Development and Application of Portable Mining Vibration Recorder

2013 ◽  
Vol 345 ◽  
pp. 108-111 ◽  
Author(s):  
Guang Hui Xue ◽  
Jun Zhang ◽  
Xiao Dong Ji ◽  
Xin Ying Zhao
Keyword(s):  
Software Design ◽  
Coal Mine ◽  
Coal Dust ◽  
Vibration Signal ◽  
Sampling Frequency ◽  
Explosive Mixture ◽  
Analog Input ◽  
Vibration Data ◽  
Vibration Detection ◽  
Continuous Working

t has been a bottleneck for the application of vibration-related techniques in the coal mine that the vibration data cannot be acquired due to lack of mining vibration instrument. This paper discussed the development of a portable mining vibration recorder, introduced its overall scheme, as well as its hardware and software design in detail. The developed recorder is a coal mine intrinsically safety instrument based on ARM system, with features of 4 channels analog input, 2GB large volume storage memory, 250kHz sampling frequency, no less than 3.5h full-payload continuous working time with battery supply, fitted to record and deposit the vibration signal of the equipment in atmospheres with methane and coal dust explosive mixture. The authors carried out a series of testing application in ChengZhuang coal mine. The experimental results show that the data acquired by the recorder is true and valid. Study provides an instrumental basis of apparatus to carry out the supervision of machine based on vibration detection in coal mine.

A Compression Algorithm for Vibration Signal of Rotating Machinery Based on Partitioned Iterated Function Systems

2010 ◽  
Vol 139-141 ◽  
pp. 1718-1722
Author(s):  
Jian Li ◽  
Chun Liang Zhang ◽  
Xia Yue
Keyword(s):  
Computation Time ◽  
Vibration Signal ◽  
Iterated Function Systems ◽  
Sampling Frequency ◽  
Information Loss ◽  
Rotating Machinery ◽  
Compression Algorithm ◽  
Vibration Data ◽  
Iterated Function

The partitioned iterated function systems (PIFS) were introduced into the compression of vibration signal. The actual vibration data of ZLH600-2 pump were adopted to verify the performance of PIFS. Also the compression ratios and the computation time were good, but the spectrum and amplitude, as important performances, were deformed after compression. If the concerned frequency of users was significantly lower than the sampling frequency and the required compression ratios was not more than 2, the compression using PIFS in vibration signal of rotating machinery was comfortable. Otherwise, the information loss in the compression could not be ignored. The decoded signals with the different compression parameters were listed in the paper and it was a meaningful exploration of the IFS on diagnosis and laid the foundation for further research.

scholarly journals Vibration analysis based on the spectrum kurtosis for adjustment and monitoring of ball bearing radial clearance

2018 ◽  
Vol 211 ◽  
pp. 06006 ◽  
Author(s):  
Anthimos Georgiadis ◽  
Xiaoyun Gong ◽  
Nicolas Meier
Keyword(s):  
Signal Analysis ◽  
Vibration Signal ◽  
Radial Clearance ◽  
Spectral Kurtosis ◽  
Vibration Data ◽  
Bearing Clearance ◽  
Bearing Condition Monitoring ◽  
Bearing Vibration ◽  
Vibration Signal Analysis

Vibration signal analysis is a common tool to detect bearing condition. Effective methods of vibration signal analysis should extract useful information for bearing condition monitoring and fault diagnosis. Spectral kurtosis (SK) represents one valuable tool for these purposes. The aim of this paper is to study the relationship between bearing clearance and bearing vibration frequencies based on SK method. It also reveals the effect of the bearing clearance on the bearing vibration characteristic frequencies This enables adjustment of bearing clearance in situ, which could significantly affect the performance of the bearings. Furthermore, the application of the proposed method using SK on the measured data offers useful information for predicting bearing clearance change. Bearing vibration data recorded at various clearance settings on a floating and a fixed bearing mounted on a shaft are the basis of this study

Research of the Vertical Vibrations of Tandem Mill Based on Wavelet Analysis

2015 ◽  
Vol 724 ◽  
pp. 279-282
Author(s):  
Chun Hua Ren ◽  
Xu Ma ◽  
Ze Ming Li ◽  
Yan Hong Ding
Keyword(s):  
Wavelet Analysis ◽  
Wavelet Decomposition ◽  
Vibration Signal ◽  
Vertical Vibration ◽  
Rolling Speed ◽  
Vibration Data ◽  
Signal Features ◽  
Operating Side ◽  
Vertical Vibrations ◽  
Vibration Parameters

In this paper, the defect sheet was captured coincidentally. According to the defective product’s characteristics, we suspected to be caused by the vertical vibration of the roll. When the rolling speed reached a certain value, the vibration of the fourth stand can be feel. The experiment of the vibration data collection was taken to compare the vibration parameters of rolling operating side with those of drive side by wavelet analysis. The result states that the abnormal vibration signal features can be extracted in a special frequency segment of wavelet decomposition, and the vibration frequency to the roll is confirmed which appeared product defects.

FFT Analysis Using LabView as a Part of Vibration and Preventive Maintenance Class for Senior Level MET students

2005 ◽  
Author(s):  
Aniruddha Mitra ◽  
Sahana Sen
Keyword(s):  
Preventive Maintenance ◽  
Laboratory Experiments ◽  
Vibration Signal ◽  
Engineering Technology ◽  
Technology Program ◽  
Student Activities ◽  
Labview Software ◽  
Vibration Data ◽  
Set Up ◽  
Fft Analysis

An existing senior level elective course on vibration in Mechanical Engineering Technology program at Georgia Southern University has been modified significantly. Two major components have been added to this course. Those are theoretical topics on preventive maintenance and laboratory experiments. As a part of laboratory experiments, Fast Fourier Transform (FFT) was introduced as a possible tool for vibration analysis for the purposes of machine diagnosis. Utilizing the current laboratory set up for the data acquisition systems, LabView software has been used for FFT analysis of signals from various sources. Four different modules were developed and implemented. The modules are as follows: random variation in acceleration of a toy cart due to roughness of the track and pulley, regular uniform wave signal which is generated by the lateral vibration of a cantilever beam at its natural frequency, signal generated by the imported raw data from other sources (e.g. MATLAB) and vibration signal of a shaft mounted on ball bearings in order to detect the defects in the bearing. Each of these modules is illustrated in this paper with suitable examples and suggested student activities and involvements. The results from FFT analysis have been cross checked using other methods and observations. As a follow up, students have been taken to a local industry where significant amount of emphasis is given to preventive maintenance of machineries by vibration data analysis using FFT. Future possible projects include the analysis of vibration data gathered from actual machine shop. This project opens the scope for greater collaborative effort between local industries and classroom activities.

Experiment study on the propagation laws of gas and coal dust explosion in coal mine

2009 ◽  
Vol 15 (3) ◽  
pp. 262-266 ◽  
Author(s):  
Rong-jun Si ◽  
Run-zhi Li ◽  
Lei Wang ◽  
Zi-ke Wu
Keyword(s):  
Coal Mine ◽  
Coal Dust ◽  
Dust Explosion ◽  
Experiment Study

Research of Ni-Mn-Ga Shape Memory Alloy Based Mechanical Vibration Detection Device

2014 ◽  
Vol 1006-1007 ◽  
pp. 845-848
Author(s):  
Yong Zhi Cai
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Mechanical Vibration ◽  
Vibration Signal ◽  
Experimental Results ◽  
Vibration Measurements ◽  
Vibration Detection ◽  
Vibration Sensing

The study explores the vibration sensing effect of Ni-Mn-Ga shape memory alloy, based on the experimental results, researched the characteristics of this alloy applied in mechanical vibration signal sensors, and describes the feasibility of this alloy used for vibration measurements.

The Software Design of Underground Mine Personnel Management System

2013 ◽  
Vol 373-375 ◽  
pp. 1763-1767
Author(s):  
Si Hai Zhao ◽  
Wei Kang Dong ◽  
Ge Guo ◽  
Ji Ye Gao
Keyword(s):  
National Security ◽  
Personnel Management ◽  
Software Design ◽  
Coal Mine ◽  
Management System ◽  
Can Bus ◽  
Industrial Ethernet ◽  
Database Structure ◽  
Design Software ◽  
Personnel Management System

According to the requirements of National security Supervision department,aimed at the low safety factor and the backward of personnel management, a coal mine underground personnel management system has been developed. The system adopted the Industrial Ethernet and CAN bus for transmission medium, disposed and managed the data from substation in time. This article introduced the framework of Design software and the main functions module of the software and database structure.

Surface Roughness Prediction Model of Cylinder Grinding

2012 ◽  
Vol 157-158 ◽  
pp. 123-126 ◽  
Author(s):  
Ning Ding ◽  
Yi Chen Wang ◽  
Ding Tong Zhang ◽  
Yu Xiang Shi ◽  
Jian Shi
Keyword(s):  
Neural Network ◽  
Surface Roughness ◽  
Prediction Model ◽  
Fuzzy Neural Network ◽  
Vibration Signal ◽  
Feed Speed ◽  
Vibration Data ◽  
Proposed Model ◽  
Fuzzy Neural ◽  
Roughness Prediction

Based on the theory of roughness during cylinder grinding and the theory of fuzzy-neural network, a surface roughness intelligent prediction model is developed in this paper. The feed, speed, and the vibration data are the inputs for the model. An accelerometer is used to gather the vibration signal in real time. The model is used in the grinding experiment, and verifies the feasibility of the proposed model.

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