Automated mobile vibration measurement and signal analysis for bridge scour prevention and warning

2022 ◽  
Vol 134 ◽  
pp. 104063
Author(s):  
Min-Yuan Cheng ◽  
Kuo-Wei Liao ◽  
Yung-Fang Chiu ◽  
Yu-Wei Wu ◽  
Shu-Hua Yeh ◽  
...  
Keyword(s):  
Signal Analysis ◽  
Vibration Measurement ◽  
Bridge Scour

Wavelet Analysis of Vibration: Part 1—Theory

1994 ◽  
Vol 116 (4) ◽  
pp. 409-416 ◽  
Author(s):  
D. E. Newland
Keyword(s):  
Signal Analysis ◽  
Spectral Composition ◽  
Vibration Measurement ◽  
Harmonic Wavelets ◽  
Time Frequency ◽  
Orthogonal Wavelets ◽  
Vibration Data ◽  
Measurement And Analysis ◽  
Frequency Map ◽  
Selection Of

Wavelets provide a new tool for the analysis of vibration records. They allow the changing spectral composition of a nonstationary signal to be measured and presented in the form of a time-frequency map. The purpose of this paper, which is Part 1 of a pair, is to introduce and review the theory of orthogonal wavelets and their application to signal analysis. It includes the theory of dilation wavelets, which have been developed over a period of about ten years, and of harmonic wavelets which have been proposed recently by the author. Part II is about presenting the results on wavelet maps and gives a selection of examples. The papers will interest those who work in the field of vibration measurement and analysis and who are in positions where it is necessary to understand and interpret vibration data.

Excited Energy Attenuation Study through Vibration Measurement and Spectrum Analysis

2010 ◽  
Vol 437 ◽  
pp. 482-486
Author(s):  
Shen Yung Lin ◽  
C.K. Chang ◽  
C.T. Chung ◽  
F.C. Hsu ◽  
C.C. Wang ◽  
...  
Keyword(s):  
Signal Analysis ◽  
Vibration Signal ◽  
Vibration Measurement ◽  
Vehicle Body ◽  
Vibration Energy ◽  
Manufacturing Companies ◽  
The Road ◽  
Design And Manufacturing ◽  
Spectrum Density ◽  
On Line

This paper presents the use of vibration measurement in conjunction with spectrum signal analysis to investigate the vibration phenomena and the dynamic response of the absorber system frame and rigid axle of a vehicle body under real road-driving conditions. Ford 1.6L sedan was selected as the vehicle body to carry out the experiments with different driving speeds. B&K PULSE dynamic signal analyzer was used to detect the vibration signal induced from the absorber system frame and rigid axle of the vehicle body in motion. The acquired on-line signals are then processed through the Fast Fourier Transform using the power spectrum density, the cepstrum method, and the overall analysis. The vibration energy attenuated from the absorber system is analyzed by comparing with that on the rigid axle excited from the road conditions corresponding to different driving speeds. Furthermore, the effects of various road conditions and driving speeds on oscillation of the vehicle body are studied. The corresponding results may be extensively treated as a guiding reference of the absorber system design and manufacturing for those vehicle manufacturing companies.

Study on Automobile Engine Vibration Test Based on LabView Software

2011 ◽  
Vol 418-420 ◽  
pp. 1843-1846
Author(s):  
Zheng Cai Yang ◽  
Zhao Wen Deng
Keyword(s):  
Signal Analysis ◽  
High Performance ◽  
Low Cost ◽  
Vibration Signal ◽  
Data Access ◽  
Vibration Measurement ◽  
Signal Acquisition ◽  
Labview Software ◽  
Vibration Signal Analysis ◽  
Analysis System

A set of Vibration Measurement and Analysis System was Researched. It is the PC as a hardware platform and the labview as a software platform that Completed the whole system. The system contains the necessary sensors, signal conditioning ,data acquisition card and so on.It has data collection, processing,analysis,and results show functions. The Users can carry on the vibration signal analysis by Modules. Software functions Consists mainly of Signal acquisition, historical data access, data filtering, signal analysis and so on. The system is stable, full-featured, easy to operate and has good scalability and low cost high performance.

scholarly journals Estimation and Reduction of Noise in Gears

2018 ◽  
pp. 167-175
Author(s):  
Shubham Dhokale ◽  
Sanjay Bahulikar ◽  
Vishal Hemke
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Models ◽  
Rotational Speed ◽  
Signal Analysis ◽  
Experimental Methods ◽  
Vibration Measurement ◽  
Noise Prediction ◽  
Noise And Vibration ◽  
Gear Noise ◽  
Methods Of Calculation

The paper presents the literature for noise in gears. It includes the methods of calculation of gear noise, mathematical modeling for gear noise prediction. Also experimental methods to measure noise parameters. It is mainly divided into three parts “Causes of Noise”, “Mathematical modeling”, “Noise measurement”. Mathematical models consisting of gear noise prediction is useful in order to design gear box with less noise. Noise and vibration measurement and signal analysis are important tools when experimentally investigating gear noise gears create noise at specific frequencies, related to number of teeth and the rotational speed of the gear.

The Research of Gear Reducer Fault Diagnosis in Coal Mine

2011 ◽  
Vol 121-126 ◽  
pp. 3627-3631
Author(s):  
Jun Zhang ◽  
Guang Hui Xue ◽  
Miao Wu
Keyword(s):  
Fault Diagnosis ◽  
Coal Mine ◽  
Signal Analysis ◽  
Vibration Signal ◽  
The State ◽  
Vibration Measurement ◽  
Signal Acquisition ◽  
Vibration Signal Analysis

According to the detection and monitoring requirements of the mechanical equipments used in coal mine, this paper achieves the state signal acquisition of the mechanical equipments in coal mine by using self-research portable intrinsically safe recorder of vibration measurement used in cool mine, and uses the vibration signal analysis technology to analyze the obtain signal, actualizing the running condition detection and monitoring of the mechanical equipments in coal mine. This paper presents a method for fault diagnosis of the gear reducer in coal mine.

A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring

2020 ◽  
pp. 129-139
Author(s):  
Weihai Sun ◽  
Lemei Han
Keyword(s):  
Fault Detection ◽  
Signal Analysis ◽  
Energy Analysis ◽  
Detection Method ◽  
Sound Signal ◽  
Practical Significance ◽  
Time Frequency ◽  
Detection Approach ◽  
Machine Fault ◽  
Learning Data

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.

Diagnostic System of Gravitational Solid Flow Based on Weight and Accelerometer Signal Analysis Using Wireless Data Transmission Technology

2012 ◽  
Vol 17 (4) ◽  
pp. 319-326 ◽  
Author(s):  
Zbigniew Chaniecki ◽  
Krzysztof Grudzień ◽  
Tomasz Jaworski ◽  
Grzegorz Rybak ◽  
Andrzej Romanowski ◽  
...  
Keyword(s):  
Signal Analysis ◽  
Scale Up ◽  
Three Dimensional ◽  
Diagnostic System ◽  
Wireless Data ◽  
Stick Slip ◽  
Wireless Data Transmission ◽  
Accelerometer Signal ◽  
Flow Investigation ◽  
Material Information

Abstract The paper presents results of the scale-up silo flow investigation in based on accelerometer signal analysis and Wi-Fi transmission, performed in distributed laboratory environment. Prepared, by the authors, a set of 8 accelerometers allows to measure a three-dimensional acceleration vector. The accelerometers were located outside silo, on its perimeter. The accelerometers signal changes allowed to analyze dynamic behavior of solid (vibrations/pulsations) at silo wall during discharging process. These dynamic effects are caused by stick-slip friction between the wall and the granular material. Information about the material pulsations and vibrations is crucial for monitoring the interaction between silo construction and particle during flow. Additionally such spatial position of accelerometers sensor allowed to collect information about nonsymmetrical flow inside silo.

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