An Algorithm to Automatically Detect and Distinguish Squeaks and Rattles

作者：Lee Gil Jun^*; Kim Jay; Kim Kichang

来源：Sound and Vibration, 2015, 49(9): 8-10.

Squeak and rattle (S&R) noises are undesirable noises caused by friction-induced vibration or impact between surfaces. While several computer programs have been developed to automatically detect and rate S&R events over the years, no reported work has been found that can detect squeak and rattle noises and distinguish them. Because the causes of squeak and rattle noises are different, knowing if it is a squeak noise or rattle noise will be very helpful for automotive engineers to choose an appropriate measure to solve the problem. We have developed a new algorithm to differentiate squeak noises and rattle noises and added it to the S&R detection algorithm we had developed previously. The new algorithm utilizes a combination of sound quality metrics: sharpness, roughness, and fluctuation strength. A three-dimensional space defined by the maximum values of sharpness, roughness, and fluctuation strength of the noise are used to differentiate squeak and rattle noises.

• 出版日期2015-9