On-line Resistance Measurement of Substation Connectors Focused on Predictive Maintenance

Kadechkar, Akash; Riba, Jordi-Roger; Moreno-Eguilaz, Manuel; Capelli, Francesca; González, David

doi:10.1109/epepemc.2018.8521913

Cited by 6 publications

(4 citation statements)

References 14 publications

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“…The measurements were done using a standard electrical resistance system (Figure 6). This system uses a 4-wire connection (Kelvin method) (Kadechkar et al, 2018) (Figures 6A, B) to avoid measurement uncertainty that arises with two-wire connection systems.…”

Section: Electrical Resistancementioning

confidence: 99%

Conductive, Anti-Corrosion, Self-Healing Smart Coating Technology Incorporating Graphene-Based Nanocomposite Matrix

et al. 2022

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Chromate conversion coatings have been in service for decades providing robust corrosion protection to a wide variety of aluminum alloys. However, it is also known that anti-corrosive coatings containing Cr6+ contributes to DNA damage, cause cancer and are not environmentally friendly. Consequently, regulatory restrictions over the use Cr6+ were established to mitigate the environmental damage and health problems. To answer to this hurdle and to meet the emergent need for environmentally friendly anti-corrosive coatings, we have successfully developed an innovative coating that combines anti-corrosive, low electrical resistance, and self-healing properties. First, we present two different coatings, that aim to display low electrical resistance properties: one containing only graphene and the other containing Zn nanoparticles and graphene. Confocal laser imaging and SEM microscopy was used to observe the morphology of the coatings. The electrical resistance was measured using the 4-wire connection Kelvin method. We compare the anticorrosive response for both coatings under neutral salt spray test (NSSt). Raman spectroscopy was performed before and after to understand the effect of NSSt corrosive species on the coatings. Then, we select the coating with lower electrical resistance, and we program on it a self-healing mechanism to boost its life service. Finally cyclic voltammetry is performed to confirm the excellent blocking properties of the tested coatings. All the coatings presented in this work are applied on aluminum AA 2024T351 and the optimal spray parameters for nanofillers dispersion are obtained. Our findings show great potential for preventing corrosion and compatibility with fully automated large-scale applications in different fields such as aerospace, automotive, construction, submarines and many more.

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Section: Electrical Resistancementioning

confidence: 99%

Conductive, Anti-Corrosion, Self-Healing Smart Coating Technology Incorporating Graphene-Based Nanocomposite Matrix

et al. 2022

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“…Since temperature has a great impact on the connector’s resistance, temperature is always corrected to 20 °C to remove or at least to minimize the effect of temperature. This correction is applied as [ 29 , 30 ],

where R Connector ,20 °C is the resistance converted to 20 °C reference, and α R , is the temperature coefficient, which is 0.004 K −1 for both copper and aluminum.…”

Section: Resistance-based Degradation Modelsmentioning

confidence: 99%

On-Line Remaining Useful Life Estimation of Power Connectors Focused on Predictive Maintenance

Riba

Gómez-Pau

Martinez

et al. 2021

Sensors

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Connections are critical elements in power systems, exhibiting higher failure probability. Power connectors are considered secondary simple devices in power systems despite their key role, since a failure in one such element can lead to major issues. Thus, it is of vital interest to develop predictive maintenance approaches to minimize these issues. This paper proposes an on-line method to determine the remaining useful life (RUL) of power connectors. It is based on a simple and accurate model of the degradation with time of the electrical resistance of the connector, which only has two parameters, whose values are identified from on-line acquired data (voltage drop across the connector, electric current and temperature). The accuracy of the model presented in this paper is compared with the widely applied autoregressive integrated moving average model (ARIMA), showing enhanced performance. Next, a criterion to determine the RUL is proposed, which is based on the inflection point of the expression describing the electrical resistance degradation. This strategy allows determination of when the connector must be replaced, thus easing predictive maintenance tasks. Experimental results from seven connectors show the potential and viability of the suggested method, which can be applied to many other devices.

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“…The value of the static contact resistance (SCR) or contact temperature of these components can be used as indicators for the early detection of incipient failures [14,15]. Values of resistance and/or temperature above a defined critical threshold may indicate an alert condition, representing a high probability of failure, and it is necessary, in this condition, to carry out some equipment maintenance procedures.…”

Section: Introductionmentioning

confidence: 99%

Methodology for Predictive Assessment of Failures in Power Station Electric Bays Using the Load Current Frequency Spectrum

et al. 2020

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This paper presents a novel analysis methodology to detect degradation in electrical contacts, with the main goal of implanting a predictive maintenance procedure for sectionalizing switches, circuit breakers, and current transformers in bays of electric transmission and distribution substations. The main feature of the proposed methodology is that it will produce a predictive failure indication for the system under operation, based on the spectral analysis of the load current that is flowing through the bay’s components, using a defined relationship similar to the signal-to-noise ratio (SNR) used in data communication. A highlight of using the proposed methodology is that it is not necessary to make new investments in measurement devices, as the already-existing oscillography measurement infrastructure is enough. By implementing the diagnostic system proposed here, electrical utilities will have a modern tool for monitoring their electrical installations, supporting the implementation of new predictive maintenance functions typical of the current electrical smart grid scenario. Here, we present the preliminary results obtained by the application of the proposed technique using real data acquired from a 230 kV electrical substation, which indicate the effectiveness of the proposed diagnostic procedure.

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On-line Resistance Measurement of Substation Connectors Focused on Predictive Maintenance

Cited by 6 publications

References 14 publications

Conductive, Anti-Corrosion, Self-Healing Smart Coating Technology Incorporating Graphene-Based Nanocomposite Matrix

Conductive, Anti-Corrosion, Self-Healing Smart Coating Technology Incorporating Graphene-Based Nanocomposite Matrix

On-Line Remaining Useful Life Estimation of Power Connectors Focused on Predictive Maintenance

Methodology for Predictive Assessment of Failures in Power Station Electric Bays Using the Load Current Frequency Spectrum

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