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.

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.

Parametric Time-Frequency Map and its Processing for Local Damage Detection in Rotating Machinery

2013 ◽  
Vol 588 ◽  
pp. 214-222 ◽  
Author(s):  
Ryszard Makowski ◽  
Radoslaw Zimroz
Keyword(s):  
Damage Detection ◽  
Signal To Noise Ratio ◽  
Vibration Signal ◽  
Rotating Machinery ◽  
Time Varying ◽  
Local Damage ◽  
Time Frequency ◽  
Vibration Data ◽  
Novel Approach ◽  
Vibration Signal Analysis

The detection of local damage in rotating machinery (gears, bearings) via vibration signal analysis is one of the most powerful techniques in condition monitoring. However, in some cases, especially in heavy industrial machinery, it is difficult to detect damage because of the poor signal-to-noise ratio of the measured vibration. Therefore it is necessary to use unconventional advanced techniques to enhance the signal. In this paper, a novel approach based on parametric time-frequency analysis and further processing for: i) time-varying spectral content modelling, ii) the identification of informative frequency bands by statistical analysis, iii) local damage detection and iv) cycle identification via cepstral analysis, is presented. The proposed procedure is validated using real vibration data from bearings and gearboxes. It is worth noting that this methodology can be also successfully used in time-varying speed conditions (with limited fluctuation).

scholarly journals Hausdorff measure and Assouad dimension of generic self-conformal IFS on the line

2020 ◽  
pp. 1-31
Author(s):  
Balázs Bárány ◽  
Károly Simon ◽  
István Kolossváry ◽  
Michał Rams
Keyword(s):  
Hausdorff Measure ◽  
Similar Case ◽  
Iterated Function Systems ◽  
The Self ◽  
Dimensional Hausdorff Measure ◽  
Assouad Dimension ◽  
Iterated Function ◽  
Self Similar ◽  
Weak Separation ◽  
Topological Sense

This paper considers self-conformal iterated function systems (IFSs) on the real line whose first level cylinders overlap. In the space of self-conformal IFSs, we show that generically (in topological sense) if the attractor of such a system has Hausdorff dimension less than 1 then it has zero appropriate dimensional Hausdorff measure and its Assouad dimension is equal to 1. Our main contribution is in showing that if the cylinders intersect then the IFS generically does not satisfy the weak separation property and hence, we may apply a recent result of Angelevska, Käenmäki and Troscheit. This phenomenon holds for transversal families (in particular for the translation family) typically, in the self-similar case, in both topological and in measure theoretical sense, and in the more general self-conformal case in the topological sense.

Sign in / Sign up

Export Citation Format

Share Document