Failure Mode, Effects, and Criticality Analysis (FMECA)-Based Fault Diagnosis of a High-Voltage Disconnect Switch

High-voltage disconnect switches (HVDSs) are crucial for ensuring visible electrical isolation but often operate under challenging environmental conditions. While current monitoring methods can detect faults, simply identifying them is not enough for effective maintenance planning or efficient resource management. Electric utilities need tools or platforms that enable them to identify various failure modes and their impact on the safety and reliability of the system. This paper presents a failure mode and effects analysis of a HVDS and an assessment of its criticality (FMECA). For each failure mode identified by the FMECA, a cause-and-effect analysis is used to further investigate their root causes. Next, the criticality of each failure mode is evaluated using the Risk Priority Number (RPN). Finally, each failure mode is subjected to an analysis to prioritize the sensor used to measure the physical quantity associated with the failure. This sensor prioritization is performed by considering not only the RPN but also the sensor’s utility in terms of failure detection efficiency and ease of installation. The results provide a robust foundation for the development of predictive maintenance strategies customized for HVDS equipment, thereby contributing to enhanced reliability and resilience of electrical power systems.

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Publication Details

Journal
Energies
Published
2026-09-06
DOI
https://doi.org/10.3390/en19174212
Primary Topic
Electrical Fault Detection and Protection
Type
article
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Failure Mode, Effects, and Criticality Analysis (FMECA)-Based Fault Diagnosis of a High-Voltage Disconnect Switch

Ali Awada, Khaled Ziane, Arafat Fousseni, Mounia Achouch
Energies
Electrical Fault Detection and Protection
article

Failure Mode, Effects, and Criticality Analysis (FMECA)-Based Fault Diagnosis of a High-Voltage Disconnect Switch

Ali Awada, Khaled Ziane, Arafat Fousseni, Mounia Achouch
article en

Abstract

High-voltage disconnect switches (HVDSs) are crucial for ensuring visible electrical isolation but often operate under challenging environmental conditions. While current monitoring methods can detect faults, simply identifying them is not enough for effective maintenance planning or efficient resource management. Electric utilities need tools or platforms that enable them to identify various failure modes and their impact on the safety and reliability of the system. This paper presents a failure mode and effects analysis of a HVDS and an assessment of its criticality (FMECA). For each failure mode identified by the FMECA, a cause-and-effect analysis is used to further investigate their root causes. Next, the criticality of each failure mode is evaluated using the Risk Priority Number (RPN). Finally, each failure mode is subjected to an analysis to prioritize the sensor used to measure the physical quantity associated with the failure. This sensor prioritization is performed by considering not only the RPN but also the sensor’s utility in terms of failure detection efficiency and ease of installation. The results provide a robust foundation for the development of predictive maintenance strategies customized for HVDS equipment, thereby contributing to enhanced reliability and resilience of electrical power systems.

EnergiesVol. 19(17)
Institut National de la Recherche Scientifique (CA)
Decent work and economic growth
Openalex Percentile: Top 19%
Electrical Fault Detection and Protection
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Failure Mode, Effects, and Criticality Analysis (FMECA)-Based Fault Diagnosis of a High-Voltage Disconnect Switch — Ali Awada, Khaled Ziane, et al. · Energies (2026) | TGRS Research Map | TGRS