Development of an algorithm for automatic detection and rating of squeak and rattle events

Chandrika, Unnikrishnan Kuttan; Kim, Jay H.

doi:10.1016/j.jsv.2010.05.003

Cited by 16 publications

(2 citation statements)

References 11 publications

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“…However, the possibility of making an erroneous decision when removing all the low-frequency bands exists because the frequency components of the actual background noise are usually non-stationary. Thus, considering the non-stationary nature of background noise, methods based on time-frequency characterization such as wavelet transform, were suggested to reduce the accidental elimination of BSR noise [14].…”

Section: Introductionmentioning

confidence: 99%

An in-Process Inspection System to Detect Noise Originating from within the Interior Trim Panels of Car Doors

Baek

Kim

2020

Sensors

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Car body parts are sometimes responsible for irritating noise caused by assembly defects. Typically, various types of noise are known to originate from within the interior trim panels of car doors. This noise is considered to be an important factor that degrades the emotional satisfaction of the driver of the car. This research suggests an in-process inspection system consisting of an inspection workstation and a noise detection method. The inspection workstation presses down the car door trim panel by using a pneumatic pusher while microphones record the acoustic signals directly above the door trim panel and on the four sides of the workstation. The collected signals are analyzed by the proposed noise detection method after applying noise reduction. The noise detection method determines the presence of irritating noise by using noise source localization in combination with the time difference of arrival method and the relative signal strengths. The performance of the in-process noise detection system was evaluated by conducting experiments on faulty and healthy car door trim panels.

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Section: Introductionmentioning

confidence: 99%

An in-Process Inspection System to Detect Noise Originating from within the Interior Trim Panels of Car Doors

Baek

Kim

2020

Sensors

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“…We should study and extract the signal features from time and frequency domains, while the sound quality prediction model based on advanced time frequency signal processing (such as wavelets, EMD, and WVD) has not yet been widely used [5].…”

Section: Introductionmentioning

confidence: 99%

Study on the Sound Quality of Steady and Unsteady Exhaust Noise

Fa-lin

Sun

2018

Mathematical Problems in Engineering

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In order to predict and study the sound quality of automobile exhaust noise, Zwicker steady-state and time-varying method were applied to calculate the psychoacoustic objective parameter values in terms of the exhaust noise of sample cars at uniform velocity and accelerated velocity; Thereby, a prediction model of GA-BP sound quality based on psychoacoustic objective parameters was established. At the same time, wavelet analysis was used to decompose the accelerated signal; in order to overcome the shortcomings such as Heisenberg uncertainty, the RNR (regularization nonstationary regression technique) was applied to compute the WVD distribution (RNR-WVD), therefrom obtaining the coefficient matrices of different-band signals after wavelet decomposition, and then A weighting was carried out on the coefficient matrices, so as to establish a new sound quality parameter SQP-WRW (sound quality parameter base on wavelet and then proceed to RNR-WVD) as the input of GA-BP model, and therefrom a sound quality prediction model was established. The results indicate that the model based on SQP-WRW has higher precision for predicting the sound quality of acceleration signal, and it can better reflect the characteristics of acceleration signal and sound quality.

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Research on the sound metric of door-slamming sound based on leaky integration and wavelet decomposition

Yang

Xia

2014

Int.J Automot. Technol.

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Development of an algorithm for automatic detection and rating of squeak and rattle events

Cited by 16 publications

References 11 publications

An in-Process Inspection System to Detect Noise Originating from within the Interior Trim Panels of Car Doors

An in-Process Inspection System to Detect Noise Originating from within the Interior Trim Panels of Car Doors

Study on the Sound Quality of Steady and Unsteady Exhaust Noise

Research on the sound metric of door-slamming sound based on leaky integration and wavelet decomposition

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