aero graph 中文意思是什麼
aero graph
解釋
天線電報機-
Secondly, introducing the image analyzing technology with reference to the disadvantages of the traditional ferr - graph analysis technology, and with the combination of characteristic parameter optimizing filtration so as to raise a description method of debris micro - morphologic character. thirdly, with the application of mode recognition method, completing the process of debris auto - recognition based on the collected information of the debris configuration characteristics ; and conducting the diagnosis on the aero - engine wear faults according to the theory of particle tribology. fourthly, introducing information fusion technology to solve the problem that a single method can not collect enough fault premonitory information to conduct the wear fault diagnosis, hence to conduct the research and exploration in the field of comprehensive diagnosis on the aero - engine ' s multi - fault premonitory information
本文的研究工作主要包括以下五個部分：首先，介紹航空發動機常見的磨損故障類型，研究磨損故障的失效機理，分析磨粒的產生機理、分類以及形態特徵：其次，針對傳統鐵譜分析技術的缺點，引入圖像分析技術，再結合特徵參數優化篩選，形成基於圖像的磨粒顯微形態學特徵描述方法：然後，基於提取到的磨粒形態特徵信息，應用模式識別方法完成磨粒自動識別，並根據顆粒摩擦學的基本原理進行航空發動機磨損故障的診斷與定位：再后，鑒于單一方法不能提取足夠的故障徵兆信息進行磨損故障診斷，本文引入信息融合技術，開展航空發動機多故障徵兆信息綜合診斷方法的研究與探索；最後，基於航空發動機滑油光譜分析與鐵譜分析數據，應用時序模型、灰色模型以及組合模型進行磨損故障的預測方法研究。 -
The research work presented a large quantity of debris characteristics parameters, and especially made a thorough study on the characteristic description of sediment chain graph ; meanwhile, the sensibility, differentiation and information redundance analyses of the characteristic parameters also supplies the quantitative indexes for the filtration and optimization of the debris characteristic parameters ; in addition, the debris fusion decision recognition method based on the proof fusion theory and the comprehensive debris recognition flow provide reliable recognition arithmetic for debris recognition ; and lastly, the fault fusion diagnosis judging method based on ferro - graph and spectral analysis provides the basic diagnosis method in theory for multi - fault premonitory diagnosis system of aero - engine
本文研究工作提出了大量磨粒特徵參數，尤其深入研究了沉積鏈譜片的特徵描述問題；同時，特徵參數的敏感性、區分度與冗餘度分析為磨粒特徵參數的篩選優化提供了量化指標；另外，基於證據融合理論的磨粒統計融合決策識別方法以及磨粒綜合識別流程為磨粒識別提供了可靠的識別演算法；最後，基於光譜和鐵譜信息的磨損故障融合診斷決策方法為發動機多故障徵兆綜合診斷系統提供了基本的診斷理論手段。
分享友人