An Optimal Method for Predicting Characteristic Parameters of Radio Frequency Circuit Faults
A technology for characterizing parameters and radio frequency circuits, applied in the field of radio frequency engineering, it can solve the problem of parameter selection methods without clear process specifications, and achieve the effect of low cost and reducing the crisis of modification
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Embodiment 1
[0023] Divide the RF circuit system hierarchically according to signal flow, functional category and functional level, and divide the analysis circuit into functional modules with independent functions; analyze the fault characterization or detection parameters of each layer of functions, and analyze all outputs of each functional module Analyze the ports and list all the testable parameter information of the output ports at each level; analyze the historical data of the analysis object, extract the parameters that can characterize the health from the historical data analysis results, and analyze the information contribution rate of the relevant parameters. Determine the importance; according to the combination of the determined importance parameters, a fault prediction sensitive characterization parameter combination set containing most of the parameter information of each layer of functional modules is formed; the characterization parameters obtained by direct elimination are ...
Embodiment 2
[0025] (1) Divide the radio frequency circuit system hierarchically according to signal flow, functional category and functional level, and divide the analysis circuit into functional modules with independent functions.
[0026] (2) Analyze the fault representation or detection parameters of the functions of each layer, analyze all the output ports of the divided functional modules, and list all the testable parameter information of the output ports of each layer.
[0027] (3) First, determine the key components that have a greater impact on health or failure. The main method is to use historical data to calculate the failure rate data of all devices, analyze the historical data of the analysis object, and extract from the historical data analysis results. Parameters that can characterize health and sort the failure rate data; secondly, analyze the failure modes and influencing parameters of all devices, and select device parameters that reflect the failure mode; collect normal...
Embodiment 3
[0041] refer to figure 2 . Combined with the optimization process, the typical RF power module is used as the implementation object to carry out the parameter optimization description. First, the RF power module is divided according to the functional level. The functional division of the power module is shown as follows figure 2As shown, it is divided into input filter module and protection circuit module, DC / DC DC / DC conversion circuit 1, DC / DC conversion circuit 2, output filter circuit 1, output filter circuit 2, output filter circuit 3 and related control circuit modules , analyze the characteristic parameters or detection parameters, and obtain the characteristic parameters of the working performance of the RF power module. According to the characteristic parameters of the normal working performance of the RF power module, adopt the method based on FMEA analysis, combine the analysis of fault tree analysis and historical case data, and construct The failure prediction ...
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