Article
Engineering, Electrical & Electronic
Erhang Li, Wenpei He, Huilong Yu, Junqiang Xi
Summary: This paper presents a novel model-based road grade estimation approach, which has been verified to have good accuracy and precision through experiments.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Mechanical
Jia Ye, Zhifei Zhang, Jie Jin, Ruiqi Su, Bo Huang
Summary: The tire-road friction coefficient is crucial for vehicle safety systems. Existing methods have limited accuracy, while the proposed estimation method improves accuracy by adaptively adjusting tire stiffness and accurately identifies tire damage.
NONLINEAR DYNAMICS
(2023)
Article
Engineering, Civil
Mohammad R. Hajidavalloo, Zhaojian Li, Xin Xia, Ali Louati, Minghui Zheng, Weichao Zhuang
Summary: This paper presents a novel cloud-assisted collaborative estimation framework that utilizes multiple heterogeneous vehicles to enhance road information estimation. Each vehicle combines onboard measurements with cloud-based pseudo-measurements to optimize estimation. Experimental results show that this collaborative estimation approach significantly improves performance and iteratively enhances estimation from vehicle to vehicle.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Qing Zeng, Xiaoyang Hu, Xiaodong Shi, Yiting Ren, Yuan Li, Zhongdong Duan
Summary: This study proposes a Kalman Filter-based scheme to indirectly evaluate road roughness using measurements of tire pressure. The scheme uses Extended Kalman Filter to calibrate parameters and solves unknowns in the vehicle's state-space equation using Discrete Kalman Filter. The results demonstrate the reliability of the proposed scheme and reveal the potential for better estimation of road roughness at lower running speeds.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2022)
Article
Automation & Control Systems
Alexander Kobelski, Pavel Osinenko, Stefan Streif
Summary: Traction parameters play a central role in vehicle energy efficiency, but are difficult and costly to measure. System identification can be used to determine these parameters, and this study validates the method in field experiments for optimization of traction.
CONTROL ENGINEERING PRACTICE
(2021)
Article
Construction & Building Technology
Seungin Oh, Hanmin Lee, Jai-Kyung Lee, Hyungchul Yoon, Jin-Gyun Kim
Summary: Virtual sensing is an effective method to identify inaccessible state of structural systems by compensating limitations of conventional physical sensing techniques. This study aimed to develop a virtual sensing algorithm for real-time identification of unmeasured information of structural vibration. The proposed method utilizes physical sensors and numerical models to extend the measured data sets and synchronizes them using inverse dynamics, achieving accurate identification of unmeasured information in real time. The algorithm has been tested on both numerical and experimental setups with promising results, demonstrating its ability to accurately identify unmeasured information under limited computing environments. Overall, the virtual sensing algorithm shows great potential in various engineering fields.
STRUCTURAL CONTROL & HEALTH MONITORING
(2023)
Article
Energy & Fuels
Himadri Sekhar Bhattacharyya, Amalendu Bikash Choudhury, Chandan Kumar Chanda
Summary: This paper focuses on the battery management system (BMS) and the calculation of state of charge (SOC) in lithium-ion batteries. By using the electrical equivalent circuit model (EECM) and algorithms such as extended Kalman filter (EKF) and dual extended Kalman filter (DEKF), a fairly accurate estimate of SOC can be obtained. The impact of voltage and current sensor bias on SOC is also investigated, and the effectiveness of the algorithms is validated under different conditions.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Engineering, Civil
Huan Gao, Zhaojian Li, Yongqiang Wang
Summary: Road information is crucial for improving road safety, ride comfort, and fuel economy in intelligent vehicle systems. However, practical challenges such as vehicle heterogeneity, parameter uncertainty, and measurement reliability make it difficult for a single vehicle to accurately estimate this information. To overcome these limitations, we propose a new learning-based collaborative estimation approach by incorporating information from a fleet of networked vehicles.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Marine
Wenhao Xu, Jianmin Yang, Handi Wei, Jinghang Mao, Haining Lu, Xin Li
Summary: A localization algorithm named 'ESKF-slip' was developed and validated for deep-sea mining vehicles in this study. A localization system was established based on the algorithm for a newly designed deep-sea mining vehicle named Pioneer 1. Sea trials in the South China Sea demonstrated the feasibility and applicability of the proposed algorithm in obtaining accurate localization results for the deep-sea mining vehicle.
Article
Automation & Control Systems
Jaroslav Tabacek, Vladimir Havlena
Summary: This paper proposes solutions to reduce the inaccuracy of distributed state estimation and performance deterioration of distributed model predictive control caused by faults and inaccurate models. The proposed method includes a distributed state estimation method for large-scale systems that considers the uncertainty of neighbor estimates to improve accuracy. It also incorporates the uncertainty of model parameters and extends to multiple models for creating a distributed fault detection and diagnosis method.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Engineering, Civil
Philipp M. Sieberg, Sebastian Blume, Sebastian Reicherts, Niko Maas, Dieter Schramm
Summary: A novel hybrid estimation method is proposed to enhance the reliability of artificial neural networks by combining a simple model based on physical knowledge with the neural network model. Confidence level is used to determine the trustworthiness of each model and adjust the covariances of the unscented Kalman filter, thereby improving the estimation reliability and quality.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Chemistry, Analytical
Wenfei Li, Huiyun Li, Kun Xu, Zhejun Huang, Ke Li, Haiping Du
Summary: This paper presents a new method for estimating vehicle dynamic parameters using a two-stage estimation method including multiple-models and the Unscented Kalman Filter. Simulation results show that the proposed method is effective and can well estimate vehicle dynamic parameters.
Article
Electrochemistry
Michael Theiler, Dominik Schneider, Christian Endisch
Summary: In order to ensure the reliable and safe operation of battery systems in various applications, it is necessary to observe the system's internal states accurately. The Kalman filter is commonly used to estimate the states and model parameters of a lithium-ion cell. This study introduces a traceable procedure based on the genetic algorithm to determine the process noise offline, considering estimation error and filter consistency.
Article
Engineering, Marine
Fei Deng, Carlos Levi, Hongdong Yin, Menglan Duan
Summary: The study proposes an optimized UKF algorithm to improve the estimation precision of hydrodynamic coefficients for an AUV, in combination with three KF algorithms for verification. The research enhances the adaptability and prediction performance of the identification approach and demonstrates the superior accuracy of OUKF compared to EKF and UKF in the presence of ARMA noisy model.
Article
Mechanics
Elvis Villano, Basilio Lenzo, Aleksandr Sakhnevych
Summary: A novel method for estimating vehicle sideslip angle is proposed in this paper, utilizing a combination of kinematic and dynamic approaches with cross-feedback, and validated on experimental data obtained from different race tracks. The method shows promising results in improving both sideslip angle estimation accuracy and vehicle longitudinal velocity estimation compared to current state-of-the-art techniques.
Article
Engineering, Civil
Tomoaki Takeda, Tsukasa Mizutani, Tomonori Nagayama, Yozo Fujino
JOURNAL OF BRIDGE ENGINEERING
(2019)
Article
Construction & Building Technology
Shohel Rana, Tomonori Nagayama, Kazumasa Hisazumi, Tomonori Tominaga
STRUCTURAL CONTROL & HEALTH MONITORING
(2019)
Article
Acoustics
Haoqi Wang, Jun Chen, Tomonori Nagayama
JOURNAL OF SOUND AND VIBRATION
(2019)
Review
Engineering, Multidisciplinary
Yozo Fujino, Dionysius M. Siringoringo, Yoshiki Ikeda, Tomonori Nagayama, Tsukasa Mizutani
Article
Construction & Building Technology
Muge Kuleli, Tomonori Nagayama
STRUCTURAL CONTROL & HEALTH MONITORING
(2020)
Article
Engineering, Mechanical
Kai Xue, Tomonori Nagayama, Boyu Zhao
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2020)
Article
Acoustics
Yaohua Yang, Tomonori Nagayama, Kai Xue
JOURNAL OF SOUND AND VIBRATION
(2020)
Article
Engineering, Multidisciplinary
Yuequan Bao, Jian Li, Tomonori Nagayama, Yang Xu, Billie F. Spencer, Hui Li
Summary: The 1st International Project Competition for Structural Health Monitoring (IPC-SHM, 2020) was initiated in 2020 to promote the development of structural health monitoring worldwide. Three competition projects were set up focusing on various aspects of structural health monitoring. A total of 330 participants from 70 universities and institutions took part in the competition.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Geochemistry & Geophysics
Takahiro Yamaguchi, Tsukasa Mizutani, Tomonori Nagayama
Summary: This article introduces a novel algorithm that combines 3-D convolutional neural network (3-D-CNN) and Kirchhoff migration for subsurface utility pipe detection using ground-penetrating radar (CPR). The developed model achieved a classification accuracy of about 91%, accurately estimating the pipes' existences and directions. The algorithm provides a clear understanding of pipes' 3-D positions and arrangement with reasonable calculation time based on experimental field data.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Construction & Building Technology
Haoqi Wang, Tomonori Nagayama, Di Su
Summary: This paper presents a method using an extended Kalman filter to identify vehicle static and dynamic load from accelerometer responses, eliminating the need for other devices to obtain low-frequency components and solving the nonlinear problem caused by vehicle transverse position.
STRUCTURAL CONTROL & HEALTH MONITORING
(2021)
Article
Engineering, Civil
Haoqi Wang, Tomonori Nagayama
Summary: The study proposes a response spectrum model to predict bridge vibration induced by passing vehicles, which has been validated through field tests. Vehicle-induced vibration affects bridge safety and pedestrian comfort, requiring the introduction of accurate prediction methods in the design stage.
ENGINEERING STRUCTURES
(2022)
Article
Engineering, Civil
Yaohua Yang, Tomonori Nagayama, Kai Xue, Di Su
Summary: This paper proposes a displacement estimation method for a nonlinear SDOF system based on the extended Kalman filter. The method identifies time intervals of significant nonlinearity and uses acceleration, displacement, and residual displacement as observations for estimation. Numerical studies and experimental validations show that the proposed method can accurately estimate displacements.
ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING
(2022)
Proceedings Paper
Construction & Building Technology
T. Nagayama, S. Kato, D. Su, H. Wang
Summary: This study proposes a Bridge Weigh-In-Motion (BWIM) system based on wireless accelerometers without the need for strain gauge installation. It continuously measures the acceleration responses of a steel box girder bridge to estimate vehicular weight and load distribution.
BRIDGE MAINTENANCE, SAFETY, MANAGEMENT, LIFE-CYCLE SUSTAINABILITY AND INNOVATIONS
(2021)
Proceedings Paper
Acoustics
Takaya Kawakatsu, Kenro Aihara, Atsuhiro Takasu, Jun Adachi, Haoqi Wang, Tomonori Nagayama
Summary: This paper introduces a new approach for Bridge Weigh-In-Motion (BWIM) utilizing deep neural networks and accelerometers to estimate axle loads on bridges more affordably compared to traditional strain sensor systems. By analyzing acceleration signals, this model successfully estimates axle loads in a real bridge setting.
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)
(2021)
Article
Engineering, Civil
Jothi Saravanan Thiyagarajan, Di Su, Hirofumi Tanaka, Boyu Zhao, Tomonori Nagayama
Summary: Condition monitoring of railway tracks is crucial for ensuring the running safety of railways. This study evaluates track profiles through numerical analyses and field experiments, demonstrating the capability of track profile estimation using on-board sensing devices such as smartphones.
SMART STRUCTURES AND SYSTEMS
(2021)
Article
Acoustics
Sandip Chajjed, Mohammad Khalil, Dominique Poirel, Chris Pettit, Abhijit Sarkar
Summary: This paper reports the generalization of the Bayesian formulation of the flutter margin method, which improves the predictive performance by incorporating the joint prior of aeroelastic modal parameters. The improved algorithm reduces uncertainties in predicting flutter speed and can cut cost by reducing the number of flight tests.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Pascal Zeise, Bernhard Schweizer
Summary: Air ring bearings are an improved version of classical air bearings, providing better damping behavior and allowing operation above the linear threshold speed of instability. However, there is a risk of dangerous vibrations in certain rotor systems, which can be addressed by considering ring tilting effects.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Zbynek Sika, Jan Krivosej, Tomas Vyhlidal
Summary: This paper presents a novel design of a compact six degrees of freedom active vibration absorber with six identical eigenfrequencies. The objective is to completely suppress the vibration of a machine structure with six motion components. By utilizing a Stewart platform structure equipped with six active legs, a spatial unifrequency absorber with six identical eigenfrequencies is achieved. The design is optimized using a correction feedback and active delayed resonator feedback.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Kai Li, Yufeng Liu, Yuntong Dai, Yong Yu
Summary: This paper presents a novel light-powered self-oscillating liquid crystal elastomer (LCE) bow that can self-oscillate continuously and periodically under steady illumination. The dynamics of the LCE bow are theoretically investigated and numerical calculations predict its motion regimes. The suggested LCE bow offers potential advantages in terms of simple structure, customizable size, flexible regulation, and easy assembly.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Carmelo Rosario Vindigni, Giuseppe Mantegna, Calogero Orlando, Andrea Alaimo
Summary: In this study, a simple adaptive flutter suppression system is designed to increase the operative speed range of a wing-aileron aeroelastic plant. The system achieves almost strictly passivity by using a parallel feed-forward compensator implementation and the controller parameters are optimized using a population decline swarm optimization algorithm. Numerical simulations prove the effectiveness of the proposed simple adaptive flutter suppression architecture in different flight scenarios.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Nicco Ulbricht, Alain Boldini, Peng Zhang, Maurizio Porfiri
Summary: The quantification of fluid-structure interactions in marine structures is crucial for their design and optimization. In this study, an analytical solution for the free vibration of a bidirectional composite in contact with a fluid is proposed. By imposing continuity conditions and boundary conditions, the coupled fluid-structure problem is solved and applied to sandwich structures in naval construction, offering insights into the effects of water on mode shapes and through-the-thickness profiles of displacement and stress.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Shahram Hadian Jazi, Mostafa Hadian, Keivan Torabi
Summary: Non-uniformity and damage are the main focus in studying vibrations of beam elements. An exact closed-form explicit solution for the transverse displacement of a nonuniform multi-cracked beam is introduced using generalized functions and distributional derivative concepts. By introducing non-dimensional parameters, the motion equation and its closed-form solution are obtained based on four fundamental functions. The impact of crack count, location, intensity, and boundary conditions on natural frequency and mode shape is evaluated through numerical study.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Eugenio Tramacere, Marius Pakstys, Renato Galluzzi, Nicola Amati, Andrea Tonoli, Torbjoern A. Lembke
Summary: This paper proposes the experimental stabilization of electrodynamic maglev systems by means of passive components, providing key technological support for the Hyperloop concept of high-speed and sustainable transportation.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Pengfei Deng, Xing Tan, He Li
Summary: In this paper, the authors improve the surface morphology method and study the bit-rock interaction model between the rock and the PDC bit, taking into account the impact of blade shape and cutter arrangement. They establish a dynamic model for a deep drilling system equipped with an arbitrary shape PDC bit and propose a stability prediction method. The results show that the shape of the blades and arrangement of the cutters on the PDC bit significantly affect the nonlinear vibration of the drilling system.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Salvador Rodriguez-Blanco, Javier Gonzalez-Monge, Carlos Martel
Summary: In modern LPT designs, the simultaneous presence of forced response and flutter in different operation regimes is unavoidable. Recent evidence suggests that the traditional linear superposition method may be overly conservative. This study examines the flutter and forced response interaction in a realistic low pressure turbine rotor and confirms that the actual response is much smaller than that predicted by linear superposition.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Kabilan Baskaran, Nur Syafiqah Jamaluddin, Alper Celik, Djamel Rezgui, Mahdi Azarpeyvand
Summary: This study investigates the impact of the number of blades on the aeroacoustic characteristics and aerodynamic performance of propellers used in urban air mobility vehicles. The results show that different blade numbers exhibit distinct noise levels, providing valuable insights for further research on propeller noise and aerodynamic performance.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Yongbo Peng, Peifang Sun
Summary: This study focuses on the reliability-based design optimization (RBDO) of the tuned mass-damper-inerter (TMDI) system under non-stationary excitations. The performance of the optimized TMDI system is evaluated using probability density evolution analysis. The results demonstrate the technical advantages of TMDI, including high vibration mitigation performance, considerable mass reduction, and less stroke demand.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Guanfu Lin, Zhong-Rong Lu, Jike Liu, Li Wang
Summary: Vision-based measurement is an emerging method that enables full-field measurement with non-contact and high spatial resolution capabilities. This paper presents a single-camera method for measuring out-of-plane vibration of plate structures using motion-parametric homography to capture image variation and displacement response.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Bronislaw Czaplewski, Mateusz Bocian, John H. G. Macdonald
Summary: Despite two decades of study, there is currently no model that can quantitatively explain pedestrian-generated lateral forces. This research proposes a foot placement control law based on empirical data to calibrate and generalize the rigid-leg inverted pendulum model (IPM) for predicting lateral structural stability.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Justine Carpentier, Jean-Hugh Thomas, Charles Pezerat
Summary: This paper proposes an improved method for the identification of vibration sources on a car window using the corrected force analysis technique. By redefining inverse methods in polar coordinates, more accurate results can be obtained.
JOURNAL OF SOUND AND VIBRATION
(2024)
