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Michael Leupolz and Frank Gauterin
Especially for electric vehicles, the tire impact on car noise is becoming more and more important. The requirement of meeting certification criteria makes estimating the sound pressure level essential for vehicle manufacturers. Most recent research on t...
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Víctor F. Vázquez, Fernando Terán, Pedro Huertas and Santiago Expósito Paje
This paper presents the geo-referenced acoustical results obtained throughout the close proximity noise (CPX) technique carried out on different urban sections included within the 2017 strategic noise mapping (Directive 2002/49/CE) in Ciudad Real, a Span...
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Wootae Jeong and Dahae Jeong
Results and algorithm proposed in this research can be applicable in developing devices measruing acoustic rail surface irregularities, and various potental surface measuring equipment with a moving platform.
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Jiesi Luo and Shaohui Zhang
The periodic impulse characteristics caused by rolling bearing damage are weak in the incipient failure stage. Thus, these characteristics are always drowned out by background noise and other harmonic interference. A novel approach based on multi-resolut...
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Zheng Li, Anbo Ming, Wei Zhang, Tao Liu, Fulei Chu and Yin Li
In order to extract and enhance the weak fault feature of rolling element bearings in strong noise conditions, the Empirical Wavelet Transform (EWT) is improved and a novel fault feature extraction and enhancement method is proposed by combining the Maxi...
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Jerzy A. Ejsmont, Luc Goubert, Grzegorz Ronowski and Beata Swieczko-Zurek
Noise is one of the most important environmental problems related to road traffic. During the last decades, the noise emitted by the engines and powertrains of vehicles was greatly reduced and tires became a clearly dominant noise source. The article des...
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Manfred Haider, Marco Conter, Martin Green, Bjarne Schmidt, Ulf Sandberg
Pág. 2946 - 2955
ROSANNE is a collaborative project in the Seventh EU Framework Programme which aims at developing/harmonising measurement methods for skid resistance, noise emission and rolling resistance of road pavements as a preparation for standardization. To achiev...
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Martin Czuka, Marie Agnès Pallas, Phil Morgan, Marco Conter
Pág. 2678 - 2687
With the advent of electric vehicles and their significant lower propulsion noise emission it is possible to assess the tyre-road noise trough cruise-by measurements with an increased accuracy, even at speeds where a combustion engine propulsion system w...
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Ling Zhao, Xin Chi, Pan Li and Jiawei Ding
A rolling bearing vibration signal fault feature enhancement method based on adaptive complete ensemble empirical mode decomposition with adaptive noise algorithm (CEEMDAN) and maximum correlated kurtosis deconvolution (MCKD) is proposed to address the i...
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Rodrigo Tavares de Freitas and Sakdirat Kaewunruen
A focus of the railway industry over the past decades has been to research, find and develop methods to mitigate noise and vibration resulting from wheel/rail contact along track infrastructure. This resulted in a wide range of abatement measures that ar...
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Oliwia Merska, Pawel Mieczkowski, Dawid Zymelka
Pág. 2688 - 2697
As automobile traffic increases in urban areas, noise generated by vehicle traffic has become an increasing nuisance and a growing concern. Road traffic noise abatement has therefore become a major priority. New product is a low-noise mix designed to mee...
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Beibei Yao, Jia Su, Lifeng Wu and Yong Guan
Due to the noise accompanied with rolling element bearing fault signal, it can reduce the accuracy of faulty diagnoses. In order to improve the robustness of a faulty diagnosis, this study proposed a fault diagnosis model based on modified local linear e...
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Eulalia Peris, Javier Goikoetxea
Pág. 567 - 574
A modal shift to rail is crucial to achieving a reduction in greenhouse gas emissions, relieving urban congestion and providing increased mobility. In order to successfully meet this growing demand for efficient and green mobility, the railway sector nee...
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Jun Li, Hongchao Wang, Simin Li, Liang Chen and Qiqian Dang
To extract the weak fault features hidden in strong background interference in the event of the early failure of rolling bearings, a two-stage based method is proposed. The broadband noise elimination ability of an adaptive morphological filter (AMF) and...
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Shijie Shan, Jianming Zheng, Kai Wang, Ting Chen and Yuhua Shi
Aiming at the problems of the low detection accuracy and difficult identification of the early weak fault signals of rolling bearings, this paper proposes a method for detecting the early weak fault signals of rolling bearings based on a double-coupled D...
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Ali Aghazadeh Ardebili, Antonio Ficarella, Antonella Longo, Adem Khalil and Sabri Khalil
Autonomous aircraft are the key enablers of future urban services, such as postal and transportation systems. Digital twins (DTs) are promising cutting-edge technologies that can transform the future transport ecosystem into an autonomous and resilient s...
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Hongjiang Cui, Ying Guan and Wu Deng
Aiming at the problems of poor decomposition quality and the extraction effect of a weak signal with strong noise by empirical mode decomposition (EMD), a novel fault diagnosis method based on cascaded adaptive second-order tristable stochastic resonance...
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Lingli Cui, Jianxi Du, Na Yang, Yonggang Xu and Liuyang Song
Vibration analysis is one of the main effective ways for rolling bearing fault diagnosis, and a challenge is how to accurately separate the inner and outer race fault features from noisy compound faults signals. Therefore, a novel compound fault separati...
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Xiaofeng Wang, Xiuyan Liu, Jinlong Wang, Xiaoyun Xiong, Suhuan Bi and Zhaopeng Deng
As a critical component of rotating machinery, rolling bearings are essential for the safe and efficient operation of machinery. Sudden faults of rolling bearings can lead to unscheduled downtime and substantial economic costs. Therefore, diagnosing and ...
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Abas Omar Mohamed
The study investigated the empirical role of past values of Somalia?s GDP growth rates in its future realizations. Using the Box?Jenkins modeling method, the study utilized 250 in-sample quarterly time series data to forecast out-of-the-sample Somali GDP...
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