Results 1 to 10 of about 71,628 (162)

Speech extraction from vibration signals based on deep learning. [PDF]

PLoS ONE, 2023
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, Weiguang Zheng, Shande Li, Qibai Huang   +3 more
doaj   +2 more sources

A parameter adaptive EEFO VMD method to mitigate noise and trend interference of blast vibration signals [PDF]

Scientific Reports
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, Zuofu Zhang, Fuqiang Ren, Xuesong Wang, Aobo Liu, Lianjun Guo   +5 more
doaj   +2 more sources

A New Morphological Filter for Fault Feature Extraction of Vibration Signals

IEEE Access, 2019
Early faults in rolling bearings tend to result in periodic impulse components in the collected vibration signals. However, these fault features are always distorted by noise interferences.
Jianbo Yu, Tianzhong Hu, Haiqiang Liu
doaj   +3 more sources

Fault Detection and Identification Method for Quadcopter Based on Airframe Vibration Signals [PDF]

Sensors, 2021
Xiaomin Zhang, Zhiyao Zhao, Zhaoyang Wang   +2 more
exaly   +2 more sources

A Detecting Method for “Weak” Friction-Induced Vibration Based on Cross-Correlation Analysis between Vibration and Sound Signals

Applied Sciences, 2023
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, Yanchao Zhu, Guobin Li, Ting Liu, Honglin Gao, Yuchao Song, Hongpeng Zhang   +6 more
doaj   +1 more source

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

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
doaj   +1 more source

Identification of Vibration Signal for Residual Pressure Utilization Hydraulic Unit Using MRFO-BP Neural Network

Shock and Vibration, 2022
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, Liying Wang, Jiajie Zhang, Tengfei Guo, Xiyuan Liu   +4 more
doaj   +1 more source

AI-Enabled Predictive Maintenance Framework for Autonomous Mobile Cleaning Robots

Sensors, 2021
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, Mohan Rajesh Elara, Vinu Sivanantham, Balakrishnan Ramalingam   +3 more
doaj   +1 more source

Dynamic modeling and vibration analysis of a cracked 3K-II planetary gear set for fault detection [PDF]

Mechanical Sciences, 2021
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, M. Sang, K. Huang, K. Huang, Y. Xiong, Y. Xiong, G. Han, G. Han, Z. Cheng, Z. Cheng   +9 more
doaj   +1 more source

Early-Stage Fault Diagnosis of Motor Bearing Based on Kurtosis Weighting and Fusion of Current–Vibration Signals [PDF]

Sensors
Ma Jien
exaly   +2 more sources