The Experts below are selected from a list of 8262 Experts worldwide ranked by ideXlab platform
Iman Sadeghkhani - One of the best experts on this subject based on the ideXlab platform.
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two stage power based Fault Detection Scheme for photovoltaic systems
Solar Energy, 2018Co-Authors: Aria Khoshnami, Iman SadeghkhaniAbstract:Abstract With the high penetration of photovoltaic (PV) systems, Fault Detection Scheme is of great importance for the distribution network operation. The low Fault current makes the Detection of low-irradiance, low-mismatch, and high-impedance Faults a challenging task, especially for PV systems with active maximum power point tracking algorithm and equipped with blocking diodes. Energy loss and potential fire hazard are some consequences of an undetected Fault within the PV array. This paper presents a DC-side Fault Detection Scheme for PV systems that consists of two stages. Using the amplitude of the normalized super-imposed component of PV array power, the first stage detects a disturbance while the second stage distinguishes a Fault condition from partial shading using a wave-shape based feature. The proposed Scheme can properly detect string-to-string, string-to-ground, and open-circuit Faults under different Fault conditions without the need for the prior information about the PV array and the training data set and is effective for both grid-connected and islanded PV systems. The reliable performance of the proposed Fault Detection Scheme is assessed on the simulation models of two PV arrays.
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Two-stage power–based Fault Detection Scheme for photovoltaic systems
Solar Energy, 2018Co-Authors: Aria Khoshnami, Iman SadeghkhaniAbstract:Abstract With the high penetration of photovoltaic (PV) systems, Fault Detection Scheme is of great importance for the distribution network operation. The low Fault current makes the Detection of low-irradiance, low-mismatch, and high-impedance Faults a challenging task, especially for PV systems with active maximum power point tracking algorithm and equipped with blocking diodes. Energy loss and potential fire hazard are some consequences of an undetected Fault within the PV array. This paper presents a DC-side Fault Detection Scheme for PV systems that consists of two stages. Using the amplitude of the normalized super-imposed component of PV array power, the first stage detects a disturbance while the second stage distinguishes a Fault condition from partial shading using a wave-shape based feature. The proposed Scheme can properly detect string-to-string, string-to-ground, and open-circuit Faults under different Fault conditions without the need for the prior information about the PV array and the training data set and is effective for both grid-connected and islanded PV systems. The reliable performance of the proposed Fault Detection Scheme is assessed on the simulation models of two PV arrays.
Yinhe Han - One of the best experts on this subject based on the ideXlab platform.
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SVFD: A Versatile Online Fault Detection Scheme via Checking of Stability Violation
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2011Co-Authors: Guihai Yan, Yinhe HanAbstract:In ultra-deep submicrometer technology, soft errors and device aging are two of the paramount reliability concerns. Although many studies have been done to tackle the two challenges, most take them separately so far, thereby failing to reach better performance-cost tradeoffs. To support a more efficient design tradeoff, we propose a unified Fault Detection Scheme - stability violation-based Fault Detection (SVFD), by which the soft errors (both single event upset and single event transient), aging delay, and delay Faults can be uniformly dealt with. SVFD grounds on a new Fault model, stability violation, derived from analysis of signal behavior. SVFD has been validated by conducting a set of intensive Hspice simulations targeting the next-generation 32-nm CMOS technology. An application of SVFD to a floating-point unit (FPU) is also evaluated. Experimental results show that SVFD has more versatile Fault Detection capability for Fault Detection than several Schemes recently proposed at comparable overhead in terms of area, power, and performance.
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a unified online Fault Detection Scheme via checking of stability violation
Design Automation and Test in Europe, 2009Co-Authors: Guihai Yan, Yinhe HanAbstract:In ultra-deep submicro technology, two of the paramount reliability concerns are soft errors and device aging. Although intensive studies have been done to face the two challenges, most take them separately so far, thereby failing to reach better performance-cost tradeoffs. To support a more efficient design tradeoff, we present a new Fault model, Stability Violation, derived from analysis of signal behavior. Furthermore, we propose a unified Fault Detection Scheme---Stability Violation based Fault Detection (SVFD), by which the soft errors (both Single Event Upset and Single Event Transient), aging delay, and delay Faults can be uniformly handled. SVFD can greatly facilitate soft error-resistant and aging-aware designs. SVFD is validated by conducting a set of intensive Hspice simulations targeting 65nm CMOS technology. Experimental results show that SVFD has more robust capability for Fault Detection than previous Schemes at comparable overhead in terms of area, power, and performance.
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DATE - A unified online Fault Detection Scheme via checking of stability violation
2009 Design Automation & Test in Europe Conference & Exhibition, 2009Co-Authors: Guihai Yan, Yinhe HanAbstract:In ultra-deep submicro technology, two of the paramount reliability concerns are soft errors and device aging. Although intensive studies have been done to face the two challenges, most take them separately so far, thereby failing to reach better performance-cost tradeoffs. To support a more efficient design tradeoff, we present a new Fault model, Stability Violation, derived from analysis of signal behavior. Furthermore, we propose a unified Fault Detection Scheme---Stability Violation based Fault Detection (SVFD), by which the soft errors (both Single Event Upset and Single Event Transient), aging delay, and delay Faults can be uniformly handled. SVFD can greatly facilitate soft error-resistant and aging-aware designs. SVFD is validated by conducting a set of intensive Hspice simulations targeting 65nm CMOS technology. Experimental results show that SVFD has more robust capability for Fault Detection than previous Schemes at comparable overhead in terms of area, power, and performance.
Aria Khoshnami - One of the best experts on this subject based on the ideXlab platform.
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two stage power based Fault Detection Scheme for photovoltaic systems
Solar Energy, 2018Co-Authors: Aria Khoshnami, Iman SadeghkhaniAbstract:Abstract With the high penetration of photovoltaic (PV) systems, Fault Detection Scheme is of great importance for the distribution network operation. The low Fault current makes the Detection of low-irradiance, low-mismatch, and high-impedance Faults a challenging task, especially for PV systems with active maximum power point tracking algorithm and equipped with blocking diodes. Energy loss and potential fire hazard are some consequences of an undetected Fault within the PV array. This paper presents a DC-side Fault Detection Scheme for PV systems that consists of two stages. Using the amplitude of the normalized super-imposed component of PV array power, the first stage detects a disturbance while the second stage distinguishes a Fault condition from partial shading using a wave-shape based feature. The proposed Scheme can properly detect string-to-string, string-to-ground, and open-circuit Faults under different Fault conditions without the need for the prior information about the PV array and the training data set and is effective for both grid-connected and islanded PV systems. The reliable performance of the proposed Fault Detection Scheme is assessed on the simulation models of two PV arrays.
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Two-stage power–based Fault Detection Scheme for photovoltaic systems
Solar Energy, 2018Co-Authors: Aria Khoshnami, Iman SadeghkhaniAbstract:Abstract With the high penetration of photovoltaic (PV) systems, Fault Detection Scheme is of great importance for the distribution network operation. The low Fault current makes the Detection of low-irradiance, low-mismatch, and high-impedance Faults a challenging task, especially for PV systems with active maximum power point tracking algorithm and equipped with blocking diodes. Energy loss and potential fire hazard are some consequences of an undetected Fault within the PV array. This paper presents a DC-side Fault Detection Scheme for PV systems that consists of two stages. Using the amplitude of the normalized super-imposed component of PV array power, the first stage detects a disturbance while the second stage distinguishes a Fault condition from partial shading using a wave-shape based feature. The proposed Scheme can properly detect string-to-string, string-to-ground, and open-circuit Faults under different Fault conditions without the need for the prior information about the PV array and the training data set and is effective for both grid-connected and islanded PV systems. The reliable performance of the proposed Fault Detection Scheme is assessed on the simulation models of two PV arrays.
Guihai Yan - One of the best experts on this subject based on the ideXlab platform.
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SVFD: A Versatile Online Fault Detection Scheme via Checking of Stability Violation
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2011Co-Authors: Guihai Yan, Yinhe HanAbstract:In ultra-deep submicrometer technology, soft errors and device aging are two of the paramount reliability concerns. Although many studies have been done to tackle the two challenges, most take them separately so far, thereby failing to reach better performance-cost tradeoffs. To support a more efficient design tradeoff, we propose a unified Fault Detection Scheme - stability violation-based Fault Detection (SVFD), by which the soft errors (both single event upset and single event transient), aging delay, and delay Faults can be uniformly dealt with. SVFD grounds on a new Fault model, stability violation, derived from analysis of signal behavior. SVFD has been validated by conducting a set of intensive Hspice simulations targeting the next-generation 32-nm CMOS technology. An application of SVFD to a floating-point unit (FPU) is also evaluated. Experimental results show that SVFD has more versatile Fault Detection capability for Fault Detection than several Schemes recently proposed at comparable overhead in terms of area, power, and performance.
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a unified online Fault Detection Scheme via checking of stability violation
Design Automation and Test in Europe, 2009Co-Authors: Guihai Yan, Yinhe HanAbstract:In ultra-deep submicro technology, two of the paramount reliability concerns are soft errors and device aging. Although intensive studies have been done to face the two challenges, most take them separately so far, thereby failing to reach better performance-cost tradeoffs. To support a more efficient design tradeoff, we present a new Fault model, Stability Violation, derived from analysis of signal behavior. Furthermore, we propose a unified Fault Detection Scheme---Stability Violation based Fault Detection (SVFD), by which the soft errors (both Single Event Upset and Single Event Transient), aging delay, and delay Faults can be uniformly handled. SVFD can greatly facilitate soft error-resistant and aging-aware designs. SVFD is validated by conducting a set of intensive Hspice simulations targeting 65nm CMOS technology. Experimental results show that SVFD has more robust capability for Fault Detection than previous Schemes at comparable overhead in terms of area, power, and performance.
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DATE - A unified online Fault Detection Scheme via checking of stability violation
2009 Design Automation & Test in Europe Conference & Exhibition, 2009Co-Authors: Guihai Yan, Yinhe HanAbstract:In ultra-deep submicro technology, two of the paramount reliability concerns are soft errors and device aging. Although intensive studies have been done to face the two challenges, most take them separately so far, thereby failing to reach better performance-cost tradeoffs. To support a more efficient design tradeoff, we present a new Fault model, Stability Violation, derived from analysis of signal behavior. Furthermore, we propose a unified Fault Detection Scheme---Stability Violation based Fault Detection (SVFD), by which the soft errors (both Single Event Upset and Single Event Transient), aging delay, and delay Faults can be uniformly handled. SVFD can greatly facilitate soft error-resistant and aging-aware designs. SVFD is validated by conducting a set of intensive Hspice simulations targeting 65nm CMOS technology. Experimental results show that SVFD has more robust capability for Fault Detection than previous Schemes at comparable overhead in terms of area, power, and performance.
K. Khorasani - One of the best experts on this subject based on the ideXlab platform.
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A robust intelligent Fault Detection Scheme for magnetorquer type actuators of satellites
2007 European Control Conference (ECC), 2007Co-Authors: Heidar Ali Talebi, K. KhorasaniAbstract:In this paper, the problem of robust Fault Detection for general nonlinear systems subject to state and sensor uncertainties and disturbances is considered. A nonlinear observer-based strategy is proposed where a recurrent nonlinear-inparameters neural network (NLPNN) is employed to identify the general unknown Fault. The neural network weights are updated based on a modified dynamic backpropagation Scheme. The proposed Fault Detection Scheme does not rely on the availability of all state measurements. The ultimate boundedness of the state estimation error, neural network weights errors, and neural network gradients in the presence of an unknown Fault as well as plant and sensor uncertainties is shown using Lyapunov's direct method. The performance of the proposed Fault Detection strategy is evaluated via simulations performed on a satellite attitude control systems consisting of magnetorquer type actuators.
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SMC - Fault Detection and isolation for uncertain nonlinear systems with application to a satellite reaction wheel actuator
2007 IEEE International Conference on Systems Man and Cybernetics, 2007Co-Authors: Heidar Ali Talebi, R.v. Patel, K. KhorasaniAbstract:This paper presents an actuator Fault Detection and Isolation (FDI) Scheme for nonlinear systems. A state space approach is used and a nonlinear-in-parameters neural network (NLPNN) is employed to identify the additive unknown Fault. The FDI Scheme is based on a hybrid model (composed of an analytical nominal model and a neural network model) of the nonlinear system. The nominal performance of the system in Fault free operation is governed by analytical model whereas the uncertainties and unmodeled dynamics are accounted for by intelligent (neural network based) model. The neural network weights are updated based on a modified backpropagation Scheme. The stability of the overall Fault Detection Scheme is shown using Lyapunov's direct method. To evaluate the performance of the proposed Fault Detection Scheme, FDI in a spacecraft attitude control systems with reaction wheel type of actuators is considered as a case study. Simulation results are presented to show the effectiveness of the proposed Fault Detection Scheme.
