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A circuit breaker is a device engineered to interrupt fault currents and sometimes reclose automatically. When a fault current is detected, the breaker separates the electrical contacts, which generates an arc. This arc is extinguished by methods such as elongation, cooling, or splitting, depending on the breaker's design. Breakers are categorized based on the voltage they operate at and the medium used for arc extinction, such as air, oil, SF6 gas, or vacuum.
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When analyzing a single line-to-ground fault from phase A to ground at a three-phase bus, it is important to consider the fault impedance. This impedance is zero for a bolted fault, equal to the arc impedance for an arcing fault, and represents the total fault impedance for a transmission-line insulator flashover. To derive sequence and phase currents, fault conditions are translated from the phase domain to the sequence domain.
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Coordinating time-delay overcurrent relays in complex radial systems and directional overcurrent relays in multi-source transmission loops can be challenging. Impedance relays address these issues by responding to the voltage-to-current ratio, specifically measuring the apparent impedance of a line. These relays become more sensitive during faults as current increases and voltage decreases, thereby reducing the apparent impedance.
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Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
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Sensor Selection Framework for Designing Fault Diagnostics System.

Amol Kulkarni1, Janis Terpenny2, Vittaldas Prabhu1

  • 1Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, State College, PA 16801, USA.

Sensors (Basel, Switzerland)
|October 13, 2021
PubMed
Summary
This summary is machine-generated.

Selecting the optimal number and specifications of sensors is crucial for accurate system health monitoring. This study introduces a new framework, OFCCaTS, to balance fault detection rates with sensor costs for complex engineered systems.

Keywords:
fuzzy clusteringordered clusteringsensor selection

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Area of Science:

  • Engineering
  • Systems Science
  • Data Science

Background:

  • Complex engineered systems and their manufacturing processes are increasingly intricate, posing risks of cascading failures.
  • Effective health monitoring and prognostic maintenance are vital for ensuring the reliability and quality of these systems.
  • Current sensor selection methods often overlook critical sensor specifications, limiting cost-effectiveness and accuracy.

Purpose of the Study:

  • To address limitations in existing sensor selection approaches for complex engineered systems.
  • To propose a novel method, OFCCaTS (Optimal Framework for Cost-Conscious sensor Configuration and Targeting), for sensor selection.
  • To enhance system health monitoring accuracy while minimizing associated costs.

Main Methods:

  • Developed a scalable multi-objective framework for sensor selection.
  • Integrated sensor specifications and cost considerations into the selection process.
  • Utilized a wind turbine gearbox as a case study to demonstrate the framework's efficacy.

Main Results:

  • The OFCCaTS framework effectively balances maximizing fault detection rates with minimizing total sensor costs.
  • Demonstrated the ability to select an optimal subset of informative sensors, avoiding redundancy.
  • Successfully applied the framework to a real-world engineering system (wind turbine gearbox).

Conclusions:

  • The proposed OFCCaTS method offers a significant improvement over existing sensor selection techniques.
  • Optimizing sensor selection is key to cost-effective and accurate prognostic health management in complex systems.
  • This framework provides a practical approach for designers to enhance system reliability and reduce operational expenses.