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Liang Chen, Xingrong Lu, Daping Deng, Mehdi Kouhdarag and Yimin Mao
Our study focuses on the dynamic transient analysis of arched beam bridges over rivers, which face unique geohazards and challenges, including vibrations and dynamic loads that can affect structural integrity. The finite element software ANSYS v. 19.3 wa...
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Marta Zamorano, Deivis Avila, Graciliano Nicolás Marichal and Cristina Castejon
Air quality can be affected by merchant ships, so it is important to regulate emissions that are produced, as well as to use energy efficiently. In this sense, the cleanliness of the oil used in lubrication is essential to achieve a better use of energy ...
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Alan Kanamatovich Karaev, Oksana S. Gorlova, Marina L. Sedova, Vadim V. Ponkratov, Nataliya S. Shmigol and Svetlana E. Demidova
Improving the accuracy of cash flow forecasting in the TSA is the key to fulfilling government payment obligations, minimizing the cost of maintaining the cash reserve, providing the absence of outstanding debt accumulation, and ensuring investment in va...
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Sangho Choe and Jeonghwa Yoo
Smart Grid; Power Quality Monitoring Systems; Supervisory Control and Data Acquisition; Advanced Metering Infrastructure.
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Boris Alexander Medina, Ramón Alvarez López
Pág. 226 - 238
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Wenxiang Xu, Jianjun Shi and Hao Zhang
Building a new tunnel adjacent to an existing tunnel has become a common means of transformation in engineering. Existing tunnels are prone to some deterioration, such as cavities and cracks under long-term traffic load. This kind of deterioration tunnel...
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Naghmeh Jafarpournaser, Mahmoud Reza Delavar and Maryam Noroozian
The increasing prevalence of cognitive disorders among the elderly is a significant consequence of the global aging phenomenon. Wandering stands out as the most prominent and challenging symptom in these patients, with potential irreversible consequences...
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Chuan-Sheng Wu, Jian-Qiang Zhang, Ling-Ling Qi and De-Bing Zhuo
Defects in pile foundations, such as neck defects, bulge imperfections, weak concretes, cracks, and broken piles, can cause a decrease in the bearing capacity and the structural stability of the foundation. Identification of the type of defect is vital i...
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Ruicong Han and Xuefeng Zhao
Structural health monitoring (SHM) systems using modal- and vibration-based methods, particularly wireless systems, have been widely investigated in relation to the monitoring of damage states in civil infrastructures such as bridges and buildings. Unlik...
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Peilu Li, Chunguang Xu, Qinxue Pan, Yuren Lu and Shuangyi Li
According to the acousto elastic effect, the residual stress on the surface of the rail can be evaluated by measuring the change in the propagation velocity of ultrasonic waves, such as longitudinal critically refracted (LCR) waves on the surface of the ...
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Zhiyan Zhao, Bin Wu and Ting Zhou
The lateral damper is one of the key components of rolling stock. Establishing the relationship between the degraded signal and the health state of the lateral damper is important in order to perform timely performance detection and fault diagnosis. This...
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Hyeong-Joo Kim, Jose Leo Mission, Peter Rey Dinoy, Hyeong-Soo Kim and Tae-Woong Park
Nonlinear amplification is typically done on velocity signals from low-strain pile integrity tests to enhance weak echoes and superimpose any peak reflections. This conventional method may sometimes fail to untangle the hidden information within the sign...
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Steve Koshy Mathew and Yu Zhang
In this paper, the proposed method is validated using experimental studies based on sound signals for engine fault diagnosis, though ultimately the developed framework can be widely applicable to many other industrial fault diagnosis scenarios, e.g., in ...
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Gang Yan, Xiang Lu and Jianfei Tang
The technique presented in this paper has potential application in structural health monitoring of composite structures.
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Yinsheng Chen, Tinghao Zhang, Zhongming Luo and Kun Sun
To improve the fault identification accuracy of rolling bearing and effectively analyze the fault severity, a novel rolling bearing fault diagnosis and severity analysis method based on the fast sample entropy, the wavelet packet energy entropy, and a mu...
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Muhammad Sohaib and Jong-Myon Kim
Boiler heat exchange in thermal power plants involves tubes to transfer heat from the fuel to the water. Boiler tube leakage can cause outages and huge power generation loss. Therefore, early detection of leaks in boiler tubes is necessary to avoid such ...
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Hong Liang, Yong Chen, Siyuan Liang and Chengdong Wang
The stator inter-turn short circuit fault is one of the most common and key faults in permanent magnet synchronous motor (PMSM). This paper introduces a time–frequency method for inter-turn fault detection in stator winding of PMSM using improved w...
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Jia-Hua Chen and Shu-Liang Zou
Shearing machines are the key pieces of equipment for spent–fuel reprocessing in commercial reactors. Once a failure happens and is not detected in time, serious consequences will arise. It is very important to monitor the shearing machine and to d...
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Çaglar Uyulan, David Mayor, Tony Steffert, Tim Watson and Duncan Banks
The field of signal processing using machine and deep learning algorithms has undergone significant growth in the last few years, with a wide scope of practical applications for electroencephalography (EEG). Transcutaneous electroacupuncture stimulation ...
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Fengyun Xie, Gang Li, Hui Liu, Enguang Sun and Yang Wang
In the context of addressing the challenge posed by limited fault samples in agricultural machinery rolling bearings, especially when early fault characteristics are subtle, this study introduces a novel approach. The proposed multi-domain fault diagnosi...
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