fault discovery 中文意思是什麼
fault discovery
解釋
故障發現-
Rough set theory is a data mining approach capable of dealing with incomplete and inaccurate data, and it has been successfully applied to artificial intelligence and knowledge discovery, pattern recognition and classification, and fault detection
粗糙集理論是數據挖掘的方法之一，它是處理模糊和不確定知識的一種數學工具，已在人工智慧與知識發現，模式識別與分類，故障檢測等方面得到了較好應用。 -
After a discovery such as that it would have seemed ungrateful to find any fault, and so they tried to shut their eyes to other defects.
有了這個新發現之後，再要挑錯就顯得不知好歹，因此對其他的缺點也就裝作視而不見了。 -
It is therefore proposed in this paper to strengthen the exploration of such wide and deep subsags as chagannuoer and hongqi subsags, to lay emphasis on the exploration of superposed and residual fault depression, and to pay attention to the discovery of various oil and gas reservoirs including metamorphic buried hills, fracture slope breaks, and volcanic rocks, etc
因此，指出下一步應加強類似查干諾爾，紅旗等寬深窪槽的勘探，重視具疊合型和殘留型斷陷的勘探，注重尋找包括變質巖潛山，斷裂坡折帶、火山巖等在內的各類油氣藏。 -
In recent years, it has been attracted considerable attention for a mass of researchers on networks in world, and become the hot research area of computer networks, in particular, has been widely used in network fault - location, performance measurement and count expense etc. based on careful analysis on related theory, technique and application of the topology discovery in world, the author first proposes a new physical topology discovery algorithm ( ptda ) for single subnet, next introduces the new algorithm into multi - subnet case, as a result, puts forward a new ptda for multiple subnets
拓撲發現廣泛應用於網路故障定位、性能測試和計費管理等方面。本文在深入分析國內外拓撲發現相關理論、技術和應用的基礎上，提出了單子網物理拓撲發現演算法，將單子網物理拓撲發現演算法擴展到多子網中，並提出多子網物理拓撲發現演算法。在研究單子網和多子網物理拓撲發現演算法的基礎上，提出了基於生成樹協議的物理拓撲發現演算法。 -
The paper also researches into the multiplayer network topological discovery and the implementing theory of the virtual network topological discovery, discussing the technology of network fault localization based on the fault tree at last
對多層網路拓撲發現、虛擬網路拓撲發現的實現機理進行了研究。對基於故障樹的網路故障定位技術進行了探討。 -
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。 -
The aims of this dissertation include : try to solve problems in rough set based knowledge discovery and machine learning ; build up knowledge model for complex industrial processes ; following the concepts and approaches of nonlinear system control, construct a control system framework based on rough state space ; apply rough set theory to fault detection and diagnosis ( fdd ). the main contributions of the dissertation are as follows : 1 reviewed the developments and research situation of rough set theory
本文的主要目的是試圖解決粗糙集在知識獲取、機器學習以及工業生產實際運用中所遇到一些主要問題，利用粗糙集在分析處理不完全、不精確和不一致數據中所具有的優勢，對復雜工業過程進行基於規則的非機理知識建模，在規則模型的基礎上，結合現代控制理論中的有關概念和方法，構造粗糙控制的初步框架，並將粗糙集方法運用於故障診斷。 -
Used with general dimension furthest correlation coefficient method and general dimension series single value approach, it is not only the single fault of system state, but also the coupling fault of complicated system state can be diagnosed, classified and identified. it is the new discovery of the multi - fractal theory applied in mechanical equipment diagnosis engineering, and also the new application of series single value approach applied in the field of fault diagnosis in this paper
運用廣義維數最大相關系數法，廣義維數序列單值優化逼近方法，不僅能對系統狀態的單一故障進行診斷、識別及其分類，而且還能對復雜系統狀態的耦合故障進行診斷、識別及分類，這是本文將多重分形原理應用於機械設備診斷工程中的新的探索，也是優化逼近等數學方法在故障診斷中的新的應用。
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