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Elevator Car Vibration Signal Denoising Method Based on CEEMD and Bilateral Filtering [PDF]

open access: yesSensors, 2022
Elevator car vibration signals are important information to monitor and diagnose the operating status of elevators, but during the process of vibration signals acquisition, vibration signals are always inevitably disturbed by noise, which affects further
Dapeng Niu, Jiaqi Wang
doaj   +2 more sources

Electric Motor Vibration Signal Classification Using Wigner–Ville Distribution for Fault Diagnosis [PDF]

open access: yesSensors
Noise and vibration signal classification can be applied to fault diagnosis in mechanical and electronic systems such as electric vehicles. Traditional signal classification technology uses signal time and frequency domain characteristics as the ...
Jian-Da Wu, Wen-Jun Luo, Kai-Chao Yao
doaj   +2 more sources

Classification of Road Surfaces Based on CNN Architecture and Tire Acoustical Signals

open access: yesApplied Sciences, 2022
This paper presents a novel work for classification of road surfaces using deep learning method-based convolutional neural network (CNN) architecture. With the development of advanced driver assistance system (ADAS) and autonomous driving technologies ...
Jinhwan Yoo   +7 more
doaj   +1 more source

Graph Convolutional Network Surrogate Model for Mesh-Based Structure-Borne Noise Simulation

open access: yesApplied Sciences, 2023
This study presents a unique method of building a surrogate model using a graph convolutional network (GCN) for mesh-based structure-borne noise analysis of a fluid–structure coupled system.
Sang-Yun Lee, Sang-Kwon Lee
doaj   +1 more source

Frequency-dependent auto-pooling function for weakly supervised sound event detection

open access: yesEURASIP Journal on Audio, Speech, and Music Processing, 2021
Sound event detection (SED), which is typically treated as a supervised problem, aims at detecting types of sound events and corresponding temporal information. It requires to estimate onset and offset annotations for sound events at each frame.
Sichen Liu   +3 more
doaj   +1 more source

Improved Empirical Modal Decomposition Coupled with Interwoven Fourier Decomposition for Building Vibration Signal Denoising

open access: yesShock and Vibration, 2022
The precise detection of building vibration signals is a crucial problem for the identification of building vibration sources and characteristics. However, the building vibration signal is usually accompanied by complex high-frequency noise.
Xi Luo, Shitu Abubakar
doaj   +1 more source

VIBRATION ASSESSMENT OF TRACTOR OPERATOR BASED ON VIBRATION SIGNALS

open access: yesINMATEH Agricultural Engineering, 2023
Operator fatigue during work with agricultural machinery is a significant factor contributing to fatal accidents in Greece. Workers operating agricultural machinery, especially those working with tractors and off-road machines, constitute one of the most hazard-prone groups due to mechanical vibrations transmitted from the ground to the operators ...
Christos I. DIMITRIADIS   +4 more
openaire   +1 more source

Single-Channel Blind Signal Separation of the MHD Linear Vibration Sensor Based on Singular Spectrum Analysis and Fast Independent Component Analysis

open access: yesSensors, 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
doaj   +1 more source

Bearing fault diagnosis model using improved Bayesian information criterion-based variational modal decomposition and IGA-SVM

open access: yesAdvances in Mechanical Engineering, 2022
In rotating machinery, the bearing vibration signal is easily covered by the vibration signal of other components, which makes the fault characteristic signal not obvious in the collected vibration signal. In order to better separate the vibration source
Yang-fei Ye, Meng Zhang
doaj   +1 more source

Prediction and Sound Quality Analysis of Tire Pattern Noise Based on System Identification by Utilizing an Optimal Adaptive Filter

open access: yesApplied Sciences, 2019
Identifying the cause of vehicle noise is a basic requirement for the development of low-noise vehicles. The tire pattern noise depends on the tire itself and causes complex and unpredictable sounds.
Sang-Kwon Lee   +3 more
doaj   +1 more source

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