基于振動(dòng)信號(hào)分析的往復(fù)式壓縮機(jī)狀態(tài)監(jiān)測(cè)與評(píng)估技術(shù)
[Abstract]:Reciprocating machinery is widely used in many fields, such as industry, agriculture, transportation, national defense and scientific research. It has the characteristics of complex structure and many incentive sources. In actual production, once failure occurs, it will not only affect the process of industrial production. Cause huge loss, also can bring a series of safety problems. Therefore, in order to ensure the safe operation of the unit, production enterprises urgently need a set of economic and reliable reciprocating compressor fault diagnosis system for early prediction, monitoring and diagnosis of compressor faults. The condition detection and evaluation of mechanical equipment is the science of identifying the operating state of the equipment. The object of its research is the reflection of the change of the running state of the machine or the unit in the diagnosis information. The research content includes the monitoring during the operation of the equipment. The forecast of the development trend of operation and the recognition and diagnosis of operation status. With the rapid development of new theory, new technology and new methods, the state detection and evaluation technology of mechanical equipment has been developed rapidly. This technology has basically formed a discipline system and moved towards a virtuous cycle of development. In this paper, the basic theory and method of mechanical equipment fault diagnosis technology are analyzed, and the development and main problems of compressor fault diagnosis technology are introduced. Secondly, the structure of 2D12 reciprocating compressor is introduced, the mechanism of common faults of its main components is analyzed, and different fault diagnosis methods are used for signal analysis and fault feature extraction for different faults. A fault diagnosis system for reciprocating compressors is established. Finally, this paper makes some attempts in the compressor state prediction, using the Lyapunov exponent prediction model to predict the state trend of reciprocating compressor in the short and medium term, and has achieved good results.
【學(xué)位授予單位】:東北石油大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2011
【分類號(hào)】:TH45;TH165.3
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