Titlebook: Structural Health Monitoring; An Advanced Signal P Ruqiang Yan,Xuefeng Chen,Subhas Chandra Mukhopadhy Book 2017 Springer International Publ

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Bivariate Empirical Mode Decomposition and Its Applications in Machine Condition Monitoring,er- and Wavelet-transform based methods, Empirical Mode Decomposition (EMD) has been widely accepted as a favored tool for interpreting nonlinear, non-stationary signals, which are often associated with the occurrence of faults or variable operations of rotating machinery. In this chapter, the funda

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On the Use of Stochastic Resonance in Mechanical Fault Signal Detection, used in weak signal detection under heavy noise circumstances. In order to extract characteristic fault signal of the dynamic mechanical components, SR normalized scale transform is presented and a circuit module is designed based on parameter-tuning bistable SR. Weak signal detection based on stoc

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2194-8402 rdisciplinary areas, such as smart materials, sensors and acThis book highlights the latest advances and trends in advanced signal processing (such as wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing and sparse representation, and stochastic resonance) for s

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Signal Post-processing for Accurate Evaluation of the Natural Frequencies,sely the natural frequencies, even for damages in early stage. The algorithm was tested on generated and real-world signals and was proved to work well, even in the case of fast damped or short signals.

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Wavelet Transform Based on Inner Product for Fault Diagnosis of Rotating Machinery, WT based on inner product is introduced. The construction and applications of major developments on adaptive multiwavelet in RMFD are presented. Finally, super wavelet transform as an important prospect of WT based on inner product are presented and discussed.

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Fault Diagnosis of Rotating Machinery Based on Empirical Mode Decomposition,heories about EMD methods and improved EMD methods. Moreover, the applications of EMD methods and improved EMD methods in fault diagnosis of common and key components of rotating machinery, like rotors, gears and rolling element bearings, are described in details.

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