Evaluating noise sources can be challenging when multiple sources are involved, and their interactions are complex. Holography is an inverse solution technology that allows the identification and ranking of sources using near field sound measurement. Traditionally, holography has been applied to simple geometries such as planar, cylindrical, or spherical surfaces. This project aims to identify coherent, incoherent, and partially coherent sources in complex structures using measurements taken with a flexible non-planar layout. The project also includes the development of extensive regularization techniques, such as Tikhonov, Morozov principle, and Generalized Cross Validation.