNODALMechanical reliability
The invention discloses a time-varying reliability evaluation method for a mechanical system based on a dynamic Bayesian network. The time-varying reliability of mechanical systems is calculated by using the Sterling information update formula and Monte Carlo simulation. Beneficial effects of the invention: Bayesian network provides a graphical representation method of knowledge, which can describe the causal probability relationship between node variables in a directed graphical manner, which can be used for uncertainty knowledge expression, causal reasoning and diagnostic reasoning Wait. The reasoning of the Bayesian network can effectively identify the weak links of the system reliability; its graphical display makes the relationship between the components in the mechanical system more intuitive and clear, and the dynamic Bayesian network technology is applied to the time-varying reliability of the mechanical system Evaluation, analysis of the multi-state and failure correlation of the mechanical system, to improve the theoretical support for improving the performance and reliability of the mechanical system.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Multi-mode diagnostic reasoning method for power distribution network
PendingCN114722248AHighlight substantive featuresSignificant progressOther databases queryingInference methodsData miningDiagnostic reasoning
The invention provides a multi-mode diagnostic reasoning method for a power distribution network. The method comprises the following steps: constructing a rule case library; after the target case is obtained, similar cases are retrieved from the rule case library; obtaining a rule case diagnosis reasoning strategy corresponding to the similar case in the rule case library; and performing diagnostic reasoning on the target case according to the obtained rule case diagnostic reasoning strategy. According to the method, a power distribution network fault diagnosis strategy is realized in combination with case reasoning on the basis of rule acquisition, when a target case is a new problem, a rule case library is retrieved by using switching value and digital value information described by a target, and if a similar object can be found in the rule case library, a fault diagnosis strategy is established. If yes, the existing cases are reused to solve new problems; if a very similar object cannot be found, the content in the rule case library is corrected, and the corrected content can be used as a solution and stored in the rule case library to serve as a new solution, so that efficient and accurate diagnosis of the fault is realized.
Owner:内蒙古电力(集团)有限责任公司包头供电分公司 +1
A domain-oriented extensible expert system knowledge representation language system
ActiveCN109146079AImprove efficiencyFriendly human-computer interactionKnowledge representationRepresentation languageCode writing
A domain-oriented extensible expert system knowledge representation language system comprises an ontology language library, a user domain language, a rule editor and a language compiler, wherein the ontology language library can satisfy the expression and description of ontology objects in different domains, and realize the dynamic expansion of different domains, the user Domain Language (UDL) isused to express knowledge in all domains, which consists of grammar and vocabulary, domain experts can express knowledge flexibly by using familiar vocabulary on the premise of following the requirements of system grammar, avoiding the unnecessary process of learning computer code writing; vocabulary packs are generated based on ontology language library, vocabulary can be expanded dynamically andflexibly without recompiling and distributing software; the rule editor can help domain experts to express knowledge easily; the language compiler can convert the expert domain language into machine-recognizable computer language and start the reasoning engine to execute diagnostic reasoning. The system is flexible, efficient, friendly and scalable.
Owner:XIAN RUIYIDA WIND POWER TECH
Aircraft embedded real-time diagnostic reasoning algorithm test method
ActiveCN106292330BImprove verification efficiencyReduce verification costsSimulator controlData simulationReasoning algorithm
The invention discloses a testing method of an aircraft embedded type real-time diagnosis reasoning algorithm. The testing method comprises the following steps of enabling a main control device to register a to-be-verified diagnosis reasoning algorithm; enabling the main control device to integrate the registered to-be-verified diagnosis reasoning algorithm into an embedded type target aircraft; enabling a data simulating device to obtain corresponding actual fault data from a fault injection system of a test bench according to a fault injection command for injecting the actual fault data sent by the main control device; reasoning and computing the actual fault data by the embedded type target aircraft by using the to-be-verified diagnosis reasoning algorithm, and sending the computing result to the main control device; enabling the main control device to analyze the computing result, and evaluating the property of the to-be-verified diagnosis reasoning algorithm. The testing method has the advantage that the problem of difficulty in verification of the real-time diagnosis reasoning algorithm on the aircraft in the prior art is solved.
Owner:BEIHANG UNIV
A Data-Driven Adaptive Multilayer Flow Model Equipment Diagnosis Method
ActiveCN103617105BImprove accuracyGood explainabilityDetecting faulty computer hardwareCharacter and pattern recognitionDevice failureDiagnostic reasoning
The invention discloses a data-driven self-adaptive multi-layer flow model equipment diagnosis method, which combines the better accuracy based on the data-driven method and the better interpretability based on the multi-layer flow model method, and overcomes the traditional The fixed abnormal alarm threshold in the multilayer flow model method is easy to cause missing alarms, which leads to wrong diagnosis results. Based on the data-driven equipment status classification and identification results, the abnormal alarm threshold of the multi-layer flow model is adaptively adjusted, and the current equipment status is further confirmed through the multi-layer flow model anomaly detection and diagnostic reasoning to enhance the reliability of equipment fault diagnosis. The equipment diagnosis method has important scientific research value and engineering application value.
Owner:HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
Aircraft embedded real-time diagnostic reasoning algorithm test system
InactiveCN106295809BImprove verification efficiencyReduce verification costsDesign optimisation/simulationInference methodsJet aeroplaneDevice register
The invention discloses an embedded real-time diagnosis inference algorithm testing system of an airplane. The system comprises a master control device, a data simulation device and an embedded target machine; the master control device registers a diagnosis inference algorithm to be verified, integrates the registered diagnosis inference algorithm to be verified in the embedded target machine, and emits a fault generation instruction to generate fault data; the data simulation device generates corresponding fault data according to the fault generation instruction emitted by the master control device; the embedded target machine runs the diagnosis inference algorithm to be verified to carry out inference caculation the fault data, and sends a calculation result to the master control device; and the master control device analyzes the calculation result, and evaluate performance of the diagnosis inference algorithm to be verified. According to the invention, the difficulty in verifying the diagnosis inference algorithm in real time in the prior art is overcome.
Owner:北京恒兴易康科技有限公司
Aircraft embedded real-time diagnostic reasoning algorithm test method
InactiveCN106294121BImprove verification efficiencyReduce verification costsSoftware testing/debuggingInference methodsData simulationDevice register
The invention discloses an embedded-type real-time diagnostic reasoning algorithm experiment method for an airplane. The embedded-type real-time diagnosis reasoning algorithm experiment method is as follows: a master control device registers a to-be-verified diagnostic reasoning algorithm; the master control device integrates the registered to-be-verified diagnostic reasoning algorithm into an embedded-type target machine; a data simulation device starts a fault simulation model to generate corresponding simulation fault data according to a simulation fault instruction of generating simulation fault data from the master control device; the embedded-type target machine utilizes the to-be-verified diagnostic reasoning algorithm to perform reasoning calculation on the simulation fault data and sends the calculation result to the master control device; and the master control device evaluates the performance of the to-be-verified diagnostic reasoning algorithm through analyzing the calculation result. The embedded-type real-time diagnostic reasoning algorithm experiment method can be used for solving the difficulty of verifying the real-time diagnostic reasoning algorithm on the airplane in the prior art.
Owner:北京恒兴易康科技有限公司
Evaluation Method of Overhead Transmission Line Operation Status Based on Bidirectional Bayesian Network
ActiveCN103793853BGuaranteed healthy operationAchieve sufficiencyData processing applicationsCausal reasoningNetwork structure
Owner:EXAMING & EXPERIMENTAL CENT OF ULTRAHIGH VOLTAGE POWER TRANSMISSION COMPANY CHINA SOUTHEN POWER GRID +1
Common Rail System Fault Diagnosis System
ActiveCN105179134BAccurate discoveryEasy to understandEngine testingFuel injection apparatusCommon railDiagnosis methods
The invention provides a common rail system fault diagnosis system. The common rail system fault diagnosis system comprises a fault type selection interface, fault type operation interfaces, a fault code inquiry interface and a learning function interface, wherein the fault type selection interface is used for displaying various common fault types of an engine, people can have access to the corresponding fault type operation interface after selecting a fault type, the fault type operation interfaces are used for displaying various diagnosis steps and normal data or normal graphs during diagnosis, the fault code inquiry interface is used for displaying the meaning of the current fault code and dealing measures, and the learning function interface is used for adding diagnosis steps which are not contained in the original system to the system. By the adoption of the common rail system fault diagnosis system, diagnostic reasoning can be conducted according to the fault type, detailed diagnosis steps can be provided, and fault diagnosis can be instructed; the position of the current diagnosis step in the whole diagnosis process and the diagnosis operation process can be learnt during diagnosis; the meaning of the fault code can be inquired; diagnosis methods which are not contained in the system can be learnt and added to the system.
Owner:CHINA FAW LIMITED WUXI FUEL INJECTIONEQUIP RES INST +1
Method for diagnosing compressor-associated failure based on Bayesian network
InactiveCN101915234BRealize accumulationReduce the sample size of the experimentPump testingPositive-displacement liquid enginesDiagnosis methodsSystem failure
Owner:XI AN JIAOTONG UNIV
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