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Journal articles on the topic 'Frequency-domain criterion'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Verriest, Erik I. "Frequency domain stability criterion for discrete delay systems." IFAC Proceedings Volumes 34, no. 23 (2001): 107–10. http://dx.doi.org/10.1016/s1474-6670(17)32874-4.

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2

Yang, B., and C. D. Mote. "Frequency-Domain Vibration Control of Distributed Gyroscopic Systems." Journal of Dynamic Systems, Measurement, and Control 113, no. 1 (1991): 18–25. http://dx.doi.org/10.1115/1.2896350.

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A new method is presented for vibration control of distributed gyroscopic systems. The control is formulated in the Laplace transform domain. The transfer function of a closed-loop system, consisting of the plant, a feedback control law and the dynamics of the sensing and actuation devices, is derived. Stability analyses of the closed-loop system use both the root locus method and the generalized Nyquist criterion. Two stability criteria are obtained. Design of stabilizing controllers is carried out for both colocation and noncolocation of the sensor and actuator. The effects of time-delay and

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3

SHIMAMURA, Tetsuya, and Jouji SUZUKI. "Spectral Matching Method Based on Positive Frequency Domain Criterion." Transactions of the Society of Instrument and Control Engineers 28, no. 2 (1992): 287–89. http://dx.doi.org/10.9746/sicetr1965.28.287.

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4

Dhaene, T., Z. Martens, and D. De Zutter. "Extended Bennia-Riad criterion for iterative frequency-domain deconvolution." IEEE Transactions on Instrumentation and Measurement 43, no. 2 (1994): 176–80. http://dx.doi.org/10.1109/19.293416.

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5

Marceau, R. J., J. C. Rizzi, and R. Mailhot. "A frequency-domain transient stability criterion for normal contingencies." IEEE Transactions on Power Systems 10, no. 3 (1995): 1627–34. http://dx.doi.org/10.1109/59.466478.

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6

Mulder, Wim A., Marwan Wirianto, and Evert C. Slob. "Time-domain modeling of electromagnetic diffusion with a frequency-domain code." GEOPHYSICS 73, no. 1 (2008): F1—F8. http://dx.doi.org/10.1190/1.2799093.

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We modeled time-domain EM measurements of induction currents for marine and land applications with a frequency-domain code. An analysis of the computational complexity of a number of numerical methods shows that frequency-domain modeling followed by a Fourier transform is an attractive choice if a sufficiently powerful solver is available. A recently developed, robust multigrid solver meets this requirement. An interpolation criterion determined the automatic selection of frequencies. The skin depth controlled the construction of the computational grid at each frequency. Tests of the method ag

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7

Schmitt, Gabriele. "Frequency domain evaluation of circle criterion, Popov criterion and off-axis circle criterion in the MIMO case." International Journal of Control 72, no. 14 (1999): 1299–309. http://dx.doi.org/10.1080/002071799220272.

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8

Hurvich, Clifford M., and Scott L. Zeger. "A Frequency Domain Selection Criterion for Regression with Autocorrelated Errors." Journal of the American Statistical Association 85, no. 411 (1990): 705–14. http://dx.doi.org/10.1080/01621459.1990.10474931.

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9

Leonov, G. A. "Frequency-domain criterion for the absolute stability of nonlinear systems." Doklady Mathematics 90, no. 2 (2014): 654–56. http://dx.doi.org/10.1134/s1064562414060349.

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10

Zappa, G., A. Tesi, and A. Vicino. "A Frequency Domain Criterion for Feasible Parameter Set Recursive Bounding." IFAC Proceedings Volumes 27, no. 8 (1994): 515–20. http://dx.doi.org/10.1016/s1474-6670(17)47760-3.

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11

Zhu, Yucai. "A Frequency Domain Criterion for Mimo Model Order/Structure Selection." IFAC Proceedings Volumes 27, no. 8 (1994): 805–10. http://dx.doi.org/10.1016/s1474-6670(17)47808-6.

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12

Goh, C. J. "A Frequency Domain Analysis of Learning Control." Journal of Dynamic Systems, Measurement, and Control 116, no. 4 (1994): 781–86. http://dx.doi.org/10.1115/1.2899278.

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The convergence of learning control is traditionally analyzed in the time domain. This is because a finite planning horizon is often assumed and the analysis in time domain can be extended to time-varying and nonlinear systems. For linear time-invariant (LTI) systems with infinite planning horizon, however, we show that simple frequency domain techniques can be used to quickly derive several interesting results not amenable to time-domain analysis, such as predicting the rate of convergence or the design of optimum learning control law. We explain a paradox arising from applying the finite tim

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13

OGUCHI, TOSHIKI, and HENK NIJMEIJER. "A SYNCHRONIZATION CONDITION FOR COUPLED NONLINEAR SYSTEMS WITH TIME-DELAY: A FREQUENCY DOMAIN APPROACH." International Journal of Bifurcation and Chaos 21, no. 09 (2011): 2525–38. http://dx.doi.org/10.1142/s0218127411029902.

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This paper considers the synchronization problem for nonlinear systems with time-delay couplings. We assume that the error dynamics can be rewritten as a feedback connection of a linear delay system with multiple inputs and outputs and nonlinear elements which are decentralized and satisfy a sector condition. Then, we derive a synchronization condition for time-delay coupled systems by applying the multivariable circle criterion. Unlike the conventional synchronization criteria, the derived criterion is based on a frequency-domain stability condition and avoids the use of the Lyapunov–Krasovsk

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14

Mei, T., J. Xi, F. Yin, A. Mertins, and J. F. Chicharo. "Blind Source Separation Based on Time-Domain Optimization of a Frequency-Domain Independence Criterion." IEEE Transactions on Audio, Speech and Language Processing 14, no. 6 (2006): 2075–85. http://dx.doi.org/10.1109/tasl.2006.872623.

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15

Chait, Yossi, Clark J. Radcliffe, and C. R. MacCluer. "Frequency Domain Stability Criterion for Vibration Control of the Bernoulli-Euler Beam." Journal of Dynamic Systems, Measurement, and Control 110, no. 3 (1988): 303–7. http://dx.doi.org/10.1115/1.3152686.

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A new single-input single-output frequency domain stability criterion for distributed parameter systems is illustrated by application to feedback control of a Bernoulli-Euler beam. The system is modeled using an infinite partial fraction expansion, while the control design is based on a truncated model. The Nyquist plot is shown to lie within a “tube of uncertainty” of the plot for the truncated model. Several numerical examples illustrate the power and simplicity of this criterion.

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16

Damm, Tobias, and Birgit Jacob. "ON COERCIVITY AND THE FREQUENCY DOMAIN CONDITION IN INDEFINITE LQ-CONTROL." Annals of the Academy of Romanian Scientists Series on Mathematics and Its Application 12, no. 1-2 (2020): 553–63. http://dx.doi.org/10.56082/annalsarscimath.2020.1-2.553.

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We introduce a coercivity condition as a time domain analogue of the frequency criterion provided by the famous Kalman-YakubovichPopov lemma. For a simple stochastic linear quadratic control problem we show how the coercivity condition characterizes the solvability of Riccati equations.

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17

Sampaio, R. P. C., N. M. M. Maia, and J. M. M. Silva. "The Frequency Domain Assurance Criterion as a Tool for Damage Detection." Key Engineering Materials 245-246 (July 2003): 69–76. http://dx.doi.org/10.4028/www.scientific.net/kem.245-246.69.

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18

HAKVOORT, RICHARD G., and PAUL M. J. VAN DEN HOF. "Frequency domain curve fitting with maximum amplitude criterion and guaranteed stability." International Journal of Control 60, no. 5 (1994): 809–25. http://dx.doi.org/10.1080/00207179408921496.

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19

Šonc, Jaša, Klemen Zaletelj, and Janko Slavič. "Application of thermoelasticity in the frequency-domain multiaxial vibration-fatigue criterion." Mechanical Systems and Signal Processing 224 (January 2025): 112002. http://dx.doi.org/10.1016/j.ymssp.2024.112002.

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20

Kogan, Jacob, and A. Leizarowitz. "Frequency domain criterion for robust stability of interval time-delay systems." Automatica 31, no. 3 (1995): 463–69. http://dx.doi.org/10.1016/0005-1098(94)00079-x.

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21

HSU, HAN-WEN, and WEN-LIANG CHEN. "Design of delayed control systems using a simple frequency-domain criterion." International Journal of Systems Science 23, no. 4 (1992): 569–80. http://dx.doi.org/10.1080/00207729208949230.

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22

Arias-Trujillo, Juana, Rafael Blázquez, and Susana López-Querol. "Frequency-Domain Assessment of Integration Schemes for Earthquake Engineering Problems." Mathematical Problems in Engineering 2015 (2015): 1–18. http://dx.doi.org/10.1155/2015/259530.

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Although numerical integration is a technique commonly employed in many time-dependent problems, usually its accuracy relied on a time interval small enough. However, taking into account that time integration formulae can be considered to be recursive digital filters, in this research a criterion based on transfer functions has been employed to characterize a wide range of integration algorithms from a frequency approach, both in amplitude and in phase. By adopting Nyquist’s criterion to avoid the aliasing phenomena, a total of seven integration schemes have been reviewed in terms of accuracy

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23

Zhang, Yulai, Kueiming Lo, and Yang Su. "Convergence Analysis of EFOP Estimate Based on Frequency Domain Smoothing." Journal of Applied Mathematics 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/781856.

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The classic methods for frequency domain transfer function estimation such as the Empirical Transfer Function Estimate (ETFE) and cross spectral method do not work well when the noise signal is complex. Combines the time domain and frequency domain methods the Empirical Frequency-domain Optimal Parameter (EFOP) Estimate was presented. It could improve the precision of system's transfer function estimation and identification efficiency. The convergence of the EFOP based on frequency domain smoothing is investigated in this paper. The transfer function is weighted by a frequency window and the G

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24

Cao, Shunhua, and Stewart Greenhalgh. "2.5-D modeling of seismic wave propagation: Boundary condition, stability criterion, and efficiency." GEOPHYSICS 63, no. 6 (1998): 2082–90. http://dx.doi.org/10.1190/1.1444501.

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The modeling of 3-D wave propagation in media having only 2-D variation in the elastic properties—so‐called 2.5-D modeling—is achieved using the wavenumber transform, in which multiple 2-D problems are solved, each one associated with a different strike‐direction wavenumber [Formula: see text] We derived a 2.5-D transmitting boundary condition in the frequency domain, which has no simple representation in the time domain. It yields significantly improved results over existing boundary conditions. For time‐domain methods, attenuating boundary conditions must be applied. The 2.5-D stability crit

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25

Zhao, Yongdong, and Suhada Jayasuriya. "A Frequency Domain Criterion for Robustly Stabilizing a Family of Interval Plants." Journal of Dynamic Systems, Measurement, and Control 117, no. 1 (1995): 98–104. http://dx.doi.org/10.1115/1.2798529.

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Considered in this paper is the problem of robust stabilization of a family of interval plants by a single fixed compensator. A frequency domain sufficient condition determines the closed-loop stability. In particular if a specially constructed frequency function does not, at any frequency ω ∈ [0, ∞], intersect the box [−1, 1] × [−1, 1] in the complex plane then the entire closed loop family is stable. Also identified is a class of interval plants for which the sufficient condition in fact does become necessary.

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26

Sacchi, Mauricio D., Danilo R. Velis, and Alberto H. Comínguez. "Minimum entropy deconvolution with frequency‐domain constraints." GEOPHYSICS 59, no. 6 (1994): 938–45. http://dx.doi.org/10.1190/1.1443653.

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A method for reconstructing the reflectivity spectrum using the minimum entropy criterion is presented. The algorithm (FMED) described is compared with the classical minimum entropy deconvolution (MED) as well as with the linear programming (LP) and autoregressive (AR) approaches. The MED is performed by maximizing an entropy norm with respect to the coefficients of a linear operator that deconvolves the seismic trace. By comparison, the approach presented here maximizes the norm with respect to the missing frequencies of the reflectivity series spectrum. This procedure reduces to a nonlinear

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27

Mu, Da Zhong, Zhi Hong Dong, and Ming Fei Wang. "A Separated-Frequency Parameters Identification Method of Li-Ion Battery Model for Electric Vehicles." Applied Mechanics and Materials 672-674 (October 2014): 727–30. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.727.

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This paper proposed a separated-frequency identification method of Li-ion battery model for Electric Vehicles (EVs). The main idea is to decompose the measured terminal voltage and current data in wavelet domain, and then the weighting least squares (LS) algorithm is used to extract the model parameters. Since the signal energy of open circuit voltage (OCV) mainly distributes in the low frequency band, the identifiable wavelet-domain battery model can be approximately obtained by neglecting the high frequency wavelet decomposition coefficients. Furthermore, based on the Akaike’s information cr

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28

Kamenetskiy, V. A. "A Frequency-Domain Criterion for the Quadratic Stability of Discrete-Time Systems with Switching between Three Linear Subsystems." Automation and Remote Control 85, no. 7 (2024): 655–64. http://dx.doi.org/10.31857/s0005117924070014.

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Connected systems with switching between three linear discrete-time subsystems are considered, and a new frequency-domain criterion for the existence of a quadratic Lyapunov function ensuring the stability of such systems under arbitrary switching is proposed. The application of this criterion is demonstrated on an example of a third-order system.

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29

A. Rahim, A., C. H. Chin, S. Abdullah, S. S. K. Singh, M. Z. Nuawi, and F. H. A. Hassan. "Characterization of Wavelet Decomposition Strain Signal Using the K-Mean Clustering Method." International Journal of Engineering & Technology 7, no. 3.17 (2018): 158. http://dx.doi.org/10.14419/ijet.v7i3.17.16642.

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This paper aims to study the characterisation of time-frequency domain to analyse the fatigue strain signal due to weaknesses in time domain and frequency domain approaches. The objectives were to determine the behaviour of strain signal, characterise the fatigue life of strain signal and validate the fatigue life in time-frequency domain. The strain signal was obtained using data acquisition devices and strain gauges on two types of road condition including highway and industrial area. The acquired signals were analysed with time domain, frequency domain and time-frequency domain approaches.

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30

Hsu, Han‐Wen, and Wen‐Liang Chen. "Design of multi‐delayed control systems using a simple frequency‐domain criterion." Journal of the Chinese Institute of Engineers 15, no. 2 (1992): 225–31. http://dx.doi.org/10.1080/02533839.1992.9677409.

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31

Carpinteri, Andrea, Andrea Spagnoli, Camilla Ronchei, Daniela Scorza, and Sabrina Vantadori. "Critical Plane Criterion for Fatigue Life Calculation: Time and Frequency Domain Formulations." Procedia Engineering 101 (2015): 518–23. http://dx.doi.org/10.1016/j.proeng.2015.02.062.

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32

KOSAKA, Manabu. "Stability Criterion and Frequency-domain Approximate Model Matching Based on V-Tiger." Transactions of the Society of Instrument and Control Engineers 59, no. 4 (2023): 212–23. http://dx.doi.org/10.9746/sicetr.59.212.

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33

Kunisch, Karl, Gengsheng Wang, and Huaiqiang Yu. "Frequency-domain criterion on the stabilizability for infinite-dimensional linear control systems." Journal de Mathématiques Pures et Appliquées 196 (April 2025): 103690. https://doi.org/10.1016/j.matpur.2025.103690.

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34

Yang, S. M., and Y. C. Liu. "Frequency Domain Control of Flexible Beams With Piezoelectric Actuator." Journal of Dynamic Systems, Measurement, and Control 117, no. 4 (1995): 541–46. http://dx.doi.org/10.1115/1.2801112.

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One of the challenges in structural control is to apply successfully the control law derived from a discrete, reduced-order model to the engineering system of much higher order. Spillover associated with discrete system modeling has been known to lead to closed loop system instability. This paper presents a frequency domain stability criterion for the high/low-authority controller design of flexible beam systems in distributed parameter model. It is shown that the poles of a slewing beam system can be categorized in two groups: one from those of a cantilever beam and the other from those of a

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35

Wilson, B. H., and J. H. Taylor. "A Frequency Domain Model-Order-Deduction Algorithm for Linear Systems." Journal of Dynamic Systems, Measurement, and Control 120, no. 2 (1998): 185–92. http://dx.doi.org/10.1115/1.2802408.

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Physical system modeling, whether automated or manual, requires a systematic procedure to choose the appropriate order of a system model. This can be most readily accomplished by determining the appropriate order of the component submodels. With previous schemes, the primary means to determine the required order of component submodels has been to focus on the eigenvalues of the model, specifically, the behavior of the eigenvalues inside of a circle in the complex plane defining a given spectral radius. In this paper we develop a new algorithm, FD-MODA, that uses changes in a model’s frequency

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36

Amundsen, Lasse. "Comparison of the least‐squares criterion and the Cauchy criterion in frequency‐wavenumber inversion." GEOPHYSICS 56, no. 12 (1991): 2027–35. http://dx.doi.org/10.1190/1.1443015.

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One alternative to the least‐squares inversion technique is the use of a Cauchy error criterion. We show how inversion algorithms of the Gauss‐Newton type based on the least‐squares method can be modified to handle the Cauchy norm. A criterion for the lower bound of the scale parameter in the Cauchy norm is given. We compare the least‐squares and Cauchy error criteria by inverting synthetic data corrupted by random noise and weather noise. The data are transformed to the frequency‐wavenumber domain before the inversion starts. The numerical examples show that the algorithm based on the Cauchy

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37

Ren, Yuan, and Jiancheng Fang. "Complex-Coefficient Frequency Domain Stability Analysis Method for a Class of Cross-Coupled Antisymmetrical Systems and Its Extension in MSR Systems." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/765858.

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This paper develops a complex-coefficient frequency domain stability analysis method for a class of cross-coupled two-dimensional antisymmetrical systems, which can greatly simplify the stability analysis of the multiple-input multiple-output (MIMO) system. Through variable reconstruction, the multiple-input multiple-output (MIMO) system is converted into a single-input single-output (SISO) system with complex coefficients. The pole locations law of the closed-loop system after the variable reconstruction has been revealed, and the controllability as well as observability of the controlled pla

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38

Zou, Qi Feng, Xue Zhi Tan, and Mei Liu. "Iterative Frequency Domain Equalization for Single-Carrier Space Time Diversity Systems." Advanced Materials Research 926-930 (May 2014): 1818–21. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1818.

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Single carrier frequency domain equalization (SC-FDE) has been receiving much attention for its advantage of suppressing inter-symbol interference (ISI). We proposed a frequency domain iterative decision feedback equalization (FD-IDFE) algorithm for single carrier space time block coding (STBC) systems. The paper use the multi-antenna transmit and Alamouti signaling scheme to achieve the significant diversity gain. We design the feedback equalization structure by Mean Square Error (MSE) criterion and Lagrange optimization method, and we also consider the parameters estimation. At last, we comp

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39

Smirnova, Vera B., and Alexander I. Shepeljavyi. "A MODIFIED FREQUENCY-DOMAIN CRITERION FOR GRADIENT-LIKE BEHAVIOR OF DISCRETE PHASE SYSTEMS." IFAC Proceedings Volumes 40, no. 14 (2007): 245–49. http://dx.doi.org/10.3182/20070829-3-ru-4912.00042.

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40

Chinipardaz, Rahim, Behzad Mansoury, and Sara Shafiei Babaei. "Discriminant Analysis for ARMA Models Based on Divergency Criterion: A Frequency Domain Approach." Journal of Statistical Research of Iran 6, no. 1 (2009): 37–56. http://dx.doi.org/10.18869/acadpub.jsri.6.1.37.

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41

Tsypkin, Y. Z., D. J. Hill, and A. J. Isaksson. "A Frequency-domain Robust Instability Criterion for Time-varying and Non-linear Systems." IFAC Proceedings Volumes 26, no. 2 (1993): 59–64. http://dx.doi.org/10.1016/s1474-6670(17)48894-x.

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42

Tsypkin, Yakov Z., David J. Hill, and Alf J. Isaksson. "A frequency-domain robust instability criterion for time-varying and non-linear systems." Automatica 30, no. 11 (1994): 1779–83. http://dx.doi.org/10.1016/0005-1098(94)90082-5.

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43

Carpinteri, Andrea, Andrea Spagnoli, and Sabrina Vantadori. "Reformulation in the frequency domain of a critical plane-based multiaxial fatigue criterion." International Journal of Fatigue 67 (October 2014): 55–61. http://dx.doi.org/10.1016/j.ijfatigue.2014.01.008.

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44

Su, Ning, Zhenggang Cao, and Yue Wu. "Fast Frequency-Domain Algorithm for Estimating the Dynamic Wind-Induced Response of Large-Span Roofs Based on Cauchy’s Residue Theorem." International Journal of Structural Stability and Dynamics 18, no. 03 (2018): 1850037. http://dx.doi.org/10.1142/s0219455418500372.

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Wind-induced response analysis is an important process in the design of large-span roofs. Conventional time-domain methods are computationally more expensive than frequency-domain algorithms; however, the latter are not as accurate because of the ill-treatment of the modal coupling effects. This paper revisited the derivations of the frequency-domain algorithm and proposed a fast algorithm for estimating the dynamic wind-induced response considering duly the modal coupling effects. With the wind load cross-spectra modeled by rational functions, closed-form solutions to the frequency-domain int

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45

Ghaffari, Arash, Ole Rahbek, Rikke Emilie Kildahl Lauritsen, Andreas Kappel, Søren Kold, and John Rasmussen. "Criterion Validity of Linear Accelerations Measured with Low-Sampling-Frequency Accelerometers during Overground Walking in Elderly Patients with Knee Osteoarthritis." Sensors 22, no. 14 (2022): 5289. http://dx.doi.org/10.3390/s22145289.

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Sensors with a higher sampling rate produce higher-quality data. However, for more extended periods of data acquisition, as in the continuous monitoring of patients, the handling of the generated big data becomes increasingly complicated. This study aimed to determine the validity and reliability of low-sampling-frequency accelerometer (SENS) measurements in patients with knee osteoarthritis. Data were collected simultaneously using SENS and a previously validated sensor (Xsens) during two repetitions of overground walking. The processed acceleration signals were compared with respect to diffe

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46

Ma, Debiao, Junteng Zheng, and Lizhi Peng. "Performance Evaluation of Epileptic Seizure Prediction Using Time, Frequency, and Time–Frequency Domain Measures." Processes 9, no. 4 (2021): 682. http://dx.doi.org/10.3390/pr9040682.

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The prediction of epileptic seizures is crucial to aid patients in gaining early warning and taking effective intervention. Several features have been explored to predict the onset via electroencephalography signals, which are typically non-stationary, dynamic, and varying from person-to-person. In the former literature, features applied in the classification have shared similar contributions to all patients. Therefore, in this paper, we analyze the impact of the specific combination of feature and channel from time, frequency, and time–frequency domains on prediction performance of disparate

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47

Xu, Zhisong, and Mingqiu Li. "Rational Implementation of Fractional Calculus Operator Based on Quadratic Programming." Mathematical Problems in Engineering 2021 (February 12, 2021): 1–12. http://dx.doi.org/10.1155/2021/6646718.

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When fractional calculus operators and models are implemented rationally, there exist some problems such as low approximation accuracy of rational approximation function, inability to specify arbitrary approximation frequency band, or poor robustness. Based on the error criterion of the least squares method, a quadratic programming method based on the frequency-domain error is proposed. In this method, the frequency-domain error minimization between the fractional operator s ± r and its rational approximation function is transformed into a quadratic programming problem. The results show that t

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48

Yang, S. M., J. A. Jeng, and Y. C. Liu. "Controller Design of a Distributed Slewing Flexible Structure—A Frequency Domain Approach." Journal of Dynamic Systems, Measurement, and Control 119, no. 4 (1997): 809–14. http://dx.doi.org/10.1115/1.2802394.

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The vibration control of a slewing flexible structure by collocated and noncollocated feedback is presented in this paper. A stability criterion derived from the root locus method in frequency domain is applied to predict the closed-loop system stability of the distributed parameter model whose analytical transfer functions are formulated. It is shown that the control law design requires neither distributed state sensing/estimation nor functional feedback gain; moreover, the spillover problem associated with discrete parameter model can be prevented. Implementation of the noncollocated feedbac

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49

Zhang, Nan, Liang An, Yun Yu, and Xiaoyan Wang. "Adaptive Line Enhancer Based on Maximum Correntropy Criterion and Frequency Domain Sparsity for Passive Sonars." Electronics 12, no. 19 (2023): 4109. http://dx.doi.org/10.3390/electronics12194109.

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The low-frequency narrowband components (known as lines) in the radiated noise of underwater acoustic targets are an important feature of passive sonar detection. Conventional adaptive line enhancer (ALE) based on the least mean square algorithm has limited performance under colored background noise and low signal-to-noise ratio (SNR). In this paper, by combining the frequency domain sparse model of lines and maximum correntropy criterion (MCC), a β-adaptive l0-MCC-ALE is proposed to solve the above-mentioned problem. The proposed ALE uses a sparse-driven MCC algorithm to update the weight vec

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50

Yu, Chen, Jian Lan Li, and Shu Hong Huang. "Vibration Fault Diagnosis of Rotating Machine Based on the Principle of Entropy Increase." Advanced Materials Research 530 (June 2012): 109–14. http://dx.doi.org/10.4028/www.scientific.net/amr.530.109.

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Information fusion is the main method to improve diagnosis accuracy. In this paper, fusion information entropy is defined by fusing speed with three kinds of information entropy that are singular spectrum entropy in time domain, power spectrum entropy in frequency domain and wavelet energy spectrum entropy in time-frequency domain from multiple perspectives to describes vibration fault characteristics. According to the principle of entropy increase, condition information entropy increase of vibration fault are defined and used as new criterion for fault diagnosis, and the grey correlation betw

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