What is it about?
In engineering practice, virtually all noise diagnostic problems cannot be solved analytically. This is because there are many more unknown variables than the governing equation and constraint conditions. Moreover, test environment is arbitrarily shaped with a large number of unknown obstacles and boundary surfaces. Instead of looking for the analytic solution, the HELS method enables one to find the optimal approximations to a variety of noise problems, making it a very practical tool to tackle challenging noise issues.
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Why is it important?
One can hear sound but not see it. This makes noise diagnosis and control very difficult. In the past, people would have to rely on trial and error approaches to locate where sound is emitted, making noise mitigation a challenging task.
Perspectives
This book also presents a comprehensive overview and comparisons of advantages and disadvantages of all near-field acoustic holography technologies. Most importantly, it provides a complete list of references of refereed journal articles on this subject, which can be an invaluable resource for interested readers.
Sean Wu
Wayne State University
Read the Original
This page is a summary of: The Helmholtz Equation Least Squares Method, January 2015, Springer Science + Business Media,
DOI: 10.1007/978-1-4939-1640-5.
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