On-line fault detection of aluminium electrolytic capacitors, in step-down DC–DC converters, using input current and output voltage ripple

Amaral, A.M.R.; Cardoso, António J. Marques

doi:10.1049/iet-pel.2011.0163

Cited by 98 publications

(51 citation statements)

References 10 publications

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“…Offline and online methods are implemented for the failure detection or failure prediction of the electrolytic capacitor [1]. The offline methods are easy to implement but the accuracy is poor and demands the stoppage of the equipment [1].…”

Section: Failure Detection Methodsmentioning

confidence: 99%

“…Aluminum electrolytic capacitors are commonly used in power converters. Low cost, high volumetric capacity, energy storage and voltage regulation are the main reasons for the use of electrolytic capacitors in the switched mode power converters [1]. Finite useful life and high failure rate are the main disadvantages of the electrolytic capacitors [2].…”

Section: Introductionmentioning

confidence: 99%

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Real time remaining useful life prediction of the electrolytic capacitor

Khandebharad

Dhumale

Lokhande

et al. 2015

2015 International Conference on Information Processing (ICIP)

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Electrolytic capacitors are the essential electronic component of the power converters. Few methods are implemented for fault diagnosis or prognosis of the electrolytic capacitors. Most of these methods are based on the parameter like equivalent series resistance (ESR), capacitance (C), operating temperature (T c ), DC operating voltage (V o ), output ripple voltage (V r ) or ripple current (I r ). This paper presents a easy, comprehensive method for the remaining useful life (RUL) prediction of the electrolytic capacitor. The proposed method of online RUL prediction of electrolytic capacitor is based on a lifetime model which is implemented using parameters T c , V o and I r of the electrolytic capacitor. This method is simulated using MATLAB-Simulink and also implemented on hardware using dsPIC33FJ64GS406. The experimental setup is composed of switched mode DC-DC buck converter and a data acquisition system (DAS). Simulation results and experimental results are compared to validate the proposed method. The proposed method implies industrial applications due to its simplicity, less hardware requirements and result orientation.

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Section: Failure Detection Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Real time remaining useful life prediction of the electrolytic capacitor

Khandebharad

Dhumale

Lokhande

et al. 2015

2015 International Conference on Information Processing (ICIP)

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show abstract

“…t bi (16) where Q chg b and Q dis b represent the charge absorbed and released over the period T , respectively, under voltage fluctuating conditions, I peak bn stands for the capacitor peak value in each half-cycle charging time (t bn ), as illustrated in Fig. 5.…”

Section: B Capacitor Current Analysis With a Fluctuating Ac Power Sumentioning

confidence: 99%

Rectifier Capacitor Filter Stress Analysis When Subject to Regular Voltage Fluctuations

Zhao

Ciufo

Perera

2013

IEEE Trans. Power Electron.

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Lamp flicker levels which arise as a result of voltage fluctuations can exceed limits set by appropriate standards. New lamp types such as compact fluorescent lights (CFLs) are less sensitive to voltage fluctuations as their flicker characteristics are considerably different compared to those of the traditional incandescent lamp. These differences could support the moderation of the present voltage fluctuation and flicker standards and hence the associated limits. The potential detrimental effects on electrical equipment which may be caused by relaxation of these limits should be investigated before any changes to the present standards take place. The impact of voltage fluctuations on a fullbridge rectifier with a capacitor filter is considered as a case study in this paper. Such a circuit is found at the front end of many different types of equipment that are connected to the public AC supply network. The capacitor ripple current characteristic is of particular interest. The research reported in this paper indicates that the filter capacitor will accumulate and dissipate increased amount of charge when the rectifier is subjected to AC source voltage fluctuations. The consequence is that the RMS value of the capacitor current will increase where the magnitude of this increase is related to the modulation frequency and magnitude of the fluctuating voltage. Therefore, an AC supply with a voltage fluctuation component will cause a full-bridge rectifier with capacitor filter to sustain increased stress. This stress may accelerate the capacitor ageing process, eventually resulting in premature equipment failure. The research indicates that there is a need for indices other that the short-term and long-term flicker indices required for equipment compatibility levels.

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“…DC-AC inverters in motor drive circuits [1][2][3], rectifiers in AC-DC energy conversion systems [4], DC-DC converters in various structured switched-mode-powers (SMPs) [5][6][7], etc. In their applications, PECs are failure-prone, because they frequently experience current surges, continuous switching operations and high temperature stresses.…”

Section: Introductionmentioning

confidence: 99%

Faults Classification Of Power Electronic Circuits Based On A Support Vector Data Description Method

Cui

2015

Metrology and Measurement Systems

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Power electronic circuits (PECs) are prone to various failures, whose classification is of paramount importance. This paper presents a data-driven based fault diagnosis technique, which employs a support vector data description (SVDD) method to perform fault classification of PECs. In the presented method, fault signals (e.g. currents, voltages, etc.) are collected from accessible nodes of circuits, and then signal processing techniques (e.g. Fourier analysis, wavelet transform, etc.) are adopted to extract feature samples, which are subsequently used to perform offline machine learning. Finally, the SVDD classifier is used to implement fault classification task. However, in some cases, the conventional SVDD cannot achieve good classification performance, because this classifier may generate some so-called refusal areas (RAs), and in our design these RAs are resolved with the one-against-one support vector machine (SVM) classifier. The obtained experiment results from simulated and actual circuits demonstrate that the improved SVDD has a classification performance close to the conventional one-against-one SVM, and can be applied to fault classification of PECs in practice.

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On-line fault detection of aluminium electrolytic capacitors, in step-down DC–DC converters, using input current and output voltage ripple

Cited by 98 publications

References 10 publications

Real time remaining useful life prediction of the electrolytic capacitor

Real time remaining useful life prediction of the electrolytic capacitor

Rectifier Capacitor Filter Stress Analysis When Subject to Regular Voltage Fluctuations

Faults Classification Of Power Electronic Circuits Based On A Support Vector Data Description Method

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