Results 11 to 20 of about 788,688 (243)

A Deep Learning Method for Bearing Cross-Domain Fault Diagnostics Based on the Standard Envelope Spectrum [PDF]

open access: yesSensors
Intelligent fault diagnostics based on deep learning provides a favorable guarantee for the reliable operation of equipment, but a trained deep learning model generally has low prediction accuracy in cross-domain diagnostics.
Lubin Zhai   +3 more
doaj   +3 more sources

Digital Twin for Training Bayesian Networks for Fault Diagnostics of Manufacturing Systems [PDF]

open access: yesSensors, 2022
Smart manufacturing systems are being advocated to leverage technological advances that enable them to be more resilient to faults through rapid diagnosis for performance assurance.
Toyosi Ademujimi, Vittaldas Prabhu
doaj   +2 more sources

Sensors and Fault Diagnostics in Power System [PDF]

open access: yesSensors
The adequate technical condition assessment of key apparatuses is a crucial assumption in the delivery of reliable and continuous electric power to customers [...]
Michal Kunicki   +2 more
openaire   +4 more sources

Fault Diagnostics Based on the Analysis of Probability Distributions Estimated Using a Particle Filter [PDF]

open access: yesSensors
This paper proposes a monitoring procedure based on characterizing state probability distributions estimated using particle filters. The work highlights what types of information can be obtained during state estimation and how the revealed information ...
András Darányi, János Abonyi
doaj   +2 more sources

Advanced gas-path fault diagnostics for stationary gas turbines [PDF]

open access: yes, 2003
The reliabilities of the gas-path components (compressor, burners and turbines) of a gas turbine (GT) are usually high when compared with those of other GT systems such as fuel supply and control.
Ogaji, Stephen O. T.
core   +7 more sources

Gas-path Diagnostics and Prognostics for Aero-engines Using Fuzzy Logic and Time Series Analysis [PDF]

open access: yes, 2004
Reducing the direct operating-costs is now crucial in order to ensure competitive advantages for airlines and manufacturers, and so effective advanced engine-condition monitoring methodologies are necessary.
Marinai, Luca
core   +7 more sources

Rough set based gas turbine fault isolation study [PDF]

open access: yes, 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   +7 more sources

Dataset of low global warming potential refrigerant refrigeration system for fault detection and diagnostics

open access: yesScientific Data, 2021
Measurement(s) fault detection and diagnostics • temperature • pressure • mass flow rate • power Technology Type(s) fault imposition • measurement device Factor Type(s) fault type • fault scenario Sample Characteristic - Environment refrigeration system ...
Jian Sun   +5 more
doaj   +1 more source

Fault Isolation in Network of State Automates

open access: yesИзвестия высших учебных заведений России: Радиоэлектроника, 2020
Introduction. In the paper a fault isolation problem in the devices combining digital unit by functional diagnostics methods is considered. Networks of state automates are accepted as mathematical models of the devices.
I. V. Bystrova, B. P. Podkopaev
doaj   +1 more source

A Multistage Deep Transfer Learning Method for Machinery Fault Diagnostics Across Diverse Working Conditions and Devices

open access: yesIEEE Access, 2020
Deep learning methods have promoted the vibration-based machinery fault diagnostics from manual feature extraction to an end-to-end solution in the past few years and exhibited great success on various diagnostics tasks. However, this success is based on
Jian Zhou   +3 more
doaj   +1 more source

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