Article
Automation & Control Systems
Haidong Shao, Min Xia, Jiafu Wan, Clarence W. de Silva
Summary: In this article, a modified stacked autoencoder (MSAE) that uses adaptive Morlet wavelet is proposed for automatically diagnosing various fault types and severities of rotating machinery. Experimental results show that the proposed method is superior to other state-of-the-art methods.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Engineering, Mechanical
Shitong Fang, Shengxi Zhou, Daniil Yurchenko, Tao Yang, Wei-Hsin Liao
Summary: Multistability, the phenomenon of multiple coexistent stable states, has been found in various scientific areas and researchers have identified numerous benefits of it for a wide range of applications. The unique characteristics of multistability, such as rich potential structure and alleviation of input energy, may play different advantageous roles depending on their applications.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Mechanical
Zhijian Wang, Jie Zhou, Wenhua Du, Yaguo Lei, Junyuan Wang
Summary: In this study, a cyclic frequency set estimation method based on autocorrelation function of morphological envelope is proposed to address the issue of determining cyclic frequency in CYCBD. Additionally, a performance efficiency ratio index is introduced to balance the performance and time cost of CYCBD, followed by the use of an equal-step search strategy for adaptively selecting the filter length. The effectiveness of the proposed method is verified through simulation and experiment.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Computer Science, Interdisciplinary Applications
Amir Seyyedabbasi, Farzad Kiani
Summary: The study introduces a new metaheuristic algorithm, SCSO, which mimics the behavior of sand cats. The algorithm performs well in finding good solutions and outperforms compared methods in various test functions and engineering design problems.
ENGINEERING WITH COMPUTERS
(2023)
Review
Green & Sustainable Science & Technology
Zhonghe Ren, Fengzhou Fang, Ning Yan, You Wu
Summary: Machine vision plays a significant role in improving the efficiency and quality of defect detection, including optical illumination, image acquisition, image processing, and image analysis technologies. The future development of visual inspection technology will mainly focus on the application of deep learning.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2022)
Article
Thermodynamics
Dengyu Chen, Kehui Cen, Xiaozhuang Zhuang, Ziyu Gan, Jianbin Zhou, Yimeng Zhang, Hong Zhang
Summary: This study investigated the pyrolysis behavior and product of the three major components of biomass. The results showed that their characteristics and thermal stability were related to their unique chemical structures. Different volatiles were generated during pyrolysis, and the thermal decomposition pathways of cellulose, hemicellulose, and lignin were proposed.
COMBUSTION AND FLAME
(2022)
Article
Engineering, Mechanical
Rong-Biao Hao, Ze-Qi Lu, Hu Ding, Li-Qun Chen
Summary: This paper studies the nonlinear energy transfer of a flexible plate with a high-static-low-dynamic-stiffness isolator. The analytical results are validated through numerical methods and experiments, and it is shown that increasing damping and controlling HSLDS can improve low-frequency isolation efficiency.
NONLINEAR DYNAMICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Yingui Qiu, Jian Zhou, Manoj Khandelwal, Haitao Yang, Peixi Yang, Chuanqi Li
Summary: The accurate prediction of ground vibration caused by blasting is crucial in the mining industry. The use of advanced supervised machine learning with metaheuristic algorithms can significantly enhance the predictive reliability and accuracy, benefiting mine planners and engineers.
ENGINEERING WITH COMPUTERS
(2022)
Review
Thermodynamics
Rajesh Kumar, Angel Perez del Pino, Sumanta Sahoo, Rajesh Kumar Singh, Wai Kian Tan, Kamal K. Kar, Atsunori Matsuda, Ednan Joanni
Summary: This review summarizes recent studies on laser-assisted synthesis and modification of graphene-based materials, as well as their application as electrodes for supercapacitors and batteries. It provides an overview of the physical properties of graphene and different types of laser processing operations, with a detailed discussion on the practical uses of laser techniques for fabricating electrode materials.
PROGRESS IN ENERGY AND COMBUSTION SCIENCE
(2022)
Article
Engineering, Mechanical
Tian-Yu Zhou, Bo Tian, Yu-Qi Chen, Yuan Shen
Summary: This paper investigates a (2+1)-dimensional generalized Burgers system with variable coefficients in a fluid. It obtains the Painleve-integrable constraints of the system with respect to the variable coefficients. Based on truncated Painleve expansions, an auto-Backlund transformation is constructed, along with soliton solutions. Multiple kink solutions are derived using truncated Painleve expansions. Breather solutions, half-periodic kink solutions, and hybrid solutions composed of breathers and kink waves are obtained via complex-conjugate transformation.
NONLINEAR DYNAMICS
(2022)
Article
Engineering, Mechanical
Xinyu Gao, Jun Mou, Li Xiong, Yuwen Sha, Huizhen Yan, Yinghong Cao
Summary: This paper proposes a multiple-image encryption algorithm based on single-channel scrambling, diffusion, and chaotic system. The algorithm encrypts the image set by fusing and converting from the RGB channel to the HSV channel. For single-channel encryption, scrambling and diffusion operations are performed. The algorithm shows excellent encryption speed and security performance based on performance analysis.
NONLINEAR DYNAMICS
(2022)
Article
Engineering, Mechanical
Ziwei Zhang, Weiguo Huang, Yi Liao, Zeshu Song, Juanjuan Shi, Xingxing Jiang, Changqing Shen, Zhongkui Zhu
Summary: The study introduces a new non-convex penalty, the generalized logarithm (G-log) penalty, to enhance sparsity and reduce noise disturbance, thereby improving the accuracy of bearing fault diagnosis.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Computer Science, Interdisciplinary Applications
M. S. H. Al-Furjan, Mahmoud Fereidouni, Mostafa Habibi, Raneen Abd Ali, Jing Ni, Mehran Safarpour
Summary: This article focuses on the frequency analysis of an imperfect honeycomb core sandwich disk with multi-scale hybrid nanocomposite (MHC) face sheets. Parameters such as the thickness to length ratio of the honeycomb core, fiber angle, and applied load were investigated. The results provide insights into the behavior of the MHC and can be used as benchmark solutions for future research.
ENGINEERING WITH COMPUTERS
(2022)
Review
Engineering, Civil
Chengke Wu, Peng Wu, Jun Wang, Rui Jiang, Mengcheng Chen, Xiangyu Wang
Summary: This study provides a detailed investigation into current data-driven bridge O&M decision-making, including mainstream data types, data management issues, and typical application areas. Challenges to implementing data-driven bridge O&M decision-making are identified, such as the lack of standard data needs and integration.
STRUCTURE AND INFRASTRUCTURE ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Jiandong Huang, Yuantian Sun, Junfei Zhang
Summary: This research introduces a new model based on artificial intelligence for optimizing compressive strength in concrete samples. By using a human learning optimization algorithm and support vector regression models, the study successfully identified the polynomial model as the most accurate for predicting and optimizing concrete strength under different conditions.
ENGINEERING WITH COMPUTERS
(2022)
Article
Engineering, Mechanical
Yu-Hang Yin, Xing Lu, Wen-Xiu Ma
Summary: The paper investigates a (3+1)-dimensional nonlinear evolution equation to study features and properties of nonlinear dynamics in higher dimensions. By using the Hirota bilinear method, a bilinear Backlund transformation with six free parameters is constructed, resulting in multiple sets of solutions and new types of interaction solutions. The periodic interaction phenomenon is simulated by setting constraints to the new interaction solution expressed by polynomial-cos-cosh test function.
NONLINEAR DYNAMICS
(2022)
Article
Engineering, Mechanical
Tianfu Li, Zheng Zhou, Sinan Li, Chuang Sun, Rucliang Yan, Xuefeng Chen
Summary: Deep learning methods have advanced the field of Prognostics and Health Management, but handling irregular data in non-Euclidean space remains a challenge. Research has proposed a practical guideline for utilizing graph neural networks for intelligent fault diagnostics and prognostics, and established a framework based on GNN for this purpose.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Review
Thermodynamics
Li Chen, An He, Jianlin Zhao, Qinjun Kang, Zeng-Yao Li, Jan Carmeliet, Naoki Shikazono, Wen-Quan Tao
Summary: This review summarizes the recent advances and challenges in pore-scale modeling, discussing its practical applications in geoscience, polymer exchange membrane fuel cells, and solid oxide fuel cells. Notable results from pore-scale modeling are presented, while the challenges facing the development of pore-scale models are also discussed.
PROGRESS IN ENERGY AND COMBUSTION SCIENCE
(2022)
Article
Engineering, Mechanical
Shaowei Liu, Hongkai Jiang, Zhenghong Wu, Xingqiu Li
Summary: A novel data synthesis method called deep feature enhanced generative adversarial network is proposed in this paper to improve the performance of imbalanced fault diagnosis. By integrating a pull-away function, a self-attention module, and an automatic data filter, the quality of synthesized data is improved, the stability of generative adversarial networks is enhanced, and the accuracy and diversity of synthesized samples are timely ensured.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Computer Science, Interdisciplinary Applications
Cuong Le Thanh, Trong Nghia Nguyen, Truong Huu Vu, Samir Khatir, Magd Abdel Wahab
Summary: The static bending behavior of porous functionally graded micro-plates under geometrically nonlinear analysis is studied in this article. A small-scale nonlinear solution, higher-order plate theory, and isogeometric analysis are utilized to analyze the deflection of the plate, and the influence of parameters on the nonlinear behavior is investigated using numerical examples.
ENGINEERING WITH COMPUTERS
(2022)
