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السجلات المعروضة 6937 -- 6956 من 17618
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Fatigue life prediction of the additively manufactured specimen
( IOP Publishing Ltd , 2022 , Article)Additively manufactured specimens generally exhibit comparable or improved tensile properties, such as yield stress, ultimate tensile strength, and uniform elongation, compared to conventionally manufactured specimens. ... -
Fatigue-Life-Prediction-by-Means-of-Nonconstant-Variance-Probabilistic-Neural-Network
(2022 , Dataset)The modelling of fatigue using machine learning (ML) has been gaining traction in the engineering community. Among ML techniques, the use of probabilistic neural networks (PNNs) has recently emerged as a candidate for ... -
Fatty acid composition of twelve algae from the Coastal Zones of Qatar
( Kluwer Academic Publishers , 1997 , Article)Fatty acid composition of twelve algal species from two different classes were determined. Three Chlorophyta species(Axetabularia calyxulux, Cladophors sericoides and Dictyosphaeria cavernosa) and nine Phaephyta species ... -
Fatty acid-binding protein 5 (FABP5)-related signal transduction pathway in castration-resistant prostate cancer cells: a potential therapeutic target
( Oxford University Press , 2019 , Article Review)In this short communication, a novel fatty acid-binding protein 5 (FABP5)-related signal transduction pathway in prostate cancer is reviewed. In castration-resistant prostate cancer (CRPC) cells, the FABP5-related signal ... -
Fatty acids composition of Fifty-one plant species growing in Qatar
(2004 , Article)Fatty acids and lipids composition of fifty one species growing in Qatar belonging to twenty one families and forty three genera are reported -
Fatwa on Sattelite TV and the development of islamic Religious discourse
( Intellect , 2017 , Article)Satellite TV and the Internet revolutions have reinvigorated religious discourse in public spaces. Across the world, religious TV channels and Internet religious websites have taken up the roles of traditional religious ... -
Fault and performance management in multi-cloud based NFV using shallow and deep predictive structures
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Deployment of Network Function Virtualization (NFV) over multiple clouds accentuates its advantages like flexibility of virtualization, proximity to customers and lower total cost of operation. However, NFV over multiple ... -
Fault and performance management in multi-cloud based NFV using shallow and deep predictive structures
( Springer , 2017 , Article)Deployment of network function virtualization (NFV) over multiple clouds accentuates its advantages such as flexibility of virtualization, proximity to customers and lower total cost of operation. However, NFV over multiple ... -
Fault and performance management in multi-cloud virtual network services using AI: A tutorial and a case study
( Elsevier B.V. , 2019 , Article)Carriers find Network Function Virtualization (NFV) and multi-cloud computing a potent combination for deploying their network services. The resulting virtual network services (VNS) offer great flexibility and cost advantages ... -
Fault classification using convolutional neural networks and color channels for time-frequency analysis of acoustic emissions
( SAGE Publications Inc. , 2023 , Article)We present a novel method for real-time fault classification using the time history of acoustic emissions (AEs) recorded from a lab-scale gas turbine operating under normal and faulty conditions across multiple turbine ... -
Fault current contribution scenarios for grid-connected voltage source inverter-based distributed generation with an LCL filter
( Elsevier , 2013 , Article)Inverter-based distributed generation (IBDG) is characterized by its negligible fault current contribution compared with synchronous generators due to its inherent non-overload capabilities. Thus, IBDG hardly affects 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 detection and isolation of Fornasini-Marchesini 2D systems: A geometric approach
( IEEE , 2014 , Conference Paper)The fault detection and isolation (FDI) problem for discrete-time two-dimensional (2D) systems represented by the Fornasini-Marchesini model II is investigated in this work. It is shown that the sufficient conditions for ... -
Fault detection and isolation of linear impulsive systems
( IEEE , 2011 , Article)This technical note investigates the development of fault detection and isolation (FDI) filters for linear impulsive systems. The concept of an unobservability subspace is introduced for linear impulsive systems and an ... -
Fault detection and isolation of Riesz spectral systems: A geometric approach
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)The Riesz spectral (RS) systems represent a large class of parabolic and hyperbolic partial differential equations (PDE) in infinite-dimensional systems. In this work, a fault detection and isolation (FDI) methodology for ... -
Fault detection and isolation of the wind turbine based on the real-valued negative selection algorithm
( 2013 7th IEEE GCC Conference and Exhibition, GCC 2013 , 2013 , Conference Paper)This paper presents an immune-inspired approach for detecting and isolating faults in a wind turbine system. A negative selection algorithm (NSA) is proposed which is derived from a mechanism in vertebrate immune systems ... -
Fault detection and isolation of two-dimensional (2D) systems
( Elsevier B.V. , 2017 , Article)In this work, we develop a novel fault detection and isolation (FDI) scheme for discrete-time two-dimensional (2D) systems that are represented by the Fornasini?Marchesini model II (FMII). This is accomplished by generalizing ... -
Fault detection and isolation: Multi-vehicle unmanned systems
( Springer New York , 2011 , Book)Fault Detection and Isolation: Multi-Vehicle Unmanned Systems deals with the design and development of fault detection and isolation algorithms for unmanned vehicles such as spacecraft, aerial drones and other related ... -
Fault detection and severity identification of ball bearings by online condition monitoring
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)This paper presents a fast, accurate, and simple systematic approach for online condition monitoring and severity identification of ball bearings. This approach utilizes compact one-dimensional (1-D) convolutional neural ... -
Fault detection in modular multilevel converter using principle component analysis
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Modular multilevel converter is becoming a great candidate for high power applications due to its valuable features. However, its higher performance comes at the expenses of higher complexity, which increases the risks of ...
