Results 81 to 90 of about 3,118,267 (236)

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source

Automatic Diagnosis of Rolling Element Bearing Under Different Conditions Based on RVMD and Envelope Order Capture

IEEE Access, 2019
Fault characteristic frequency is the main basis for rolling element bearing diagnostics but finding a suitable frequency band for demodulation and searching for the fault characteristic frequencies consume a lot of time and manpower in practice.
Yingjie Wu, Zhongzhong Hu, Weilun An, Xiaoming Li, Xiaolong Wang, Peng Du, Xin Yu   +6 more
doaj   +1 more source

Rheumatoid arthritis, frailty, and outcomes of surgical hospitalizations: A national population‐based analysis

Arthritis Care &Research, Accepted Article.
OBJECTIVE Hospitalization, particularly for surgery, represents a period of heightened stress. We evaluated how frailty attenuates the association of rheumatoid arthritis (RA) with negative health outcomes after elective non‐cardiac surgery. METHODS We conducted a cross‐sectional study using the National Inpatient Sample (2018 to 2020), including ...
Ali Yazdanyar, Joshua Baker, Katherine D Wysham, Mohammed Yousufuddin, Farah Acher Kaiksow, Michael M. Ward   +5 more
wiley   +1 more source

Fault Diagnosis of Roller Bearing based on Hybrid Feature Set and Weighted KNN

Jixie chuandong, 2016
Aiming at the problem that the roller bearings early fault features are faint that difficult to be effectively identified,a fault diagnosis method of roller bearing based on hybrid feature set and weighted K- nearest- neighbor（ KNN） is proposed.
Chen Fafa, Li Mian, Chen Baojia, Chen Congping   +3 more
doaj  

Fault diagnosis method for rolling bearing of shearer based on HGWO-MSVM

Gong-kuang zidonghua, 2018
In view of problems of difficult extracting of fault feature vector and unsatisfactory multi-classification effect of shearer rolling bearing, a fault diagnosis method for rolling bearing of shearer based on HGWO-MSVM was proposed.
SUN Mingbo, MA Qiuli, ZHANG Yanliang, LEI Junhui   +3 more
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Fault Diagnosis of Rolling Bearing Based on Wavelet Package Transform and Ensemble Empirical Mode Decomposition

Advances in Mechanical Engineering, 2013
Rolling bearing is widely used in rotating mechanical system, and its operating state has great influence on accuracy, reliability, and the life of the whole mechanical system. Therefore, fault diagnosis of rolling bearing is indispensible for the health
Quan Liu, Fen Chen, Zude Zhou, Qin Wei
doaj   +1 more source

Fault Diagnosis of Induction Motor Based on a Novel Intelligent Framework and Transient Current Signals [PDF]

, 2013
This paper deals with fault diagnosis of induction motor containing common faults by using a novel intelligent framework and transient stator current signals. This framework consists of a Fourier-Bessel (FB) expansion for analyzing the transient signals,
Tran, V.T., Ball, Andrew, Liang, Bo, Cattley, R., Tran, Van Tung, Ball, A., Cattley, Robert, Iwnicki, S., Iwnicki, Simon   +8 more
core   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

A Novel Method to Improve the Resolution of Envelope Spectrum for Bearing Fault Diagnosis Based on a Wireless Sensor Node [PDF]

, 2014
In this paper, an accurate envelope analysis algorithm is developed for a wireless sensor node. Since envelope signals employed in condition monitoring often have narrow frequency bandwidth, the proposed algorithm down-samples and cascades the analyzed ...
Gu, Fengshou, Ball, Andrew, Fengshou Gu, Andrew D. Ball, Zhen, Dong, Guojin Feng, Xiange Tian, Ball, Andrew D., Feng, Guojin, Tian, Xiange, Dong Zhen   +10 more
core   +1 more source