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ambient vibration test 2

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De-noising of diesel vibration signal using wavelet packet and singular value decomposition

DUAN Li-xiang, ZHANG Lai-bin, WANG Zhao-hui

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 4,   Pages 443-447 doi: 10.1007/s11465-006-0055-6

Abstract: The vibration signals of diesel include excess noise that must be eliminated before extraction of characteristicFirstly, the effects of vibration-signal de-noising among Fourier transform, wavelet decomposition andSecondly, singular value decomposition is applied to de-noising vibration signals.In this method, vibration signals are decomposed by wavelet packet, and the wavelet packet coefficientThe SNR (signal-to-noise ratio) of the vibration signals of a diesel cylinder lid is the highest.

Keywords: coefficient     de-noised     cylinder     signal-to-noise     wavelet decomposition    

Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0713-3

Abstract: Gearbox fault diagnosis based on vibration sensing has drawn much attention for a long time.systems, the intercoupling of structure transfer paths results in a great reduction or even change of signalcharacteristics during the process of original vibration transmission.Therefore, using gearbox housing vibration signal to identify gear meshing excitation signal is of greatsignal and has the potential to be generalized to other speeds and loads.

Keywords: gearbox fault diagnosis     meshing stiffness     identification     transfer path     signal processing    

Vibration testing of a steel girder bridge using cabled and wireless sensors

Dapeng ZHU, Yang WANG, James BROWNJOHN

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 3,   Pages 249-258 doi: 10.1007/s11709-011-0113-y

Abstract: Bridge vibration due to traffic and ambient excitation is measured.To enhance the signal-to-noise ratio, a low-noise high-gain signal conditioning module is developed for

Keywords: wireless sensing     structural health monitoring (SHM)     signal conditioning     operating deflection analysis     ambient vibration    

data enhancement for implementation in purification of modal frequency for extremely noisy ambient vibration

Hassan YOUSEFI, Alireza TAGHAVI KANI, Iradj MAHMOUDZADEH KANI, Soheil MOHAMMADI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 446-472 doi: 10.1007/s11709-019-0605-8

Abstract: Both the signal-to-noise ratio and the peak signal-to-noise ratio are small.

Keywords: ambient vibration test     high level noise     iterative signal enhancement     wavelet     cross and autocorrelation    

Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: compact learning system and detect the structural state of a steel frame; the input was a series of vibrationThe digital image correlation (DIC) technology was utilized to collect vibration information of an actualIt is demonstrated that: 1) the CNN can extract the structural state information from the vibration signals

Keywords: structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

Anti-collision monitoring based on detecting casing head vibration induced by drill movements

He Baosheng,Liu Gang,Wang Shuangping,Wen Min

Strategic Study of CAE 2011, Volume 13, Issue 5,   Pages 74-78

Abstract: An anti-collision monitoring system based on detecting casing head vibration induced by drilling movementsThe acceleration sensors were fixed on the casing head to fell the vibration, the time domain analysisand frequency domain analysis were used in signal processing to recognize the approach motive of theThe result of rig-site test shows that the newly disigned monitoring system can recognize the vibrationIt also indicates that the anti-collision monitoring system for detecting casing head vibration is practicable

Keywords: encryption adjustment well     anti-collision     risk well     vibration signal     time domain analysis     frequency    

Noise Reduction of Vibration Signal of Cyclic Machine Based on the EMD

Yang Jianwen,Jia Minping,Xu Feiyun,Hu Jianzhong

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 66-69

Abstract: Aimed at the low signal/noise ratio and non stationary feature of vibration signal of cyclic machine,EMD is introduced to the noise reduction of vibration signal and the useful signal is given prominencesimulation and application, it shows that EMD is very useful in reducing noise and provides new means of vibrationsignal analyzing.

Keywords: fault diagnosis     empirical mode decomposition     cyclic machine     filter    

Vibration characteristics and machining performance of a novel perforated ultrasonic vibration platform

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0730-2

Abstract: Ultrasonic vibration-assisted grinding (UVAG) is an advanced hybrid process for the precision machiningIts performance considerably influences the vibration amplitude and resonant frequency.In this work, a novel perforated ultrasonic vibration platform resonator was developed for UVAG.vibration characteristics.The performance of the vibration platform was evaluated by the vibration tests and UVAG experiments of

Keywords: ultrasonic vibration-assisted grinding     perforated ultrasonic vibration platform     vibration characteristics    

Fault Pattern Recognition of Rolling Bearing Based on Radial Basis Function Neural Networks

Lu Shuang,Zhang Zida,Li Meng

Strategic Study of CAE 2004, Volume 6, Issue 2,   Pages 56-60

Abstract: light of the merit of radial basis function neural network and on the basis of the feature analysis of vibrationsignal of rolling bearing, AR model is presented by using time series method.

Keywords: rolling bearing     vibration signal     AR model     RBF neural networks     pattern recognition    

Damping Identification of Bridges Under Nonstationary Ambient Vibration

Sunjoong Kim, Ho-Kyung Kim

Engineering 2017, Volume 3, Issue 6,   Pages 839-844 doi: 10.1016/j.eng.2017.11.002

Abstract:

This research focuses on identifying the damping ratio of bridges using nonstationary ambient vibrationmean value and standard deviation of the damping ratio for the first vertical mode decreased after signal

Keywords: Damping     Operational modal analysis     Traffic-induced vibration     Nonstationary     Signal stationarization     Amplitude-modulating    

Recent development of vibration utilization engineering

WEN Bangchun

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1,   Pages 1-9 doi: 10.1007/s11465-008-0017-2

Abstract: The utilization of vibration and wave, which was developed during the latter half of the 20th centuryThus, due to its necessity in industry and daily life, extensive research has been devoted to vibrationIn this paper, vibration utilization is classified into linear or non-linear vibrations, waves, and electric-magneticSome research results about vibration utilization engineering are described.

Keywords: utilization engineering     non-linear     vibration     vibration utillization     utillization engineering    

CHARACTERISTICS OF HERBIVORY/WOUND-ELICITED ELECTRICAL SIGNAL TRANSDUCTION IN TOMATO

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 2,

Abstract: plant species Arabidopsis has been characterized but the characteristics of electrical signalUnlike those in Arabidopsis, wounding tomato leaves did not cause leaf-to-leaf electrical signalLeaflet wounding also activated electrical signal transduction and jasmonic acid (JA) signaling withinThis work reveals the nature of electrical signal transduction in tomato and emphasizes the key rolesof GLR3.3 and GLR3.5 in electrical signal transduction and JA signaling activation.

Keywords: electrical signal / glutamate receptor-like / herbivory / jasmonic acid / tomato    

Acoustic fault signal extraction via the line-defect phononic crystals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 10-10 doi: 10.1007/s11465-021-0666-y

Abstract: Rotating machine fault signal extraction becomes increasingly important in practical engineering applicationsHowever, fault signals with low signal-to-noise ratios (SNRs) are difficult to extract, especially atline-defect phononic crystals (PCs) consisting of periodic acrylic tubes with slit are proposed for weak signalThe effectiveness of weak harmonic and periodic impulse signal detection via line-defect PCs are investigated

Keywords: phononic crystals     line-defect     fault signal extraction     acoustic enhancement    

A Realization to Enhance the Signal Noise Ratio With Superposition on the Same Phase Signal

Han Xiuting,Wang Jiechun,Jiao Zhenqaing,Gao Fei,Song Yubo

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 64-68

Abstract:

This paper talks about method to enhance vibration signals gotten by hitting iron pipe to cause aThe method, in which mccltiple similar signals are superposed, can not only decrease the noise in the signal

Keywords: vibrating wave     reflection wave     signal enhancement     software for superposition signal    

Application of python-based Abaqus preprocess and postprocess technique in analysis of gearbox vibration

Guilian YI, Yunkang SUI, Jiazheng DU

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 229-234 doi: 10.1007/s11465-011-0128-z

Abstract:

To reduce vibration and noise, a damping layer and constraint layer are usually pasted on the innersurface of a gearbox thin shell, and their thicknesses are the main parameters in the vibration andThe normal acceleration of the point on the gearbox surface is the main index that can reflect the vibrationcharacteristics of the whole structure, and the vibration acceleration level is adopted to measure thedegree of the vibration and noise.

Keywords: Abaqus secondary development     Python language     vibration and noise reduction     K-S function     vibration acceleration    

Title Author Date Type Operation

De-noising of diesel vibration signal using wavelet packet and singular value decomposition

DUAN Li-xiang, ZHANG Lai-bin, WANG Zhao-hui

Journal Article

Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Journal Article

Vibration testing of a steel girder bridge using cabled and wireless sensors

Dapeng ZHU, Yang WANG, James BROWNJOHN

Journal Article

data enhancement for implementation in purification of modal frequency for extremely noisy ambient vibration

Hassan YOUSEFI, Alireza TAGHAVI KANI, Iradj MAHMOUDZADEH KANI, Soheil MOHAMMADI

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

Anti-collision monitoring based on detecting casing head vibration induced by drill movements

He Baosheng,Liu Gang,Wang Shuangping,Wen Min

Journal Article

Noise Reduction of Vibration Signal of Cyclic Machine Based on the EMD

Yang Jianwen,Jia Minping,Xu Feiyun,Hu Jianzhong

Journal Article

Vibration characteristics and machining performance of a novel perforated ultrasonic vibration platform

Journal Article

Fault Pattern Recognition of Rolling Bearing Based on Radial Basis Function Neural Networks

Lu Shuang,Zhang Zida,Li Meng

Journal Article

Damping Identification of Bridges Under Nonstationary Ambient Vibration

Sunjoong Kim, Ho-Kyung Kim

Journal Article

Recent development of vibration utilization engineering

WEN Bangchun

Journal Article

CHARACTERISTICS OF HERBIVORY/WOUND-ELICITED ELECTRICAL SIGNAL TRANSDUCTION IN TOMATO

Journal Article

Acoustic fault signal extraction via the line-defect phononic crystals

Journal Article

A Realization to Enhance the Signal Noise Ratio With Superposition on the Same Phase Signal

Han Xiuting,Wang Jiechun,Jiao Zhenqaing,Gao Fei,Song Yubo

Journal Article

Application of python-based Abaqus preprocess and postprocess technique in analysis of gearbox vibration

Guilian YI, Yunkang SUI, Jiazheng DU

Journal Article