Multi-parameter integration real-time normally-running state prediction method for high voltage power supply of radar transmitter

Abstract

The invention discloses a multi-parameter integration real-time normally-running condition prediction method for a high voltage power supply of a radar transmitter. The method comprises the following steps of: monitoring input voltage, current, output voltage, and current signals of the high voltage power supply in real time and on line, calculating to acquire four parameter values, namely the output voltage, output resistance, output ripples, and power supply efficiency in real time, and constructing a four-dimensional vector which is used as a fault characteristic vector of the high voltage power supply; performing phase-space reconstruction of four parameters by a genetic algorithm and a least square support vector machine algorithm according to historical time series data of the four parameters, namely the output voltage, output resistance, the output ripples, and the power supply efficiency; obtaining four parameter values at certain moment in future and the corresponding fault characteristic vector by a multivariate time series locality predication integration method; and finally after the fault characteristic vector of the high voltage power supply at certain moment in the future is normalized, and calculating to obtain the Euclidean distance between the normalized fault characteristic vector and the standard fault characteristic vector, wherein the Euclidean distance is used for estimating the running state of the high voltage power supply. By the method, the state of the high voltage power supply of the radar transmitter can be monitored in real time, and the fault of the high voltage power supply can be predicted, and accurate and real-time information is provided for estimation of the running state and the on-condition maintenance of the high voltage power supply of the radar transmitter.

Description

technical field [0001] The invention relates to the technical field of high-power switching power supply failure prediction and health management, in particular to a health prediction method applied to a high-voltage power supply of a radar transmitter. Background technique [0002] Radar is an electronic device that uses electromagnetic waves to detect targets. The high-voltage power supply in the radar transmitter not only supplies the high-power energy of the traveling wave tube, but also plays a vital role in the performance index of the transmitter's output radio frequency signal, the volume and weight of the transmitter, and is a key component in the radar system. . However, the high-voltage power supply in the radar transmitter works under high-voltage and high-current conditions for a long time, and the working space environment is complex, which will inevitably lead to abnormal operation of the radar power supply system, and the failure rate has always been high. ...

AI Technical Summary

Problems solved by technology

The switching power supply circuit contains power switching devices, which have the characteristics of strong nonlinearity, high frequency and high noise, and it is difficult to establish a mathematical model

In addition, due to the different life and reliability of different components, the performance degradation and interaction coupling of each component in the circuit, it is difficult to accurately predict the circuit or equipment composed of them

At this stage, the fault prediction of switching power supply is mostly the prediction of key components in the circuit, while there are few researches on fault prediction at the circuit level, and only a single parameter such as the output voltage value of the circuit is used to evaluate the circuit status, which cannot truly reflect the characteristics of the circuit fault. Accurately Predict Circuit Health

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