auto diagnosis 中文意思是什麼
auto diagnosis
解釋
自我診斷-
This thesis studies the law of affecting de - noise result and the selection of the threshold and the wavelet function, the combination of wavelet and fft in the fault diagnosis of turbine - generator sets : by the de - noise anslysis of blocks and sin signals, concludes : to blocks signals, usually adopts soft threshold ; the law of affecting de - noise result is when use wavelet auto - de - noise, with the increasing of decomposed level, the de - noise result becomes worse while the level blow the 3, when the level above 3 and when uses wavelet packet, it is the other way round ; the best de - noise methods of the signal is that uses " dbl " wavelet function, three level, soft and " rigrsure " threshold
本文研究了分解層數對消噪結果影響的規律和閾值、小波函數的選取，結合小波分析與fft分析診斷汽輪發電機組的故障。通過對brocks和sin兩信號的分析，得出：對blocks信號進行分析一般採用軟閾值；分解層數對消噪結果影響的規律為用小波自動降噪在分解層數小於3時，隨著分解層數的增加，消噪結果變好，反之，則變差，用小波包降噪時隨著分解層數的增加，消噪效果變好；適宜選用dbl小波軟rigrsure閾值自動消噪。 -
It integrates the functions of servo amplifier, dynamic operator, position transmitter and remote communication. many new functions have added to its original ones, such as the real - time logical judgment, malfunctions self - diagnosis, alarm & protection, led display, on - line setting and adjustment of functional parameter and position transmitter, power - absence data auto - protection, watchdog system protection, and the long - range communication with pc
系統集伺服放大器、電動操作器、位置發送器及遠程網路式通信功能於一體，在保留對應部分原有功能的同時，還新增了邏輯實時判斷、故障實時監控、 led動態顯示數據、功能參數設置、掉電數據自保護、 「看門狗」電路保護、位置發送器在線調節、與遠程工控機數據通信等眾多功能。 -
In this dissertation, towards different states of tongue, we define different tongue pathology areas, propose relevant sub - images selection methods and gets research objects ; according different states of tongue, this dissertation compares different ways to extract texture features and classifies states of tongue well using the most appropriate features, making preparation for the auto - diagnosis of symptoms and diseases ; the dissertation sets up a texture - based symptom diagnosis model and diagnoses asthenia and sthenia syndrome and external and internal syndrome more accurately ; moreover, based on expert knowledge, this dissertation uses texture, colors and shape information of tongue images, to survey diagnosis of some diseases. first, the red prickles classification is studied in the dissertation
本文針對不同的舌象，確定了不同的舌病理區域，提出了相應的舌子圖像選取方法，明確了紋理特徵的研究對象;針對不同的舌象，比較了多種紋理特徵提取方法，確立了每種舌象的最佳紋理特徵，較準確的分類了各類舌象，為證候和疾病的自動化診斷做好了準備;建立了基於紋理特徵的證候診斷模型，應用該模型，較準確的診斷了虛實證候和表裡證候;此外，基於專家知識，本文融合了舌圖像的紋理、顏色和形狀信息對部分疾病的自動診斷進行了研究並取得了較好的結果。 -
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。 -
Aimed at the high - efficiency and high - credibility of great precious vacuum resin dosing equipment and with the help of engineering practice of vcd - 800, the metric pump, metric valve and fault - auto - diagnosis system were studied, which were key parts of the equipment
本課題針對大型精密樹脂灌注機的高效、高可靠要求，結合vcd - 800型灌注機的工程實踐，在前人工作的基礎上對灌注機的計量泵、灌注強制閥和故障自診斷系統等關鍵部件、關鍵技術進行了深入的研究。 -
Progress of mechanism and diagnosis and treatment of auto - immune thrombocytopenic purpura
自身免疫性血小板減少性紫癜的發病機制及診治進展 -
In the first session the fans vibration on - line monitoring system is realized with vc language, also compile auto power spectrum density function, cross power spectrum density function, autocorrelation function and cross correlation function etc spectral analysis function to carry through simple offline fault diagnosis
首先用穩定性強、擴展性好的vc + +語言開發了通風機振動在線監測系統，並編寫了自功率譜密度函數、互功率譜密度函數、自相關函數和互相關函數等頻譜分析函數來進行簡單的離線故障診斷。 -
Abstract : the working principle, parameter calculation and software design of fault diagnosis of abs wheel - speed sensor for auto are introduced in this paper. the circuit design is tested to be correct and meet the design requirements
文摘:介紹汽車abs輪速傳感器故障診斷電路的工作原理、參數計算和軟體設計，經實車模擬故障檢驗，證明該電路設計正確，達到了設計的要求。 -
System synthetically uses digital ultrasonic flaw detection technique, computer technique, auto control technology and constructs intact hardware system ; constructs software system including complete locomotive wheel - set graphics base, diagnosis document database, checkout result database and smart analysis module by investigation, summarization, test, theory analysis etc.
為此，提出了機車輪對智能超聲波探傷系統的總體方案，該系統綜合利用數字超聲探傷技術、計算機技術、自動控制等技術，構成完善的硬體系統。通過調研、總結、試驗、理論分析等手段建立完善的機車輪對圖形庫、診斷文檔數據庫、檢驗結果數據庫及智能分析模塊等軟體系統。 -
Study on auto fault diagnosis expert system based on neural network
基於神經網路的汽車故障診斷專家系統開發中的問題研究 -
Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly
本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。 -
It has auto - diagnosis and auto - protection functions against malfunctions
有故障自診斷和多種保護功能。 -
As a result of the international advanced technology and detection means so that the test - bed habitat leading domestic level, can be quickly and easily, and visual on the domestic and import cars ignition system, the charge of the starting circuit, speakers circuit, lighting system, signal lines, electronic ignition components such as testing, inspection and adjustment, can also check the work of a car engine, engine fault diagnosis of the reason that test bed is the experimental large automobile repair shop, the second category repair shop and car essential for the use of the transport sector detection equipment, by all parts of the country auto repair trade management departments welcomed
由於採用了國際上先進的技術和檢測手段，使本實驗臺居國內領先水平，可以快速方便，直觀的對國產、進口車的點火系、充電系起動電路、喇叭電路、燈光系、信號線路、電子點火組件等進行試驗、檢查和調整，還可以檢查汽車發動機的工作情況，診斷發動機故障的原因，所以本實驗臺是汽車大修廠、二類修理廠和汽車使用運輸部門必不可少的檢測儀器，深受全國各地汽車修理行業管理部門的歡迎。 -
At last, based on analysis and classified studying, a fault - auto - diagnosis system was founded
最後，在故障分析和分類研究的基礎上，建立了故障自診斷系統。 -
Application of time series analysis in fault diagnosis of auto gearbox
時序分析在汽車變速箱齒輪故障診斷中的應用 -
Then on the basis of the integrated monitoring system, we build the engine room information intelligent system that is based on the diagnosis knowledge, centered with integrated intelligence, and by the way of aided decision, the system provides the functions of fault auto - detection, aided diagnosis, trend prediction and etc. the fruit of research has general meaning to the whole marine information intelligent system. zhang jin ( power electric and electronic drive ) directed by prof. li hailianq and prof. tang tianhao
本文將基於模糊技術、專家系統和人工神經網路的智能集成方法應用於復雜系統的故障診斷和預測分析，進而在自動集中監測系統的基礎上，建立了以集成智能為核心，以診斷知識為根本，以輔助決策為手段的具有故障自動發現、輔助診斷、趨勢預報等功能的船舶機艙信息管理系統。 -
Its realization ensures the network of auto test industrial scene, ist, havc, ia etc. these technologies shall change the original method of industrial measurement and realize also fault - diagnosis
它們的實現為工業現場的自動化測量， ist （網路傳感器技術） 、 hvac （家庭環境自動控制） 、 ia （信息家電） 、環境自動監測、智能小區管理等的internet化提供了技術保證，這些技術，將會改變傳統的工業測試方法、快速精密測量及故障診斷。 -
On applying case - base reasoning in malfunction diagnosis of auto maintenance
案例推理在汽車維修故障診斷中的應用 -
The research and development of the automobile intelligence detection system aims at the intellectualized examination of automobile breakdowns, while the basics of modern automobile breakdown diagnosis line in the test of auto sensors. from the standpoint of practical application, this article compares and analyzes the types of electronic signal waveforms and their characteristics showed by modern check - out
汽車智能檢測系統的研究與開發工作，根據所提出的總體框架和思路，分別從數據採集系統（硬體、軟體） 、關鍵技術及處理、計算機測試軟體開發、智能檢測系統的模擬等方面進行了研究與探索，並對汽車故障智能化檢測系統的測試電路進行了軟體設計。 -
The reason causing the abort of the fiber optical transmission network may be whether optical terminal and power of the network " s remote stations go wrong, or the optical cable is in abort. so we had researched and developed the real time monitor and abort diagnosed system ( using " rtmaad system " as an abbreviation ) for fiber optical transmission network to solve the problem and to realize fast abort " s auto diagnosis and location
因此，本課題就是研製開發「光纖傳輸網實時監測及故障診斷系統」 （ realtimemonitorandabortdiagnosedsystemforfiber - opticaltransmissionnetwork ，簡寫為「 rtmaad系統」 ）來解決以上問題，實現光纖傳輸網發生系統中斷故障時進行快速自動診斷和準確定位。
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