Results 41 to 50 of about 39,327 (311)

Optimization of Fault Identification and Location Using Adaptive Neuro-Fuzzy Inference System and Support Vector Machine for an AC Microgrid

IEEE Access
Conventional methods for high-impedance faults, low fault current levels, and communication delays could not properly identify the fault identification and location of an AC Microgrid.
A. Kurmaiah, C. Vaithilingam
doaj   +1 more source

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

FEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi, Pilar Samperio Ventayol, Natalie Burkard, Nicolas Schlegel, Carmen Aguilar, Sina Bartfeld   +5 more
wiley   +1 more source

Rough set based gas turbine fault isolation study [PDF]

, 2010
Gas path fault isolation is one of the key techniques in Engine Health Management systems. In order to accomplish gas path fault isolation successfully for a gas turbine engine, both an accurate off-design performance model and an effective fault ...
Wang, Lihui.
core  

An Application to Transient Current Signal based Induction Motor Fault Diagnosis of Fourier-Bessel Expansion and Simplified Fuzzy ARTMAP [PDF]

, 2013
The start-up transient signals have been widely used for fault diagnosis of induction motor because they can reveal early defects in the development process, which are not easily detected with the signals in the steady state operation. However, transient
Ball, Andrew, Tran, Van Tung, Choi, Byeong Keun, Al Thobiani, Faisal, AlThobiani, Faisal   +4 more
core   +1 more source

D-S Evidence Theory Based Comprehensive Identification Model for Cause of Grounding Fault in Distribution Network

Zhongguo dianli
Single-phase-to-ground fault (SPGF), being the most prevalent issue in distribution networks, significantly impacts the reliability and safety of the distribution system.
Yunpeng HU, Chenggang DU, Jun QI, Rihong ZHENG, Minfu A, Hao ZHANG, Yongliang LIANG   +6 more
doaj   +1 more source

Sequential fault diagnosis for mechatronics system using diagnostic hybrid bond graph and composite harmony search

Advances in Mechanical Engineering, 2015
This article proposes a sequential fault diagnosis method to handle asynchronous distinct faults using diagnostic hybrid bond graph and composite harmony search. The faults under consideration include fault mode, abrupt fault, and intermittent fault. The
Ming Yu, Juan Xu
doaj   +1 more source

Fast Real-Time RDFT- and GDFT-Based Direct Fault Diagnosis of Induction Motor Drive

Energies, 2022
This paper presents the theoretical analysis and experimental verification of a direct fault harmonic identification approach in a converter-fed electric drive for automated diagnosis purposes.
Piotr Kołodziejek, Daniel Wachowiak
doaj   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

FEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li, Pedro A. Sánchez‐Murcia, Bernd Nidetzky   +2 more
wiley   +1 more source

Least order fault and model detection using multi-models

, 2009
Multi-model based fault detection is often a viable alternative to various multi-model based state estimation techniques using banks of Kalman filters.
A. Varga, Varga, Andreas
core   +1 more source

Analysis of Weak Fault in Hydraulic System Based on Multi-scale Permutation Entropy of Fault-Sensitive Intrinsic Mode Function and Deep Belief Network

Entropy, 2019
With the aim of automatic recognition of weak faults in hydraulic systems, this paper proposes an identification method based on multi-scale permutation entropy feature extraction of fault-sensitive intrinsic mode function (IMF) and deep belief network ...
Jie Huang, Xinqing Wang, Dong Wang, Zhiwei Wang, Xia Hua   +4 more
doaj   +1 more source