Open-Circuit Fault Diagnosis in Interleaved DC–DC Converters

Ribeiro, E.; Cardoso, António J. Marques; Boccaletti, C.

doi:10.1109/tpel.2013.2272381

Cited by 116 publications

(50 citation statements)

References 18 publications

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“…A novel multidevice interleaved boost converter (MDIBC) that interfaces the fuel cell with the powertrain of hybrid electric vehicles is proposed in [13]. A fault-diagnostic method is introduced in [14] for a three-phase interleaved DC-DC converters using only the DC-link current derivative sign features. To achieve high step-up gain, an interleaved winding-coupled boost converter is proposed in [15].…”

mentioning

confidence: 99%

Reliability Evaluation of Conventional and Interleaved DC–DC Boost Converters

Khosroshahi

Abapour

Sabahi

2015

IEEE Trans. Power Electron.

163

102

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mentioning

confidence: 99%

Reliability Evaluation of Conventional and Interleaved DC–DC Boost Converters

Khosroshahi

Abapour

Sabahi

2015

IEEE Trans. Power Electron.

163

102

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“…The comparison of previously addressed methods [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] and proposed method is presented in Table IV. Some typical methods are selected to make the comparisons.…”

Section: Measurement Resultsmentioning

confidence: 99%

“…The integration of (13) gives (14) where t s and t o are the start time and end time of the Y fault signal.…”

Section: Out (T)mentioning

confidence: 99%

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Fast switch fault diagnosis for PWM DC–DC low power converters

Qian

Sun

2017

IEEJ Transactions Elec Engng

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In this paper, a fast switching fault diagnostic scheme is proposed for low‐power pulse width modulation (PWM) DC–DC converters operating in different conduction modes. The outstanding feature of the proposed scheme is that no additional sensing circuits are needed. This is achieved by using the differential of output ripple voltage and the switch gate driver signal for diagnosis. Since the output voltage has to be normally measured for control purposes and the PWM signals are known to the controller, no additional sensors are needed in the proposed scheme. Moreover, based on the real‐time output voltage measurement and switch gate driver signal, the characteristics of switch open‐ and short‐circuit faults can be rapidly extracted, specifically, in less than one switching cycle. Besides, the fault detection scheme can be implemented by a low‐cost logical hardware circuit, which can be integrated into the control unit. The fault diagnosis principle, design considerations, and implementation of the detection scheme are discussed in this paper. Experimental results show that the fault detection system can detect the switching fault in four‐tenths of the switching period. Besides, the proposed method can be used in the applications where the output voltage ripple rate is more than 4%, which covers most situations. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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“…3,[8][9][10][11][12] Fault detection and identification (FDI) for power electronic systems has already been explored in details in Poon et al, 6 primarily for specific converter topologies and for specific converter faults. In some pertinent literature, [13][14][15][16][17] authors have focused on detecting and identifying specific component faults (eg, open-and short-circuit switch faults, gate driver faults, and capacitor faults) in DC-DC converters.…”

mentioning

confidence: 99%

Fault diagnosis in switched‐linear systems by emulation of behavioral models on FPGA: A case study of current‐mode buck converter

Bhattacharya

Kumar

Biswas

2017

Int J Numerical Modelling

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This paper presents an Field‐Programmable Gate Array (FPGA)‐based fault emulation and detection framework for switched‐linear systems commonly encountered in power electronics. The proposed framework exploits high‐level behavioral modeling that maps analog functionality into fixed‐point architectures supported by FPGAs. This work is mainly concerned with modeling and validation of effectiveness of a fault diagnoser of a power converter much before its fabrication. The proposed concept of fault diagnosis at presilicon stage overcomes several reliability issues in power electronic systems and enables design and development of test resources, verification of test bed, and interconnecting circuitry at an early stage of the design. To illustrate applicability of this environment, well‐accepted fault events including hard and soft faults are emulated with the help of a nonideal model of a buck converter and a piecewise linear detection filter, which follow an observer‐based residual generation for fault detection. The paper also shows that the proposed method is equally applicable for detection of faults under unstable operation of the converter. The effectiveness of the proposed framework is evaluated through FPGA‐based simulation (or “emulation”) of a peak‐current‐mode–controlled buck‐type switching converter implemented on Xilinx Kintex‐7 FPGA in MATLAB/Simulink environment with Xilinx System Generator support. To the best of our knowledge, fault diagnosis in power converter by emulation of its nonideal model on FPGA is attempted for the first time in the literature. Experimental results show that power converter faults can be easily detected by monitoring detection filter residuals while some of the faults can be precisely identified.

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Open-Circuit Fault Diagnosis in Interleaved DC–DC Converters

Cited by 116 publications

References 18 publications

Reliability Evaluation of Conventional and Interleaved DC–DC Boost Converters

Reliability Evaluation of Conventional and Interleaved DC–DC Boost Converters

Fast switch fault diagnosis for PWM DC–DC low power converters

Fault diagnosis in switched‐linear systems by emulation of behavioral models on FPGA: A case study of current‐mode buck converter

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