A Research On The Suppression Method Of Compressor Unit Vibration And Noise And Analysis Method Of Acoustic Emission Signals For Offshore Platform Damage

Compressor units are widely used in petrochemical, metallurgy, electric power and other processes industry, what are core equipment of these factories. Researching on the suppression method of compressor unit vibration and noise, are important means to ensure the safe and stable operation. There has rich oil and gas resources in oceans, using offshore platform to develop these resources may greatly enhance the petroleum resources safety of China. The offshore platform service environment is so complex that traditional nondestructive testing method (NDT) are not suitable for platform monitoring. Acoustic emission (AE) with these advantages of real-time monitoring and sensitive to dynamic damage are suitable for the damage monitoring of offshore platform. So there has great meaning to research the analysis method of acoustic emission signals for offshore platform damage identification.Part 1 is a research on the suppression method of compressor unit vibration and noise. Analysing the typical compressor units vibration and noise source and the fault feature. Aiming at the characteristics of compressor unit coupling vibration caused by fluid unsteady flow, put forwards the fault identification method and solutions. According to the situation of carbon dioxide compressor superstandard vibration, analyse the pipeline gas and structure natural frequency, put forward the vibration reduction scheme, and achieve good results.Part 2 is a research on the analysis method of acoustic emission signals for offshore platform damage. First analyse the basic principle and characteristics of AE signals transmit in ideal medium. Building the test platform, measure the real signals of crack, corrosion, impact and friction, then analyse the properties of these signals in time domain, frequency domain and ambiguity function domain respectively. Identifying the various types of damage effectively through building an ambiguity function integrated correlation coefficient, providing the reliable theoretical basis to build the identification system based on the correlation coefficient of ambiguity function images template library of AE signals.