34 results about "Diagnostic reasoning" patented technology

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.