Article
Chemistry, Analytical
Geon-Ho Shin, Jang-Wook Hur
Summary: This paper proposes a practical way to optimize the installation location and number of vibration sensors for more efficient fault diagnosis. Through finite element analysis and the application of correlation coefficients, the candidate points are reduced to a smaller number, making it applicable to large-scale or complicated structures.
Article
Engineering, Multidisciplinary
Chen Yang, Yuanqing Xia
Summary: A load-dependent sensor placement method based on the estimated error and redundancy elimination model was proposed for on-orbit modal identification. The method aims to overcome the issues of dense sensor distribution and interference caused by load placement by optimizing the matching level and designing a redundancy elimination strategy.
Review
Mechanics
Rims Janeliukstis, Xiao Chen
Summary: This study reviews the recent progress in the application of digital image correlation (DIC) to testing composite structures with an order of size magnitude of meters, focusing on the experimental setup requirements, measurement capabilities, and associated challenges. Typical applications include displacement and strain measurements in the wind energy and aerospace sectors, as well as operational modal analysis in dynamic structural tests.
COMPOSITE STRUCTURES
(2021)
Article
Engineering, Civil
Weihua Ou, Jiaxin Deng, Lei Zhang, Jianping Gou, Quan Zhou
Summary: This paper proposes a novel approach for cross-modal retrieval, which uses transformer to extract position information and utilizes GAN to enhance information interaction between modalities. Experimental results show that the proposed method achieves competitive performance on widely used text-image modal datasets.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Semih Gonen, Kultigin Demirlioglu, Emrah Erduran
Summary: This research presents a new framework for determining the optimal sensor locations to identify the modal properties of bridges under modeling uncertainties. The framework includes finite element model generation, sensitivity study, and Monte Carlo simulations to quantify the relative amount of information at candidate sensor locations. Hierarchical clustering algorithm is used to obtain the optimal sensor locations and the number of sensors, and the OSP analysis is carried out using the Effective Independence method.
ENGINEERING STRUCTURES
(2023)
Article
Computer Science, Interdisciplinary Applications
Shuo Wang, Xiaonan Lai, Xiwang He, Kunpeng Li, Liye Lv, Xueguan Song
Summary: This paper proposes an optimal sensor placement algorithm based on mutual information and correlation, which is particularly suitable for solving sensor placement problems in digital twins. The proposed method takes advantage of the two data types, sensor data and simulation data, to select sensor locations by maximizing the mutual information. The correlation between the sensor data and simulation data is characterized by a covariance matrix and used in the determination of mutual information. The results show that the proposed method exhibits excellent performance in terms of reconstruction accuracy.
ENGINEERING WITH COMPUTERS
(2023)
Article
Engineering, Aerospace
A. Pagani, R. Azzara, E. Carrera, E. Zappino
Summary: This research presents important results from a test campaign on the Dardo Aspect, emphasizing the reliability of innovative techniques while acknowledging potential calibration and testing preparation issues. These methods, although not suitable for certification purposes, offer significant time and cost benefits.
AEROSPACE SCIENCE AND TECHNOLOGY
(2021)
Article
Acoustics
Gerwin Pasch, Stefan Wischmann, Pascal Drichel, Georg Jacobs, Joerg Berroth
Summary: Modal testing is a method used to experimentally determine the dynamic behavior of mechanical structures. This paper presents a method for driving point identification with multiple driving points, along with a criterion that considers the excitability of modes, risks of double hits, and the excitation orientation. The method enables accurate evaluation of excitation quality and determination of the optimum set of driving points.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Engineering, Civil
Xianghao Meng, Haoyu Zhang, Kailiang Jia, Hui Li, Yong Huang
Summary: In the field of structural health monitoring of large-scale structures, the optimal placement of vibration sensors is crucial due to their expensive cost, data transmission and storage burden. A vibration sensor placement algorithm based on deep reinforcement learning (DRL) is proposed to solve the complex optimization problems associated with sensor deployment. By constructing an objective function based on the modal assurance criterion (MAC), the optimal placement of vibration sensors can be determined using the DRL-based algorithm. The proposed method is compared with genetic algorithm and particle swarm algorithm, and demonstrates superior performance in solving the discrete combinatorial optimization problem of vibration sensor placement.
SMART STRUCTURES AND SYSTEMS
(2023)
Article
Engineering, Civil
Fuhao Peng, Tianci Li, Kaiping Yu, Yibo Wang, Lihao Zhang, Guoqing Jiang, Rui Zhao
Summary: The active imaging blue light high-speed three-dimensional digital image correlation (3D-DIC) system was combined with a transient aerodynamic heating system and random pulse excitation technology to establish a high-frequency thermal vibration optical test system capable of multi-temperature zone testing at 900 degrees C. The system accurately obtained the thermal modal parameters of thin-walled structures and simulated the full-field temperature distribution of a novel honeycomb thin-walled composite structure (HTWCS) with pit defects under non-uniform temperature.
THIN-WALLED STRUCTURES
(2023)
Article
Engineering, Mechanical
Andre Jesus, Stana Zivanovic
Summary: A novel approach using a dynamic excitation induced by a human walker is proposed to identify modal properties, including natural frequencies, damping ratios, and modal masses. The method is further expanded to estimate vibration mode shapes, providing a complete characterization of a structure's dynamic behavior in a simple and cost-effective manner. Parametric analysis and validation against simulated and real-world data of a footbridge demonstrate that it is possible to reliably estimate all modal properties of a structure with a reasonable initial estimate and careful consideration of measured responses, offering a simpler alternative to traditional modal testing methods such as impact hammer, shaker, or ambient vibration tests.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Onat Gungor, Tajana S. Rosing, Baris Aksanli
Summary: This paper proposes a new approach for sensor placement in wireless sensor networks that takes into account the robustness of the system. Experimental results show that this method is more effective than existing approaches. The paper further improves the method by considering distance uncertainty, leading to an increased probability of target detection.
IEEE SENSORS JOURNAL
(2022)
Article
Construction & Building Technology
Ka-Veng Yuen, Xiao-Han Hao, Sin-Chi Kuok
Summary: In this paper, a robust sensor placement methodology considering sensor failure is proposed, which introduces the concept of robust information entropy and a tailor-made heuristic sequential search algorithm to enhance efficiency. The designed robust sensor configuration is illustrated through designing sensors for a 20-story shear building and a space truss, and validated using a case study of the Canton Tower's in-field measurements.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Computer Science, Artificial Intelligence
Lei Zhu, Xize Wu, Jingjing Li, Zheng Zhang, Weili Guan, Heng Tao Shen
Summary: This paper proposes an unsupervised cross-modal hashing method for large-scale cross-modal retrieval. By modeling and preserving the multi-modal correlation semantics into hash codes and functions, and involving identity semantics, the proposed method achieves superior performance in retrieval accuracy and efficiency.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Chemistry, Physical
Peter Frankovsky, Ingrid Delyova, Peter Sivak, Jozef Bocko, Jozef Zivcak, Michal Kicko
Summary: This paper discusses a new approach for experimentally determining modal parameters using the non-contact optical method of digital image correlation. The approach utilizes a newly developed application module that can construct a frequency response function based on measured displacement values, allowing for the determination of modal parameters. The module has been designed for practical use in Scilab 6.1.0 and interfaces directly with the ISTRA4D high-speed camera software. The accuracy of the computational algorithm and obtained modal parameters were verified through simulation in Abaqus, showing high agreement with the results of the application.
Article
Engineering, Mechanical
Xuanen Kan, Yanjun Lu, Fan Zhang, Weipeng Hu
Summary: A blade disk system is crucial for the energy conversion efficiency of turbomachinery, but differences between blades can result in localized vibration. This study develops an approximate symplectic method to simulate vibration localization in a mistuned bladed disk system and reveals the influences of initial positive pressure, contact angle, and surface roughness on the strength of vibration localization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zimeng Liu, Cheng Chang, Haodong Hu, Hui Ma, Kaigang Yuan, Xin Li, Xiaojian Zhao, Zhike Peng
Summary: Considering the calculation efficiency and accuracy of meshing characteristics of gear pair with tooth root crack fault, a parametric model of cracked spur gear is established by simplifying the crack propagation path. The LTCA method is used to calculate the time-varying meshing stiffness and transmission error, and the results are verified by finite element method. The study also proposes a crack area share index to measure the degree of crack fault and determines the application range of simplified crack propagation path.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Rongjian Sun, Conggan Ma, Nic Zhang, Chuyo Kaku, Yu Zhang, Qirui Hou
Summary: This paper proposes a novel forward calculation method (FCM) for calculating anisotropic material parameters (AMPs) of the motor stator assembly, considering structural discontinuities and composite material properties. The method is based on multi-scale theory and decouples the multi-scale equations to describe the equivalence and equivalence preconditions of AMPs of two scale models. The effectiveness of this method is verified by modal experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Zhang, Jiangcen Ke
Summary: This research introduces an intelligent scheduling system framework to optimize the ship lock schedule of the Three Gorges Hub. By analyzing navigational rules, operational characteristics, and existing problems, a mixed-integer nonlinear programming model is formulated with multiple objectives and constraints, and a hybrid intelligent algorithm is constructed for optimization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Jingjing He, Xizhong Wu, Xuefei Guan
Summary: A sensitivity and reliability enhanced ultrasonic method has been developed in this study to monitor and predict stress loss in pre-stressed multi-layer structures. The method leverages the potential breathing effect of porous cushion materials in the structures to increase the sensitivity of the signal feature to stress loss. Experimental investigations show that the proposed method offers improved accuracy, reliability, and sensitivity to stress change.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Benyamin Hosseiny, Jalal Amini, Hossein Aghababaei
Summary: This paper presents a method for monitoring sub-second or sub-minute displacements using GBSAR signals, which employs spectral estimation to achieve multi-dimensional target detection. It improves the processing of MIMO radar data and enables high-resolution fast displacement monitoring from GBSAR signals.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xianze Li, Hao Su, Ling Xiang, Qingtao Yao, Aijun Hu
Summary: This paper proposes a novel method for bearing fault identification, which can accurately identify faults with few samples under complex working conditions. The method is based on a Transformer meta-learning model, and the final result is determined by the weighted voting of multiple models.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaomeng Li, Yi Wang, Guangyao Zhang, Baoping Tang, Yi Qin
Summary: Inspired by chaos fractal theory and slowly varying damage dynamics theory, this paper proposes a new health monitoring indicator for vibration signals of rotating machinery, which can effectively monitor the mechanical condition under both cyclo-stationary and variable operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Wang, Songye Zhu
Summary: This paper extends the latching mechanism to vibration control to improve energy dissipation efficiency. An innovative semi-active latched mass damper (LMD) is proposed, and different latching control strategies are tested and evaluated. The latching control can optimize the phase lag between control force and structural response, and provide an innovative solution to improve damper effectiveness and develop adaptive semi-active dampers.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Menghao Ping, Xinyu Jia, Costas Papadimitriou, Xu Han, Chao Jiang, Wang-Ji Yan
Summary: Identification of non-Gaussian processes is a challenging task in engineering problems. This article presents an improved orthogonal series expansion method to convert the identification of non-Gaussian processes into a finite number of non-Gaussian coefficients. The uncertainty of these coefficients is quantified using polynomial chaos expansion. The proposed method is applicable to both stationary and nonstationary non-Gaussian processes and has been validated through simulated data and real-world applications.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Lei Li, Wei Yang, Dongfa Li, Jianxin Han, Wenming Zhang
Summary: The frequency locking phenomenon induced by modal coupling can effectively overcome the dependence of peak frequency on driving strength in nonlinear resonant systems and improve the stability of peak frequency. This study proposes the double frequencies locking phenomenon in a three degrees of freedom (3-DOF) magnetic coupled resonant system driven by piezoelectricity. Experimental and theoretical investigations confirm the occurrence of first frequency locking and the subsequent switching to second frequency locking with the increase of driving force. Furthermore, a mass sensing scheme for double analytes is proposed based on the double frequencies locking phenomenon.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Kai Ma, Jingtao Du, Yang Liu, Ximing Chen
Summary: This study explores the feasibility of using nonlinear energy sinks (NES) as replacements for traditional linear tuned mass dampers (TMD) in practical engineering applications, specifically in diesel engine crankshafts. The results show that NES provides better vibration attenuation for the crankshaft compared to TMD under different operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Wentao Xu, Li Cheng, Shuaihao Lei, Lei Yu, Weixuan Jiao
Summary: In this study, a high-precision hydraulic mechanical stand and a vertical mixed-flow pumping station device were used to conduct research on cavitation signals of mixed-flow pumps. By analyzing the water pressure pulsation signal, it was found that the power spectrum density method is more sensitive and capable of extracting characteristics compared to traditional time-frequency domain analysis. This has significant implications for the identification and prevention of cavitation in mixed-flow pump machinery.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaodong Chen, Kang Tai, Huifeng Tan, Zhimin Xie
Summary: This paper addresses the issue of parasitic motion in microgripper jaws and its impact on clamping accuracy, and proposes a symmetrically stressed parallelogram mechanism as a solution. Through mechanical modeling and experimental validation, the effectiveness of this method is demonstrated.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zhifeng Shi, Gang Zhang, Jing Liu, Xinbin Li, Yajun Xu, Changfeng Yan
Summary: This study provides useful guidance for early bearing fault detection and diagnosis by investigating the effects of crack inclination and propagation direction on the vibration characteristics of bearings.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)