multiple faults 中文意思是什麼
multiple faults
解釋
多故障-
25 orailov glu a. microarchitectural synthesis of gracefully degradable, dynamically reconfigurable asics for multiple faults. in proc
在無差錯運行過程中， cl - acl結構按互補邏輯模式運行。 -
Sliding structures are recognized appling multiple ways, and they occur in sections in the shape of flowers. the main sliding fault has the characteristics of straightness and sectionality in plane view. in the main displacement belt or its adjacent areas, an echelon faults and an echelon folds appeared
應用多種標志識別走滑構造，主要表現為剖面上出現花狀構造，主走滑斷層平面上呈平直狀和分段性，在主位移帶內或其毗鄰地區出現雁列斷層及雁列褶皺，在主幹斷裂帶兩側的褶皺構造可見火山巖體被錯開，位移2 4km ，在鉆井巖心樣品中見到明顯的走滑構造運動形跡。 -
On the base of thorough analysis of fault characters, the petri net model is introduced and changed into fault petri net ( fpn ) that can be used to settle some critical problems such as complicated faults, degradation competition and one cause with multiple consequence according to the characters of fault evolvement and spreading. in order to predicate the remained life of particular machine under special working conditions, an algorithm was also providcd to analyse the timely characters of the fpn. it is demonstrated that the method provided in this paper can simulate the dynamic evolvement process more appropriate than tranditional methods such as fault tree analysis ( fta ) and can predicate the remained life of the particular machine under special working conditions
為此，深入分析了機械設備的故障特性，把以描述離散事件動態系統見長的petri網分析技術引入到機械設備剩餘壽命預測領域，並根據故障的演變和傳播特點，將petri網加以改造，提出適用於對機械設備復合故障動態演變歷程進行模擬的「故障petri網」 ，解決了「並發故障」 、 「劣化競爭」和「一因多果」等問題，並給出故障petri網的時間特性分析演算法，用於單機具體工況下的剩餘壽命預測。 -
( 2 ) a new method, which can be used to diagnose steam turbine generator - set ' s multiple faults, is brought out. this method, which is based on fuzzy clustering analyze theory, puts standard fault samples and the checked samples together as classified samples and draw a conclusion by using transfer closure based on fuzzy equivalence matrix
（ 2 ）運用模糊聚類分析理論，將標準故障樣本和侍檢數據一起作為分類樣本，利用基於模糊等價矩陣的傳遞閉包法，提出了一種用於汽輪發電機組多故障診斷的新方法。 -
Especially with the use and advancement of vdsm ( very - deep - sub - micron ) technology, the faults during manufacturing become more multiple and difficult to test
尤其是超深亞微米（ vdsm ）工藝的使用，生產過程中出現的故障也越來越多樣、難測。 -
In accordance with the technological difficulties encountered in the process of insulation supervision based on the dissolved gases analysis ( dga ), several kinds of model and method are presented to improve the reliability and precision of fault diagnosis of the power transformer. main research content includes : by deeply studying the common transformer faults diagnosing methods, such as three - ratio methods and improved electrical committee agreements, several shortcomings such as uncertainness judgment when the fault reasons, phenomenon and principles come out together while can not consistent to each other etc. for this reason, the old methods can not fully meet the need to engineering practical application. considering fuzzy relationship matrix can fully represents the causality between fault symptoms and fault types, when diagnosing complex equipments with multiple symptoms and fault causes such as power transformer, a synthetic fuzzy diagnosing model is firstly proposed to diagnose transformer ' s insulation faults based on dga in this paper
本文針對應用油中溶解氣體分析方法進行變壓器絕緣監督時所遇到的主要技術難點，提出了提高變壓器故障診斷的準確性、可靠性的幾種模診斷方法，主要研究內容有：通過對判斷變壓器故障常用的三比值法和改良電協研法的深入分析，其診斷準確率較高，但對故障原因、故障現象和故障機理間同時存在不確定性和模糊性的變壓器等電氣設備的故障診斷，難于滿足工程應用的需要；在處理變壓器等結構復雜設備的多癥狀、多原因故障診斷時，模糊關系矩陣可以全面反映這種癥狀與故障類型間的因果關系，進而提出了變壓器故障診斷的模糊綜合診斷模型；同時作者還深入分析了模糊運算元的特性；針對常用的模糊評判結果的模糊集的集化方法的不足性，提出了將模糊綜合診斷與模糊規則推理結合起來進行故障診斷的方法，能達到較好的效果。 -
The results demonstrate that multiple faults of distribution power network can be solved by this approach successfully
結果證明，配電網多重故障可以由本演算法得出準確的故障恢復方案。 -
Combining with taaf test, reliability growth is carried out to expose and fix potential fault modes and mechanisms, normal reliability growth is adopted combining with fault diagnosis, fault diagnosis method based on eta is proposed, optimization search strategy and generalized deep priority search method are studied based on multiple objective optimization decision theory and sequential decision theory, which has great significance to find faults quickly
結合taaf試驗，對壓塊機進行可靠性增長來暴露和確定潛在的故障模式和機理，採用一般性可靠性增長方法並結合對故障診斷技術進行研究，提出了基於fta的故障診斷方法，以多目標優化決策論、序貫決策論為理論基礎，對系統故障的優化搜索策略、廣義深度優先搜索方法進行了研究，對壓塊機可靠性增長過程中快速排除故障進行了探索。 -
In chapter 3 the multiple - level wavelet decomposition and reconstruction for de - noising will be investigated and applied to detect faults. a practical example will be given to show the fault diagnosis procedure
第三章利用小波變換的多尺度分解技術來診斷故障，並給出了一個應用實例。 -
At the same time, steam turbine generator - set is a system, which often has multiple faults synchronously, and the problem for the multiple faults has not been solved appropriately
同時，由於汽輪發電機組是一個多故障系統，經常出現多種故障同時發生的情況，而目前對于多故障的診斷問題還未能很好的解決。 -
( 5 ) a two - layer neural network model for steam turbine generator set ' s multiple fault diagnosis is put forward. it can identify the multiple faults and has high modularization. also it can find the new fault
（ 5 ）建立了汽輪發電機組多故障診斷的兩級神經網路模型，它不僅對多故障診斷識別精度高和模塊化程度高，且具有發現新故障的能力。 -
Different power supply leads to different networks. these networks are parallel. two algorithms are proposed to combine the network diagnosing faults. the system is capable ofdiagnosising multiple faults even if trained on single ones
本文所設計的神經網路故障診斷系統即使在訓練單個故障模式情況下也能進行多故障診斷，這是網路泛化能力的體現。 -
Then using the neural network, the diagnosis result can be gotten. the methods and models that this paper put forwards can diagnose the vibration multiple faults of steam turbine generator - set effectively, and this could be proved by examples. it enriches the theory and methods in a cert
本文提出的上述模型及方法，經實例分析驗證，可對汽輪發電機組振動多故障進行有效診斷，在一定程度上豐富了機組多故障診斷技術的理論及方法，有良好的應用前景。 -
Based on predecessors " studies on steam turbine generator - set ' s state monitoring and fault diagnose, this paper focuses on the models and methods used to judge the multiple faults. these models and models, which are based on fuzzy sets theory, probability causal model, artificial neural network technology and genetic algorithms, are tested by some existing examples and some useful conclusions are drawn. all above will put the theory of multiple fault diagnosis of a large turbine generator set a further step
本文在總結和借鑒前人關于汽輪發電機組狀態監測和故障診斷的基礎上，重點研究基於模糊集理論、概率因果模型、人工神經網路技術以及遺傳演算法的多故障診斷理論和方法，並用已有的汽輪發電機組振動故障事例進行了驗證，得出了一些具有實用價值的結論，進一步豐富和推進了大型汽輪發電機組振動多故障診斷的理論，並提出了一些可靠的、實用的新方法。 -
( 6 ) by the research of clustering capability of som, associated with fuzzy clustering analysis, we can realize the diagnosis of multiple faults of turbine generator - set. ( 7 ) by the analysis of the fuzzy - c partition and the genetic algorithm, a new method combing with them is put forward. this method can prevent the fuzzy - c partition from the local least point and can diagnose the steam turbine generator - set ' s multiple faults more effectively
（ 7 ）通過模糊c -劃分極易陷入局部極小值和遺傳演算法有全局尋優特點的分析，提出了將兩者相結合的聚類分析新方法，不僅可克服模糊c -劃分陷入局部極小點的缺陷，而且能對汽輪發電機組的多故障進行有效的診斷。 -
Motor fault diagnosis technology is a part of that of the equipment fault diagnosis. large - sized d. c. motors are the key equipment in metallurgical enterprise, which have complicated structure and operating condition with faults in multiple source, non - linearity and in connection with wide range of knowledge. therefore, on - line faults diagnosis on d. c. motors is the important point which engineers and scientists pay great concerns on
電機故障診斷是設備故障診斷技術的一個分支，直流大電機是冶金企業的關鍵設備，結構復雜、工況復雜，故障呈多源性，非線性，涉及知識領域較廣，因此，直流電機故障在線診斷工作一直是現場工程技術人員和科技人員關注的重點。
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