Browsing by Subject "Fault diagnosis"
Now showing items 1-9 of 9
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A Dual Particle Filter-Based Fault Diagnosis Scheme for Nonlinear Systems
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)In this paper, a dual estimation methodology is developed for both time-varying parameters and states of a nonlinear stochastic system based on the particle filtering scheme. Our developed methodology is based on a concurrent ... -
A state-of-the-art review on wind power converter fault diagnosis
( Elsevier Ltd , 2022 , Article Review)The rapid expansion of installed wind energy capacity and the continuous development of wind turbine technology has drawn attention to operation and maintenance issues. In order to keep wind power a competitive energy ... -
Data-Based Fault Diagnosis Model Using a Bayesian Causal Analysis Framework
( World Scientific Publishing Co. Pte Ltd , 2018 , Article)This paper provides a comprehensive data-driven diagnosis approach applicable to complex manufacturing industries. The proposed approach is based on the Bayesian network paradigm. Both the implementation of the Bayesian ... -
A deep learning-based approach for fault diagnosis of current-carrying ring in catenary system
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)In the Industrial Internet of Things, the deep learning-based methods are used to help solve various problems. The current-carrying ring as one of important components on the catenary system which is always small in the ... -
Fault detection and isolation of a dual spool gas turbine engine using dynamic neural networks and multiple model approach
( Elsevier Inc. , 2014 , Article)In this paper, a fault detection and isolation (FDI) scheme for an aircraft jet engine is developed. The proposed FDI system is based on the multiple model approach and utilizes dynamic neural networks (DNNs) to accomplish ... -
Fault diagnosis based on deep learning for current-carrying ring of catenary system in sustainable railway transportation
( Elsevier Ltd , 2021 , Article)In the intelligent traffic transportation, the security and stability are vital for the sustainable transportation and efficient logistics. The fault diagnosis on the catenary system is crucial for the railway transportation. ... -
GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults
( IEEE , 2024 , Article)Electrical and mechanical equipment with rotating parts often face the challenge of early breakdown due to defects in the gears or rolling bearings. Automated industrial systems can be significantly impeded by this type ... -
On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach
( Elsevier Ltd , 2022 , Article)Transmission lines (TLs) of power networks are often encountered with a number of faults. To continue normal operation and reduce the damage due to the TL faults, it is a must to identify and classify faults as early as ... -
Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm
( Elsevier B.V. , 2022 , Article)To effectively deal with the operating uncertainties of protective relays and circuit breakers existing in the power system faults, an improved fault section diagnosis (FSD) method is proposed by using Takagi–Sugeno fuzzy ...