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基于自適應LS-SVM的雷達T/R組件熱管冷卻故障診斷系統設計
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Design of Fault Diagnosis System for Heat Pipe Cooling of Radar T/R Module Based on Adaptive LS-SVM
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    摘要:

    傳統雷達T/R組件熱管冷卻故障診斷系統受到表面振動(dòng)信號干擾,存在診斷精度較差的問(wèn)題,針對該問(wèn)題,提出了基于自適應LS-SVM的雷達T/R組件熱管冷卻故障診斷系統設計。根據雷達T/R組件熱管冷卻工作原理,設計該故障檢測系統的結構和功能,其中系統設備是由數字化收發(fā)芯片、VXI總線(xiàn)多DSP并行處理模塊、控制電路和故障診斷電路構成的,通過(guò)數字化收發(fā)芯片,產(chǎn)生相應脈沖壓縮雷達信號,采用TMS302VC5409型號芯片設計的DSP并行處理模型,對缺少上拉電阻的中斷輸入口設置多個(gè)引腳,將信號由電纜傳送至驅動(dòng)電路中,達到雷達波束控制目的。采用霍爾元件對電路進(jìn)行診斷,經(jīng)過(guò)故障樣本特征提取,引用自適應加權 LS-SVM,確定故障類(lèi)型,根據診斷流程,完成故障診斷系統設計。通過(guò)實(shí)驗結果可知,該系統最低診斷精度也可達到92%以上,為雷達穩定運行提供支持。

    Abstract:

    The traditional radar T/R component heat pipe cooling fault diagnosis system is disturbed by surface vibration signals, and there is a problem of poor diagnostic accuracy. Aiming at this problem, the design of radar T/R component heat pipe cooling fault diagnosis system based on adaptive LS-SVM is proposed. According to the working principle of heat pipe cooling of radar T/R components, the structure and function of the fault detection system are designed. The system equipment is composed of digital transceiver chip, VXI bus multi-DSP parallel processing module, control circuit and fault diagnosis circuit. The chip generates the corresponding pulse compression radar signal, adopts the DSP parallel processing model designed by the TMS302VC5409 model chip, sets multiple pins for the interrupt input port lacking the pull-up resistor, and transmits the signal from the cable to the drive circuit to achieve the purpose of radar beam control. . The Hall element is used to diagnose the circuit. After the fault sample feature extraction, the adaptive weighted LS-SVM is used to determine the fault type, and the fault diagnosis system is designed according to the diagnostic process. The experimental results show that the minimum diagnostic accuracy of the system can reach more than 92%, which provides support for stable operation of the radar.

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吳國秋.基于自適應LS-SVM的雷達T/R組件熱管冷卻故障診斷系統設計計算機測量與控制[J].,2019,27(7):97-100.

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  • 收稿日期:2019-01-28
  • 最后修改日期:2019-01-28
  • 錄用日期:2019-02-15
  • 在線(xiàn)發(fā)布日期: 2019-07-30
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