摘要：

航空發(fā)動(dòng)機(jī)匯集各領(lǐng)域高精尖技術(shù)，是國(guó)家科技、工業(yè)和國(guó)防實(shí)力的綜合體現(xiàn)。復(fù)雜結(jié)構(gòu)與惡劣服役環(huán)境致使其故障頻發(fā)，發(fā)動(dòng)機(jī)故障診斷與健康管理技術(shù)成為保障其安全、可靠運(yùn)行的重要支撐。由于振動(dòng)類(lèi)故障是航空發(fā)動(dòng)機(jī)的主要故障模式，本文從整機(jī)振動(dòng)監(jiān)測(cè)與故障診斷的系統(tǒng)研制與應(yīng)用、理論研究現(xiàn)狀及發(fā)展方向3個(gè)方面，對(duì)國(guó)內(nèi)外現(xiàn)有航空發(fā)動(dòng)機(jī)振動(dòng)類(lèi)故障診斷技術(shù)進(jìn)行梳理、剖析，具體包括動(dòng)力學(xué)分析、信號(hào)處理及深度學(xué)習(xí)等相關(guān)技術(shù)，分析航空發(fā)動(dòng)機(jī)振動(dòng)類(lèi)故障診斷面臨的問(wèn)題與挑戰(zhàn)，并歸納未來(lái)發(fā)展趨勢(shì)。

關(guān)鍵詞: 航空發(fā)動(dòng)機(jī), 故障診斷, 振動(dòng)分析, 動(dòng)力學(xué)模型, 信號(hào)處理, 智能診斷

Abstract:

Aeroengine amalgamates state-of-the-art technologies across diverse domains， serving as a comprehensive manifestation of a nation’s prowess in science and industry. Frequent malfunctions occur due to its complicated structure and harsh service environment. Therefore， it is essential to employ prognostic and health management technology to provide crucial support for aviation safety and reliable operations. As vibration faults constitute a primary failure mode in aeroengine， this paper， grounded in this premise， systematically reviews and analyzes existing vibration monitoring and fault diagnosis for aviation engines both domestically and internationally. The analysis is categorized into three dimensions， covering the application of overall vibration monitoring and diagnostic systems， typical fault characteristics and diagnostic methods， and the overall vibration fault diagnostic technology， including dynamic analysis， signal processing techniques， and relevant technologies such as deep learning. Then， the problems and challenges faced by the existing vibration fault diagnosis of aeroengine are identified. Furthermore， future development goals are provided.

Key words: aeroengine, fault diagnosis, vibration analysis, dynamical model, signal processing, intelligent diagnosis

中圖分類(lèi)號(hào): 

V263.6

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