|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Moving Force Identification - Time Domain Method显示文摘 | Law S S Chan T H T Zeng Q H | 1997 | Journal of Sound and Vibration1997，201，1： | 4 |
| 2 | HIGH-SPEED RAILWAY LINES ON SOFT GROUND: DYNAMIC BEHAVIOUR AT CRITICAL TRAIN SPEED显示文摘 | C. MADSHUS A.M. KAYNIA | 2000 | Journal of Sound and Vibration2000，，3： | 3 |
| 3 | Vibration analyse of pre-stressed rotating thick circular conical shell显示文摘 | Sivadas K R | 1995 | Jouranl of Sound and Vibration1995，186，1： | 3 |
| 4 | A three-dimensional tunnel model for calculation of train-induced ground vibration显示文摘 | J.A. Forrest H.E.M. Hunt | 2006 | Journal of Sound and Vibration2006，，4： | 3 |
| 5 | Vibrations due to a test train at variable speeds in a deep bored tunnel embedded in London clay显示文摘 | | 2006 | Journal of Sound and Vibration2006，，3： | 3 |
| 6 | Transient vibration phenomena in deep mine hoisting cables. Part 1: Mathematical model显示文摘 | S. Kaczmarczyk W. Ostachowicz | 2002 | Journal of Sound and Vibration2002，，2： | 3 |
| 7 | Structural identification from ambient vibration measurement using the multivariate AR model显示文摘 | Huang C S | 2000 | Journal of Sound and Vibration2000，241，3： | 2 |
| 8 | Ray-normal mode and hybrid analysis of transient waves in a finite beam显示文摘 | Su X Y Pao Y H | 1992 | Journal of Sound and Vibration1992，151，2： | 2 |
| 9 | A particle damper for vibration and noise reduction显示文摘 | Zhiwei Xu Michael Yu Wang Tianning Chen | 2003 | Journal of Sound and Vibration2003，，4： | 2 |
| 10 | Freefield vibrations due to dynamic loading on a tunnel embedded in a stratified medium显示文摘 | D. Clouteau M. Arnst T.M. Al-Hussaini G. Degrande | 2004 | Journal of Sound and Vibration2004，，1： | 2 |
| 11 | Analytical and numerical approaches to nonlinear galloping of internally resonant suspended cables显示文摘 | Angelo Luongo Daniele Zulli Giuseppe Piccardo | 2008 | Journal of Sound and Vibration2008，，3： | 2 |
| 12 | Morphological undecimated wavelet decomposition for fault diagnostics of rolling element bearings显示文摘 | Rujiang Hao Fulei Chu | 2008 | Journal of Sound and Vibration2008，，4： | 2 |
| 13 | A harmonically excited elastic half-plane containing a rigid flat inclusion显示文摘 | Doyum A B Erdogan F | 1994 | Journal of Sound and Vibration1994，171，1： | 2 |
| 14 | Prediction of vibrations induced by underground railway traffic in Beijing显示文摘 | S. Gupta W.F. Liu G. Degrande G. Lombaert W.N. Liu | 2007 | Journal of Sound and Vibration2007，，3： | 2 |
| 15 | Chebyshev polynomial approximation for dynamical response problem of random system显示文摘 | T. Fang X.L. Leng C.Q. Song | 2003 | Journal of Sound and Vibration2003，，1： | 2 |
| 16 | Non-Linear Transient Analysis of Rotor-Casing Rub Events显示文摘 | Choy F K Padovan J | 1987 | Journal of Sound and Vibration1987，113，3： | 2 |
| 17 | Helicopter rotor blade frequency evolution with damage growth and signal processing显示文摘 | Niranjan Roy Ranjan Ganguli | 2004 | Journal of Sound and Vibration2004，，3： | 2 |
| 18 | Using Audiometric Data to Weigh and Prioritize Factors that Affect Workers’ Hearing Loss through Support Vector Machine (SVM) Algorithm显示文摘Workers’exposure to excessive noise is a big universal work-related challenges.One of the major consequences of exposure to noise is permanent or transient hearing loss.The current study sought to utilize audiometric data to weigh and prioritize the factors affecting workers’hearing loss based using the Support Vector Machine(SVM)algorithm.This cross sectional-descriptive study was conducted in 2017 in a mining industry in southeast Iran.The participating workers(n=150)were divided into three groups of 50 based on the sound pressure level to which they were exposed(two experimental groups and one control group).Audiometric tests were carried out for all members of each group.The study generally entailed the following steps:(1)selecting predicting variables to weigh and prioritize factors affecting hearing loss;(2)conducting audiometric tests and assessing permanent hearing loss in each ear and then evaluating total hearing loss;(3)categorizing different types of hearing loss;(4)weighing and prioritizing factors that affect hearing loss based on the SVM algorithm;and(5)assessing the error rate and accuracy of the models.The collected data were fed into SPSS 18,followed by conducting linear regression and paired samples t-test.It was revealed that,in the first model(SPL<70 dBA),the frequency of 8 KHz had the greatest impact(with a weight of 33%),while noise had the smallest influence(with a weight of 5%).The accuracy of this model was 100%.In the second model(7085 dBA),the frequency of 4 KHz had the highest impact(with a weight of 22%),while the frequency of 250 Hz had the smallest influence(with a weight of 3%).The accuracy of this model was 100%too.In the fourth model,the frequency of 4 KHz had the greatest effect(with a weight of 24%),while the frequency of 500 Hz had the smallest effect(with a weight of 4%).The accuracy of this model was found to be 94%.According to the modeling conducted using the SVM algorithm,the frequency of 4 KHz has the most profound effect on predicting changes in hearing loss.Given the high accuracy of the obtained model,this algorithm is an appropriate and powerful tool to predict and model hearing loss. | Hossein ElahiShirvan MohammadReza Ghotbi-Ravandi Sajad Zare Mostafa Ghazizadeh Ahsaee | 2020 | Sound & Vibration2020，54，2： | 2 |
| 19 | STRUCTURE-BORNE SOUND AND VIBRATION FROM RAIL TRAFFIC显示文摘 | M. Heckl G. Hauck R. Wettschureck | 1996 | Journal of Sound and Vibration1996，，1： | 2 |
| 20 | A Study of the Suitable Measurement Location and Metrics for Assessing the Vibration Source Strength Based on the Field-Testing Data of Nanchang Underground Railway显示文摘Underground railway vibration source strength is one of the key values used for environmental impact assessment and the evaluation of mitigation measure’s performance.However,currently there is no international standard of measuring the underground railway vibration source strength for such purposes.The available local standards and industrial guidelines do not agree on measurement locations as well as the metrics for presenting the source strength.This has caused many confusions.This paper aims to study the suitable measurement location and metrics using the data from a large scale field-testing carried out at the Nanchang underground railway(Metro Line 1,China)in 2017.200 passing trains were recorded during the test at two different sections of the railway line,one with the spring floating slab installed and the other without.Three locations were chosen at each section,including one in the middle of the track and two on the tunnel wall at different heights.Based on the results of statistical analysis,the maximum of z-weighted vertical vibration level(VLzmax)obtained at a lower measurement location on the tunnel wall is the best for representing the underground railway vibration source strength,which is 76.66 dB obtained from this study. | Ling Zhang Xiaoyan Lei Jian Jiang Qingsong Feng | 2018 | Sound & Vibration2018，52，5： | 2 |
您所在的机构暂未开通此部分的功能，请联系管理员