Results 31 to 40 of about 2,214,988 (289)

A Novel Multimode Fault Classification Method Based on Deep Learning

open access: yesJournal of Control Science and Engineering, 2017
Due to the problem of load varying or environment changing, machinery equipment often operates in multimode. The data feature involved in the observation often varies with mode changing.
Funa Zhou, Yulin Gao, Chenglin Wen
doaj   +1 more source

Design of remote fault prediction system for coal preparation equipments

open access: yesGong-kuang zidonghua, 2019
In view of problems existing in current coal preparation equipments fault prediction, such as equipments monitoring data conversion method was not unified, single fault classification model cannot meet requirements of multiple fault types prediction, and
FU Xiang, WANG Ranfeng, PANG Liang
doaj   +1 more source

Construction of a Sensitive and Speed Invariant Gearbox Fault Diagnosis Model Using an Incorporated Utilizing Adaptive Noise Control and a Stacked Sparse Autoencoder-Based Deep Neural Network

open access: yesSensors, 2020
Gearbox fault diagnosis based on the analysis of vibration signals has been a major research topic for a few decades due to the advantages of vibration characteristics.
Cong Dai Nguyen   +3 more
doaj   +1 more source

Classification of Aircraft Maneuvers for Fault Detection [PDF]

open access: yes, 2003
Ensemble classifiers tend to outperform their component base classifiers when the training data are subject to variability. This intuitively makes ensemble classifiers useful for application to the problem of aircraft fault detection. Automated fault detection is an increasingly important problem in aircraft maintenance and operation.
Nikunj C. Oza   +3 more
openaire   +1 more source

A Hybrid Gearbox Fault Diagnosis Method Based on GWO-VMD and DE-KELM

open access: yesApplied Sciences, 2021
In this paper, a vibration signal-based hybrid diagnostic method, including vibration signal adaptive decomposition, vibration signal reconstruction, fault feature extraction, and gearbox fault classification, is proposed to realize fault diagnosis of ...
Gang Yao   +3 more
doaj   +1 more source

Thermal Image Enhancement using Bi-dimensional Empirical Mode Decomposition in Combination with Relevance Vector Machine for Rotating Machinery Fault Diagnosis [PDF]

open access: yes, 2009
In this study, a novel fault diagnosis system for rotating machinery using thermal imaging is proposed. This system consists of bi-dimensional empirical mode decomposition (BEMD) for image enhancement, a generalized discriminant analysis (GDA) for ...
Yang, Bo-Suk   +7 more
core   +1 more source

Effectiveness of Resistance Intradialytic Exercise Compared to Aerobic Intradialytic Exercise for Patients With Chronic Kidney Disease: A Randomized Controlled Clinical Trial

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida   +6 more
wiley   +1 more source

Real-time fault diagnosis and fault-tolerant control [PDF]

open access: yes, 2015
This "Special Section on Real-Time Fault Diagnosis and Fault-Tolerant Control" of the IEEE Transactions on Industrial Electronics is motivated to provide a forum for academic and industrial communities to report recent theoretic/application results in ...
Cecati, Carlo   +2 more
core   +1 more source

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

open access: yesFEBS Letters, EarlyView.
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura   +2 more
wiley   +1 more source

Fault Diagnosis of Reciprocating Compressors Using Revelance Vector Machines with A Genetic Algorithm Based on Vibration Data [PDF]

open access: yes
This paper focuses on the development of an advanced fault classifier for monitoring reciprocating compressors (RC) based on vibration signals. Many feature parameters can be used for fault diagnosis, here the classifier is developed based on a relevance
Gu, Fengshou   +3 more
core   +3 more sources

Home - About - Disclaimer - Privacy