Journal ArticleDOI
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.About:
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.read more
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.
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State Feedback Stabilization for Boolean Control Networks
Rui Li,Meng Yang,Tianguang Chu +2 more
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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Journal ArticleDOI
Spectral analysis for non-stationary signals from mechanical measurements: a parametric approach
TL;DR: In this article, the analysis of non-stationary signals of interest in mechanics, and more specifically, more specifically non-parametric time-frequency methods for spectral estimation, has been investigated.
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Non-stationary functional series tarma vibration modelling and analysis in a planar manipulator
TL;DR: The study demonstrates the facets and capabilities of the Functional Series T ARMA method for non-stationary vibration analysis, indicating that the TARMA model's direct relationship with the underlying physical system constitutes an important asset of the method.
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Spectral generating operators for non-stationary processes
TL;DR: In this paper, a new method for obtaining spectral-like representations for a large class of non-stationary random processes is formulated, where the spectral representation is generated by a self-adjoint operator H such that X(t)= eiHt X(0).
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Adaptive autoregressive modeling of non-stationary vibration signals under distinct gear states. Part 1: modeling
Yimin Zhan,A.K.S. Jardine +1 more
TL;DR: In this paper, the authors proposed three adaptive parametric models transformed from time-varying vector-autoregressive model with their parameters estimated by means of noise-adaptive Kalman filter, extended KF and modified KF, respectively on the basis of different assumptions.