Results 31 to 40 of about 35,187 (315)

Classification of Aircraft Maneuvers for Fault Detection [PDF]

, 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, Kagan Tumer, Irem Y. Tumer, Edward M. Huff   +3 more
openaire   +1 more source

A Novel Multimode Fault Classification Method Based on Deep Learning

Journal 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

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

Sensors, 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, Alexander E. Prosvirin, Cheol Hong Kim, Jong-Myon Kim   +3 more
doaj   +1 more source

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

Applied 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, Yunce Wang, Mohamed Benbouzid, Mourad Ait-Ahmed   +3 more
doaj   +1 more source

A fast fault classification technique for power systems [PDF]

, 2014
This paper proposes a fast fault classification technique using three phase current signals for power systems. Digital Fourier Transform, the ‘Least Square’ method or the Kalman Filtering technique are used to extract fundamental frequency components of ...
Nouri, Hassan, Wang, Chun
core   +1 more source

Applying a Robust Heteroscedastic Probabilistic Neural Network to Analog Fault Detection and Classification

, 2000
The problem of distinguishing and classifying the responses of analog integrated circuits containing catastrophic faults has aroused recent interest. The problem is made more difficult when parametric variations are taken into account. Hence, statistical
Chalk, C D, Zwolinski, M, Zwolinski, Mark, Yang, Zheng Rong, Williams, Alan Christopher, Yang, Z R, Williams, A C, Chalk, Chris D.   +7 more
core   +1 more source

Hospitalization Through Families’ Eyes: Comparing Inpatient Care Quality for Children With Sickle Cell Disease and Cystic Fibrosis in Canada

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker, Kyle Kemp, Perri Tutelman, Sharon H. J. Hou, Paul Fairie, Maria Santana, Gregory M. T. Guilcher, Taryn Fay‐McClymont, Glenda Bendiak, Wendy Pelletier, Nicola Wright, Fiona Schulte   +11 more
wiley   +1 more source

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm, Bea Tornberg, Erik Delsing Malmberg, Henrik Hasle, Kristian Løvvik Juul‐Dam, Lars Palmqvist, Borhan R. Saeed, Giti Shah Barkhordar, Anastasia Soboli, Anna Staffas, Jonas Abrahamsson, Linda Fogelstrand   +11 more
wiley   +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

Analog Circuit Fault Classification and Data Reduction Using PCA-ANFIS Technique Aided by K-means Clustering Approach

Advances in Electrical and Computer Engineering, 2022
The paper work aims to extract effectively the fault feature information of analog integrated circuits and to improve the performance of a fault classification process. Thus, a fault classification method based on principal component analysis (PCA) and
LAIDANI, I., BOUROUBA, N.
doaj   +1 more source