Article
Acoustics
Zilong Zhou, Jinkun Zhang, Ruishan Cheng, Yichao Rui, Xin Cai, Lu Chen
Summary: The study proposes a denoising method based on CEEMDAN and WPTD to reduce the noise of blasting vibration signals. The method decomposes the signals and applies wavelet packet threshold denoising to effectively reduce noise and preserve vibration components.
Article
Materials Science, Multidisciplinary
Guangxian Li, Rizwan Abdul Rahman Rashid, Songlin Ding, Shoujin Sun, Suresh Palanisamy
Summary: This study investigates the machinability of titanium components fabricated using additive manufacturing compared to conventional wrought methodologies. The results show that the same cutting tools used for machining wrought titanium components can be used for selective laser melted (SLMed) parts during finish-machining operations. Cutting forces in SLMed workpieces can be up to 70% higher than those in wrought counterparts. Tool-wear analysis reveals larger tool-workpiece engagement area on the tool rake face in machining wrought parts, with adhesion and attrition being the dominant wear mechanisms.
Article
Chemistry, Analytical
Zengyuan Liu, Xiujuan Feng, Chengliang Dong, Mingzhi Jiao
Summary: This paper proposes an analytical method of PID signal with the adaptive weight of small wave packet decomposition node to suppress noise caused by the photoionization detector monitoring signal of VOCs. The PID signal is transmitted to the upper machine software through a single-chip microcontroller. By comparing with traditional wavelet packet denoising method, the superiority of the proposed method in denoising signals of PID is verified. This method lays a foundation for accurate VOCs monitoring in a high humidity environment by eliminating noise generated by local non-uniformity on the photocathode surface of PID ionization chamber.
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
Acoustics
Marta Zamorano, Maria Jesus Gomez Garcia, Cristina Castejon
Summary: There are various methods available to detect and diagnose defects in mechanical components during operation, with the latest ones involving intelligent classification systems and pattern evaluation. The article introduces the wavelet packet transform for evaluating the condition of rotating elements, along with a detailed methodology for selecting the mother wavelet.
JOURNAL OF VIBRATION AND CONTROL
(2022)
Article
Geosciences, Multidisciplinary
Liang Zhang, Sheng Zhang, Tonghua Ling, Zongwei Deng
Summary: The analysis of time-frequency variation and energy refinement characteristics of blasting vibration signals helps to understand the propagation law of blasting vibration wave and reduce possible losses. This study explores and studies the spectrum distribution and energy refinement characteristics of tunnel blasting vibration signals based on the measured data of tunnel blasting excavation and a newly constructed wavelet function. The results show that the innovative method of scale energy spectrum can accurately acquire the dominant frequency of the blasting vibration signals and the obtained spectrum curve can clearly reflect the change trend of the signal spectrum.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Acoustics
Shaobo Ji, Ying Jiang, Guoqiang Wang, Guohong Tian, Zeting Yu, Xin Lan, Wenwen Wang, Yong Cheng
Summary: The correlation between combustion status and block vibration was studied under different engine speed, torque, and oil temperature conditions. Results showed that frequency components below 8 kHz had a similar trend with the peak combustion pressure at different speed conditions. Frequency components from 8 kHz to 25 kHz increased with engine speed and were mainly affected by inertia force. The spectrum energy of frequency components increased with engine torque. The maximum spectrum energy of frequency components below 20 kHz did not show a specific trend due to the opposite effects of combustion pressure and oil damping at different oil temperatures. Frequency components higher than 20 kHz increased with increasing oil temperature, indicating their greater sensitivity to oil damping.
Article
Chemistry, Multidisciplinary
Lihua Yang, Weipeng Gao, Jun Yang, Bo Zhao, Libin Liu
Summary: A novel adaptive strategy, the WPTDDM-FxLMS algorithm, is proposed in this paper to solve the MIMO vibration problems with multi-frequency excitation and multi-path coupling in underwater vehicles.
APPLIED SCIENCES-BASEL
(2021)
Article
Thermodynamics
Liqiang Wang, Xiao Li, Bo Shi, Munyaradzi Munochiveyi
Summary: This paper proposes an experimental scheme to monitor tool wear state by extracting vibration signals. Time domain and frequency domain analyses are conducted, and wavelet packet decomposition is applied for further analysis. The characteristic frequency bands and energy percentages closely related to tool wear are identified.
ADVANCES IN MECHANICAL ENGINEERING
(2022)
Article
Engineering, Marine
Marta Zamorano, Deivis Avila, Graciliano Nicolas Marichal, Cristina Castejon
Summary: This study investigates the condition monitoring of marine lube oil purifiers by analyzing vibratory signals and utilizing intelligent classification systems, aiming to improve energy efficiency and reduce losses.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Mathematics, Applied
Zhiguo Zhang, Mark A. Kon
Summary: This study introduces a method to implement quantum wavelet transforms by introducing new inner products and norms and converting wavelet transform algorithms into matrix forms for quantum computation. The results show that infinite matrix operators can be converted into finite forms through singular value decompositions, enabling the implementation of standard wavelet transforms.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Environmental Sciences
Liang Chen, Xingrong Lu, Daping Deng, Mehdi Kouhdarag, Yimin Mao
Summary: This study focuses on the dynamic transient analysis of arched beam bridges over rivers. A novel metric, the wavelet packet rate index (WPERI), is introduced for detecting cracks in curved bridge segments over rivers. The WPERI proves reliable in accounting for the river environment's impact on structural integrity, and its sensitivity and precision in crack detection are highlighted. The study underscores the potential of wavelet packet decomposition and finite element analysis as tools for crack detection in riverine bridges.
Article
Chemistry, Analytical
Xiaolong Zhou, Xiangkun Wang, Haotian Wang, Zhongyuan Xing, Zhilun Yang, Linlin Cao
Summary: This paper proposes an enhanced signal denoising method based on MODWPT and VMD, which accurately extracts the signal feature information and filters out the noise components in the vibration signals from rotating machinery.
Article
Engineering, Electrical & Electronic
Marta Zamorano, Maria Jesus Gomez, Cristina Castejon
Summary: The study focuses on detecting cracked railway axles by processing vibratory signals measured during operation. The rotodynamic theory is applied, but there is no consensus on its application in practice. Finding reliable patterns that change during operation would be advantageous for obtaining data between inspections. The wavelet packet transform (WPT) has shown to be reliable for obtaining patterns in the time-frequency domain.
Article
Engineering, Civil
Zhanghua Xia, Youqin Lin, Qi Wang, Qian Fan
Summary: This study discusses the potential damage to prestressed cables and suspender cables used in bridges, and proposes a method for detecting cable damage through a series of performance experiments.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2021)
Article
Polymer Science
Miguel Angel Caminero, Jesus Miguel Chacon, Eustaquio Garcia-Plaza, Pedro Jose Nunez, Jose Maria Reverte, Jean Paul Becar
Article
Polymer Science
Eustaquio Garcia Plaza, Pedro Jose Nunez Lopez, Miguel Angel Caminero Torija, Jesus Miguel Chacon Munoz
Article
Engineering, Manufacturing
E. Garcia Plaza, P. J. Nunez Lopez, E. M. Beamud Gonzalez
JOURNAL OF MANUFACTURING PROCESSES
(2019)
Article
Chemistry, Physical
Jose Maria Reverte, Miguel Angel Caminero, Jesus Miguel Chacon, Eustaquio Garcia-Plaza, Pedro Jose Nunez, Jean Paul Becar
Article
Engineering, Mechanical
Miguel Angel Caminero, Ana Romero, Jesus Miguel Chacon, Pedro Jose Nunez, Eustaquio Garcia-Plaza, Gloria Patricia Rodriguez
Summary: The study characterizes the mechanical and geometric performance of 3-D printed FFF 316 L metal components, focusing on the effects of build orientation and printing strategy. Experimental analysis techniques are used to investigate the microstructure and defects on material properties under tensile testing, showing the significance of build orientation on the performance of FFF-metal 3-D printed samples. Near-dense 316 L austenitic stainless steel components were successfully manufactured using FFF technology.
RAPID PROTOTYPING JOURNAL
(2021)
Article
Engineering, Mechanical
Jesus Miguel Chacon, Miguel Angel Caminero, Pedro Jose Nunez, Eustaquio Garcia-Plaza, Jean Paul Becar
Summary: The effect of nozzle diameter on the mechanical and geometric quality of 3D printed composite samples was significant. Large nozzle diameters tended to increase mechanical performance and enhance surface roughness, with a reduction in manufacturing costs. In contrast, 3D printed composite samples with small nozzle diameter exhibited higher geometric accuracy.
RAPID PROTOTYPING JOURNAL
(2021)
Article
Engineering, Multidisciplinary
E. Garcia, P. J. Nunez, M. A. Caminero, J. M. Chacon, S. Kamarthi
Summary: The increasing demand for high-quality on-demand products has driven the development of additive manufacturing technologies. Fused filament fabrication (FFF) is one of the most popular AM technologies, but it still cannot compete with traditional manufacturing processes in producing high-quality end-use products. Researchers are developing new advanced filaments infused with nanoparticles, short and continuous fibers to improve mechanical properties and geometric quality features. This study evaluates the impact of fiber addition to PETG filaments on the geometric properties of FFF manufactured parts and finds optimal printing parameters using predictive models.
COMPOSITES PART B-ENGINEERING
(2022)
Article
Engineering, Mechanical
Miguel Angel Caminero, Ana Romero Gutierrez, Jesus Miguel Chacon, Eustaquio Garcia-Plaza, Pedro Jose Nunez
Summary: Effects of common FFF printing parameters on the geometric and mechanical performance of 316L stainless-steel components were assessed. The study analysed the microstructural characteristics of the metal filled filament, 3D printed green parts, and final sintered parts, as well as evaluated the dimensional accuracy, hardness, tensile properties, relative density, part shrinkage, porosity, and surface roughness. Predictive models based on artificial neural networks (ANNs) were used to characterize dimensional accuracy, shrinkage, surface roughness, and density, and the response surface method based on ANNs was applied to identify the optimum 3D printing conditions.
RAPID PROTOTYPING JOURNAL
(2022)
Article
Engineering, Mechanical
Jesus Miguel Chacon, Javier Sanchez-Reyes, Javier Vallejo, Pedro Jose Nunez
Summary: This paper discusses how to adhere to the NURBS standard in all phases of the additive manufacturing workflow to avoid unnecessary polygonal approximations, resulting in a considerable improvement in quality. By using commercial CAD systems, circular arcs can be directly expressed as G2/G3 G-code commands, and free-form paths can be rewritten as cubic Bezier curves for exact translation into G5 commands, streamlining the workflow and minimizing errors associated with approximations.
RAPID PROTOTYPING JOURNAL
(2022)
Article
Chemistry, Physical
Elena Maria Beamud-Gonzalez, Pedro Jose Nunez-Lopez, Eustaquio Garcia-Plaza
Summary: This paper aims to analyze the effects of the interelectrode gap, initial surface roughness, electrolyte temperature, current density, and EP time on the electroplishing process of AISI 316L stainless steel. These effects have not been studied in the literature, including polishing rate, final surface roughness, dimensional accuracy, and electrical consumption cost. The results showed that the EP time had the greatest effect on all criteria analyzed, while a temperature of 35°C had the best electrolyte performance. The response surface methodology and desirability function were used to determine the optimum individual and multi-objective parameters.
Article
Engineering, Manufacturing
J. Vallejo, E. Garcia-Plaza, P. J. Nunez, J. M. Chacon, M. A. Caminero, A. Romero
Summary: FFF is a widely used additive manufacturing technique that simplifies the production of functional fibre reinforced composite products. However, it has limitations in terms of geometric and dimensional behavior, especially in machining operations. This study assessed the machinability of CF-PETG processed by FFF and found that it performed well in face milling but showed geometric defects in peripheral milling.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
(2023)
Article
Materials Science, Characterization & Testing
E. Garcia, P. J. Nunez, J. M. Chacon, M. A. Caminero, S. Kamarthi
Meeting Abstract
Surgery
M. R. Prieto Aldape, A. S. Gonzalez Rubio, P. J. Ibarra Nunez, A. Gonzalez Ojeda, A. C. Camacho Gomez
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)