0 Preface
At present, the complexity, automation and informatization of electronic information systems are getting higher and higher, and the requirements for reliability, maintainability and technical support are becoming more and more urgent. Failure of every component in the system can result in a chain reaction that affects system performance or causes significant economic losses. Therefore, the state monitoring and fault diagnosis technology of electronic information systems has long been valued by relevant departments in various developed countries around the world. The functional circuits of electronic information systems are mostly analog circuits, and many component parameters are highly discrete, that is, have tolerances. The ubiquity of tolerance leads to the ambiguity of actual faults and increases the difficulty factor of fault location. Therefore, for the circuit principle of this type of electronic information system, the fault diagnosis method based on the combination of fault dictionary and neural network is used to study the module-level fault diagnosis technology of a certain type of electronic information system, which has certain theoretical significance and important practical value. At the same time, the research results of this paper can be extended to other types of electronic information system fault diagnosis technology research.
1 Troubleshooting flowchart and circuit simulation
1.1 Function Module Level Troubleshooting Flowchart
Firstly, the circuit that needs to be diagnosed in a certain type of electronic information system is simulated, and then the obtained data is built into the fault dictionary. Finally, the typical fault data is found in the fault dictionary as the input of the neural network, and the BP neural network is used to locate the fault. On the specific components. Figure 1 shows the block-level fault diagnosis flowchart.
1.2 Circuit Simulation
A typical circuit diagram in a certain type of electronic information system is shown in 2.
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