Article
Automation & Control Systems
Shuzhi Gao, Tianchi Li, Yimin Zhang, Zhiming Pei
Summary: This research proposes a rolling bearing fault diagnosis model based on adaptive modified complementary ensemble empirical mode decomposition (AMCEEMD) and a one-dimensional convolutional neural network (1DCNN). The model aims to improve fault diagnosis accuracy by denoising the vibration signal, extracting effective features, and utilizing an improved classification method.
Article
Engineering, Chemical
Yu Zhang, Zhu Feng, Xiaobo Rui, Bingpu Wang, Hao Feng, Xinjing Huang
Summary: The article proposes an adaptive passive acoustic characteristic frequency extraction (APACFE) method for measuring underwater escaping gas flow under constant and variable speed conditions. The accuracy of frequency identification is ensured by using a normalized energy window to determine the time period of each bubble. The study demonstrates that the APACFE method has better adaptability and can accurately measure the flow rate.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Engineering, Civil
Fang-Fang Li, Han Cao, Chun-Feng Hao, Jun Qiu
Summary: Accurate streamflow prediction is crucial for water resource management, and data-driven models like artificial neural networks and support vector machines have been widely used. However, traditional models often overlook the unique characteristics of the data. This study introduces a daily flow prediction model based on pattern recognition of flow sequences, which outperforms traditional ANN and SVM models in accuracy, especially in predicting flood peaks.
WATER RESOURCES MANAGEMENT
(2021)
Article
Thermodynamics
L. Syam Sundar, Hiren K. Mewada
Summary: The thermal entropy generation, frictional entropy generation, and exergy efficiency of CoFe2O4/water nano-fluids flow in a tube were experimentally analyzed and predicted using ANFIS and MLP algorithms. CoFe2O4 nanoparticles were synthesized through chemical coprecipitation and characterized with XRD and TEM instruments. The thermophysical properties of CoFe2O4/water nanofluids were evaluated in the temperature range of 20°C to 60°C and volume concentration range of 0.25% to 1.25%. The experimental results showed a decrease in thermal entropy generation by 31.80% and an increase in frictional entropy generation by 240.17%, as well as an improvement in exergy efficiency by 17.58% compared to the base fluid. The ANFIS model demonstrated high accuracy in predicting the experimental data, with correlation coefficients of 0.99798, 0.9944, and 0.99427 for thermal entropy, frictional entropy, and exergy efficiency, respectively. New correlations for thermal entropy, frictional entropy, and exergy efficiency were proposed based on the experimental data.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2023)
Article
Chemistry, Analytical
Nicoletta Saulig, Jonatan Lerga, Sinisa Milicic, Zeljka Tomasovic
Summary: This paper proposes a denoising method based on amplitude segmentation and local Renyi entropy estimation criteria limited over short time blocks, reducing the denoising problem to the stationary noise case. Results demonstrate consistently better performance compared to denoising driven by global criteria for both synthetic and real data.
Article
Geochemistry & Geophysics
Min Ji, Xiangyuan Zhao, Wei Zhu, Yuchun You, Jinfeng Zhang, Mohan Shang, Xiaoya Chuai, Yajuan Xue, Chenhao Lian, Wei Chen
Summary: Noise attenuation is important in seismic signal processing. The classic algorithm, Complementary Ensemble Empirical Mode Decomposition (CEEMD), is commonly used for denoising, but it often results in insufficient noise attenuation and loss of effective signal. Wavelet threshold denoising can enhance the useful part of the signal by selecting the appropriate threshold, but it may cause signal fragmentation. This paper proposes an improved adaptive wavelet threshold denoising method based on CEEMD in f-x domain, which overcomes the limitations of traditional methods and shows better attenuation effect on random noise.
JOURNAL OF SEISMIC EXPLORATION
(2023)
Article
Engineering, Mechanical
Prashant Kumar Sahu, Rajiv Nandan Rai
Summary: In this paper, an improved denoising technique is proposed for early fault diagnosis of rolling bearing using complete ensemble empirical mode decomposition (CEEMD) and adaptive thresholding (ATD) method. Experimental results show that the proposed method effectively enhances signal quality and fault detection performance compared to the original and other conventional approaches.
JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES
(2023)
Article
Engineering, Electrical & Electronic
Hao Tang, Shurun Wang, Qi Tan, Bin Wang
Summary: The proposed method utilizes global-based rapid composite multiscale sample entropy to analyze the sEMG signal and applies a double threshold method for the detection of muscle activation intervals. The results demonstrate that the method effectively detects muscle activation intervals.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Nanoscience & Nanotechnology
Florent Voisin, Gerald Lelong, Jean-Michel Guigner, Thomas Bizien, Jean-Maurice Mallet, Florent Carn
Summary: Stable nanocrystal aggregates can be obtained in water using a milli-flow system, and the aggregation number can be controlled by adjusting the reaction time, leading to maximized optical absorption. This has important implications for cost-effective mass production of nanostructures.
ACS APPLIED NANO MATERIALS
(2022)
Article
Engineering, Electrical & Electronic
Meiyan Zhang, Dan Liu, Qisong Wang, Boqi Zhao, Ou Bai, Jinwei Sun
Summary: This study proposes a gait pattern classification method based on multisensor to prevent falling in daily life. By analyzing and processing the data collected by the sensor, the current gait is determined and different gait patterns that are likely to lead to falling are distinguished. In order to compensate for insufficient data and address the issue of misclassification, pressure signals are integrated with acceleration signals. The effectiveness and accuracy of the proposed method are validated experimentally, and its potential application in health monitoring systems is demonstrated.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Physics, Fluids & Plasmas
Jiao Zhang, Weiwei Tang, Yanhui Wang, Dezhen Wang
Summary: Static and dynamic self-organized patterns were observed in dielectric barrier discharge through numerical simulation. The static pattern consists of regularly distributed standing discharge channels/filaments, and its morphology depends significantly on discharge parameters such as electrode size and voltage. The interaction between the filaments is proved to be electrostatic repulsion. The introduction of an external flow field breaks the stability of the pattern, resulting in the formation of a quasi-static pattern with a displaced filament or a dynamic pattern with directional moving filaments. The motion of the filaments is believed to be caused by the thrust from the flow, which can also be explained at the microscopic level by the transfer of momentum from neutral background atoms to species through collision. Moreover, the filaments may exhibit particle-like behaviors such as collision, vanishment, and generation under the influence of the flow.
PLASMA SOURCES SCIENCE & TECHNOLOGY
(2023)
Article
Engineering, Multidisciplinary
Yuang Wang, Xuezhen Cheng, Jiming Li
Summary: This study analysed the sensitivity deficiencies of a single electrode and designed a more sensitive electrostatic sensor array structure to accurately identify gas-solid two-phase flow patterns. The experimental results show that the proposed algorithm outperforms traditional methods in terms of identification accuracy.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2023)
Article
Materials Science, Multidisciplinary
Reliance Jain, Priyanka Umre, Rama Krushna Sabat, Vinod Kumar, Sumanta Samal
Summary: In this study, the hot deformation behavior of the CoFeMnNiTi eutectic high-entropy alloy was predicted using the Arrhenius-type constitutive equation and artificial neural network (ANN) model. The performance of both models was compared using correlation coefficient (R) and average absolute relative error (AARE), and the ANN model outperformed the Arrhenius type model in predicting flow behavior. The rate of softening and mean free path value were also evaluated to understand the deformation mechanism under different thermomechanical conditions.
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
(2022)
Article
Engineering, Electrical & Electronic
Yongji Sun, Xuezhen Cheng, Jiming Li
Summary: To improve the uniformity of the sensitivity matrix in a ring electrostatic sensor array, a ring-rod electrostatic array sensor is proposed. The influence of the number of ring-rod electrodes on the average and uniformity error of sensitivity is analyzed. The performance of the ring-rod array and ring array in gas-solid flow detection is studied, and an experimental platform is used to evaluate their performance.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Biomedical
Fahui Miao, Li Yao, Xiaojie Zhao
Summary: Sleep data often have class imbalance, affecting the accuracy of minority class classification. To address this issue, a multi-view CNN model based on adaptive margin-aware loss is proposed to improve the overfitting of minority classes.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Automation & Control Systems
Kaixun He, Maiying Zhong, Jingzhong Fang, Yiran Li
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2020)
Article
Automation & Control Systems
Rongrong Sun, Youqing Wang, Zonglei Mou, Kaixun He
Summary: This study proposes a robust multiblock global orthogonal projections to latent structures (MBGOPLS) method for intelligently diagnosing faults in thermal power plants. The method achieves robustness to outliers while retaining diagnostic properties through double hierarchical clustering and optimization of the block regression coefficient matrix.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Mechanical
Budi Rochmanto, Hari Setiapraja, Ihwan Haryono, Siti Yubaidah
Summary: This study calibrates a turbine flowmeter for compressed natural gas (CNG) application by using air as a substitute and simulating the kinematic viscosity property of CNG. The research shows that by using air instead of CNG, the flowmeter can achieve accurate measurements with a measurement uncertainty of less than 1%.
FLOW MEASUREMENT AND INSTRUMENTATION
(2024)
Article
Engineering, Mechanical
Mona Mary Varghese, Chaithanya P. Devan, Samiksha M. Masram, Teja Reddy Vakamalla
Summary: This work investigated the influence of particle shape on fluidization behavior at different inlet superficial gas velocities. The experiments were conducted using a laboratory-scale 3D circular fluidized bed column with Geldart D particles of various shapes. The results showed that non-spherical particles had lower minimum fluidization velocities and higher bed expansion compared to spherical particles. Particle shape significantly affected solids holdup, with spherical particles exhibiting higher solids holdup at the same superficial velocity. Frequency domain analysis of pressure signals using Fast Fourier Transform (FFT) and Power Spectral Density (PSD) revealed flow regime transitions associated with changes in particle shape.
FLOW MEASUREMENT AND INSTRUMENTATION
(2024)
Article
Engineering, Mechanical
Ruiming Yu, Yunyan Ma, Kuaile Liu, Xiangyu Liu
Summary: A single-seat control valve with stable flow regulation is researched and designed to address technical problems such as unstable flow at small openings and uneven force on the valve core. The mechanical and flow characteristics, as well as thermal stress, are analyzed through simulations and tests. The results show that the designed valve meets the requirements.
FLOW MEASUREMENT AND INSTRUMENTATION
(2024)
Article
Engineering, Mechanical
Alcemir Costa de Souza, Ewerton Emmanuel da Silva Calixto, Fernando Luiz Pellegrini Pessoa, Valeria L. da Sila, Luiz Octavio Vieira Pereira
Summary: This study proposes a simple CO2 meter for accurately measuring the CO2 content in Brazilian pre-salt production flows. By analyzing the pressure change during a heating assay of an imprisoned sample, the proposed meter is capable of identifying the mixture properties under different CO2 levels.
FLOW MEASUREMENT AND INSTRUMENTATION
(2024)
Article
Engineering, Mechanical
Mehdi Asadi, S. Abbas Hosseini, Kaveh Ahangari
Summary: Due to technical issues with bottom intake racks, porous intakes made of rock, gravel, or sand can be a viable alternative. This study used an experimental model to assess the performance of porous bottom intakes (PBI) and examined the impacts of various parameters such as channel slope, grain size distribution of the porous media, intake structure geometry, and water depth in the channel on diverted flow rates during sediment-free flow. The study also compared the performance of one-sided and three-sided PBI models under the same conditions. The findings suggest that a slope of 1% yields higher discharge coefficient and diverted flow compared to a slope of 1.68%, and three-sided PBI models outperform one-sided models in terms of flow rate. A formula utilizing nonlinear multivariate regression, experimental data, and dimensional analysis was proposed for calculating the discharge coefficient of PBI, with a high accuracy rate of over 95%.
FLOW MEASUREMENT AND INSTRUMENTATION
(2024)