DC-Link Capacitor Diagnosis in a Single-Phase Grid-Connected PV System

Plazas-Rosas, Ramiro Alejandro; Orozco-Gutierrez, Martha Lucia; Spagnuolo, G.; Franco-Mejía, Édinson; Petrone, G.

doi:10.3390/en14206754

Cited by 9 publications

(6 citation statements)

References 35 publications

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“…These predictive maintenance systems include monitoring the oil deterioration process (Guerrero et al, 2020;Rodrigues et al, 2020) and keeping track of the coil insulation systems (Wang et al, 2020). Another key component that is prone to failure is the DC link capacitor, which necessitates a method for detecting the ageing process (Plazas-Rosas et al, 2021). Failure detection in battery energy storage systems is also very important since it causes a total loss in the power plant (Fioravanti et al, 2020).…”

Section: Fault Detection Techniquesmentioning

confidence: 99%

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Review of fault detection techniques for predictive maintenance

Divya

Bhasi

Kumar

2022

JQME

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PurposeThis study aims to bring awareness to the developing of fault detection systems using the data collected from sensor devices/physical devices of various systems for predictive maintenance. Opportunities and challenges in developing anomaly detection algorithms for predictive maintenance and unexplored areas in this context are also discussed.Design/methodology/approachFor conducting a systematic review on the state-of-the-art algorithms in fault detection for predictive maintenance, review papers from the years 2017–2021 available in the Scopus database were selected. A total of 93 papers were chosen. They are classified under electrical and electronics, civil and constructions, automobile, production and mechanical. In addition to this, the paper provides a detailed discussion of various fault-detection algorithms that can be categorised under supervised, semi-supervised, unsupervised learning and traditional statistical method along with an analysis of various forms of anomalies prevalent across different sectors of industry.FindingsBased on the literature reviewed, seven propositions with a focus on the following areas are presented: need for a uniform framework while scaling the number of sensors; the need for identification of erroneous parameters; why there is a need for new algorithms based on unsupervised and semi-supervised learning; the importance of ensemble learning and data fusion algorithms; the necessity of automatic fault diagnostic systems; concerns about multiple fault detection; and cost-effective fault detection. These propositions shed light on the unsolved issues of predictive maintenance using fault detection algorithms. A novel architecture based on the methodologies and propositions gives more clarity for the reader to further explore in this area.Originality/valuePapers for this study were selected from the Scopus database for predictive maintenance in the field of fault detection. Review papers published in this area deal only with methods used to detect anomalies, whereas this paper attempts to establish a link between different industrial domains and the methods used in each industry that uses fault detection for predictive maintenance.

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Section: Fault Detection Techniquesmentioning

confidence: 99%

“…, 2020). Another key component that is prone to failure is the DC link capacitor, which necessitates a method for detecting the ageing process (Plazas-Rosas et al. , 2021).…”

Section: Rq1: What Are the Domains That Use Anomaly Detection For Pre...mentioning

confidence: 99%

Review of fault detection techniques for predictive maintenance

Divya

Bhasi

Kumar

2022

JQME

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“…Given the importance of continuous and correct operation of power electronic converters (PECs), which are an essential part of more complex systems [1] In fact, PECs have the function of direct interaction between generation and load, besides, the control strategies or maximum power point tracking (MPPT), as with microgrids or PV systems [2].…”

Section: Introductionmentioning

confidence: 99%

Degradation indicators for power electronic converters

Plazas-Rosas¹,

Mejía²,

Orozco-Gutierrez³

2023

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Power electronic converters are an important element in the interaction between source and load. In fact, failures in this system often lead to bigger problems. Therefore, it is necessary to monitor the converter components that have the most failures. In this work, we present the estimation of three parameters, which are, in turn, degradation indicators of components in the power electronic converters: equivalent series resistance, capacitance and on-state resistance. Using current and voltage measurements of the Boost converter.

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“…The design of electronic circuits involving electrolytic capacitors uses different conceptual electrical models of capacitors, more or less simplified, and equivalent electrical parameters [5,15,16]. Simple models, type R-C, are widely used in modelling the circuits in which the capacitors are embedded, particularly in DC-DC converters [17].…”

Section: Introductionmentioning

confidence: 99%

Parameter Observer Useable for the Condition Monitoring of a Capacitor

2022

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Monitoring the condition of electrolytic capacitors in practical applications is a topic that has been and remains the subject of much research. This article is part of research in this area. It develops a parameter observer (PO) and proposes its use for the determination of the equivalent capacity and equivalent serial resistance of electrolytic capacitors. The observer is an integral-open-loop type second-order system, the input of which is the voltage at the capacitor terminals measured during a two-stage capacitor’s discharging process through a variable resistor. The PO estimates the so-called time constant of the discharging circuit for each of the two stages from which values the capacitor’s parameters are calculated. The use of PO is illustrated for determining the output capacitor parameters of a buck DC–DC converter. The experiments were performed with two electrolytic capacitors with the nominal values 100 μF and 470 μF. Compared with other monitoring methods that use observers, the proposed observer is faster in tracking error mitigation, e.g., 10−3 s in comparison with 5·10−3 s or more. The low computational volume of the discrete-time PO allows the prospect of implementation in real time.

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DC-Link Capacitor Diagnosis in a Single-Phase Grid-Connected PV System

Cited by 9 publications

References 35 publications

Review of fault detection techniques for predictive maintenance

Review of fault detection techniques for predictive maintenance

Degradation indicators for power electronic converters

Parameter Observer Useable for the Condition Monitoring of a Capacitor

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