Results 31 to 40 of about 3,279,297 (229)

Compound Faults Feature Extraction for Rolling Bearings Based on Parallel Dual-Q-Factors and the Improved Maximum Correlated Kurtosis Deconvolution

Applied Sciences, 2019
Vibration analysis is one of the main effective ways for rolling bearing fault diagnosis, and a challenge is how to accurately separate the inner and outer race fault features from noisy compound faults signals.
Lingli Cui, Jianxi Du, Na Yang, Yonggang Xu, Liuyang Song   +4 more
doaj   +1 more source

The fault detection and severity diagnosis of rolling element bearings using modulation signal bispectrum [PDF]

The rolling element bearing is a key part in many mechanical equipment. The accurate and timely diagnosis of its faults is critcal for predictive maintenance. Vibration signals from a defective bearing with a localized fault contain a series of impulsive
Gu, Fengshou, Rehab, Ibrahim, Ball, Andrew, Tian, Xiange   +3 more
core   +3 more sources

Sparsity-Oriented Nonconvex Nonseparable Regularization for Rolling Bearing Compound Fault under Noisy Environment

Shock and Vibration, 2020
Rolling bearing is widely used in rotating machinery and, at the same time, it is easy to be damaged due to harsh operating environments and conditions. As a result, rolling bearing is critical to the safe operation of the machinery devices.
Xiaocheng Li, Jingcheng Wang, Hongyuan Wang   +2 more
doaj   +1 more source

The Single-channel blind source separation based on VMD and Tukey M estimation for rolling bearing composite fault diagnosis

Measurement + Control, 2023
Rolling bearing is one of the core components in rotating machinery, and its running status directly affects the operation of the whole equipment. Faults of rolling bearings in the actual working process are often multiple faults. To effectively separate
Yaping Wang, Qisong Zhang, Ruofan Cao, Sheng Zhang, Shisong Li, Di Xu   +5 more
doaj   +1 more source

Fault Diagnosis of Rolling Bearings using Multifractal Detrended Fluctuation Analysis and Mahalanobis Distance Criterion [PDF]

, 2012
Vibrations of a defective rolling bearing often exhibit nonstationary and nonlinear characteristics which are submerged in strong noise and interference components.
Gu, Fengshou, Lin, Jinshan, Tian, Xiange, Chen, Qian   +3 more
core   +3 more sources

Dirichlet-weighted composite data synthesis for robust transfer learning in high-speed railway bearing fault diagnosis [PDF]

PeerJ Computer Science
High-Speed Railway (HSR) bearing health monitoring is essential for ensuring operational safety, reducing unexpected service interruptions, and supporting condition-based maintenance in practical railway systems. In real engineering environments, however,
Hanwei Zheng, Hongyi Zhang, Ming Yang, Zhenzhe Zhong, Xinjie Jiang, Junsen Zheng, Junhao Liu, Yihui Chen, Haitao Luo, Xingen Gao   +9 more
doaj   +2 more sources

A Compound Fault Labeling and Diagnosis Method Based on Flight Data and BIT Record of UAV

Applied Sciences, 2021
In the process of Unmanned Aerial Vehicle (UAV) flight testing, plenty of compound faults exist, which could be composed of concurrent single faults or over-limit states alarmed by Built-In-Test (BIT) equipment.
Ke Zheng, Guozhu Jia, Linchao Yang, Jiaqing Wang   +3 more
doaj   +1 more source

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld, Scott H. Maurer, Michelle D. Watkinson, John Nury, Elise Barberis, Molly C. Mack   +5 more
wiley   +1 more source

Intelligent Diagnosis of Rolling Bearings Fault Based on Multisignal Fusion and MTF-ResNet

Sensors, 2023
Existing diagnosis methods for bearing faults often neglect the temporal correlation of signals, resulting in easy loss of crucial information. Moreover, these methods struggle to adapt to complex working conditions for bearing fault feature extraction ...
Kecheng He, Yanwei Xu, Yun Wang, Junhua Wang, Tancheng Xie   +4 more
doaj   +1 more source

A Hybrid Feature Selection and Multi-Label Driven Intelligent Fault Diagnosis Method for Gearbox

, 2023
Gearboxes are utilized in practically all complicated machinery equipment because they have great transmission accuracy and load capacities, so their failure frequently results in significant financial losses.
Xiangfeng Zhang, Zhiyu Zhang, Di Liu, Hong Jiang   +3 more
core   +1 more source