Article
Environmental Sciences
Bingzhe Dai, Jie Li, Jiahao Zhou, Yingting Zeng, Wenhao Hou, Junchao Zhang, Yao Wang, Qilin Zhang
Summary: In this paper, a modified empirical wavelet transform (MEWT) method was proposed to process natural lightning signal data. The experimental results demonstrated the adaptive processing capability of the method for lightning signals with different frequencies as well as the noise reduction effect for VLF lightning signals.
Article
Engineering, Multidisciplinary
Jianchun Guo, Zetian Si, Jiawei Xiang
Summary: This paper proposes a compound fault detection method using wavelet scattering transform and an improved soft threshold denoising algorithm to extract compound faults in bearings. Simulations and experiments have shown that this method can effectively detect compound faults in bearings.
Article
Mathematics
Peter M. Luthy, Hrvoje Sikic, Fernando Soria, Guido L. Weiss, Edward N. Wilson
Summary: The theory of wavelets has been thoroughly studied, with standard references including books by various authors. Despite this, there are still some open questions in the study of wavelets in a single dimension. This article provides a comprehensive approach to these questions and presents new results and advances. The study is guided by the philosophy presented in a book by Hernandez and Weiss, which characterizes orthonormal wavelets by four basic equations and emphasizes the interplay between wavelets and Fourier analysis. The article focuses on the quality of new results and their clear presentations. The main topics covered include shift invariant spaces, filters, MRA structures, and dyadic resolution levels. The article concludes with a partial resolution of the Baggett problem.
MEMOIRS OF THE AMERICAN MATHEMATICAL SOCIETY
(2022)
Article
Computer Science, Artificial Intelligence
Jun-Jie Huang, Pier Luigi Dragotti
Summary: The proposed WINNet method combines the advantages of wavelet-based methods and learning methods for image denoising, containing LINNs, sparse coding denoising, noise estimation networks, etc. By implementing nonlinear redundant transforms, sparse coding, and adaptively adjusting soft thresholds, WINNet method demonstrates strong generalization ability across different noise levels.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2022)
Article
Energy & Fuels
Noman Shabbir, Lauri Kutt, Bilal Asad, Muhammad Jawad, Muhammad Naveed Iqbal, Kamran Daniel
Summary: This article discusses research on power quality issues in modern power systems, focusing on improving power factor to mitigate the adverse effects of inductive loads on the system. Through the analysis of real-time data from a frequency converter, a hybrid solution based on wavelet transform and Fourier transform is proposed for diagnosing the causes of motor failure in ventilation systems.
Article
Engineering, Electrical & Electronic
Jing Yuan, Ze Yao, Qian Zhao, Yiyu Xu, Chao Li, Huiming Jiang
Summary: This article proposes a novel TF analysis method called "dual-core denoised SST", which utilizes dual-core denoising and multistep denoising strategy to accurately extract time-frequency features of gear faults. The effectiveness of the method is verified through repeatable simulations and engineering applications.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Multidisciplinary
Hassan M. Aljohani
Summary: The paper presents a wavelet shrinkage model with noise variance estimated using exponential distribution, involving an epsilon-contamination prior distribution for robust priors in Bayesian analysis. The proposed method computes posterior mean, applies wavelet methods for signal reconstruction, and compares different approaches through extensive simulation and application on a real-life data set. The main focus is on comparing two different likelihoods - normal distribution and double exponential distribution.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Chemistry, Analytical
Eugenio Brusa, Cristiana Delprete, Simone Gargiuli, Lorenzo Giorio
Summary: Maintenance scheduling is crucial in industry to avoid economic losses caused by excessive downtime. Monitoring systems are used to detect failures, with rolling bearings being a primary cause of such failures. Noise affects vibration signals extracted from bearings, making it difficult to extract and classify features. This article presents an algorithm to optimize denoising parameters using the discrete wavelet transform and thresholding, and evaluates different configurations using a database. The results indicate that the best combination of parameters for denoising is dmey, rigrSURE, and the hard threshold. Further classification is done using principal component analysis and features extracted in the time domain.
Review
Engineering, Biomedical
Syarifah Noor Syakiylla Sayed Daud, Rubita Sudirman
Summary: This review article comprehensively describes the application of the wavelet method in denoising the EEG signal based on recent research. It provides an overview of the basic theory and characteristics of EEG and the wavelet transform method, describes commonly applied wavelet-based methods for EEG dataset denoising, reviews a considerable number of the latest published EEG research works with wavelet applications, discusses challenges in current EEG-based wavelet method research, and recommends alternative solutions to mitigate the issues.
ANNALS OF BIOMEDICAL ENGINEERING
(2022)
Article
Automation & Control Systems
Jinde Zheng, Shijun Cao, Haiyang Pan, Qing Ni
Summary: This paper proposes a novel spectral envelope-based adaptive empirical Fourier decomposition (SEAEFD) method to improve the performance of AEFD in rolling bearing vibration signal analysis. SEAEFD optimizes the spectrum segmentation boundary to achieve adaptive segmentation and minimize noise components, allowing nonstationary signals to be decomposed into single-component signals with physical significance.
Article
Engineering, Mechanical
Ruqiang Yan, Zuogang Shang, Hong Xu, Jingcheng Wen, Zhibin Zhao, Xuefeng Chen, Robert X. Gao
Summary: This paper provides a comprehensive overview of the advancement in wavelet transform-based fault diagnosis research over the last decade. It highlights the applications of wavelet transform in traditional fault diagnosis and intelligent fault diagnosis as well as discusses future research trends.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Multidisciplinary
Yanlong Pan, Cai Yi, Xinwu Song, Du Xu, Qiuyang Zhou, Yanping Li, Jianhui Lin
Summary: In order to accurately locate the resonant zone caused by bearing failure, a compound fault resonant band detection method is proposed. Firstly, a multi-level frequency band segmentation method based on L2/L1 norm of envelope spectrum is designed. Secondly, based on the results of frequency band segmentations, a health index ICS2 is introduced to guide the detection of fault resonant band.
Article
Engineering, Biomedical
Mahesh Chandra, Pankaj Goel, Ankita Anand, Asutosh Kar
Summary: The improved high-speed adaptive filter-based denoising architectures proposed in this paper outperform existing adaptive filter architectures and wavelet-based architectures, offering design flexibility and efficiency in denoising ECG signals in noisy environments for low-cost high-performance applications in the medical field. These architectures also require significantly less hardware compared to state-of-the-art wavelet-based architectures.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Computer Science, Interdisciplinary Applications
Feiyun Xiao
Summary: In this paper, an sEMG denoising algorithm based on empirical wavelet transform (EWT) and improved interval thresholding (IIT) is proposed to effectively eliminate noise interference and achieve the best denoising effect.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2022)
Article
Computer Science, Information Systems
Bowen Ren, Lan Chen, Rong Chen, Ruian Ji, Yali Wang
Summary: This paper studies and discusses the noise characteristics of atomic force microscopy measurement data for chip surface topography in the field of chemical mechanical planarization (CMP). It is found that the noise is mainly caused by the vibration and tilt of the probe, and it can be categorized into low-frequency and high-frequency components. To solve this problem, a wavelet-Fourier transform composite noise reduction method is proposed and applied to the noise reduction of 32 nm copper interconnect process chip surface data.
Article
Automation & Control Systems
Yi Qin
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2018)
Article
Automation & Control Systems
Yi Qin, Xin Wang, Jingqiang Zou
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2019)
Article
Computer Science, Artificial Intelligence
Xin Wang, Yi Qin, Aibing Zhang
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2018)
Article
Engineering, Multidisciplinary
Yi Wang, Peter W. Tse, Baoping Tang, Yi Qin, Lei Deng, Tao Huang
Article
Engineering, Electrical & Electronic
Siliang Lu, Yi Qin, Jun Hang, Baohua Zhang, Qunjing Wang
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2019)
Article
Instruments & Instrumentation
Yi Qin, Tiantian Wei, Yue Zhao, Haizhou Chen
SMART MATERIALS AND STRUCTURES
(2019)
Article
Acoustics
Yi Qin, Folin Cao, Yi Wang, Weiwei Chen, Haizhou Chen
JOURNAL OF SOUND AND VIBRATION
(2019)
Article
Engineering, Multidisciplinary
Bingchang Hou, Yi Wang, Baoping Tang, Yi Qin, Yang Chen, Yuhang Chen
Article
Engineering, Mechanical
Yi Wang, Peter W. Tse, Baoping Tang, Yi Qin, Lei Deng, Tao Huang, Guanghua Xu
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2019)
Article
Computer Science, Artificial Intelligence
Xin Wang, Yi Qin, Yi Wang, Sheng Xiang, Haizhou Chen
Article
Engineering, Mechanical
Kai Zhang, Baoping Tang, Yi Qin, Lei Deng
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2019)
Article
Chemistry, Analytical
Dejun Xi, Yi Qin, Yangyang Wang
Article
Chemistry, Analytical
Xi Xu, Yi Qin, Dejun Xi, Ruotong Ming, Jie Xia
Summary: This paper proposes a novel multi-scale transformer network for improving the segmentation accuracy of marine animals. By designing a dimensionality reduction CNN module and a multi-scale transformer module, rich contextual information from different scales and subregions can be captured. Experimental results demonstrate that the proposed method outperforms existing approaches in marine animal dataset and ISIC 2018 dataset, indicating its important application value for segmenting underwater images.
Proceedings Paper
Engineering, Multidisciplinary
Jingqiang Zou, Yi Qin, Aibing Zhang
2018 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHONGQING 2018)
(2018)
Article
Computer Science, Information Systems
Yongfang Mao, Yi Qin, Aibing Zhang
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)
