knowledge-based diagnosis 中文意思是什麼
knowledge-based diagnosis
解釋
基於知識的診斷-
User can diagnosis in two kinds mode : diagnosis based on diagnosis tree, commix fuzzy reasoning based on expert ' s knowledge and experience
其中診斷模塊的主要診斷功能由基於診斷樹理論的診斷子模塊和基於混合模糊推理策略的診斷子模塊實現。 -
Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory. in the fault diagnosis applying neural network theory, six kinds of improved arithmetic of back - propagation arithmetic, including gradient descent with momentum, variable learning rate back - propagation, resilient back - propagation, quasi - newton, levenberg - marquardt and conjugate gradient, are applied to diagnose the faults of electric load manage center and solid state power controller. different diagnostic results gotten by simulation are compared at last
在基於專家系統的故障診斷方法中，採用了產生式知識表達和正向推理機制；在基於神經網路的故障診斷方法中，則分別採用了bp神經網路的附加動量法、自適應學習速率、彈性bp演算法、擬牛頓法、共軛梯度法和levenberg - marquardt法對電氣負載管理中心和固態功率控制器的故障進行診斷，並對由模擬得到的不同診斷結果進行比較。 -
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。 -
This text draws the basic principle of infrared diagnoses based on the primary knowledge of infrared radiation, and analyse the imaging principle of infrared devices ; from the view of infrared diagnostic technology we discuss the fault models and the principium of infrared diagnosis on electrical equipments ; then this paper research the diagnosis of electrical equipments fault by using infrared devices, obtain the hot picture atlas of equipment fault and analysis the hot picture atlas ; the text analyse the various kinds of possible factor which might effect the results of infrared diagnosing in electrical equipments, and propose correspondingly countermeasure against these factor in order to improve the accuracy of measurement ; finally, by using infrared diagnosing techniques analyse and diagnose the interior or exterior fault in part of transformers and arresters in electric network of si chuan, and the results obtained from the text accord with practice
本文在紅外輻射的基礎知識上引出紅外診斷的基本原理，分析了紅外成像儀的成像原理；並從紅外診斷的角度研究了電氣設備的故障模式及其診斷的機理；研究了利用紅外熱像儀對電氣設備的故障進行診斷，獲取設備故障熱像圖譜並進行熱像圖譜的分析；對影響電氣設備紅外技術診斷結果的各種可能因素進行了分析探討，並針對這些干擾因數，提出了相應的對策，以提高檢測的準確性；論文最後應用紅外熱成像技術對四川電網中的部分變壓器和避雷器典型的內外部故障進行了診斷分析，得到與實際相符的結果。 -
The knowledge model for the dynamics of main development indices as plant height, leaf area index, dry matter accumulation, numbers of fruit branch, square and boll was developed based on the physiological time and target yield and quality. in addition, the dynamic relationships between plant nutrients and dry matter accumulation was quantified. all these sub - models provide the reference standards for quantitative and dynamic growth diagnosis and management regulation
進一步根據產量和品質目標構建了株高、葉面積指數、干物質積累量、果枝和蕾鈴數目變化與生理時間之間的動態關系知識模型，初步量化了棉株養分積累量與干物質積累量之間的動態關系，從而為定量化的苗情診斷和管理調控提供了參考標準。 -
Secondly, the theory of the knowledge - based diagnosis expert system is discussed and a module of diagnosis expert system program is compiled, which has the functions of managing database and fault diagnosis
第二，研究了基於知識的診斷專家系統的理論知識，編制了轉子故障診斷專家系統的程序，實現了知識數據庫的管理以及故障診斷等功能。 -
Fault diagnosis method based on knowledge is being used widely
基於知識的方法如今正被廣泛使用。 -
Knowledge about the faults of a process control system is obtained automatically by rough set reduction. an entropy - based criterion is used to measure the uncertainty of it. methods of forward and backward fault diagnosis and how to build up decision tables for each fault source are given
利用粗糙集進行故障知識的發現，尋找系統各個故障源信號之間合理的邏輯關系，提出了一種構造邏輯故障樹的智能方法，並給出了相應的故障樹評價標準。 -
Based on the expert system theory the system converts the expert knowledge for diagnosing failures into the rules stored in database, and it can display real - time information of the abnormal symptoms, perform real - time diagnosis of malfunctions and suggest the operation actions related to malfunctions, etc
系統用專家系統理論將故障診斷的專家知識轉化為存儲于數據庫的規則，實現了計算機自動異常徵兆檢測、實時提示、故障實時診斷，以及提出故障操作建議等功能。 -
So we propose intelligent enterprise diagnosis system integrated with enterprise information systems to meet with actual requirements of enterprise management. a model of intelligent enterprise diagnosis system based data warehouse is established, and fuzzy petri net is used to realize knowledge representation and fuzzy reasoning of enterprise diagnosis
因此我們根據企業管理的實際需求，提出與企業信息系統相集成的智能企業診斷系統，建立了基於數據倉庫的智能企業診斷系統模型，並提出以模糊petri網實現企業診斷的知識表示和模糊推理。 -
Fault diagnosis knowledge representation of multi - purpose coal mining equipment based on frame structure
綜采設備故障診斷的框架知識表示 -
2. study on knowledge - based fault diagnosis system systemeticly to find the causes of faults, maily include the following aspects : representation of symptoms and experience knowledge ; measurement of fuzzy symptoms ; inference algorithm of the inaccuracy diagnosis ; interface of acquisition of evidence and management of knowledgebase. 3
以詳細診斷故障原因為目的，系統的研究基於知識的故障診斷系統，主要包括：故障徵兆知識及經驗知識的形式化表示；故障徵兆知識的量化處理；不確定診斷問題的求解演算法；獲得診斷證據的介面及知識庫管理技術。 -
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 gives many important helps to enhance the security of the control system. the first chapter of this paper gives a brief introduction to the development of fault diagnosis and the basic knowledge of it. the second chapter dicusses the fault diagnosis based on the expert system. the third chapter introduces the fault diagnosis based on the fault tree analysis. the forth chapter gives the fault diagnosis based on the fuzzy system. the fifth chapter analysis the fault diagnosis based on the artificial neural network in detail. the last chapter is the most important part of the paper, in this chapter i give a new fault diagnosis based on the fuzzy neural network, and applicated it in the kj15a control system, obtain the good result
本文的第一章介紹了故障診斷的發展概況與一些故障診斷的基本知識；第二章討論了基於專家系統的故障診斷；第三章論述了基於故樟樹分析法的故障診斷；第四章給出了基於模糊系統的故障診斷；第五章詳細分析了基於人工神經網路的故障診斷；第六章是本文的核心部分，它在綜合了前面的模糊系統和神經網路故障診斷的基礎上，提出了一種基於神經模糊網路故障診斷，並將該技術應用到「 kj15a礦井機車運輸監控系統」故障檢測上，取得了良好的效果。 -
Survey of knowledge - based fault diagnosis methods
基於知識的故障診斷方法綜述 -
After discussing transformer fault cause, fault type and diagnostic procedure, this paper summarizes existing diagnosis method and puts forward idea of transformer fault diagnosis expert system based on multilayer distributed reasoning mechanism on the basis of collecting extensively expert knowledge and experience
本文在廣泛收集變壓器故障診斷專家知識和經驗的基礎上，討論變壓器故障原因、種類以及檢測與判斷流程，總結現有的診斷方法，提出了基於信息融合的多層分散式推理機制的變壓器故障診斷專家系統的思路與實現方法。 -
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。 -
Thirdly, the object - oriented way of lre knowledge representation for causality, system structure, and models is presented, and an organization model of lre diagnosis knowledge for integration of deep and shallow knowledge based on the lre component structure and in the form of node knowledge base is given. and finally, the lre intelligent fault diagnosis theory and strategy, which utilize synthetically different kinds of diagnosis knowledge and multiple reasoning methods, such as rule - based, model - based, fuzzy - knowledge - based, and dynamic - knowledge - based reasoning methods, are discussed and developed. the results verified by the test - firing data and the simulated fault samples show that, the theory and methods proposed give a theoretical basis for the design and realization of practical lre fault diagnosis and health monitoring systems, and can be available for reference in the development of health monitori ng technique for reusable space transportation systems in the future
主要研究內容包括：系統闡述了發動機診斷知識的概念、類別和相互關系；研究發展了定性和定量、淺層和深層、模糊和動態等多種診斷知識的圖形和模型獲取方式；建立了因果、結構和模型等不同層次和類別的診斷知識的面向對象表示方法，以及以發動機的部件結構為基礎，以結點知識庫為組織形式，深淺知識相結合的診斷知識集成組織模型；研究發展了綜合多層次和多類別診斷知識，集成規則推理、模型推理、模糊推理和動態知識推理的發動機智能故障診斷理論和策略，並結合實際熱試車數據和故障模擬實例對所發展的理論、方法與策略進行了驗證。 -
In this thesis the theory and method of intelligent fault diagnosis for a large turbo - pump fed liquid - propellant rocket engine ( lre ) is innovatively proposed and developed, based on the hybrid reasoning strategy and the hybrid knowledge models including mathematical model, logic model, graphic model and qualitative model. the theory and method are constructed in the way of intelligent modeling technique and creative application of knowledge engineering, and focus on the difficult problems and critical techniques such as the unified treatment of lre knowledge ( experience, facts, rules, graph, system structure, behavior, model knowledge and measured data ), the integration and translation of qualitative and quantitative knowledge, and the knowledge - based intelligent fault diagnosis reasoning methods. firstly, besides the correlation of different knowledge, the concept and the types of lre diagnosis knowledge are systematically described
本文以某大型泵壓式液體火箭發動機為研究對象，以智能建模技術和知識工程的創造性應用為主要技術手段，圍繞著發動機知識（經驗、事實、規則、圖形、結構、行為、模型知識與測量數據信息等）的統一處理技術、定性定量知識的集成與轉化和基於知識的智能故障診斷推理等關鍵技術和難點，創新地研究發展了發動機基於混合知識模型（數學模型、邏輯模型、圖形模型及定性模型）和混合推理策略的智能故障診斷理論和方法。 -
During diagnosis, the fdes based on rule inferece is first used to detect up - level missile fauls, and then the fdes based on inn is applied to make further diagnosis according to the missile control system where knowledge for diagnosis is scarce
在診斷中，首先利用基於規則推理的故障診斷專家系統對一些淺層的導彈系統故障進行診斷，然後利用基於集成神經網路的故障診斷專家系統對某些局部故障，如導彈穩定控制系統的故障作進一步診斷。
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