磨損故障 的英文怎麼說

中文拼音 [mósǔngùzhàng]
磨損故障 英文
deterioration failure
  • 磨 : 磨動詞1 （摩擦） rub; wear 2 （研磨） grind; mull; polish 3 （折磨） grind down; wear down [out]:...
  • 損 : Ⅰ動詞1 （減少） decrease; lose 2 （損害） harm; damage 3 [方言] （用尖刻的話挖苦人） speak sarcas...
  • 故 : Ⅰ名詞1 （事故） event; incident; happening; accident 2 （原因） cause; reason 3 （朋友; 友情） fr...
  • 障 : Ⅰ動詞（阻隔; 遮擋） block; hinder; obstruct Ⅱ名詞（遮擋物） barrier; block; obstacle
  • 磨損 : wear and tear; abrasive wear; abrase; abrade; detrition; wear; scuff; wear out; fray; battering; ...
  • 故障 : hitch; breakdown; stoppage; fault; faulting; accident; blunder; bug; conk; failure; impairment; i...
  1. 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。
  2. Because of the great quantity, strong specialization, wide involved range of the knowledge of engine, this paper introduces the construction of the repository, reasoning machine, program interface and the knowledge acquirement of dmas wearing fault integrated diagnostician system, puts forward the method of storing and managing the fault diagnostic knowledge by database, carries out fault diagnostic with proper reasoning strategy, and discusses the realization of the system from the view of the theory and engineering. 3, the research on the remote fault diagnostic system

    2 、 dmas故障診斷專家系統的研究本文主要針對發動機的知識具有數量大、專業性強、經驗成分多、涉及面廣等特點，介紹了dmas磨損故障綜合診斷專家系統的知識庫、推理機、人機界面和知識獲取的實現，並提出把故障領域知識存入相應的數據庫，運用數據庫技術進行管理，結合合適的推理策略進行故障診斷，並從理論和具體方法上對系統的實現過程進行了探討。
  3. 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。
  4. 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。
  5. A forecasting method of aero - engine wear faults based on gray time sequence model

    基於灰色時序的航空發動機磨損故障預測模型
  6. A successful prediction on abnormal wear failure of aero - engine through the soap technique

    應用滑油光譜監控技術成功預報的一起航空發動機異常磨損故障
  7. Intelligent fusion for aeroengine wear fault diagnosis

    航空發動機磨損故障的智能融合診斷
  8. Based on the relations of wear particles, wear faults and wear mode, main characteristics of wear particles size, origin, shape and granularity are analyzed. on the view of strategies and functions of monitoring, an on - line oil monitoring system is designed and key technologies for development of monitoring system are presented. the inductance and optic - fiber transducer based laboratory are designed and tested

    論文基於磨損顆粒、磨損故障與磨損形式的關系，分析了磨損顆粒的尺寸、來源、形狀和粒度等基本特徵，並從監測策略和功能分析的角度設計了在線油液監測系統，提出了開發中必須解決的關鍵技術，研製了電感和光纖組合測量傳感器。
  9. Research on faults diagnosis of gear wear based on hilbert - huang transform

    變換的齒輪磨損故障診斷研究
  10. Application of order tracking analysis in gear wearing fault diagnosis

    階次跟蹤分析在齒面磨損故障診斷中的應用
  11. Diagnosis to diesel engine piston - liner wear with partial wave method

    基於局域波法的柴油機缸套活塞磨損故障診斷
  12. Studies on vibration monitoring on main bearing wear of reciprocating engines

    內燃機主軸承磨損故障的振動監測方法研究
  13. Fault diagnosis of diesel engine piston - liner wearing based on mechanism study

    基於機理研究的柴油機活塞環一缸套磨損故障診斷
  14. Study on diagnosis of diesel engine piston - liner wearing faults based on partial wave method

    局域波法在柴油機氣缸磨損故障診斷中的研究
  15. Experimental study on engine piston - liner wear fault diagnosis by acoustic emission technology

    聲發射技術用於診斷發動機活塞與缸套間磨損故障的實驗研究
  16. The cylinder block surface vibration monitoring of diesel cylinder liner wear is introduced, and the cylinder block surface vibration under the condition of exceeding the high - degree wear of cylinder liner is monitored

    摘要研究了柴油機缸套磨損故障的機體振動監測，包括缸套破壞性磨損故障時的機體振動。
  17. Summarizing and discussing the usual wear fault and wear kinds of the general mechanical equipment. engines of self - propelled gun are the main discussed targets, the component of the friction pairs and wear fault rules of which are analyzed. building the belter base for carrying out wear state monitoring further

    總結和討論了一般機械設備常見的磨損故障和磨損類型，並以自行火炮的發動機為重點研究對象，分析其主要摩擦副的材料組成和磨損失效規律，為進一步實施磨損狀態監測奠下良好的基礎，討論了自行火炮潤滑油變質原因和機理。
  18. 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。
  19. Combining the spectrometric oil analysis data and the practical wear fault phenomena of the engines, the author has developed a spectrometric oil analysis fault diagnosis expert system

    結合油液光譜分析的數據和發動機在實際中常見磨損故障現象，研製和開發了油液光譜分析診斷專家系統。
  20. Firstly, based on the developed vibration testing method, a method for monitoring abrasion fault on main bearing of reciprocating engine using noise measurement is presented. it can avoid the trouble of vibration method that needs disassemble engines for placing acceleration sensors and selection of the position of sensors

    首先，本文在振動測試方法已較成熟的基礎上，提出了採用機體外噪聲測量的方法來採集含有主軸承磨損故障信息的噪聲信號，避免了主軸承振動測量中，需要將機體拆卸來安裝加速度傳感器，以及需要選擇好傳感器位置的麻煩。
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