Research On Source Identification By Using Acoustic Holography

Near-field acoustic holography is an important technology of Acoustic Holography, a significant way to distinguish noise. By using this method, we can not only obtain the distribution of pressure, velocity and acoustic intensity in the whole space, but also calculate other acoustic parameters in the sound field.In this dissertation, noise distinguish method based on NAH are researched from theory,numerical simulation,lake experiment. Prove that NAH based on pressure, velocity and acoustic intensity are three effective method to location and distinguish sources.Proceed with the basic formula of radiation sound field, analyze NAH based on pressure,velocity and acoustic intensity in theory through the basic formula of NAH. Evolve the BAHIM formula of cylinder from the postulate of BAHIM. And fetched the discrete expression in limited space, offered the error controlled measure.Simulated NAH theory based on pressure,velocity and compared the results. Simulated NAH and BAHIM theory based on acoustic intensity, analyzed the phase errors and offered the error controlled measure. Proved that BAHIM is an feasible and effective way to identify complicated sources.Processed the data and analyzed the results of the experiment on Songhua—lake. During the processing, we can see that numerical simulate is right, and proved the feasibility and validity of NAH to identify sound fountain. All the research on the NAH and BAHIM make preparations for future research.