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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 6    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 6,June 2012
Performance analysis of life time efficiency of Machines using Wavelet Transform Modulus Maxima
Full Text(PDF, )  PP.140-143  
Author(s)
Dr.P.Venkatakrishnan, S.Sangeetha, M.Muthukumaran
KEYWORDS
Singularity analysis; Wavelet and Lipschitz exponent
ABSTRACT
Machinery health monitoring is a key step in the implementation of maintenance in industry. A remarkable property of the wavelet transform is its ability to characterize the local regularity of machines. In mathematics, this local regularity is often measured with Lipschitz exponents (LE). The singularity, by means of a Lipschitz exponent of a function, is measured by taking a slope of a log-log plot of scales and wavelet coefficients along modulus maxima lines of a wavelet transform [1]. In this paper, we applied singularity analysis with wavelet for data processing and a new concept, Lipschitz exponent function, was proposed based on wavelet transform. The results show that objective based LE demonstrates excellent performance.
References
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