Capacitor Aging Detection in a DC–DC Converter Output Stage

Hannonen, Janne; Honkanen, Jari; Strom, Juha-Pekka; Kärkkäinen, Tommi J.; Raisanen, Samuli; Silventoinen, Pertti

doi:10.1109/tia.2016.2550527

Cited by 36 publications

(15 citation statements)

References 18 publications

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“…In the last two decades, many efforts [11]− [101] have been made to realize the condition monitoring (CM) for capacitors in dc-link applications. Some of them are designed for capacitors dismantled from converters, i.e., offline schemes [11]− [24].…”

Section: Introductionmentioning

confidence: 99%

“…Others are implemented on-site in a real system, i.e., real-online and quasi-online schemes. Here, different types of dc-link applications are considered, such as adjustable speed drive (ASD) systems [25]− [47], photovoltaic (PV) grid-connected inverters [48]− [55], power factor correction (PFC) converters [56]− [61], and dc/dc buck and boost converters [62]− [101]. Moreover, the implementation methods are various.…”

Section: Introductionmentioning

confidence: 99%

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An Overview of Condition Monitoring Techniques for Capacitors in DC-Link Applications

Zhao

Davari

et al. 2021

IEEE Trans. Power Electron.

122

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Capacitors are widely used in dc links of power electronic converters to balance power, suppress voltage ripple, and store short-term energy. Condition monitoring (CM) of dc-link capacitors has great significance in enhancing the reliability of power converter systems. Over the past few years, many efforts have been made to realize CM of dc-link capacitors. This paper gives an overview and a comprehensive comparative evaluation of them with emphasis on the application objectives, implementation methods, and monitoring accuracy when being used. First, the design procedure for the condition monitoring of capacitors is introduced. Second, the main capacitor parameters estimation principles are summarized. According to these principles, various possible CM methods are derived in a step-by-step manner. On this basis, a comprehensive review and comparison of CM schemes for different types of dc-link applications are provided. Finally, application recommendations and future research trends are presented.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Overview of Condition Monitoring Techniques for Capacitors in DC-Link Applications

Zhao

Davari

et al. 2021

IEEE Trans. Power Electron.

122

View full text Add to dashboard Cite

show abstract

“…(2)(3)(4)(5) Over the last decade, a number of studies have been performed on the failure detection of power capacitors. (6)(7)(8)(9) Sharma et al proposed a fault detection strategy considering single-end-measured fault current data for series capacitors compensating for three-phase transmission lines by using fast Walsh-Hadamard transform (FWHT). (6) Jouybari-Moghaddam et al used an indicating quantity superimposed reactance (SR) method to rapidly locate and identify capacitor element failures in shunt capacitor banks.…”

Section: Introductionmentioning

confidence: 99%

“…(7) Hannonen et al utilized an output voltage transient analysis method to detect capacitor degradation under various operating conditions at the output stage of a step-down dc-dc converter. (8) Carvalho et al presented a virtual instrumentation system developed through acoustic partial discharge signal detection and capacitance monitoring for the assessment of high-voltage-power capacitors. (9) The aforementioned fault types are discussed in this paper.…”

Section: Introductionmentioning

confidence: 99%

Application of Extension Neural Network Algorithm and Empirical Mode Decomposition Method to Partial Discharge Diagnosis of Power Capacitors

Wang¹,

Lu²,

Lin³

et al. 2019

Sensors and Materials

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Power capacitors are extensively used in power systems; thus, any internal capacitor fault can affect their safe operation. The most common faults include dampness, partial discharge, aging or insulation deterioration, and structural deterioration. The purpose of this study is to use a human-machine interface diagnosis system to detect the type of power capacitor fault, so as to determine the real-time status of the power capacitor. Partial discharge data are measured and diagnosed for the power capacitors that are functional and remaining in long-term highvoltage operation. The defects are handled before the capacitor is measured by a high-frequency current transformer (HFCT) sensor, and one power platform tester is used to measure partial discharge in the capacitor case. The voltage is increased until the partial discharge phenomenon stops, and the voltage and partial discharge signals are visualized by using a high-frequency oscillograph. Afterwards, the feature of the discharge signal is determined by the empirical mode decomposition (EMD) method, combined with the chaos synchronization detection analysis method to establish the chaotic error scatter map of the discharge voltage. Then, the chaos eyes are used as the features of fault diagnosis, and the extension neural network (ENN) algorithm is used for capacitor fault recognition. The advantages of this method are that the feature extraction data volume can be reduced, subtle changes in power capacitor discharge voltage signal can be detected effectively so as to detect the power capacitor's operating state, and emergency measures can be executed in advance to prevent severe disasters. The proposed method is validated by actual measurements. The detection rate of the ENN fault detection method is 95%, proving that this method is applicable to power capacitor partial discharge detection.

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“…According to differences in data acquisition, the current research achievement of using ripple to evaluate the health state of AECs can be summarized as the indirect calculation of ripple through simulation software [9][10][11], the offline computing from sampled data [12], AEC parameter calculation based on the mathematical model of a particular topology and some specific measurement value (voltage or current) [13][14][15][16][17][18][19], and direct measurement of ripple through high-cost oscilloscopes, data acquisition cards, or high-speed analog-to-digital converters (ADCs) [20][21][22][23]. Nevertheless, the developed methods are rarely adopted in practical industry applications due to the increased cost, complexity, and other relevant issues [8,24].…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost, High-Precision Method for Ripple Voltage Measurement Using a DAC and Comparators

et al. 2019

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As the core of electronic system, the switched-mode power supply (SMPS) will lead to serious accidents and catastrophes if it suddenly fails. According to the related research, the monitoring of ripple can acquire the health degree of SMPS indirectly. To realize low-cost, high-precision, and automatic ripple measurement, this paper proposes a new ripple voltage (peak-to-peak value) measuring scheme, utilizing a DAC and two high-speed comparators. Within this scheme, the DC component of SMPS output is blocked by a high-pass filter (HPF). Then, the filtered signal and the reference voltage from a DAC together compose the input of a high-speed comparator. Finally, output pulses of the comparator are captured by a microcontroller unit (MCU), which readjusts the output of the DAC by calculation, and this process is repeated until the DAC output is exactly equal to the peak (or valley) value of ripple. Moreover, in order to accelerate the measurement process, a peak estimation method is specially designed to calculate the output ripple peak (or valley) value of buck topology through merely two measurements. Then the binary search method is utilized to obtain a more exact value on the basis of estimative results. Additionally, an analysis of the measurement error of this ripple measurement system is executed, which shows that the theoretical error is less than 0.5% where the ripple value is larger than 500 mV. Furthermore, appropriate components are selected, and a prototype is manufactured to verify the validity of the proposed theory.

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Capacitor Aging Detection in a DC–DC Converter Output Stage

Cited by 36 publications

References 18 publications

An Overview of Condition Monitoring Techniques for Capacitors in DC-Link Applications

An Overview of Condition Monitoring Techniques for Capacitors in DC-Link Applications

Application of Extension Neural Network Algorithm and Empirical Mode Decomposition Method to Partial Discharge Diagnosis of Power Capacitors

A Low-Cost, High-Precision Method for Ripple Voltage Measurement Using a DAC and Comparators

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