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Parametric time-domain methods for non-stationary random vibration modelling and analysis — A critical survey and comparison

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TLDR
A critical survey and comparison ofparametric time-domain methods for non-stationary random vibration modelling and analysis based upon a single vibration signal realization confirms the advantages and high performance characteristics of parametric methods.
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This article is published in Mechanical Systems and Signal Processing.The article was published on 2006-05-01. It has received 246 citations till now. The article focuses on the topics: Parametric statistics & Random vibration.

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Citations
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Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples

TL;DR: A systematic review of over 20 major time-frequency analysis methods reported in more than 100 representative articles published since 1990 can be found in this article, where their fundamental principles, advantages and disadvantages, and applications to fault diagnosis of machinery have been examined.
Journal ArticleDOI

State Feedback Stabilization for Boolean Control Networks

TL;DR: A general control design approach is proposed when global stabilization is feasible via state feedback, and instead of designing the logical form of a stabilizing feedback law directly, it is suggested that its algebraic representation should be constructed and then converted to logical form.
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Time-series methods for fault detection and identification in vibrating structures

TL;DR: An overview of the principles and techniques of time-series methods for fault detection, identification and estimation in vibrating structures is presented, and certain new methods are introduced.
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Vibro-acoustic condition monitoring of Internal Combustion Engines: A critical review of existing techniques

TL;DR: In this article, a review of the state-of-the-art strategies and techniques based on vibro-acoustic signals that can monitor and diagnose malfunctions in Internal Combustion Engines (ICEs) under both test bench and vehicle operating conditions is presented.
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Parametric identification of a time-varying structure based on vector vibration response measurements ☆

TL;DR: In this article, a functional series vector time-dependent autoregressive moving average (FS-VTARMA) method is introduced and employed for the identification of a "bridge-like" laboratory structure consisting of a beam and a moving mass.
References
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Book

Random vibration and statistical linearization

TL;DR: In this paper, a comprehensive account of statistical linearization with related techniques allowing the solution of a very wide variety of practical non-linear random vibration problems is given, and the principal value of these methods is that they are readily generalized to deal with complex mechanical and structural systems and complex types of excitation such as earthquakes.
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Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography

TL;DR: The application of the wavelet transform for machine fault diagnostics has been developed for last 10 years at a very rapid rate as mentioned in this paper, and a review on all of the literature is certainly not possible.
Book

Smoothness priors analysis of time series

TL;DR: In this article, the Akaike AIC is used to evaluate Parametric Models and to estimate the probability of a smooth trend in a time series, and the AIC can be used for time series analysis.