Article
Engineering, Mechanical
Lunan Wei, Jun Chen
Summary: This study investigates the use of defect resonance-based vibro-acoustic modulation (VAM) spectroscopy to maximize the nonlinear VAM response of carbon fiber reinforced polymer (CFRP) plates by determining the appropriate pumping and probing frequencies. The authors develop a 3D finite element (FE) model that accounts for barely visible impact damage (BVID) and ultrasonic signal loading, and use the scaling subtraction method (SSM) to identify the optimal frequencies for pumping and probing inputs. Experimental validation using a scanning laser Doppler vibrometer (SLDV) confirms the effectiveness of the proposed numerical methodology. The results demonstrate that selecting the pumping input frequency as the global plate resonance (GPRpump) and the probing input frequency as the local defect resonance (LDRprobe) can improve the maximum response amplitude (MRA) of the VAM sideband, leading to better detection of BVID.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Materials Science, Characterization & Testing
Bin Liu, Jun Yang, Guoqiang Zhang, Tie Gang
Summary: This study measured and analyzed the change of VAM results with varying sweep rate of the swept probing signal, revealing that the modulation intensity became inaccurate with larger sweep rates while the actual modulation changed slightly. It was found that the window length for short-time Fourier transform should be selected properly and became narrower as the sweep rate increased.
NDT & E INTERNATIONAL
(2021)
Article
Materials Science, Characterization & Testing
Jingjing Fan, Wenfei Chen, Dingyue Chen, Hu Chen, Lijia Luo, Shiyi Bao
Summary: Traditional vibro-acoustic modulation methods for bolt looseness detection using a single frequency probe wave have limitations in accuracy and frequency selection. To overcome these drawbacks, this paper proposes a frequency sweep probe wave method for bolt looseness detection. Experimental results demonstrate that this method is effective and sensitive for detecting bolt looseness.
NONDESTRUCTIVE TESTING AND EVALUATION
(2023)
Article
Engineering, Multidisciplinary
Andrzej Klepka, Kajetan Dziedziech, Jakub Mrowka, Jakub Gorski
Summary: This study focuses on investigating non-linear effects in vibro-acoustic modulation tests, analyzing the modulation type of response signals and the formation of sidebands due to interaction between low- and high-frequency excitation and damage surfaces. The results show that changes in excitation amplitude can alter the modulation type of the response signal.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Chemistry, Physical
Dariusz Broda, Krzysztof Mendrok, Vadim V. Silberschmidt, Lukasz Pieczonka, Wieslaw J. Staszewski
Summary: The nonlinear interaction between longitudinal vibration and ultrasound in beams with cracks is studied. The focus is on the localized enhancement effect of this interaction, known as locally enhanced nonlinear vibro-acoustic modulation. Numerical and experimental investigations are conducted, exploring different crack models and considering various parameters such as crack depths, locations, and boundary conditions. The study reveals that strong nonlinearities, indicating nonlinear crack-wave modulations, occur near the crack, allowing for crack localization and differentiation from other sources of nonlinearity.
Article
Chemistry, Multidisciplinary
Abdullah Alnutayfat, Alexander Sutin
Summary: This paper investigates the feasibility of using low-frequency blade rotation as a method to simulate blade vibrations and detect blade defects in wind turbines. By employing a mechanical oscillator model and signal processing algorithms, the modulation in wideband signals can be extracted to analyze and monitor the structural health of the blades. Experimental results demonstrate the viability of this method.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Mechanical
Miodrag Zukovic, Dzanko Hajradinovic, Ivana Kovacic
Summary: This paper provides the first analytical analyses of the regular behavior of a vibro-impact system with a non-ideal excitation system, gaining new insights into its dynamics. The study explores the appearance of impact and non-impact solutions, values of impact velocity, and their dependence on other system parameters. The stability issue is investigated, resulting in novel findings regarding impact velocity and associated steady-state response.
NONLINEAR DYNAMICS
(2021)
Article
Materials Science, Characterization & Testing
S. Yan, S. J. Cui, L. Wang, X. N. Wang, S. W. Yu
Summary: A study on the early microcrack monitoring of reinforced concrete structures was conducted using nonlinear vibro-acoustic modulation. The influence law between the excitation signal form and the nonlinear effect of sensing signals was investigated through finite element analysis and experimental validation. The mechanism of the nonlinearity in sensing signals coming from microcrack surface vibration collisions was found, providing a theoretical basis for vibration-based damage detection.
NONDESTRUCTIVE TESTING AND EVALUATION
(2023)
Article
Chemistry, Physical
Huai Zhao, Huajiang Ouyang, Haicheng Zhang
Summary: This study proposes a novel hybrid triboelectric-electromagnetic energy harvester and validates the accuracy of the theoretical model through experiments. The structural response and electrical output under different external excitations are theoretically investigated. It is found that the harvester has good sensitivity to small-angle ultra-low-frequency rocking excitations, making it an effective device for low-frequency energy harvesting.
Article
Engineering, Mechanical
Yi He, Yi Xiao, Zhongqing Su, Yongdong Pan, Zhen Zhang
Summary: This paper investigates the effects of Contact Acoustic Nonlinearity (CAN) on Vibro-Acoustic Modulation (VAM) for delaminated composite structures. The study includes theoretical analysis, simulations, and experiments, establishing an approximate solution for the nonlinear motional equation and implementing a modified Greenwood-Williamson (GW) model for physical contact. The results show promising potential for extracting nonlinear damage indexes and characterizing the degree and range of damage through the asymmetry of sidebands.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Mechanical
Lunan Wei, Jun Chen
Summary: In this paper, the optimal probing frequency for enhancing nonlinear vibro-acoustic modulation (VAM) behaviors of delaminated carbon fiber reinforced plastics (CFRP) is studied. A 3D finite element model and a non-contact experimental setup based on laser scanning Doppler vibrometer (LSDV) are used to investigate the magnifying effect of probing frequency on VAM behavior. A searching procedure based on scaling subtraction method (SSM) is proposed to determine the local defect resonance (LDR) of a delaminated CFRP, and damage contour maps and maximum response amplitude (MRA) are used to quantify the enhancement of nonlinear VAM response. Results show that the LDR can improve delamination detection, and the highest sensitivity is achieved when the probing frequency is selected as the sum or difference of the LDR and pumping frequency.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Computer Science, Information Systems
Junghoon Kim, Bruno Clerckx
Summary: The article proposes a novel pulse position modulation (PPM) method for enhancing information transmission and reducing energy consumption of low-power device receivers. By utilizing the information transmission method, the efficiency of converting radiofrequency signals to direct current energy is improved, resulting in more effective power transfer.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Mechanics
Miodrag Zukovic, Dzanko Hajradinovic, Ivana Kovacic
Summary: This study focuses on modelling and analyzing a vibro-impact system with a crank-slider mechanism and an oscillator under non-ideal excitation. Both analytical and numerical solutions are obtained for systems with ideal and non-ideal excitation, showing characteristic curves and results comparison. Impact solutions for different excitation frequencies are demonstrated, with the average frequency value used for the vibro-impact system under non-ideal excitation.
Article
Chemistry, Multidisciplinary
Ruichao Zhang, Dechun Chen, Liangfei Xiao
Summary: A mathematical simulation model is established to study the effect of real-time frequency variation on a beam pumping system. Deep reinforcement learning theory is used to define key elements and construct an intelligent model for frequency modulation optimization. The results show that the model can significantly reduce fluctuations in various parameters and improve the stability and energy efficiency of the system. It also enables independent learning and control of parameters, enhancing the information and intelligent management of oil wells.
Article
Chemistry, Multidisciplinary
Milan Smetana, Daniela Gombarska, Ladislav Janousek, Filip Vaverka
Summary: This study investigates real corrosion cracks that can be partially conductive in electromagnetic non-destructive evaluation using sweep-frequency eddy-current frequency-response analysis. A new approach incorporating innovative solutions is proposed to increase the probability of detection of real corrosion cracks. The proposed procedure was tested on real material specimens, demonstrating improved detection ability when a multi-point detection and further mathematical processing are used.
APPLIED SCIENCES-BASEL
(2022)
Article
Physics, Applied
Han Zhao, Xiwen Guan, Han Jia, Yuzhen Yang, Yafeng Bi, Xiaoling Gai, Xianhui Li, Jun Yang
Summary: The study presents the design of a membrane-type resonator-based Schroeder diffuser which can generate a highly efficient diffuse sound field and has a thickness 1 order of magnitude thinner than conventional diffusers. The proposed MRSD is advantageous for low frequency applications and offers flexibility for novel sound manipulations.
APPLIED PHYSICS EXPRESS
(2021)
Article
Chemistry, Multidisciplinary
Zeqiang Zhang, Ming Wu, Chen Gong, Lan Yin, Jun Yang
Summary: This paper presents a multichannel feedback active headrest system combined with the virtual microphone method and a manually adjustable headrest structure. Experimental results demonstrate the superior performance of the proposed system over conventional structures and its applicability and robustness for various users in practical conditions.
APPLIED SCIENCES-BASEL
(2021)
Article
Acoustics
Chen Gong, Ming Wu, Jianfeng Guo, Yin Cao, Zeqiang Zhang, Jun Yang
Summary: This paper introduces a narrowband active noise control (NANC) system used to cancel noise caused by revolving equipment. The frequency mismatch between a reference signal and the primary noise is eliminated by estimating frequency and changing the step size. The authors propose a step size optimization algorithm with golden section search (GSS) and virtual system to automatically find the most suitable step size, enhancing the noise reduction effect.
Article
Chemistry, Multidisciplinary
Yijing Chu, Ming Wu, Hongling Sun, Jun Yang, Mingyang Chen
Summary: This paper discusses the important factors and control strategies for multichannel active noise control (ANC) systems in applications such as windows and quiet zones around heads. It emphasizes the impact of acoustic design on system performance and provides practical guidance.
APPLIED SCIENCES-BASEL
(2022)
Article
Acoustics
Zeqiang Zhang, Ming Wu, Lan Yin, Chen Gong, Jiajie Wang, Shuang Zhou, Jun Yang
Summary: This paper proposes a design method that combines the remote microphone method with a robust fixed feedback controller to achieve active noise control in a headrest. The design objectives consider noise reduction performance, waterbed lift, and robustness against plant perturbations. Particle swarm optimization algorithm is employed to efficiently generate the feedback controller. Simulations and real-time experiments demonstrate the superior noise reduction performance and robust stability of the designed controller in attenuating broadband disturbances in a vehicle.
Article
Acoustics
Chen Gong, Ming Wu, Jianfeng Guo, Zeqiang Zhang, Yin Cao, Jun Yang
Summary: This paper introduces a new algorithm to enhance the noise reduction capability of multichannel NANC system, enabling faster and more accurate tracking of multiple frequencies, and effectively reducing noise.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Engineering, Mechanical
Yuzhen Yang, Han Jia, Hailin Cao, Xuecong Sun, Han Zhao, Yafeng Bi, Jun Yang
Summary: This study proposes a semi-analytic method to predict the sound absorption of nonplanar periodic materials. By dividing the corrugated surfaces into layers and establishing acoustic coupling equations, the method can effectively predict the absorption coefficients of the whole structure. It has been validated to be effective and practical through comparisons with experimental data and finite element simulations.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Acoustics
Jing Chen, Jun Yang
Summary: This study proposes a diffusion narrowband filtered-x least-mean-square (DNFxLMS) algorithm based on distributed acoustic sensor networks to address the high computational complexity issue in conventional multichannel narrowband active noise control (MNANC) systems. A comprehensive statistical analysis and stability boundary discussion are conducted, and expressions for steady-state mean-square deviation (MSD) and excess mean-square error (EMSE) are derived. Extensive computer simulations verify the theoretical analysis and evaluate the usefulness of the DNFxLMS algorithm.
JOURNAL OF SOUND AND VIBRATION
(2022)
Review
Chemistry, Multidisciplinary
Jun Yang, Ming Wu, Lu Han
Summary: Sound field control technology enables the active management of audio in an acoustical environment, including sound field reproduction, personal audio systems, and active noise control. This paper briefly reviews the advances of these three types of techniques and discusses their algorithms and applications.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Electrical & Electronic
Chen Gong, Ming Wu, Jianfeng Guo, Jing Chen, Zeqiang Zhang, Yin Cao, Jun Yang
Summary: This paper analyzes the statistical performance of a multichannel narrowband active noise control (NANC) system based on the filtered-x least mean square (FxLMS) algorithm. The difference equations for the transient convergence behavior and steady-state expressions are derived, and stability boundaries for the algorithm are determined. The coupling between cross secondary paths and different frequencies is skillfully considered in terms of mean square convergence. Extensive simulations validate the theoretical analysis.
Proceedings Paper
Acoustics
Sichen Liu, Feiran Yang, Fang Kang, Jun Yang
Summary: In weakly supervised sound event detection, a novel multi-task learning method is proposed to utilize the prior knowledge of time-frequency masks for each sound event. The method treats SED as the main task and source separation as the auxiliary task, and incorporates regularization constraints using shared masks.
2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
(2022)
Article
Acoustics
Han Wang, Hongling Sun, Jianfeng Guo, Ming Wu, Jun Yang
Summary: This study analyzes the performance degradation of the narrowband active noise control algorithm under frequency interference effects and obtains theoretical results regarding the convergence process, noise reduction value, stability condition, and optimum step size. The research finds that tones with large frequency difference can converge independently while systems with close frequencies experience a slower convergence rate.
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
(2022)
Article
Physics, Multidisciplinary
Zhaoyong Sun, Han Jia, Han Zhao, Suhao Wang, Han Zhang, Jun Yang
Summary: In this paper, an underwater acoustic metasurface is designed to convert a plane wave into a circular bottle beam using a 2-dimensional version of the pentamode lattice. The simulated results show that the designed metasurface can focus the energy of the plane wave on the bottle edge, forming a dark zone, and is robust against scattering from rigid obstacles. The influence of incident angle on the shape of the bottle beam is also analyzed.
Article
Engineering, Electrical & Electronic
Feiran Yang, Gerald Enzner, Jun Yang
Summary: This paper presents a comprehensive statistical analysis for a family of the overlap-save PBFDAF algorithms with 50% overlap, including the transient and steady-state performance. Theoretical models for the mean and mean-square behavior of the PBFDAF algorithms are established without restricting the distribution of the inputs to being Gaussian. The study reveals that both the constrained and unconstrained PBFDAFs converge to the Wiener solution, but the mean weight vector of the unconstrained PBFDAF algorithms cannot converge to the true solution for any inputs.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Acoustics
Xinyu Han, Ming Wu, Zerui Han, Jun Yang
Summary: This paper introduces a MUSIC framework that combines multiple circular arrays to estimate direction-of-arrival in the circular-harmonics domain. By adjusting the distribution of sub-arrays, it can provide sufficient spatial resolution. Numerical simulations and experimental results show that the proposed method outperforms state-of-the-art methods in localization performance.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2021)
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)
