Search Results - "Loparo, K"
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Bearing condition diagnosis and prognosis using applied nonlinear dynamical analysis of machine vibration signal
Published in Journal of sound and vibration (21-10-2008)“…In this paper, we introduce a modified form of the correlation integral developed by Grassberger and Procaccia referred to as the partial correlation integral,…”
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2
An analysis of the kangaroo care intervention using neonatal EEG complexity: A preliminary study
Published in Clinical neurophysiology (01-02-2013)“…Highlights ► Skin-to-skin contact (SSC) is an accepted approach that can contribute to the care of premature infants. ► Brain maturation is a…”
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3
Vagal-dependent nonlinear variability in the respiratory pattern of anesthetized, spontaneously breathing rats
Published in Journal of applied physiology (1985) (01-07-2011)“…Physiological rhythms, including respiration, exhibit endogenous variability associated with health, and deviations from this are associated with disease…”
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4
Nonlinear dynamical analysis of the neonatal EEG time series: The relationship between sleep state and complexity
Published in Clinical neurophysiology (01-08-2008)“…Abstract Objective The complexity of the EEG time series during stages of neonatal sleep states is investigated. The relationship between these sleep states,…”
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5
Bearing fault diagnosis based on wavelet transform and fuzzy inference
Published in Mechanical systems and signal processing (01-09-2004)“…This paper deals with a new scheme for the diagnosis of localised defects in ball bearings based on the wavelet transform and neuro-fuzzy classification…”
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6
Nonlinear dynamical analysis of the neonatal EEG time series: The relationship between neurodevelopment and complexity
Published in Clinical neurophysiology (01-04-2008)“…Abstract Objective To investigate the relationship between the complexity of sleep EEG time series and neurodevelopment for premature or full-term neonates…”
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7
A self-administered screening instrument for psychogenic nonepileptic seizures
Published in Neurology (12-05-2009)“…Delay in distinguishing psychogenic nonepileptic seizures (PNES) from epilepsy may result in significant health and economic burdens. Screening tools are…”
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8
Examination of scale-invariant characteristics of epileptic electroencephalograms using wavelet-based analysis
Published in Computers & electrical engineering (01-07-2014)“…[Display omitted] •A wavelet-based approach is applied to examine scale-invariant characteristics of epileptic EEGs.•The spectral exponents of epileptic EEGs…”
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An approach for characterizing coupling in dynamical systems
Published in Physica. D (01-10-2008)“…The study of coupling in dynamical systems dates back to Christian Hyugens who, in 1665, discovered that pendulum clocks with the same length pendulum…”
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10
Estimation of the running speed and bearing defect frequencies of an induction motor from vibration data
Published in Mechanical systems and signal processing (01-05-2004)“…This paper presents two separate algorithms for estimating the running speed and the bearing key frequencies of an induction motor using vibration data…”
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11
A decision fusion algorithm for tool wear condition monitoring in drilling
Published in International journal of machine tools & manufacture (01-07-2001)“…Tool wear monitoring of cutting tools is important for the automation of modern manufacturing systems. In this paper, several innovative monitoring methods for…”
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12
Stabilization of continuous-time jump linear systems
Published in IEEE transactions on automatic control (01-10-2002)“…We investigate almost-sure and moment stabilization of continuous time jump linear systems with a finite-state Markov jump form process. We first clarify the…”
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13
Stochastic stability of jump linear systems
Published in IEEE transactions on automatic control (01-07-2002)“…In this note, some testable conditions for mean square (i.e., second moment) stability for discrete-time jump linear systems with time-homogenous and…”
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14
Stochastic stability properties of jump linear systems
Published in IEEE transactions on automatic control (01-01-1992)“…Jump linear systems are defined as a family of linear systems with randomly jumping parameters (usually governed by a Markov jump process) and are used to…”
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15
A neural-network approach to fault detection and diagnosis in industrial processes
Published in IEEE transactions on control systems technology (01-11-1997)“…Using a multilayered feedforward neural-network approach, the detection and diagnosis of faults in industrial processes that requires observing multiple data…”
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16
Automated detection of tracé alternant during sleep in healthy full-term neonates using discrete wavelet transform
Published in Clinical neurophysiology (01-10-2001)“…Objective: To develop an automated procedure for scoring neonatal sleep states using signal processing which are based on visual pattern recognition…”
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Journal Article Conference Proceeding -
17
Inequalities for the trace of matrix product
Published in IEEE transactions on automatic control (01-12-1994)“…To obtain estimates of solutions of Lyapunov and Riccati equations which frequently occur in the stability analysis and optimal control design in linear…”
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18
Active probing for information in control systems with quantized state measurements: a minimum entropy approach
Published in IEEE transactions on automatic control (01-02-1997)“…In this paper the effect of state quantization in scaler discrete-time linear control systems is studied by analyzing the system as a partially observed…”
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19
Analysis of the value for unit commitment of improved load forecasts
Published in IEEE transactions on power systems (01-11-1999)“…Load forecast errors can yield suboptimal unit commitment decisions. The economic cost of inaccurate forecasts is assessed by a combination of forecast…”
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Minimizing the cardinality of an events set for supervisors of discrete-event dynamical systems
Published in IEEE transactions on automatic control (01-11-1996)“…In this paper we study sufficient observation and work spaces for supervisors of a class of discrete-event dynamical systems (DEDS). We use finite state…”
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