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Elevator Car Vibration Signal Denoising Method Based on CEEMD and Bilateral Filtering [PDF]
Sensors, 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
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Electric Motor Vibration Signal Classification Using Wigner–Ville Distribution for Fault Diagnosis [PDF]
SensorsNoise 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
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Classification of Road Surfaces Based on CNN Architecture and Tire Acoustical Signals
Applied 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
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Graph Convolutional Network Surrogate Model for Mesh-Based Structure-Borne Noise Simulation
Applied 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
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Analysis of vibration and acoustic signals for noncontact measurement of engine rotation speed [PDF]
, 2020 The non-contact measurement of engine speed can be realized by analyzing engine vibration frequency. However, the vibration signal is distorted by harmonics and noise in the measurement.
Martinek, Radek +4 more
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Frequency-dependent auto-pooling function for weakly supervised sound event detection
EURASIP 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
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Shock 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
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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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Deep Learning Approach for Vibration Signals Applications [PDF]
Sensors, 2021 This study discusses convolutional neural networks (CNNs) for vibration signals analysis, including applications in machining surface roughness estimation, bearing faults diagnosis, and tool wear detection. The one-dimensional CNNs (1DCNN) and two-dimensional CNNs (2DCNN) are applied for regression and classification applications using different types ...
Han-Yun Chen, Ching-Hung Lee
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Advances 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
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