A Portable Detecting and Analytic Instrument of Vibration Signal

2012 ◽  
Vol 442 ◽  
pp. 305-308
Author(s):  
Jian Wei Li ◽  
Ling Wang ◽  
Hong Mei Zhang
Keyword(s):  
Frequency Domain ◽  
Virtual Instrument ◽  
Vibration Signal ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
Time Frequency ◽  
Notebook Computer ◽  
Usb Bus ◽  
Data Acquisition Card

It is often needed in engineering that detecting and analyzing vibration signal of some equipment. To meet the requirement, a portable detecting and analytic instrument was designed using virtual instrument concept. In the instrument, notebook computer was used as the platform of hardware. Vibration signal was obtained by integrated piezoelectric acceleration sensor (DTS0104T), and was transferred to a notebook computer through data acquisition card (NI USB-6210) based on USB bus. The software, running on the notebook computer, was developed under LabVIEW. Vibration signal could be displayed on screen, recorded in disk or printed by printer, retrieved, and analyzed. The analysis functions of the instrument include: time-domain analysis, frequency-domain analysis, time-frequency domain analysis, and correlation analysis. The instrument is compact, portable, powerful, and with friendly interfaces, has broad application prospects.

The Test and Time-Frequency Domain Analysis on Plant Electrical Signal Based on Virtual Instrument

2015 ◽  
Vol 738-739 ◽  
pp. 686-689
Author(s):  
Ling Ling Wang ◽  
Hong Xia Luo ◽  
Jian Hua Cao ◽  
Kun Lu ◽  
Ji Hua Fang ◽  
...  
Keyword(s):  
Frequency Domain ◽  
Virtual Instrument ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
Electrical Signal ◽  
Future Research ◽  
Comprehensive Treatment ◽  
Analysis Method ◽  
Time Frequency

We tried to obtain numbers of the plant electrical signal with the help of experiments. We made comprehensive treatment and analysis by using the time domain analysis method and frequency domain analysis method to the large numbers of data of the plant electrical signal. The experiment finds that that the plant electrical signal is a kind of low frequency,tiny and fairly stable signal. The features of plant electrical signals remarkably responsive to external stimuli. The measuring precision is limited in the test, so the conclusion only can be mined and used for for future research.

Analysis of Electrocardio Signal Based on Approximate Entropy

2012 ◽  
Vol 429 ◽  
pp. 195-199
Author(s):  
Xiao Lei Zhao ◽  
Ming Rong Ren ◽  
Ya Ting Zhang ◽  
Pu Wang
Keyword(s):  
Frequency Domain ◽  
Time Domain ◽  
Approximate Entropy ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
Spectrum Estimation ◽  
Transform Method ◽  
Time Frequency ◽  
Relationship Of

The research and detection of heart disease depends on the analysis of the characteristic of electrocardio signal. Current analysis methods mainly include: (1) time domain analysis is a common used approach. With experience learned by observation and calculation, researchers examine errors and interferences to calculate means and variances directly within time domain. Analysis quality of this method demands higher request for researchers’ experience and skill although it’s a direct and significant result. (2) Frequency domain analysis, such as spectrum estimation, is largely applied to electrocardio signal researches and clinical applications. The analysis reflects abundant electrocardio activities, but failed to show details of the characteristics due to lack of time information. (3) time-frequency domain analysis describes energy density under different time and frequency of electrocardio signal at one time. It clarifies the relationship of signal frequency’s changing along with time such as wavelet transform method. (4) Nonlinear analysis is generally applied to biomedicine signal research in recent years. Correlation dimension, kolmogorov entropy, lyapunov component are major research methods to estimate some nonlinear dynamic parameters to represent the characteristic of electrocardio signal.

scholarly journals Condition assessment of steel truss bridge using time frequency domain analysis

2016 ◽  
Vol 14 (2) ◽  
pp. 141-166
Author(s):  
Suresh Walia ◽  
Raj Patel ◽  
Hemant Vinayak ◽  
Raman Parti
Keyword(s):  
Frequency Domain ◽  
3D Visualization ◽  
Vibration Signal ◽  
Domain Analysis ◽  
Condition Assessment ◽  
Frequency Domain Analysis ◽  
Mode Shapes ◽  
Steel Bridge ◽  
Damage State ◽  
Time Frequency

In the present article the work is carried out on scaled modeled bridge for condition assessment due to seeded damage. The objective is to find the location of damage in the steel bridge using vibration signal. For the differentiation between damage and intact condition, time, frequency domain analysis has been used. Power spectral density has been applied to the vibration signal to extract the mode shapes and compare between healthy and damage state of the modeled. Further, Short Time Fourier Transform gives the 3D visualization of amplification in different mode of vibration which helps to identify the damage location. Using nodal energy approach, Wavelet Packet Transform has been used to determine the location of damage, which is superior than the frequency and time domain analysis parameters.

Research on the Integrated Testing System for Machine Parameters

2011 ◽  
Vol 63-64 ◽  
pp. 804-807
Author(s):  
Gao Hua Liao ◽  
De Hui Liu
Keyword(s):  
Data Acquisition ◽  
Modal Analysis ◽  
Virtual Instrument ◽  
Low Cost ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
High Rate ◽  
Testing System ◽  
Data Acquisition Card

A virtual instrument which has the function of data acquisition, displaying and saving, time domain analysis, frequency domain analysis and so on is developed successfully. It combines the developed VI software Labview with the software Star for modal analysis，and makes program for controlling the data acquisition card，to generate a file with a fixed data format，and applies this file in Star System to complete the experiment of modal analysis. In using VI (virtual instrument) for modal analysis of mechanical structure the system realizes data collection、save、display、analysis and processing. From actual working we can make a conclusion that it has the advantage of low-cost, stability, high rate, efficiency and reliability.

scholarly journals Analysis of Three-Phase Wye-Delta Connected LLC

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3606
Author(s):  
Jing-Yuan Lin ◽  
Chuan-Ting Chen ◽  
Kuan-Hung Chen ◽  
Yi-Feng Lin
Keyword(s):  
Frequency Domain ◽  
Time Domain ◽  
Operation Time ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
Complete Analysis ◽  
Plane Analysis ◽  
Analysis Methods ◽  
Three Phase

Three-phase wye–delta LLC topology is suitable for voltage step down and high output current, and has been used in the industry for some time, e.g., for server power and EV charger. However, no comprehensive circuit analysis has been performed for three-phase wye–delta LLC. This paper provides complete analysis methods for three-phase wye–delta LLC. The analysis methods include circuit operation, time domain analysis, frequency domain analysis, and state–plane analysis. Circuit operation helps determine the circuit composition and operation sequence. Time domain analysis helps understand the detail operation, equivalent circuit model, and circuit equation. Frequency domain analysis helps obtain the curve of the transfer function and assists in circuit design. State–plane analysis is used for optimal trajectory control (OTC). These analyses not only can calculate the voltage/current stress, but can also help design three-phase wye-delta connected LLC and provide the OTC control reference. In addition, this paper uses PSIM simulation to verify the correctness of analysis. At the end, a 5-kW three-phase wye–delta LLC prototype is realized. The specification of the prototype is a DC input voltage of 380 V and output voltage/current of 48 V/105 A. The peak efficiency is 96.57%.

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