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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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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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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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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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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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Qingbin Tong, Feiyu Lu, Ziwei Feng, Qingzhu Wan, Guoping An, Junci Cao and Tao Guo
The data-driven intelligent fault diagnosis method of rolling bearings has strict requirements regarding the number and balance of fault samples. However, in practical engineering application scenarios, mechanical equipment is usually in a normal state, ...
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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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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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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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