Results 51 to 60 of about 35,187 (315)

Fault estimation and fault-tolerant control for discrete-time dynamic systems

, 2015
In this paper, a novel discrete-time estimator is proposed, which is employed for simultaneous estimation of system states, and actuator/sensor faults in a discrete-time dynamic system.
Gao, Zhiwei
core   +1 more source

Multi–Output Classification Based on Convolutional Neural Network Model for Untrained Compound Fault Diagnosis of Rotor Systems with Non–Contact Sensors

, 2023
Fault diagnosis is important in rotor systems because severe damage can occur during the operation of systems under harsh conditions. The advancements in machine learning and deep learning have led to enhanced performance of classification. Two important
Byeongil Kim, Dongwoo Hong, Taehwan Son
core   +1 more source

Fault Handling in Industry 4.0: Definition, Process and Applications

Sensors, 2022
The increase of productivity and decrease of production loss is an important goal for modern industry to stay economically competitive. For that, efficient fault management and quick amendment of faults in production lines are needed.
Heiko Webert, Tamara Döß, Lukas Kaupp, Stephan Simons   +3 more
doaj   +1 more source

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

FEBS 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, Shin‐ichi Tate, Kyota Yasuda   +2 more
wiley   +1 more source

Performance Comparison Between Deep Learning Models for Fault Classification in Transmission Lines Using Time Series Data

Energy Science & Engineering
Deep learning has become a vital tool for addressing complex challenges in power systems, particularly fault detection and classification in transmission lines. This study presents a comparative analysis of three advanced time‐series models like temporal
Nadeem Ahmed Tunio, Mohsin Ali Tunio, Muhammad Amir Raza, Muhammad Faheem, Ashfaque Ahmed Hashmani, Rumaisa Nadeem   +5 more
doaj   +1 more source

Rolling Bearing Fault Diagnosis Method Based on Fusion of CNN and CSSVM

Journal of Harbin University of Science and Technology
Aiming at the problems of low classification accuracy and weak model generalization ability of traditional fault diagnosis classification methods in the fault diagnosis of rolling bearings in rotating machinery, an intelligent fault diagnosis model based
LI Yunfeng, LAN Xiaosheng, SHEN Hongchang, XU Tongle   +3 more
doaj   +1 more source

Faults Classification Of Power Electronic Circuits Based On A Support Vector Data Description Method

Metrology and Measurement Systems, 2015
Power electronic circuits (PECs) are prone to various failures, whose classification is of paramount importance. This paper presents a data-driven based fault diagnosis technique, which employs a support vector data description (SVDD) method to perform ...
Cui Jiang
doaj   +1 more source

pH‐mediated activation of the lysosomal arginine sensor SLC38A9

FEBS Letters, EarlyView.
Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley   +1 more source

A Monitoring System for Online Fault Detection and Classification in Photovoltaic Plants

, 2020
Photovoltaic (PV) energy use has been increasing recently, mainly due to new policies all over the world to reduce the application of fossil fuels. PV system efficiency is highly dependent on environmental variables, besides being affected by several ...
Clayton Hilgemberg da Costa, Marcelo Paludetto Rodrigues, Guilherme Dan Yamada, Rodrigo Braun dos Santos, Paulo Cézar Stadzisz, Robson Ribeiro Linhares, Elder Oroski, André Eugênio Lazzaretti, Gilberto Lexinoski, Rafael Eleodoro de Goes, Júlio Shigeaki Omori, Guilherme Luiz Moritz   +11 more
core   +1 more source

Research on fault diagnosis method of aviation cable based on improved Adaboost

Advances in Mechanical Engineering, 2022
In order to solve the problems of short circuit, open circuit and insulation faults in aviation cables, a fault diagnosis method based on BP-Adaboost algorithm is proposed in this paper.
Falin Wang, Gang Yuan, Chaoyang Guo, Zhinong Li   +3 more
doaj   +1 more source