Results 11 to 20 of about 1,527,120 (243)
This paper presents a passive bistatic radar (PBR) configuration using a global navigation satellite system as an illuminator of opportunity for the rotor blade feature extraction of a helicopter.
Zibo Zhou +4 more
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This paper investigates the possibility of using visual imagery tasks, which are mental imagery tasks that involve imagining the images of objects perceptually without seeing them, as a control paradigm that can increase the control's dimensionality of ...
Rami Alazrai +4 more
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Impulse Feature Extraction of Bearing Faults Based on Convolutive Nonnegative Matrix Factorization
The detection of bearing faults is of great significance for the stable operation of rotating machinery. Apart from detection by analysing the vibration response, another powerful strategy is to extract the periodic impulse excitation directly induced by
Lin Liang +5 more
doaj +1 more source
A New Perspective of Wind Power Grid Codes Under Unbalanced and Distorted Grid Conditions
Increasing penetration of wind power has led power system operators worldwide to develop new grid codes for integration of a wind power plant (WPP) onto the grid. According to the grid codes issued by Federal Energy Regulatory Commission (FERC) in the US,
Md Moinul Islam +3 more
doaj +1 more source
A new positive time-frequency distribution [PDF]
This article studies the formulation of new members of the Cohen-Posch (1985) class of positive time-frequency energy distributions. Members of this class are always positive functionals and satisfy the marginal constraints. Therefore, they can be properly interpreted as distributions.
Rodríguez Fonollosa, Javier +1 more
openaire +2 more sources
Background: Psychiatrists diagnose schizophrenia based on clinical symptoms such as disordered thinking, delusions, hallucinations, and severe distortion of daily functions.
Malihe Sabeti +4 more
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The incipient damages of mechanical equipment excite weak impulse vibration, which is hidden, almost unobservable, in the collected signal, making fault detection and failure prevention at the inchoate stage rather challenging.
Lin Liang +4 more
doaj +1 more source
A Deep Learning Framework for Decoding Motor Imagery Tasks of the Same Hand Using EEG Signals
This study aims to increase the control's dimensions of the electroencephalography (EEG)-based brain-computer interface (BCI) systems by distinguishing between the motor imagery (MI) tasks associated with fine body-parts of the same hand, such as the ...
Rami Alazrai +3 more
doaj +1 more source
Automatic Early Broken-Rotor-Bar Detection and Classification Using Otsu Segmentation
Induction motors (IM) are susceptible to mechanical failures with severe consequences for production lines; hence, detection and classification of IM faults have been of great interest for researchers in last years. Broken rotor bars (BRB) are one of the
Misael Lopez-Ramirez +5 more
doaj +1 more source
Time frequency distributions of TMJ sounds [PDF]
SummaryFor analysis of time‐varying signals such as the TMJ sounds, it is often desirable to know how the frequency components change with time, using methods of time‐frequency analysis. The aim of this study was to compare two of the most familiar methods for energy density representation with a newly developed technique. The sounds were recorded with
Widmalm, Sven-Erik +2 more
openaire +3 more sources

