fault detection algorithm 中文意思是什麼
fault detection algorithm
解釋
故障檢測演算法-
A node fault detection algorithm in distributed parallel server
一種分散式并行服務器節點故障檢測演算法 -
Fault detection algorithm for grid based on dynamic grey prediction in order to satisfy the requirement of the fault detection of grids, a dynamic - grey - prediction - based fault detection algorithm was presented. according to the unreliable failure detection theory, models for grid systems and fault detection were establishe.
基於不可靠故障檢測思想，建立了網格系統及故障檢測模型結合心跳策略和灰色預測方法，設計了一種動態心跳機制，並給出了預測模型和實時預測策略提出了基於該動態心跳機制的網格故障檢測演算法 -
Then, a kind of wnn based on single - scaling multidimensional wavelet frames and its matching pursuit algorithm is introduced. it is applied to approximate the nonlinear terms with lipschitz property of nonlinear systems to establish the adaptive state observer. the robust fault detection is realized by the observer, demonstrating the predominant performance of the wnn
然後利用一種基於單尺度小波框架的小波網路，逼近一類滿足lipschitz條件的非線性系統的非線性項，構造自適應狀態觀測器，實現了系統的魯棒故障檢測，同時採用徑向基神經網路進行殘差處理，實現了故障預報。 -
To avoid re - execution of the whole simulation system on condition that some nodes or agents are invalidated, a distributed simulation scheme with fault - tolerant mechanism is proposed, including fault classification, fault detection, the fault - tolerant extension of distributed simulation algorithm, and dual global service agents. with the prevalent of the internet and web, it is ne
在本文的第三部分中，針對于金融證券市場，依據基於agent的建模與模擬方法學，提出了金融證券市場的基於agent的同構模型，並且在分佈模擬平臺jcass上得到了實現。 -
From theoretical analysis, we know the existing demodulation methods have limitations as following : one is that the subtraction of the two signals frequencies will display as the result of demodulation when we demodulate two time - domain adding signals without modulating information ( fault information ) ; the other one is that aliasing phenomenon will occur as a result of getting absolute value, detection or square in the process of generalized demodulation analysis, such phenomenon will result in some superfluous frequency composition on the frequency spectrum, which will puzzle the detec tion of mechanical vibration. if the sampling frequency is selected from a suitable range, the aliasing phenomenon will be avoided ; the last one is that aliasing frequencies will be produced in zoom demodulation analysis because this algorithm cannot employ digital low - pass filtering to avert the folding frequencies of higher harmonics in the process of zoom sub - sampling
現有的解調分析方法存在以下三種局限性：將不包括調制信息（故障信息）的兩時域相加信號，也以其頻率之差作為解調信號而解出；廣義檢波濾波解調分析中，由於取絕對值、檢波或平方過程可能產生混頻效應，在解調譜中表現為無法分析的頻率成分，並由此推導出避免這種混頻現象的采樣頻率的選取范圍，從根本上避免此類誤診斷的產生；幾種細化解調分析新演算法中，因為無法在細化分析的選抽時進行數字低通濾波，有可能會出現調制頻率的高次諧波成分發生頻率混疊而反折到低頻部分的現象。 -
The following important work has been done : ( 1 ) some special problems of rate - bias laser gyro were analysed. the problems include modulation and demodulation of the output and algorithm of the attitude updates ; ( 2 ) the integrated navigation system with the fault tolerance property which equipped with many navigation equipments as sins, gps, dvs, ads, mg, vg is designed, and compared with that of ckf via simulations ; ( 3 ) the theories and methods of system level fault detection apply to federated filtering is investigated ; ( 4 ) the problem about using the fused information of sins based on rate - bias laser gyroscope / dynamical tune gyroscope to realize the component level hard fault interactions detection through a back - propagation neural network is discussed
主要研究工作有：研究了速率偏頻激光捷聯慣導的陀螺測量信號的解調演算法；設計了在速率偏頻激光捷聯慣導、 gps 、多普勒雷達、大氣數據系統、磁航向儀及垂直陀螺配備條件下聯邦濾波組合導航系統，對聯邦濾波器和集中濾波器的性能做了模擬對比分析；研究了適用於聯邦濾波器的系統級故障理論和方法；探討了利用速率偏頻激光捷聯慣導撓性捷聯慣導陀螺的混合測量信息，通過神經網路實現硬故障交互檢測的方法。 -
The feasibility of using mallat algorithm to extract the feature component of rotor bar faults is discussed, and we find that mallat algorithm is not suitable for rotor bar faults detection because of the similar representations of the fault and the normal signals
分析了應用mallat小波變換快速演算法提取轉子斷條故障特徵的可行性，指出由於故障信號與正常信號在時頻域上的表現非常接近，僅使用基於頻帶劃分的多解析度分析方法的mallat演算法難以提取出明顯的轉子斷條特徵量。 -
The methodology and innovation in this paper is : ( 1 ) the problems which include modulation and demodulation of the rate biased laser gyro ' s output, algorithm of attitude updates, etc. are analysed. ( 2 ) the component level fault interactions detection of sins based on rate - bias laser gyro / dynamical tune gyroscope by using artificial neural network is investigated
具有創新性的工作有：推導了速率偏頻激光捷聯陀螺測量信息的解調演算法；應用神經網路解決了速率偏頻激光捷聯慣導撓性捷聯慣導陀螺間的硬故障交互檢測。 -
Judging by the different magnitude and direction of the wavelet packet coefficient modular maximum, we can select the single phase - to - earth line. the method using wavelet singularity detection theory to extract the fault time is discussed. a fault distance measurement algorithm combining wavelet analysis used for separating the character from the transient fault signal with artificial neural networks used for the nonlinear approximation from the transient character to fault distance is presented
論文提出利用各個出線零序電流在頻帶上小波包系數模極大值的方向和大小的不同來實現故障選線，討論了利用小波分析的奇異性來判斷故障啟動時刻，提出將小波分析和人工神經網路結合，利用人工神經網路的非線性逼近能力，實現故障暫態量到故障距離的非線性映射，完成測距。 -
On the basis of fully analyzing current algorithms for mining frequent episodes from telecommunication alarm data, the thesis extends the current episodes rule discovery algorithm and makes it capable to find episodes rule with two - time bound and can be applicable for large set database. in order to make the discovered patterns fit for fault detection, mining multi - dimension episodes is proposed in the thesis
論文在充分分析目前電信告警數據中的頻繁情節挖掘演算法的基礎上，針對故障診斷需要，提出了挖掘多維頻繁情節，使之能夠挖掘出具有兩個時間界限的頻繁情節規則，同時適合於大數據集挖掘。 -
This particle gives out some detection method, mainly about creation algorithm of detection vector and checking up the fault - cover rate of detection vector by the way of fault simulation. creation algorithm of detection vector contains : pseudo - exhaustive testing, d algorithm, fault dictionary algorithm
本文針對電子線路在使用過程中發生的故障，提出了幾種測試方法，主要講述測試向量的生成演算法及使用故障模擬的方法來檢測測試矢量在故障檢測過程中的故障覆蓋程度。 -
In the system, control unit accomplishes back - emf zero - crossing information reading and closed loop commutation. the system eliminates the pwm interferences and the commutating interferences by filtering with software algorithm. in order to make the bldc commutate exactly, the method of three - point estimation is used for phase locking in the system. the system also accomplishes several important objects, such as tmppt of photovoltaic arrays, unmanned supervision of the system, fault detection etc. the results of the experiment show that the device, which is made on the base of the principle above, can control the motor to complete the exact commutation
系統以motorola單片機jl3為核心，完成了系統外圍硬體電路和控制軟體設計，實現了直流無刷電機反電勢過零檢測，利用軟體濾波的方式消除了pwm波干擾及換相干擾；採用三點預估演算法，進行相位鎖定，以完成直流無刷電機準確換相；同時實現了光伏陣列工作點的tmppt跟蹤、系統無人監控和故障檢測等功能。 -
While some new theories and techniques have been applied to it successfully, such as pca ( principle component analysis ), ga ( genetic algorithm ), wavelet theory, - ann ( artificial neural network ), fuzzy system, pattern classification, adaptive control theory, nonlinear system theory, etc. this paper applies fuzzy neural network based on genetic algorithm to the fdd ( fault detection and diagnosis ) of power electronic circuits
故障檢測與診斷技術在過去的十幾年裡得到了飛速發展，一些新的理論與方法，如：主元分析、遺傳演算法、小波變換、神經網路、模糊系統、模式識別、自適應理論、非線性理論等都已經在這里得到了成功的應用。
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