wear debris 中文意思是什麼
wear debris
解釋
磨損產物-
In this paper, the principle of debris monitoring and analysis system ( dmas ) is introduced in detail, and the realization of the micrograph collection system and the wear fault integrated diagnostician system is also studied
本文主要研究dmas磨粒監測與分析系統的工作原理以及顯微圖像採集系統和磨損故障綜合診斷專家系統的具體實現，以工程應用為背景，主要開展了以下方面的研究工作。 -
It is reported that the mechanical failure accounts for most of the aviation accidents, and among them, the wear faults occupy a considerably large proportion rate. based on the traditional ferro - graph and spectral analysis technology, and with the introduction of computer vision and information fusion technology, this article focus on the study of aviation engine abrasion diagnoses in the fields of debris analysis and information fusion
據統計，導致飛行事故的主要因素是機械故障，其中，磨損類故障又占很大比例，本文就以傳統的鐵譜分析技術和光譜分析技術為基礎，引入計算機視覺與信息融合技術，開展基於磨粒分析和信息融合的航空發動機磨損故障診斷技術研究。 -
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。 -
Texture feature extraction and recognition of wear debris image
磨粒圖像的紋理分析及識別 -
The inductance transducer can classify wear of large ferrous and nonferrous debris and the optic - fiber transducer can be used for inspection of oil contamination
所研製的組合測量傳感器中，電感傳感器可以識別大的黑色金屬和有色金屬顆粒，光纖傳感器可以測量油液中固體顆粒污染物。 -
The main function of the oil monitoring system to ship power system & device is : analyzing the change of the parameters of oil quality, monitoring the inferior change of the oil quality. analyzing the debris in the oil sample, search after the affiliation between the character ( component, concentration, size and distribution, shape and distribution, color etc ) and the wear condition and the failure of the part of the device. study the affection of the contamination in the oil to the performance and condition of the device
船舶動力裝置與設備油液監控系統的主要功能是：通過分析油液的性能指標變化監控其劣化狀況；通過對油樣中的磨粒等污染物進行檢測和分析，根據磨粒特徵（成分、濃度、尺寸及尺寸分佈、形狀及形狀分佈、顏色等） ，推斷設備磨損狀態、磨損部位和嚴重程度，以及污染物對設備性能、技術狀態的影響；為油液的管理和使用，以及船舶動力裝置與設備的修造、檢驗等提供科學的建議。 -
Scanning electron microscopy ( sem ) was employed to examine the worn surfaces ^ shape of wear debris ^ dispersion of nano - a ^ os and wear mechanism
採用掃描電子顯微鏡觀察、分析磨損表面形貌，磨屑形狀，納米粒子分佈情況及磨損機理。 -
Ferrography analysis technology for wear debris has been applied broadly in many aspects, such as inspection of machine operation state, failure diagnosis and preventive maintenance, because of its advantages of good effect and economical
機器中磨損磨粒的鐵譜分析技術因其高效、經濟的優點，在機械設備的狀態檢測、故障診斷和預防性維修等方面都得到了廣泛的應用。 -
However, the issue how to realize the automatization in ferrograph diagnosis has been brought forth owning to manipulative complexity and subjectivity in the judgement for traditional ferrography technology. thus, the automatic recognition technology for wear debris is a focus research topic and many researchers, whether in overseas or domestic, have paid more attention on studying it last decades
但是，傳統鐵譜技術操作的復雜性和判斷主觀性又提出必須盡快解決鐵譜診斷智能化的問題，所以磨損磨粒的自動識別技術是近幾十年來國內外學者十分關注並致力加以研究的前沿課題。 -
As a matter of fact, three types of wear debris can be classified by the present software programmed in this research, that is, normal, spherical and cutting debris can be identified. by analyzing and processing the actual ferrograph of wear debris from a used oil sample, the experimental results show that the effects of automatic recognition are equal to those of manual recognition, and the automatization of ferrographical diagnosis has been realized simply and partly, which will be helpful to improve the intelligence of the digital ferrography system
通過對實際油樣中制取的圖譜進行分析與處理，結果表明，本系統可以實現對三種常見的磨粒進行識別，即對正常磨粒、球狀磨粒以及切削磨粒進行分類，驗證了該軟體的自動識別效果與人工識別相當，具有一定程度的智能效果，為鐵譜儀數字化系統打下了一定的基礎。 -
This monitoring system has the function of collecting data and general analysis. 7 ) the on - line measurement efficiency and accuracy are precondition of developing an on - line wear debris monitoring, the relation between detection precision and error caused by system, the compensate means
6 ）基於虛擬儀器技術的思想，開發設計了儀器驅動程序及面板應用程序，完成了在線油液監測系統的構建，具有數據採集和一般分析等功能。 -
Feature extraction of wear debris shape and its identification with ann
磨粒形狀特徵提取及神經網路識別
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