Review of Health Monitoring Techniques for Capacitors Used in Power Electronics Converters

Dang, Hoang-Long; Kwak, Sangshin

doi:10.3390/s20133740

Cited by 23 publications

(9 citation statements)

References 75 publications

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“…When referring to the R-C series electrical model of a capacitor, the change manifests as a decrease in the value of the equivalent capacitance and an increase in the ESR. Consequently, these two parameters are considered indicators of the state of the capacitor, and monitoring their values is vital [ 4 ]. An ample specialized literature deals with this topic.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Parameter Observer for Capacitors

Bărbulescu¹,

Căiman²,

Nanu³

et al. 2023

Sensors

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This paper describes the implementation of a parameter observer (PO) intended to estimate the capacitance and equivalent serial resistance of a capacitor (ESR). The implemented observer consists of a dynamic second-order discrete-time system. The input signal of the observer is the voltage at the terminals of the capacitor measured during its discharge across a variable resistance in two steps. The implemented observer can be used in quasi-online or offline mode. The theoretical and experimental supporting materials provide a comprehensive picture of the implementation and conditions of use of the PO. The experimental verification was carried out with a microcontroller with Cortex®-M7 core architecture. The sampling time of the PO was 20 μs, and the estimation of the parameters was obtained before the end of the discharge of the capacitor. In the cases described in the paper, this means approximately 25 ms. Due to the PO’s capabilities (estimation speed, reduced computational complexity and precision)—proved by the experiments carried out on three electrolytic capacitors of 100 μF, 220 μF and 440 μF—the implementation is of interest for several applications, primarily in the field of power electronic applications.

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Section: Introductionmentioning

confidence: 99%

Implementation of Parameter Observer for Capacitors

Bărbulescu¹,

Căiman²,

Nanu³

et al. 2023

Sensors

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“…It is available in various sizes and capacities [11]. However, AECs must be connected in series and require safety resistors to maintain the necessary high voltage in power networks, leading to a more complex system that may result in additional damage when they fail [12,13]. AEC failure can be caused by several thermal and electrical issues, leading to the vaporization of its electrolyte and degradation of the oxide layer.…”

Section: Introductionmentioning

confidence: 99%

Advanced Fault-Detection Technique for DC-Link Aluminum Electrolytic Capacitors Based on a Random Forest Classifier

2023

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In recent years, significant technological advances have emerged in renewable power generation systems (RPGS), making them more economical and competitive. On the other hand, for the RPGS to achieve the highest level of performance possible, it is important to ensure the healthy operation of their main building blocks. Power electronic converters (PEC), which are one of the main building blocks of RPGS, have some vulnerable components, such as capacitors, which are responsible for more than a quarter of the failures in these converters. Therefore, it is of paramount importance that the design of fault diagnosis techniques (FDT) assess the capacitor’s state of health so that it is possible to implement predictive and preventive maintenance plans in order to reduce unexpected stoppage of these systems. One of the most commonly used capacitors in power converters is the aluminum electrolytic capacitor (AEC) whose aging manifests itself through an increase in its equivalent series resistance (ESR). Several advanced intelligent techniques have been proposed for assessing AEC health status, many of which require the use of a current sensor in the capacitor branch. However, the introduction of a current sensor in the capacitor branch imposes practical restrictions; in addition, it introduces unwanted resistive and inductive effects. This paper presents an FDT based on the random forest classifier (RFC), which triggers an alert mechanism when the DC-link AEC reaches its ESR threshold value. The great advantage of the proposed solution is that it is non-invasive; therefore, it is not necessary to introduce any sensor inside the converter. The validation of the proposed FDT will be carried out using several computer simulations carried out in Matlab/Simulink.

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“…Capacitors are among the most critical components of power converters. They have a huge influence in the final cost, performance, and size of such electronic systems, although they exhibit the highest degradation rates and shorter lifespans among all power converter components [12]. Therefore, condition monitoring plays a key role to estimate the health status of capacitors and to apply predictive maintenance tasks for ensuring stability in the operation of power converter systems.…”

Section: Introductionmentioning

confidence: 99%

“…The equivalent series resistance (ESR) and the capacitance of the capacitor are two widely used parameters for evaluating the health status of capacitors. Unlike the ESR, the capacitance of a capacitor is suitable for health monitoring of various types of capacitors; therefore, it is more preferable for large-scale systems [12].…”

Section: Introductionmentioning

confidence: 99%

CNN-LSTM-Based Prognostics of Bidirectional Converters for Electric Vehicles’ Machine

Rojas-Dueñas

Riba

Moreno-Eguilaz

2021

Sensors

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This paper proposes an approach to estimate the state of health of DC-DC converters that feed the electrical system of an electric vehicle. They have an important role in providing a smooth and rectified DC voltage to the electric machine. Thus, it is important to diagnose the actual status and predict the future performance of the converter and specifically of the electrolytic capacitors, in order to avoid malfunctioning and failures, since it is known they have the highest failure rates among power converter components. To this end, accelerated aging tests of the electrolytic capacitors are performed by applying an electrical overstress. The gathered data are used to train a CNN-LSTM model that is capable of predicting the future values of the capacitance and the equivalent series resistance (ESR) of the electrolytic capacitor. This model can be used to estimate the remaining useful life of the device, thus, increasing the reliability of the system and ensuring an adequate operating condition of the electric motor.

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Review of Health Monitoring Techniques for Capacitors Used in Power Electronics Converters

Cited by 23 publications

References 75 publications

Implementation of Parameter Observer for Capacitors

Implementation of Parameter Observer for Capacitors

Advanced Fault-Detection Technique for DC-Link Aluminum Electrolytic Capacitors Based on a Random Forest Classifier

CNN-LSTM-Based Prognostics of Bidirectional Converters for Electric Vehicles’ Machine

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