3D spectral analysis for UGV in analyzing vibration signal

INTERACT-2010 ◽  
2010 ◽  
Author(s):  
K. Yavanarani ◽  
K. Sekar ◽  
G. S. Simon Sundara Raj ◽  
S. Sheena Christabel
Keyword(s):  
Spectral Analysis ◽  
Vibration Signal

scholarly journals Application of the Goertzel’s algorithm in the airgap mixed eccentricity fault detection

2015 ◽  
Vol 12 (1) ◽  
pp. 17-32 ◽  
Author(s):  
Dejan Reljic ◽  
Josif Tomic ◽  
Zeljko Kanovic
Keyword(s):  
Spectral Analysis ◽  
Real Time ◽  
Induction Motor ◽  
Low Cost ◽  
Vibration Signal ◽  
Computational Effort ◽  
Current Signal ◽  
Three Phase ◽  
Vibration Signal Analysis ◽  
Cage Induction Motor

In this paper, a suitable method for the on-line detection of the airgap mixed eccentricity fault in a three-phase cage induction motor has been proposed. The method is based on a Motor Current Signature Analysis (MCSA) approach, a technique that is often used for an induction motor condition monitoring and fault diagnosis. It is based on the spectral analysis of the stator line current signal and the frequency identification of specific components, which are created as a result of motor faults. The most commonly used method for the current signal spectral analysis is based on the Fast Fourier transform (FFT). However, due to the complexity and memory demands, the FFT algorithm is not always suitable for real-time systems. Instead of the whole spectrum analysis, this paper suggests only the spectral analysis on the expected airgap fault frequencies employing the Goertzel?s algorithm to predict the magnitude of these frequency components. The method is simple and can be implemented in real-time airgap mixed eccentricity monitoring systems without much computational effort. A low-cost data acquisition system, supported by the LabView software, has been used for the hardware and software implementation of the proposed method. The method has been validated by the laboratory experiments on both the line-connected and the inverter-fed three-phase fourpole cage induction motor operated at the rated frequency and under constant load at a few different values. In addition, the results of the proposed method have been verified through the motor?s vibration signal analysis.

scholarly journals Vibrations Detection in Industrial Pumps Based on Spectral Analysis to Increase Their Efficiency

2016 ◽  
Vol 21 (1) ◽  
pp. 55-61
Author(s):  
Belhadef Rachid ◽  
Ahmed Hafaifa ◽  
Mohamed Boumehraz
Keyword(s):  
Spectral Analysis ◽  
Fourier Transform ◽  
Centrifugal Pump ◽  
Preventive Maintenance ◽  
Vibration Analysis ◽  
Vibration Signal ◽  
Rotating Machinery ◽  
Signal Estimation ◽  
Vibration Signals ◽  
Vibration Detection

Abstract Spectral analysis is the key tool for the study of vibration signals in rotating machinery. In this work, the vibration analysis applied for conditional preventive maintenance of such machines is proposed, as part of resolved problems related to vibration detection on the organs of these machines. The vibration signal of a centrifugal pump was treated to mount the benefits of the approach proposed. The obtained results present the signal estimation of a pump vibration using Fourier transform technique compared by the spectral analysis methods based on Prony approach.

scholarly journals Determination of Spectral Characteristics in a Vibration Sensor Microcircuit

2020 ◽  
Vol 9 (3) ◽  
pp. 2044-2050
Keyword(s):  
Spectral Analysis ◽  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Integrated Circuit ◽  
Spectral Characteristics ◽  
Digital Signal ◽  
Vibration Signal ◽  
Vibration Sensor ◽  
Signal Processing Algorithms

This article discusses aspects of the implementation of digital signal processing algorithms in devices with multifunctional diagnostics of bearing assemblies in integrated-circuit form. The possibility of applying the effective implementation of spectral analysis algorithms on a defined basis is considered. The structural flow chart of the filter which performs Goertzel transformation and schemes for implementation of the fast Fourier transform unit is shown. To solve these problems in Matlab environment were developed mathematical models of Goertzel filter of fast Fourier transform unit was simulated operation of these units for specifying of parameters and evaluation of achieved characteristics. After the evaluation of simulation results, 2 types of spectral analysis units were developed: Goertzel transformation units for accurate calculations and fast Fourier transform units for analysis during the whole operating band. The created units of spectral analysis make it possible to efficiently solve the problems of bearing diagnostics, obtain information on the video spectrum of the vibration signal in the full frequency band and at the same time to determine the exact value or vibration levels at the characteristic frequencies.

scholarly journals DEVELOPMENT OF A DEVICE FOR MEASURING AND ANALYZING VIBRATIONS

2021 ◽  
Vol 11 (2) ◽  
pp. 48-51
Author(s):  
Anzhelika Stakhova ◽  
Volodymyr Kvasnikov
Keyword(s):  
Operating System ◽  
Spectral Analysis ◽  
Personal Computer ◽  
Vibration Analysis ◽  
Piezoelectric Effect ◽  
Vibration Signal ◽  
Technical Condition ◽  
Vibration Diagnostics ◽  
Direct Piezoelectric Effect ◽  
Urgent Task

It is known that vibration is generated to one degree or another by all moving parts of machines. Vibration processes arising in the process of functioning of machines and equipment are highly informative, reflecting the technical condition of many parts and assemblies quite fully. Therefore, the use of vibration diagnostics systems makes it possible to determine a defect even at the stage of inception, thereby excluding emergency stops of machinery. An urgent task is to create a vibration analysis device, which consists of a sensor for measuring vibration, the principle of operation of which is based on the use of a direct piezoelectric effect. The output signal of the sensor will go to a personal computer or any other device with the Windows operating system, where a spectral analysis of the measured vibration signal is carried out using a Matlab-based diagnostic program.

Mapping and Spectral Analysis of Acoustic Vibration in the Scanning Area of the Weak Field Magnetic Resonance Imager

2014 ◽  
Vol 136 (5) ◽  
Author(s):  
Jiří Přibil ◽  
Anna Přibilová ◽  
Ivan Frollo
Keyword(s):  
Magnetic Field ◽  
Spectral Analysis ◽  
Magnetic Resonance ◽  
Vibration Signal ◽  
Acoustic Vibration ◽  
Weak Field ◽  
Vibration Sensor ◽  
Gradient Coil ◽  
Propagation Time ◽  
Scanning Area

The paper describes measurement and calculation of 2D distribution of the vibration signal originated by the gradient coil system of the magnetic resonance imaging (MRI) equipment. The measurement experiments were performed at the bottom plastic holder of the scanning area of the open-air weak magnetic field MRI device. Selection of a usable type of a vibration sensor for measurement in a magnetic field with low B0 up to 0.2 T is also discussed. Realized calibration of the chosen sensor (sensitivity and frequency response) together with determination of the propagation time delay between the excitation impulses and the subsequently generated vibration signal is mentioned, too. The picked-up vibration signal exhibits harmonic character so it is suitable to describe it by determined spectral properties and features. Obtained statistical results of spectral analysis will be used to improve image sharpening and reduction of the motion effect in the MR pictures of thin layer samples and phantoms scanned by this MRI system.

Detection and localization of isolated wear bearing faults of rotating machinery by spectral analysis

2013 ◽  
Vol 10 (6) ◽  
pp. 565-572
Author(s):  
N. Menasri ◽  
M. Zaoui ◽  
A. Bouchoucha
Keyword(s):  
Spectral Analysis ◽  
Vibration Analysis ◽  
Acoustic Analysis ◽  
Power Transmission ◽  
Vibration Signal ◽  
The Body ◽  
Systematic Analysis ◽  
Lubricant Analysis ◽  
Strategic Role ◽  
Envelope Spectrum

Rotating machines play a strategic role in a manufacturing process, and it is the case of a cement mill. These machines are composed of fragile bodies (bearings and gears, etc.) subjected to mechanical stress and harsh industrial environment.Sources of failure are many; the wear and the spalling of bearing, the wear and fracture of a tooth of a gear, the misalignment of the axes, etc. To avoid unexpected downtime and costly, those bodies must be monitored continuously. There are several ways to do that; vibration analysis, lubricant analysis, infrared thermography and acoustic analysis. Vibration analysis (frequency) is most often used by operating a signal from an accelerometer. Whenever a fault participated in a contact, it changed the vibration characteristics of the system. By analyzing the acceleration measurements from an accelerometer, we can identify and quantify these changes in order to establish a relationship between the measures and the type of defect, which will be used as signatures for fault diagnosis system. In a system of power transmission (gear unit of a cement mill) the frequency of occurrences of faults can be known from the geometry and kinematics of the system.This article deals with the detection of bearing defects isolated in a gear unit of a cement mill by spectral analysis of vibration; which based on a systematic analysis spectral and envelope spectrum of vibration signal for the presence of images of all vibrational defects may affect the body in question.

A review of spectral analysis for low-frequency transient vibrations

2020 ◽  
pp. 146134842094200
Author(s):  
Chin-Tsun Chen ◽  
Luh-Maan Chang ◽  
Chin-Hsiung Loh
Keyword(s):  
Spectral Analysis ◽  
High Speed ◽  
Vibration Isolation ◽  
Measurement Data ◽  
Low Frequency ◽  
Vibration Signal ◽  
Spectral Amplitude ◽  
High Tech ◽  
Low Frequency Vibration ◽  
Time Period

The precision tools equipped with active vibration isolation platform in high-tech facilities are sensitive to low-frequency vibration. Currently, there are neither standards nor rules to select the time period of vibration data for conducting the spectral analysis of low-frequency vibration, and none of the analyses can be used to compare and discuss the differences of spectral amplitude generated by the selection of different time periods. Therefore, to estimate the amplitude of low-frequency vibration, the spectral analysis at low-frequency range is crucial. This paper is to elaborate the spectral analysis procedures on various band widths by using zero-padding on the vibration signal in low-frequency band. The mechanism not only facilitates to obtain more reliable result but also to lay a common base for comparison from different user. Finally, the in situ measurement data, including high-speed train-induced low-frequency vibration, are used to exemplify the length of time period affects the results of spectral analysis, either on narrowband or one-third octave band analysis.

The Spectral Analysis of Vibration Signal on Wire Bonder

2011 ◽  
Vol 105-107 ◽  
pp. 263-266
Author(s):  
Xue Jun Lu ◽  
Zhi Gao Wang
Keyword(s):  
Spectral Analysis ◽  
Data Analysis ◽  
Working Condition ◽  
Vibration Signal ◽  
Data Acquisition System ◽  
Local Vibration ◽  
Vibration Signals ◽  
Main Frequency ◽  
Vibration Sensors

This paper discusses the method of vibration spectral analysis to get characters of wire bonder, based on the work principle and character of wire bonder. Vibration signals are acquired by vibration sensors, and Dewetron data-acquisition system has been used for the data analysis to get spectrum. From the spectrum of vibration signal, the main frequency and corresponding amplitude have been acquired. Amplitude of main frequency at different working condition on the same machine is compared by figures. The results show that machine 1&2 has almost the same vibration at the workbench, although machine 2 has bigger local vibration than machine 1. It can be concluded that the much bigger local vibration has less effect on the quality of parts in this case.

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