Results 1 to 10 of about 266,526 (202)
Speech extraction from vibration signals based on deep learning. [PDF]
Extracting speech information from vibration response signals is a typical system identification problem, and the traditional method is too sensitive to deviations such as model parameters, noise, boundary conditions, and position.
Li Wang +3 more
doaj +2 more sources
A parameter adaptive EEFO VMD method to mitigate noise and trend interference of blast vibration signals [PDF]
Blasting vibration signals are often contaminated by trend terms and noise, stemming from environments, and instrument errors. This contamination hinders subsequent signal processing and analysis.
Zhenyang Xu +5 more
doaj +2 more sources
Deep Learning Approach for Vibration Signals Applications. [PDF]
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 ...
Chen HY, Lee CH.
europepmc +5 more sources
A method for vibration-based structural interrogation and health monitoring based on signal cross-correlation [PDF]
Vibration-based structural interrogation and health monitoring is a field which is concerned with the estimation of the current state of a structure or a component from its vibration response with regards to its ability to perform its intended function ...
Bendat JS +4 more
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The “weak” friction-induced vibration can help to monitor the change in friction and wear state of friction pairs and detect the failure of surface damage.
Pengfei Xing +6 more
doaj +1 more source
Elevator Car Vibration Signal Denoising Method Based on CEEMD and Bilateral Filtering
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 +1 more source
Combined with wavelet threshold denoising and Ensemble Empirical Mode Decomposition (EEMD) decomposition, an identification method based on Manta Ray Foraging Optimization-BP (MRFO-BP) neural network for vibration signals of residual pressure utilization
Qingjiao Cao +4 more
doaj +1 more source
AI-Enabled Predictive Maintenance Framework for Autonomous Mobile Cleaning Robots
Vibration is an indicator of performance degradation or operational safety issues of mobile cleaning robots. Therefore, predicting the source of vibration at an early stage will help to avoid functional losses and hazardous operational environments. This
Sathian Pookkuttath +3 more
doaj +1 more source
Dynamic modeling and vibration analysis of a cracked 3K-II planetary gear set for fault detection [PDF]
The 3K planetary gear system is a basic planetary transmission structure with many advantages over the 2K-H planetary gear system. However, the vibration characteristics will be more complicated due to the increase of central gears meshing with each ...
M. Sang +9 more
doaj +1 more source
The blasting vibration signals show obvious zoning propagation characteristics. Because of not considering the specific influences of geological and topographical conditions, the existing zoning methods of blasting vibration cannot fully describe the ...
Haixia Wei +5 more
doaj +1 more source

