Results 51 to 60 of about 60,233 (294)

A Tensor-Based Approach for Identification of Multi-Channel Bearing Compound Faults

IEEE Access, 2019
Vibration signal analysis is one of the most effective approaches for detecting faults in bearings. A bearing compound-fault signal always consists of multiple signatures and stochastic noise.
Chaofan Hu, Yanxue Wang, Tangbo Bai
doaj   +1 more source

Psychological Safety Among Interprofessional Pediatric Oncology Teams in Germany: A Nationwide Survey

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn, Anna‐Lena Herbach, Christian Bock, Katharina Fleig, Urs Mücke   +4 more
wiley   +1 more source

Nonlinear Extended State Observer and Prescribed Performance Fault-Tolerant Control of Quadrotor Unmanned Aerial Vehicles Against Compound Faults

Aerospace
Addressing trajectory and attitude control challenges in quadrotor UAVs amid compound faults and unknown external disturbances, this paper introduces a fault-tolerant control method predicated on nonlinear extended state observers.
Ge Mai, Hongliang Wang, Yilin Wang, Xinghua Wu, Peiyao Jiang, Genyuan Feng   +5 more
doaj   +1 more source

A Compound fault diagnosis for rolling bearings method based on blind source separation and ensemble empirical mode decomposition.

PLoS ONE, 2014
A Compound fault signal usually contains multiple characteristic signals and strong confusion noise, which makes it difficult to separate week fault signals from them through conventional ways, such as FFT-based envelope detection, wavelet transform or ...
Huaqing Wang, Ruitong Li, Gang Tang, Hongfang Yuan, Qingliang Zhao, Xi Cao   +5 more
doaj   +1 more source

Photovoltaic Array Fault Diagnosis Based on Gaussian Kernel Fuzzy C-Means Clustering Algorithm

Sensors, 2019
In the fault diagnosis process of a photovoltaic (PV) array, it is difficult to discriminate single faults and compound faults with similar signatures. Furthermore, the data collected in the actual field experiment also contains strong noise, which leads
Shengyang Liu, Lei Dong, Xiaozhong Liao, Xiaodong Cao, Xiaoxiao Wang   +4 more
doaj   +1 more source

The compounding of short fibre reinforced thermoplastic composites [PDF]

, 1988
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.It is generally accepted that the mechanical properties of short fibre reinforced thermoplastics do not correspond with the high mechanical properties of ...
Shipton, Paul David
core  

A Transient Fault-signal Extraction Scheme for Bearing Compound Fault Intelligent Diagnosis based on Vibration Signals

WSEAS TRANSACTIONS ON SYSTEMS, 2023
As a compound fault of bearing is characterized by complexity, disproportion, and interaction, its fault diagnostic accuracy tends to decline sharply. To solve this problem, the present study proposes a transient fault-signal extraction scheme for bearing compound fault intelligent diagnosis.
Miyazaki Shuuji, Zhi-Qiang Liao, Peng Chen   +2 more
openaire   +1 more source

Clinical Characteristics and Prognostic Risk Factors for Pediatric B‐Cell Lymphoblastic Lymphoma: A Multicenter Retrospective Cohort Study for China Net Childhood Lymphoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐cell lymphoblastic lymphoma (B‐LBL) represents a rare variety of non‐Hodgkin lymphoma, with limited research on its biology, progression, and management. Methods A retrospective analysis was performed on the clinical characteristics of 256 patients aged ≤18 years who received treatment under the China Net Childhood Lymphoma (CNCL)‐
Zhijuan Liu, Jian Wang, Ling Jin, Yanlong Duan, Fu Li, Yueping Jia, Leping Zhang, Xiaojun Yuan, Wei Liu, Ying Liu, Ansheng Liu, Mincui Zheng, Yunpeng Dai, Lian Jiang, Lirong Sun, Xiaowen Zhai, Rong Liu, Chunju Zhou, Zifen Gao, Yonghong Zhang, Xiaomei Yang   +20 more
wiley   +1 more source

The Absolute Deviation Rank Diagnostic Approach to Gear Tooth Composite Fault

Shock and Vibration, 2017
Aiming at nonlinear and nonstationary characteristics of the different degree with single fault gear tooth broken, pitting, and composite fault gear tooth broken-pitting, a method for the diagnosis of absolute deviation of gear faults is presented.
Guangbin Wang, Wenhui Deng, Xiaoyang Du, Xuejun Li   +3 more
doaj   +1 more source

Diagnosis of Multiple Faults in Rotating Machinery Using Ensemble Learning

Sensors, 2023
Fault diagnosis of rotating machines is an important task to prevent machinery downtime, and provide verifiable support for condition-based maintenance (CBM) decision-making.
Udeme Ibanga Inyang, Ivan Petrunin, Ian Jennions   +2 more
doaj   +1 more source