Results 101 to 110 of about 2,214,988 (289)

Fault diagnosis of permanent magnet synchronous motor based on MTF fusion image and NRBO-SCN method

Scientific Reports
To address the limitations of conventional feature extraction methods in capturing fault information from operational current signals, the paper proposes a novel fault diagnosis method for permanent magnet synchronous motor (PMSM).
Yinquan Yu, Hongping Ge, Giuseppe Carbone, Dequan Zeng, Yiming Hu, Jinwen Yang   +5 more
doaj   +1 more source

Bearing Fault Diagnosis Based on Vibration Envelope Spectral Characteristics

Applied Sciences
Deep learning methods based on neural network models have been widely applied to bearing fault classification. Although they can achieve high accuracy, they also come with significant complexity.
Yang Chen, Qifu Chen, Rui Wang
doaj   +1 more source

Induction machine fault detection enhancement using a stator current high resolution spectrum [PDF]

, 2012
Fault detection in squirrel cage induction machines based on stator current spectrum has been widely investigated. Several high resolution spectral estimation techniques have been developed and used to detect induction machine abnormal operating ...
CHARPENTIER, Jean-Frederic, Vincent Choqueuse, EL BOUCHIKHI, El Houssin, BENBOUZID, Mohamed, Choqueuse, Vincent, V., Mohamed Benbouzid, El Houssin El Bouchikhi, Jean Frederic Charpentier, CHOQUEUSE, Vincent   +8 more
core   +1 more source

Identification and characterisation of calcitonin receptor isoforms expressed in glioblastoma derived glioma stem and U‐87 MG cells

FEBS Open Bio, EarlyView.
Glioblastoma cells express calcitonin receptor variants (CT receptor isoforms) that may help them survive stress. Using qPCR, transcript‐specific long‐read nanopore sequencing, immunofluorescence co‐localisation and comparative sequence analysis, this study identifies a novel alternatively spliced CALCR transcript that encodes the CTb receptor isoform ...
Pragya Gupta, Sebastian GB Furness, Tahereh Gharbi, Ric De Paoli‐Iseppi, Shweta S. Joshi, Michael Clark, David L. Hare, Peter Wookey   +7 more
wiley   +1 more source

Using cell‐free RNA to identify B‐ and T‐cell clonality for diagnosis and monitoring of B‐ and T‐cell neoplasms

FEBS Open Bio, EarlyView.
Using peripheral blood for determining B‐cell or T‐cell clonality is more reliable when we use cell‐free RNA (cfRNA) because cells release blood significantly more RNA than DNA. Next‐generation sequencing (NGS) of cfRNA allows us to evaluate fragment cfRNA and evaluate clonality reliably without the need for prior determination of the specific dominant
Adam Albitar, Sally Agersborg, Ahmed Charifa, Pooja Phull, Noa Biran, David Vesole, Harsh Parmar, Andrew Pecora, Andrew Ip, Andre Goy, David Siegel, Maher Albitar   +11 more
wiley   +1 more source

Structural and biochemical insights into the thermostable esterase Ta0887 from Thermoplasma acidophilum

FEBS Open Bio, EarlyView.
In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey, Miriam Livier Llamas‐García, Gabriela M. Montero‐Morán, Leticia Santos, Samuel Lara‐González   +4 more
wiley   +1 more source

A minimal cellulosome‐like system in Cellulosilyticum lentocellum

FEBS Open Bio, EarlyView.
Cellulose‐degrading bacteria typically use cellulosomes, large multi‐enzyme complexes on a scaffold protein. In Cellulosilyticum lentocellum, we characterise a far smaller arrangement, a single scaffold bound to one cellulase through a single cohesin‐dockerin interaction.
John Allan, Amias Alstrom‐Moore, Gary W Black   +2 more
wiley   +1 more source

Induction motor bearing fault classification using deep neural network with particle swarm optimization‐extreme gradient boosting

IET Electric Power Applications
Intelligent motor fault diagnosis in industrial applications requires identifying key characteristics to differentiate various fault types effectively.
Chun‐Yao Lee, Edu Daryl C. Maceren
doaj   +1 more source

Fault Classification and Localization in Power Transmission Lines Using LSTM and Vibration Data Analysis

NTU Journal of Engineering and Technology
The precise classification and localization of faults in power transmission lines are very important to ensure grid stability and to minimize service interruptions. Traditional methods of fault detection frequently have difficulty with complicated fault
Enas Ali Ahmed, Muna Hassan Hussein, Mohammed Talal Ghazal   +2 more
doaj   +1 more source

A data enlargement strategy for fault classification through a convolutional auto-encoder

MATEC Web of Conferences, 2019
The amount of data is of crucial to the accuracy of fault classification through machine learning techniques. In wind energy harvest industry, due to the shortage of faulty data obtained in real practice, together with ever changing operational ...
Hao Cui, Kesheng Wang, Yu Li, Binyuan Yang, Qiang miao   +4 more
doaj   +1 more source