Results 21 to 30 of about 77,768 (302)
Functional Diversity of Vibrational Signaling Systems in Insects
Annual Review of Entomology, 2023 Communication by substrate-borne mechanical waves is widespread in insects. The specifics of vibrational communication are related to heterogeneous natural substrates that strongly influence signal transmission. Insects generate vibrational signals primarily by tremulation, drumming, stridulation, and tymbalation, most commonly during sexual behavior ...
VirantDoberlet, Meta +3 more
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Texture Signals in Whisker Vibrations
Journal of Neurophysiology, 2006 Rodents excel in making texture judgments by sweeping their whiskers across a surface. Here we aimed to identify the signals present in whisker vibrations that give rise to such fine sensory discriminations. First, we used sensors to capture vibration signals in metal whiskers during active whisking of an artificial system and in natural whiskers ...
Hipp, J. +6 more
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Filtering method of coupled components in wind turbine signals
Energy Reports, 2022 To study whether the coupled components in vibration signals affect the accuracy of judging the wind turbine running state, an adaptive filter was used to filter the coupled components, with different filters performing differently.
Wenbing Wu
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A New Fault Feature Extraction Method for Rotating Machinery Based on Multiple Sensors
Sensors, 2020 During the operation of rotating machinery, the vibration signals measured by sensors are the aliasing signals of various vibration sources, and they contain strong noises.
Feng Miao +3 more
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Sparse Optimization of Vibration Signal by ADMM [PDF]
Journal of Applied Mathematics, 2017 In this paper, the alternating direction method of multipliers (ADMM) algorithm is applied to the compressed sensing theory to realize the sparse optimization of vibration signal. Solving the basis pursuit problem for minimizing theL1norm minimization under the equality constraints, the sparse matrix obtained by the ADMM algorithm can be reconstructed ...
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A Novel Method for Early Gear Pitting Fault Diagnosis Using Stacked SAE and GBRBM
Sensors, 2019 Research on data-driven fault diagnosis methods has received much attention in recent years. The deep belief network (DBN) is a commonly used deep learning method for fault diagnosis.
Jialin Li +3 more
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An SDP Characteristic Information Fusion-Based CNN Vibration Fault Diagnosis Method
Shock and Vibration, 2019 This study proposes a symmetrized dot pattern (SDP) characteristic information fusion-based convolutional neural network (CNN) fault diagnosis method to resolve issues of high complexity, nonlinearity, and instability in original rotor vibration signals.
Xiaoxun Zhu +3 more
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Sensors, 2022 An MHD vibration sensor, as a new type of sensor used for vibration measurements, meets the technical requirements for the low-noisy measurement of acceleration, velocity, and micro-vibration in spacecraft during their development, launch, and orbit ...
Mengjie Xu +5 more
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Gear Fault Feature Extraction Based on Fuzzy Function and Improved Hu Invariant Moments
IEEE Access, 2020 To intelligently identify gear fault types on the basis of gear vibration signals, due to the non-linear and non-stationary characteristics of gear vibration signals, a fuzzy function is used to represent the gear vibration signals in different states as
Chun Lv, Peilin Zhang, Dinghai Wu
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Classification of machinery vibration signals based on group sparse representation [PDF]
, 2016 The working condition of mechanical equipment can be reflected by vibration signals collected from it. Accurate classification of these vibration signals is helpful for the machinery fault diagnosis.
Fajun Yu, Fengxing Zhou
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