Nieradka, P.; Dobrucki, A. A Modification of the Monte Carlo Filtering Approach for Correcting Negative SEA Loss Factors. Acoustics2022, 4, 1028-1044.
Nieradka, P.; Dobrucki, A. A Modification of the Monte Carlo Filtering Approach for Correcting Negative SEA Loss Factors. Acoustics 2022, 4, 1028-1044.
Nieradka, P.; Dobrucki, A. A Modification of the Monte Carlo Filtering Approach for Correcting Negative SEA Loss Factors. Acoustics2022, 4, 1028-1044.
Nieradka, P.; Dobrucki, A. A Modification of the Monte Carlo Filtering Approach for Correcting Negative SEA Loss Factors. Acoustics 2022, 4, 1028-1044.
Abstract
Monte Carlo Filtering (MCF) is one of the methods of Experimental Statistical Energy Analysis (E-SEA), which allows the correction of a negative LF (Loss Factor). In this article, a modification of the MCF method, called DESA (Diagonal Extension of the Search Area), is proposed. The technique applies a non-uniform extension of the search area when generating a population of normalized energy matrices. The degree of expansion of the search area is controlled by the Diagonal Penalty Factor (DPF). The authors demonstrated the method's effectiveness on a system that could not be identified in several frequency bands by the classical MCF method. After applying DESA, it was possible to fill in the problematic bands that were missing CLF and DLF values. The paper also proposes a way to minimize the errors introduced by using overly high DPF values.
Keywords
Statistical Energy Analysis; Coupling Loss Factor; Power Injection Method; Monte Carlo Filtering
Subject
Engineering, Mechanical Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
