Article
Engineering, Mechanical
Yuandong Xu, Dong Zhen, James Xi Gu, Khalid Rabeyee, Fulei Chu, Fengshou Gu, Andrew D. Ball
Summary: Rolling element bearings are crucial components in rotating machines, and early fault detection is important to prevent typical failures. A detector based on Ensemble Average of Autocorrelated Envelopes (EAAE) is proposed in this paper to identify early occurrence faults, utilizing phase synchronization and ensemble average to enhance cyclostationary characteristics for fault detection. This detector shows high performance in extracting local fault signatures, verified by simulation signals and experimental investigations.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Aerospace
Xingxing Jiang, Qiang Huang, Changqing Shen, Qian Wang, Kun Xu, Jie Liu, Juanjuan Shi, Zhongkui Zhu
Summary: This study proposes a synchronous chirp mode extraction (SCME) - based method for fault diagnosis of rolling element bearings (REBs) under varying speed conditions. The method estimates the shaft rotational frequency (SRF) from the low-frequency band of the vibration signal and extracts synchronous modes from the envelope waveform of the signal using a cycle-one-step estimation frame. The health conditions of the REBs are evaluated by detecting the exhibited features in the synchronous mode spectrum (SMS). Simulations and experiments demonstrate the effectiveness of the proposed method for fault diagnosis of REBs.
CHINESE JOURNAL OF AERONAUTICS
(2022)
Article
Acoustics
Ruiqi Zhang, Liang Guo, Zhuyuxiu Zong, Hongli Gao, Mengui Qian, Zaigang Chen
Summary: Accurately establishing a dynamic model of rolling bearings is essential for understanding the fault mechanism and analyzing the motion characteristics. A four-degree-of-freedom bearing dynamics model based on Hertz basis theory is proposed, considering the time-varying displacement excitation function and validating its accuracy through comparison with experimental signals. The influence of rotational speeds and defect sizes on the vibration characteristics of the bearing rolling element fault is analyzed and summarized based on the mechanical model and experimental data.
JOURNAL OF SOUND AND VIBRATION
(2023)
Article
Engineering, Mechanical
Xin Chen, Yu Guo, Jing Na
Summary: The improved envelope spectrum via feature optimization-gram (IESFOgram) is an effective tool for improving the performance of the cyclic spectral coherence algorithm in revealing fault features of rolling element bearings (REB). In this study, an improved diagnostic feature (IDF) based on frequency tolerance and soft threshold denoising is proposed to address the issue of invalid demodulation bands for revealing fault characteristics. Simulation and experimental results verify the effectiveness of the proposed scheme.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Chemistry, Multidisciplinary
Jin Guo, Yefeng Liu, Kangju Li, Qiang Liu
Summary: This paper proposes an early fault detection method based on Improved Deep Principal Component Analysis (ID-PCA), which establishes a model using the time-series characteristic information of the vibration signal. By utilizing the deep decomposition theorem, a multi-layer data processing model is created to fully extract weak fault features in the vibration signal.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Multidisciplinary
Ganesh L. Suryawanshi, Sachin K. Patil, Ramchandra G. Desavale
Summary: The study shows that increasing the inclination angle of surface faults significantly decreases the relative vibration amplitude at various rotor speeds but increases with fault depth. This empirically obtained variation in vibration amplitude can help predict the inclination of bearing surface faults.
Article
Engineering, Electrical & Electronic
Chuliang Liu, Jianping Tan, Zhonghe Huang
Summary: The vibration signals collected by sensors often contain complex frequency components, which pose challenges to bearing condition monitoring and fault diagnosis. This paper proposes an adaptive optimal mode extraction method based on the variational mode extraction (VME) method, which is capable of extracting weak fault features.
Article
Engineering, Multidisciplinary
Madhurjya Dev Choudhury, Liu Hong, Jaspreet Singh Dhupia
Summary: A new tacholess order tracking technique based on the FDTW algorithm is proposed in this paper for detecting bearing defects. By aligning and reconstructing the shaft envelope signal, a richer fault indication is provided for defect detection.
Article
Engineering, Industrial
Yi Liu, Hang Xiang, Zhansi Jiang, Jiawei Xiang
Summary: Intelligent fault diagnosis methods are effective in ensuring the safety and reliability of key parts of rotating machinery. However, the lack of data during equipment acceptance period and the assumption of high data quality affect the reliability of results. To address these issues, a time-frequency-based method is introduced to analyze impulse components based on fault features. An accurate time-frequency analysis method named the second-order transient-extracting S-transform is proposed to overcome the influence of uncertain parameters. It produces a highly concentrated time-frequency representation and demonstrates higher accuracy in feature detection compared to other methods.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Multidisciplinary
M. G. A. Nassef, Taha M. Hussein, Ossama Mokhiamar
Summary: This paper presents a framework using the SFO algorithm and GI criterion to adaptively select the optimum VMD parameters for fault identification from vibration signals of rolling bearings. Experimental results indicate the high efficiency of the proposed method in extracting fault features and excluding noise.
Article
Engineering, Multidisciplinary
Quanfu Li, Bingyan Chen, Weihua Zhang, Dongli Song
Summary: This paper proposes new combined morphological operators (CMOs) for feature extraction and investigates the impulse extraction performance of fourteen typical CMOs under different interferences. The study constructs a morphological hat cross-correlation operator (MHCCO) by cross-correlating two CMOs and proposes an improved strategy to determine the optimal length of the structural element for MHCCO. Simulations, experiments, and comparisons demonstrate the effectiveness and superiority of the proposed method. This paper provides important guidance for selecting CMOs for feature extraction and presents an effective method for bearing fault diagnosis.
Article
Engineering, Mechanical
Chen Yin, Yulin Wang, Guocai Ma, Yan Wang, Yuxin Sun, Yan He
Summary: This paper proposes a method based on improved ensemble noise-reconstructed empirical mode decomposition (IENEMD) and adaptive threshold denoising (ATD) for the weak fault feature extraction of rolling bearings. Experimental results demonstrate that the proposed method outperforms other techniques in extracting weak fault features of rolling bearings.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Mechanical
Wyatt Peterson, Thomas Russell, Farshid Sadeghi, Michael Tekletsion Berhan, Lars-Erik Stacke, Jonas Stahl
Summary: This study developed a CFD model using ANSYS FLUENT software to investigate single-phase oil flow in a deep groove ball bearing, determining key features of the model through parametric studies including meshing techniques and geometric clearances. The model utilized streamlines, velocity vectors, and pressure contours to explore various aspects of the DGBB, offering a novel approach to studying fluid flow and cage geometry effects on bearing performance.
TRIBOLOGY INTERNATIONAL
(2021)
Article
Engineering, Multidisciplinary
Yongtao Hu, Qiang Zhou, Jinfeng Gao, Jie Li, Yonggang Xu
Summary: A novel rolling bearings fault diagnosis method based on improved tunable Q-factor wavelet transform (TQWT) is proposed in this paper. The method defines a new evaluation index KR, uses it to improve the TQWT, decomposes the bearing vibration signal and sorts the sub-bands according to KR, and determines fault types through Hilbert envelope analysis, showing promising results in simulation and experiments.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Jingzhou Fei, Xinran Lv, Yunpeng Cao, Shuying Li
Summary: The hierarchical decision fusion diagnosis method for rolling bearings proposed in this study utilizes BPNN architecture and wavelet packet decomposition to improve accuracy and maintainability of fault diagnosis. The majority voting method ensures the accuracy of diagnosis results, and experimental verification demonstrates the effectiveness of the proposed method.
APPLIED SCIENCES-BASEL
(2021)
Article
Automation & Control Systems
Jing Na, Yongfeng Lv, Kaiqiang Zhang, Jun Zhao
Summary: This article proposes an ADP method for optimal tracking control of nonlinear systems using a neural network identifier and critic. The combination of static control and online training of the critic NN improves control response effectively.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Jing Na, Haoran He, Yingbo Huang, Ruili Dong
Summary: This paper presents a novel one-step adaptive parameter estimation framework for identifying unknown asymmetric dead-zone characteristic parameters in sandwich systems. It utilizes a continuous piecewise linear neural network to represent the dead-zone nonlinearities and designs an adaptive observer to reconstruct internal variables, achieving efficient parameter estimation.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Bin Wang, Ramon Costa-Castello, Jing Na, Oscar de la Torre, Xavier Escaler
Summary: This paper proposes a new adaptive estimation approach for online parameter estimation of a piezoelectric cantilever beam. By introducing the Galerkin method and separating the time and space variables of the PDE, the unknown parameters of the derived ODE model can be estimated in real time.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Engineering, Electrical & Electronic
Yingbo Huang, Huidong Hou, Jing Na, Haoran He, Jing Zhao, Zhenghao Shi
Summary: This paper presents a novel control method for half-vehicle active suspension systems driven by hydraulic actuators. It introduces a coordinate transform approach to reformulate the strict-feedback system into a canonical form without using the backstepping method. A modified high-gain observer (HGO) is studied to rebuild the unknown system states of the nonlinear active suspension system. To eliminate the effect of unknown nonlinearities, a simple robust unknown system dynamics estimator (USDE) is developed. Finally, the observer and estimator are integrated to design an output feedback controller to regulate the vehicle motion. Comparative experiments demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Instruments & Instrumentation
Zhile Wang, Jianhua Yang, Yu Guo, Tao Gong, Zhen Shan
Summary: The vibration signal of rolling bearing exhibits obvious nonstationary characteristics when the load and speed of rotating machinery change. Traditional stochastic resonance (SR) methods are not effective in extracting the nonstationary features of rolling bearings under strong noise background. This paper introduces an adaptive frequency-shift SR method combined with order analysis (OA), which successfully extracts the fault features of rolling bearing in variable speed conditions.
REVIEW OF SCIENTIFIC INSTRUMENTS
(2023)
Article
Automation & Control Systems
Xin Chen, Yu Guo, Jing Na
Summary: Synchronous averaging (SA) is a powerful signal processing tool that enhances the features of periodic events by suppressing nonsynchronous components. However, under random slip conditions, SA may not effectively enhance the features related to rolling element bearing (REB) faults. This article proposes two frameworks based on instantaneous angular speed (IAS) for synchronous averaging and introduces an improved negentropy indicator to characterize the richness of REB fault information. The effects of encoder resolution and structure damping factor on the waveform related to faulty REB are also studied. Simulation and experiment results demonstrate the effectiveness of the proposed schemes in enhancing the features of REB faults under random slip conditions.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Haoran He, Jing Na, Yingbo Huang, Tao Liu
Summary: In this article, a novel adaptive parameter estimation scheme is proposed for the continuous-time Hammerstein model. A continuous piecewise linear neural network is adopted to reformulate the dead-zone dynamics, and the K-filter operation is applied to obtain an integrated parametric model. Two adaptive laws based on estimation error are given to estimate the unknown parameters, and an observer is designed to reconstruct the unknown system states. Theoretical analysis and experiments verify the effectiveness of the proposed methods.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Xinmin Yang, Yu Guo, Jiawei Fan
Summary: The study proposes a demodulation frequency band optimization method based on fast spectral correlation for the detection of compound faults in rolling element bearing. It utilizes fast spectral correlation to obtain the bi-variable map of vibration signal and slices it according to the theoretical fault-related frequency, then optimizes the demodulation frequency band using the crest of envelope spectrum. The method effectively detects REB compound faults with a significantly reduced calculation cost compared to other methods.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Jing Zhao, Jincan Liu, Pak Kin Wong, Zhongchao Liang, Zhengchao Xie, Jing Na
Summary: This article proposes a generalized fuzzy subset (GFS) method to assess the time-varying multistate reliability. The method integrates all possible perturbations as inputs and constructs a GFS reliability model based on the composite limit state. The concept of uncertain subset boundary is introduced to conduct the reliability assessment using embedded interval type-2 fuzzy sets. A data-driven strategy is designed to address the deficiency of the GFS reliability model.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Dong-Dong Zheng, Xianyan Li, Xuemei Ren, Jing Na
Summary: The purpose of this study is to improve the transient performance and address the potential boundary-crossing issue in the design of a neural network-based intelligent prescribed performance control for robotic manipulators with input saturation. An auxiliary system is created to modify the performance boundaries when saturation occurs, ensuring that the tracking errors meet the performance constraints even when control effort is limited. A composite learning-based online identification scheme is employed to enhance the transient performance, and a Gaussian function is used to adaptively adjust the learning rate during weight updating. The stability of the closed-loop system is demonstrated through the Lyapunov approach, and simulation results support the effectiveness of the proposed identification and control schemes.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Xingling Shao, Fei Zhang, Wendong Zhang, Jing Na
Summary: This article investigates a finite-time composite learning-based elliptical enclosing control for nonholonomic robots under a GPS-denied environment. A novel bearing measurement-based relative position observer is proposed to assure estimation errors decay without GPS. An elliptical guidance law is established to yield the reference velocity and angular rate using observation outcomes. A finite-time composite neural learning driven by weight and tracking errors is devised to achieve precise disturbance compensation and error convergence.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Xiaomei Wang, Jing Na, Ben Niu, Xudong Zhao, Tingting Cheng, Wenqi Zhou
Summary: This paper proposes an adaptive bipartite secure consensus asymptotic tracking control scheme based on event-triggered strategy for the nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks. The paper successfully addresses the bipartite consensus control problem with unbalanced communication topology by incorporating the concept of shortest path into the hierarchical algorithm. An anti-attack bipartite control strategy is proposed using improved forms of tracking errors and virtual controllers, and a modified event-triggered mechanism based on relative threshold strategy ensures asymptotic convergence of bipartite consensus tracking errors.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Jintao Zhang, Xingling Shao, Wendong Zhang, Jing Na
Summary: This article proposes a path-following control method that enhances transient performances for networked mobile robots traveling over a single curve. By using a coordinated error based on projective arc length, a path-following controller is designed for multiple robots, achieving a queue formation pattern with equal arc spacing at a uniform velocity. Additionally, a tracking differentiator-based prescribed performance control scheme is proposed to enforce tracking deviations of geometric and dynamic objectives before a specified time. The developed scheme allows for cooperative behavior over a general curve and arbitrary designation of desired settling time for each robot, while ensuring convergence of all error variables.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Automation & Control Systems
Chao Zhang, Xuemei Ren, Jing Na, Dongdong Zheng
Summary: This article proposes a safe dual-layer nested adaptive prescribed performance control approach for nonlinear systems, which ensures predefined transient and steady-state performances for the discontinuous reference signal. A monitoring mechanism and a novel dual-layer nested adaptive sliding mode compensation technique are introduced to handle system uncertainties effectively.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Zhijiang Gao, Pak Kin Wong, Jing Zhao, Zhixin Yang, Yingbo Huang, Jing Na
Summary: This article addresses the optimal control problem for magnetorheological fluid-based semiactive suspension systems with input saturation and time-varying delay. A robust switched H∞ method based on the Takagi-Sugeno fuzzy theory is proposed to handle this problem. A novel hybrid model incorporating the fluid flow mechanism and hysteresis phenomenon model is used to separate the passive and active components of the MRF damper. Linear matrix inequality conditions are derived to capture the features of input saturation and time-varying delay, and a Lyapunov-Krasovskii function is employed to ensure stability. Numerical examples demonstrate the effectiveness of the proposed method in dealing with the MRF-SAS system with input saturation and time-varying delay.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
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)
