Estimation of interior noise by using hybrid transfer path analysis

Kim, Sung-Jong; Og, Ki-Gug; kim, Su-Gon; Lee, Sang Kwon

doi:10.3397/1.2955775

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…ese methods can identify the acoustics sources according to the coherence values calculated from the signals measured by multiple sensors. Mixed transfer path analysis (TPA) can also be used to predict the internal acoustics caused by vibration of power [10], thus inhibiting the whole vehicle acoustics. Zhang et al [11] have identified combustion acoustics of gasoline engines, mechanical meshing acoustics of air compressors in driving wheels, and electromagnetic acoustics of generators by independent component analysis (ICA).…”

Section: Introductionmentioning

confidence: 99%

Acoustics Source Identification of Diesel Engines Based on Variational Mode Decomposition, Fast Independent Component Analysis, and Hilbert Transformation

Chen

Lin

Jin

et al. 2021

Shock and Vibration

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Diesel engines are widely used in railway systems, particularly in freight trains. Despite their high efficiency in energy conversion, they usually generate high levels of acoustics pollution during operation. In order to mitigate this problem, a series of active/passive acoustics control methods are used to reduce noise. Most of these methods are only effective if the prior knowledge of sources is given. In other words, it is essential to recognize the acoustics source. Variational mode decomposition (VMD) is a signal processing method that enhances the signal corrupted by background noise. However, the decomposed results of VMD depend on their mode parameter and penalty parameter. Therefore, an evaluation method based on system modal parameters (natural frequency and damping ratio) is proposed to select the mode parameter, and the penalty parameter can be selected from the power spectra of signals. In order to increase the accuracy of decomposition for diesel engines and find out the sources of acoustics, a method combining VMD, fast independent component analysis, and Hilbert transformation (VMD-FastICA-HT) is proposed for the separation and identification of different sources for diesel engines. The optimization results indicate that when the penalty parameter value is 1.5 to 16 times the maximum signal amplitude, better decomposition results can be achieved. Therefore, the separated independent acoustics are more accurate in source identification. Furthermore, both simulation data and in situ operational data of diesel engines for vehicles are used to validate the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Acoustics Source Identification of Diesel Engines Based on Variational Mode Decomposition, Fast Independent Component Analysis, and Hilbert Transformation

Chen

Lin

Jin

et al. 2021

Shock and Vibration

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show abstract

“…Consequently, a hybrid prediction method of interior noise is developed on the basis of hybrid TPA. 4–11 It is a combination of analytical and experimental approaches, and the interior noise is forecast by using the simulation model and the tested excitation. On the one hand, this hybrid method retains the advantages of reliability and flexibility.…”

Section: Introductionmentioning

confidence: 99%

Prediction and control of the structure-borne noise of a vehicle based on an optimization technique of the vehicle-body model

Meng

Zhang

Lin

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part D:

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A novel optimization approach is proposed for the development of the body-in-white model of a hatchback car based on the effective independence–weighted average acceleration amplitude method and the modal assurance criterion. By employing this optimization method, not only are the modal frequency and the mode shape identified more accurately, but also the experimental efficiency is significantly improved. According to the level of concern of the vibration mode, weighted factors are given to the modal features in order to make the sensor arrangement more efficient and reasonable. The target parameters are obtained by a sensitivity analysis of the design parameters of the hatchback car and an optimization is carried out. An acoustic–structural coupled model is developed on the basis of the optimized body-in-white model and used for prediction of the interior structure-borne noise of the hatchback car. The predicted results of the sound pressure level show good agreement with the experimental data, particularly at the frequencies concerned. By using the multi-position multi-frequency method, the mean acoustic contribution coefficient is proposed, and the panels with significant influence on the interior noise are identified. Accordingly, some modifications of the car body are made by using damping material. As a result, the interior noise decreases totally in the range from 10 Hz to 60 Hz. Some significant reductions are obtained at 23.34 Hz and 46.68 Hz, namely 4.1 dB(A) and 2.5 dB(A) at the position of the driver’s right ear and 4.6 dB(A) and 3.5 dB(A) at the middle of the rear seat.

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Study on interior noise control of minibus based on structural acoustic radiation

Xiao

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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Aiming at the problem of excessive low-frequency noise inside a minibus, the interior noise control scheme was studied to improve the NVH (Noise, Vibration, and Harshness) performance of the vehicle based on the characteristics of the structural acoustic radiation. With acoustic contribution as the evaluation index, the ability of the structure to radiate noise to the vehicle was studied from the perspective of modal participation and panel contribution. In this study, the legacy finite element model of the vehicle was firstly established, and the model was validated through the modal test of the BIW (Body in White), and the noise transfer function analysis was carried out to identify the critical frequency points. Furthermore, the improved super element method (SEM) was used to establish the super element simulation model of the vehicle, the simulation analysis of the modal contribution and panel contribution was carried out for the critical frequency points, and the panels that provide the main contribution were determined. In addition, a single-factor experimental study was carried out on the position of the critical panel by using the dynamic vibration absorbers with different performance parameters, so as to verify the accuracy of the simulation results of the panel acoustic contribution for the critical frequency. Finally, the structural optimization schemes of the critical panels were designed and verified by experiments. It was indicated that optimizing the acoustic radiation characteristics of the structure by improving the body panel structure to reduce interior noise was feasible.

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Estimation of interior noise by using hybrid transfer path analysis

Cited by 3 publications

References 6 publications

Acoustics Source Identification of Diesel Engines Based on Variational Mode Decomposition, Fast Independent Component Analysis, and Hilbert Transformation

Acoustics Source Identification of Diesel Engines Based on Variational Mode Decomposition, Fast Independent Component Analysis, and Hilbert Transformation

Prediction and control of the structure-borne noise of a vehicle based on an optimization technique of the vehicle-body model

Study on interior noise control of minibus based on structural acoustic radiation

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