發(fā)布時(shí)間：2019-01-03 11:16

【摘要】：隨著現(xiàn)代工業(yè)和科學(xué)技術(shù)的快速發(fā)展以及自動(dòng)化程度的進(jìn)一步提高，機(jī)械系統(tǒng)結(jié)構(gòu)日趨復(fù)雜化，因此對(duì)復(fù)雜機(jī)械系統(tǒng)故障診斷的要求也越來(lái)越高。而故障信息的特征提取是系統(tǒng)故障診斷的重要部分，國(guó)內(nèi)外學(xué)者研究了多種特征提取方法，解決了復(fù)雜機(jī)械系統(tǒng)故障診斷的一些問(wèn)題，但還有許多問(wèn)題值得探討和研究。本文在拓?fù)鋵W(xué)和拓?fù)鋭?dòng)力系統(tǒng)的基礎(chǔ)上，，對(duì)復(fù)雜機(jī)械系統(tǒng)故障信息的特征提取問(wèn)題進(jìn)行了研究，具體的內(nèi)容包括： 首先，本文在拓?fù)鋵W(xué)和拓?fù)鋭?dòng)力系統(tǒng)的理論基礎(chǔ)上，構(gòu)建了復(fù)雜機(jī)械系統(tǒng)狀態(tài)特征信息拓?fù)淇臻g，描述系統(tǒng)的拓?fù)鋭?dòng)力系統(tǒng)模型，實(shí)現(xiàn)對(duì)系統(tǒng)特征的描述，為系統(tǒng)的故障信息特征提取奠定基礎(chǔ)。 其次，通過(guò)研究拓?fù)鋭?dòng)力系統(tǒng)軌道的性質(zhì)來(lái)分析系統(tǒng)的特性，進(jìn)而實(shí)現(xiàn)對(duì)系統(tǒng)的特征提取。將系統(tǒng)的軌道符號(hào)化，用符號(hào)序列的方式描述系統(tǒng)的軌道信息，通過(guò)分析符號(hào)序列的復(fù)雜度，計(jì)算符號(hào)序列的符號(hào)熵即拓?fù)鋭?dòng)力系統(tǒng)的拓?fù)潇�，�?lái)識(shí)別系統(tǒng)的振動(dòng)狀態(tài)，拓?fù)潇丶礊橄到y(tǒng)的故障特征量。并把基于拓?fù)鋭?dòng)力系統(tǒng)的復(fù)雜機(jī)械系統(tǒng)故障信息特征提取方法應(yīng)用于旋轉(zhuǎn)機(jī)械系統(tǒng)故障特征提取問(wèn)題中，通過(guò)仿真模擬，驗(yàn)證了所提出的理論方法的可行性。 最后，對(duì)旋轉(zhuǎn)實(shí)驗(yàn)平臺(tái)進(jìn)行故障診斷實(shí)驗(yàn)，通過(guò)對(duì)實(shí)測(cè)信號(hào)進(jìn)行特征提取分析，實(shí)現(xiàn)了系統(tǒng)不同運(yùn)行狀態(tài)的有效識(shí)別，從而驗(yàn)證了所提出的基于拓?fù)鋭?dòng)力系統(tǒng)的故障信息特征提取方法的有效性。
[Abstract]:With the rapid development of modern industry, science and technology and the further improvement of automation, the structure of mechanical system is becoming more and more complicated, so the requirement of fault diagnosis of complex mechanical system is more and more high. The feature extraction of fault information is an important part of system fault diagnosis. Scholars at home and abroad have studied a variety of feature extraction methods to solve some problems in fault diagnosis of complex mechanical systems, but there are still many problems worth discussing and studying. On the basis of topology and topological dynamical system, this paper studies the feature extraction of fault information of complex mechanical system. The specific contents are as follows: firstly, based on the theory of topology and topological dynamic system, The topological space of state feature information of complex mechanical system is constructed, and the topological dynamic system model of the system is described. The description of the system features is realized, which lays a foundation for the feature extraction of fault information of the system. Secondly, by studying the properties of the topological dynamical system orbit, the characteristics of the system are analyzed, and the feature extraction of the system is realized. The orbit of the system is symbolized, and the orbit information of the system is described by the symbol sequence. By analyzing the complexity of the symbol sequence, the symbol entropy of the symbol sequence is calculated, that is, the topological entropy of the topological dynamic system, to identify the vibration state of the system. Topological entropy is the fault characteristic quantity of the system. The fault information feature extraction method of complex mechanical system based on topological dynamic system is applied to the fault feature extraction of rotating machinery system. The feasibility of the proposed method is verified by simulation. Finally, the fault diagnosis experiment is carried out on the rotating experimental platform. Through the feature extraction and analysis of the measured signals, the effective recognition of the different running states of the system is realized. Thus, the effectiveness of the proposed fault information feature extraction method based on topological dynamic system is verified.
【學(xué)位授予單位】：燕山大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：TH165.3

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