Relevant bibliographies by topics / Fault-tolerant operating strategy

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Academic literature on the topic 'Fault-tolerant operating strategy'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Fault-tolerant operating strategy"

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Fahad, Mohammad, Mohd Tariq, Adil Sarwar, et al. "Asymmetric Multilevel Inverter Topology and Its Fault Management Strategy for High-Reliability Applications." Energies 14, no. 14 (2021): 4302. http://dx.doi.org/10.3390/en14144302.

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As the applications of power electronic converters increase across multiple domains, so do the associated challenges. With multilevel inverters (MLIs) being one of the key technologies used in renewable systems and electrification, their reliability and fault ride-through capabilities are highly desirable. While using a large number of semiconductor components that are the leading cause of failures in power electronics systems, fault tolerance against switch open-circuit faults is necessary, especially in remote applications with substantial maintenance penalties or safety-critical operation. In this paper, a fault-tolerant asymmetric reduced device count multilevel inverter topology producing an 11-level output under healthy conditions and capable of operating after open-circuit fault in any switch is presented. Nearest-level control (NLC) based Pulse width modulation is implemented and is updated post-fault to continue operation at an acceptable power quality. Reliability analysis of the structure is carried out to assess the benefits of fault tolerance. The topology is compared with various fault-tolerant topologies discussed in the recent literature. Moreover, an artificial intelligence (AI)-based fault detection method is proposed as a machine learning classification problem using decision trees. The fault detection method is successful in detecting fault location with low computational requirements and desirable accuracy.
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Jia, Huili, Jiaqiang Yang, Rongfeng Deng, and Yan Wang. "Loss Investigation for Multiphase Induction Machine under Open-Circuit Fault Using Field–Circuit Coupling Finite Element Method." Energies 14, no. 18 (2021): 5686. http://dx.doi.org/10.3390/en14185686.

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This paper focuses on the loss estimation for the multiphase induction machine (IM) operating under fault-tolerant conditions through the field–circuit coupling finite element method (FEM). Both one-phase and two-phase open-circuit faults of a seven-phase IM are researched, and different spatial positions of the fault phases are taken into consideration. The magnitudes and phase angles of the residual phase’s current are deduced based on the principle of equal magnitude of the residual phase currents and unchanged fundamental magnetic motive force (MMF). The magnetic fields’ coupling between the fundamental and harmonic planes is analyzed. Then, the time-stepping electromagnetic fields calculation of the seven-phase IM are carried out under the commercial software Simplorer–Maxwell environment. The transient and steady performance for both the health and fault conditions are obtained based on the rotor field-oriented control (RFOC) strategy. The Joule loss and iron loss are calculated for the torque step and slope responses. The seven-phase motor driving platform is established to verify the numerical calculation results. The proposed method is effective for predicting the loss and designing a reasonable operating range for multiphase IM operating under fault-tolerant conditions considering the thermal balance.
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Cruz, Sérgio M. A., André M. S. Mendes, and António J. Marques Cardoso. "A New Fault Diagnosis Method and a Fault-Tolerant Switching Strategy for Matrix Converters Operating With Optimum Alesina-Venturini Modulation." IEEE Transactions on Industrial Electronics 59, no. 1 (2012): 269–80. http://dx.doi.org/10.1109/tie.2011.2161062.

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Yang, Xue-Bin, Xin-Qiao Jin, Zhi-Min Du, Bo Fan, and Yong-Hua Zhu. "Optimum operating performance based online fault-tolerant control strategy for sensor faults in air conditioning systems." Automation in Construction 37 (January 2014): 145–54. http://dx.doi.org/10.1016/j.autcon.2013.10.011.

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Coppola, Marino, Pierluigi Guerriero, Adolfo Dannier, Santolo Daliento, Davide Lauria, and Andrea Del Pizzo. "Control of a Fault-Tolerant Photovoltaic Energy Converter in Island Operation." Energies 13, no. 12 (2020): 3201. http://dx.doi.org/10.3390/en13123201.

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The paper deals with design and control of a fault tolerant and reconfigurable photovoltaic converter integrating a Battery Energy Storage System as a standby backup energy resource. When a failure occurs, an appropriate control method makes the energy conversion system capable of operating in open-delta configuration in parallel with the grid as well as in islanded mode. In case network voltage is lacking due to heavy anomalies or maintenance reasons, the proposed control system is able to quickly disconnect the inverter from the grid while ensuring the energy continuity to the local load and the emergency fixtures by means of the integrated battery packs. In particular, the paper proposes a fast islanding detection method essential for the correct operation of the control system. This specific technique is based on the Hilbert transform of the voltage of the point of common coupling, and it identifies the utility lack in a period of time equal to half a grid cycle in the best case (i.e., 10 ms), thus resulting in good speed performance fully meeting the standard requirements. A thorough numerical investigation is carried out with reference to a representative case study in order to demonstrate the feasibility and the effectiveness of the proposed control strategy.
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Patan, Krzysztof, Maciej Patan, and Kamil Klimkowicz. "Sensor Fault-Tolerant Control Design for Magnetic Brake System." Sensors 20, no. 16 (2020): 4598. http://dx.doi.org/10.3390/s20164598.

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The purpose of the paper is to develop an efficient approach to fault-tolerant control for nonlinear systems of magnetic brakes. The challenging problems of accurate modeling, reliable fault detection and a control design able to compensate for potential sensor faults are addressed. The main idea here is to make use of the repetitive character of the control task and apply iterative learning control based on the observational data to accurately tune the system models for different states of the system. The proposed control scheme uses a learning controller built on a mixture of neural networks that estimate system responses for various operating points; it is then able to adapt to changing working conditions of the device. Then, using the tracking error norm as a sufficient statistic for detection of sensor fault, a simple thresholding technique is provided for verification of the hypothesis on abnormal sensor states. This also makes it possible to start the reconstruction of faulty sensor signals to properly compensate for the control of the system. The paper highlights the components of the complete iterative learning procedure including the system identification, fault detection and fault-tolerant control. Additionally, a series of experiments was conducted for the developed control strategy applied to a magnetic brake system to track the desired reference with the acceptable accuracy level, taking into account various fault scenarios.
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Amor, Mondher, Taoufik Ladhari, Salim Hadj Said, and Faouzi M’Sahli. "Fault-Tolerant Control for Three-Tank System in Case of Sensor Faults." Mathematical Problems in Engineering 2021 (January 18, 2021): 1–13. http://dx.doi.org/10.1155/2021/8856571.

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This research paper would be devoted to the application of a fault-tolerant control (FTC) for a benchmark system composed of three interconnected tanks in case of sensor faults. The control scheme includes two blocks: fault detection and isolation (FDI) block and a control law reconfiguration block. The strategy of the FDI method is based on a bank of high gain observers; each of them is constructed to estimate the system state vector. Thus, the diagnostic signal-residuals are generated by the comparison of measured and estimated outputs and the faulty sensor is isolated. The reconfiguration block performs an update of the controller parameters according to the operating mode. The application of this method to a pilot plant demonstrates that the hydrographic system maintains quite performances after sensor faults occurrence.
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Mousavi, Yashar, Geraint Bevan, Ibrahim Beklan Küçükdemiral, and Afef Fekih. "Maximum Power Extraction from Wind Turbines Using a Fault-Tolerant Fractional-Order Nonsingular Terminal Sliding Mode Controller." Energies 14, no. 18 (2021): 5887. http://dx.doi.org/10.3390/en14185887.

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This work presents a nonlinear control approach to maximise the power extraction of wind energy conversion systems (WECSs) operating below their rated wind speeds. Due to nonlinearities associated with the dynamics of WECSs, the stochastic nature of wind, and the inevitable presence of faults in practice, developing reliable fault-tolerant control strategies to guarantee maximum power production of WECSs has always been considered important. A fault-tolerant fractional-order nonsingular terminal sliding mode control (FNTSMC) strategy to maximize the captured power of wind turbines (WT) subjected to actuator faults is developed. A nonsingular terminal sliding surface is proposed to ensure fast finite-time convergence, whereas the incorporation of fractional calculus in the controller enhances the convergence speed of system states and simultaneously suppresses chattering, resulting in extracted power maximisation by precisely tracking the optimum rotor speed. Closed-loop stability is analysed and validated through the Lyapunov stability criterion. Comparative numerical simulation analysis is carried out on a two-mass WT, and superior power production performance of the proposed method over other methods is demonstrated, both in fault-free and faulty situations.
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Li, Yan, Peng Xiang, and Yandong Chen. "A Secondary Reconfigurable Inverter and Its Control Strategy." Applied Sciences 10, no. 20 (2020): 7021. http://dx.doi.org/10.3390/app10207021.

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This article proposes a topology of the secondary reconfigurable inverter and the corresponding fault-tolerant control strategy. When the secondary reconfigurable inverter is operating normally, its topology structure is the TPSS circuit. When the power semiconductor devices in the inverter are faulty, the inverter circuit needs to be reconfigured. After removing the faulty power semiconductor devices, the remaining power semiconductor devices and the DC side powers are reconstructed as the TPFS structure to keep the system running normally. This article also proposes a switch-pulse-resetting algorithm. This paper adopts the control strategy connecting the constant-voltage, constant-frequency control method with the switch pulse resetting algorithm. It need not change the control algorithm when the proposed reconfigurable inverter is transformed from the normal running state into the faulty running state. The inverter dependability is greatly improved. Finally, the feasibility and effectiveness of the proposed second reconfigurable inverter topology and control strategy are verified by simulation and experiment.
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Makkawi, Khoder, Nourdine Ait-Tmazirte, Maan El Badaoui El Najjar та Nazih Moubayed. "Adaptive Diagnosis for Fault Tolerant Data Fusion Based on α-Rényi Divergence Strategy for Vehicle Localization". Entropy 23, № 4 (2021): 463. http://dx.doi.org/10.3390/e23040463.

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When applying a diagnostic technique to complex systems, whose dynamics, constraints, and environment evolve over time, being able to re-evaluate the residuals that are capable of detecting defaults and proposing the most appropriate ones can quickly prove to make sense. For this purpose, the concept of adaptive diagnosis is introduced. In this work, the contributions of information theory are investigated in order to propose a Fault-Tolerant multi-sensor data fusion framework. This work is part of studies proposing an architecture combining a stochastic filter for state estimation with a diagnostic layer with the aim of proposing a safe and accurate state estimation from potentially inconsistent or erroneous sensors measurements. From the design of the residuals, using α-Rényi Divergence (α-RD), to the optimization of the decision threshold, through the establishment of a function that is dedicated to the choice of α at each moment, we detail each step of the proposed automated decision-support framework. We also dwell on: (1) the consequences of the degree of freedom provided by this α parameter and on (2) the application-dictated policy to design the α tuning function playing on the overall performance of the system (detection rate, false alarms, and missed detection rates). Finally, we present a real application case on which this framework has been tested. The problem of multi-sensor localization, integrating sensors whose operating range is variable according to the environment crossed, is a case study to illustrate the contributions of such an approach and show the performance.
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Dissertations / Theses on the topic "Fault-tolerant operating strategy"

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Lee, Youngkook. "A Stator Turn Fault Detection Method and a Fault-Tolerant Operating Strategy for Interior PM Synchronous Motor Drives in Safety-Critical Applications." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16156.

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A stator turn fault in a safety-critical drive application must be detected at its initial stage and imperatively requires an evasive action to prevent a serious accident caused by an abrupt interruption in the drive s operation. However, this is much challenging for the case of an interior permanent magnet synchronous motor (IPMSM) drives because of the presence of the permanent magnets that cannot be turned off at will. This work tackles the problem of increase the stator turn fault tolerance of IPMSM drives in safety-critical applications. This objective is achieved by an on-line turn fault detection method and a simple turn fault-tolerant operating strategy. In this work, it is shown that a stator turn fault in a current-controlled voltage source inverter-driven machine leads to a reduced fundamental positive sequence component of the voltage references as compared to the machine without a turn fault for a given torque reference and rotating speed. Based on this finding, a voltage reference-based turn fault detection method is proposed. In addition, it is also revealed that an adjustment to the level of the rotating magnetic flux in an appropriate manner can yield a significant reduction in the propagation speed of the fault and possibly prevention of the fault from spreading to the entire winding. This would be accomplished without any hardware modification. Based on this principle, a stator turn fault-tolerant operating strategy for IPMSM drives maintaining drive s availability is proposed. To evaluate these turn fault detection method and fault-tolerant operating strategy, an electrical model and a thermal model of an IPMSM with stator turn faults are derived. All the proposed models and methods are validated through simulations and experiments on a 10kW IPMSM drive.
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Conference papers on the topic "Fault-tolerant operating strategy"

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Hosek, Martin, Hakan Elmali, and Nejat Olgac. "Centrifugal Delayed Resonator: Theory and Experiments." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-3829.

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Abstract A novel active vibration absorption technology, the Centrifugal Delayed Resonator (CDR), is presented as an efficient method for eliminating undesired torsional oscillations in rotating mechanical structures. The core idea is to reconfigure the dynamics of a damped centrifugal pendulum arrangement so that it behaves like an ideal real-time tunable absorber. This objective is achieved by applying a control torque based on proportional position feedback with variable gain and time delay. Fundamentals of the control strategy and its basic properties are explained, effects of the CDR absorber on a single-degree-of-freedom rotating structure are studied, and representative results of laboratory tests are presented. The strengths of this vibration control technology consist in complete elimination of a fundamental frequency component of undesired torsional oscillations, full effectiveness of vibration suppression in problems where the fundamental frequency of oscillations varies with time, very wide range of operating frequencies, complete decoupling of the feedback control from the mechanical properties of the rotating structure, comparatively simple implementation of the control algorithm, and fault-tolerant performance in the case of control failure.
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Haghnazari, Saeed, Hani Vahedi, and Mohammad Reza Zolghadri. "Fault tolerant operation strategy design for modular multilevel converters." In IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2016. http://dx.doi.org/10.1109/iecon.2016.7793004.

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Alshawish, Ali Mohamed, Seyyedmahdi Jafarishiadeh, Arman Ghasemi, Amin Shojaeighadikolaei, and Reza Ahmadi. "A New Fault Tolerant SST Topology and Operation Strategy for Alleviating HVAC Grid Faults." In 2020 IEEE Kansas Power and Energy Conference (KPEC). IEEE, 2020. http://dx.doi.org/10.1109/kpec47870.2020.9167634.

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Cheng, Siwei, Thomas G. Habetler, and Ronald G. Harley. "Fault-tolerant operation strategy for claw-pole generators with stator turn-to-turn short circuits." In 2013 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, 2013. http://dx.doi.org/10.1109/ecce.2013.6647290.

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Upadhyaya, B. R., S. R. P. Perillo, X. Xu, and F. Li. "Advanced Control Design, Optimal Sensor Placement, and Technology Demonstration for Small and Medium Nuclear Power Reactors." In 17th International Conference on Nuclear Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/icone17-75343.

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The efficient and safe performance of nuclear power plants of the future requires remote monitoring, control, and condition-based maintenance in order to maximize their capacity factor. Small and medium reactors, in the 50–500 MWe power range, may become commonplace for certain applications, with a design features for remote deployment. Such a reactor may be part of a smaller electrical grid, and deployed in areas with limited infrastructure. Typical applications include power generation, process heat for water desalination, and co-generation. There are other considerations in the deployment of these reactors: development of effective I&C to support nuclear fuel security monitoring, longer than normal fuel cycle length, and increased autonomy in plant operation and maintenance. A Model Predictive Controller (MPC) for the IRIS (International Reactor Innovative and Secure) system has been developed as a multivariate control strategy for reactor power regulation and the control of the helical coil steam generator (HCSG) used in IRIS. A MATLAB-SIMULINK model of the integral reactor was developed and used to demonstrate the design of the MPC. The two major control actions are the control rod reactivity perturbation and the steam control valve setting. The latter is used to regulate the set point value of the superheated steam. The MPC technique minimizes the necessity of on-line controller tuning, and is highly effective for remote and autonomous control actions. As an important part of the instrumentation & control (I&C) strategy, sensor placement in next generation reactors needs to be addressed for both control design and fault diagnosis. This approach is being applied to the IRIS system to enhance the efficiency of reactor monitoring that would assist in a quick and accurate identification of faults. This is achieved by solving the problem from the fault diagnosis perspective, rather than treating the sensor placement as a pure optimization problem. The solution to the problem of sensor placement may be broadly divided into two tasks: (1) fault modeling or prediction of cause-effect behavior of the system, generating a set of variables that are affected whenever a fault occurs, and (2) use of the generated sets to identify sensor locations based on various design criteria, such as observability, resolution, reliability, etc. The proposed algorithm is applied to the design of a sensor network for the IRIS system using multiple design criteria. This enables the designer to obtain a good preliminary design without extensive quantitative information about the process. The control technique will be demonstrated by application to a real process with actuators and associated device time delays. A multivariate flow control loop has been developed with the objective of demonstrating digital control implementation using proportional-integral controllers for water level regulation in coupled tanks. The controller implementation includes self-tuning, control mode selection under device or instrument fault, automated learning, on-line fault monitoring and failure anticipation, and supervisory control. The paper describes the integration of control strategies, fault-tolerant control, and sensor placement for the IRIS system, and demonstration of the technology using an experimental control loop.
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