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Related Concept Videos

Fault Types01:18

Fault Types

221
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.
For line-to-line faults occurring between phases B and C, the...
221
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

269
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
269
Load-frequency control01:28

Load-frequency control

316
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
316
Multimachine Stability01:25

Multimachine Stability

270
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
270
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

878
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
878
Reclosers and Fuses01:26

Reclosers and Fuses

254
Automatic circuit reclosers enhance the protection of distribution circuits by interrupting and auto-reclosing an AC circuit according to a preset sequence. They effectively manage temporary faults on overhead distribution lines, often caused by tree limbs or wildlife, by briefly disrupting service to improve overall reliability. However, contact with reclosers or energized broken conductors on the ground can pose serious hazards.
A comprehensive protection scheme for radial distribution...
254

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Related Experiment Video

Updated: Nov 8, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Application Health Monitoring for Extreme-scale Resiliency using Cooperative Fault Management.

Pratul K Agarwal1,2, Thomas Naughton1, Byung H Park1

  • 1Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.

Concurrency and Computation : Practice & Experience
|April 26, 2021
PubMed
Summary

Resiliency is key for supercomputing. This study introduces a novel application-driven strategy to detect and recover from silent errors, ensuring scientific accuracy and efficient resource use on exascale systems.

Keywords:
Fault-toleranceexascale resiliencyheterogeneous systemsmolecular dynamicsquantum chemistry calculationssilent errors

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Area of Science:

  • High-performance computing
  • Computational science
  • Fault-tolerant systems

Background:

  • Scientific productivity on supercomputers is threatened by transient hardware and software errors.
  • Applications lacking error-handling capabilities risk wasted resources and inaccurate scientific insights.
  • Exascale computing demands robust resiliency strategies for reliable scientific discovery.

Purpose of the Study:

  • To introduce a novel application-driven silent error detection and recovery strategy.
  • To enhance the reliability and efficiency of scientific applications on supercomputers.
  • To mitigate the impact of transient errors in high-performance computing environments.

Main Methods:

  • Developed an application health monitoring approach using output patterns as fault indicators.
  • Corroborated application faults with system hardware and software health status information.
  • Implemented a fault coordinator agent for computational steering and corrective actions between checkpoints.

Main Results:

  • Demonstrated the framework's effectiveness with molecular dynamics and quantum chemistry simulations.
  • Validated the approach on scalable clusters with simulated memory and I/O corruptions.
  • Showcased the system's ability to prevent resource waste and misleading scientific results.

Conclusions:

  • The proposed application-driven strategy effectively detects and recovers from silent errors.
  • The cooperative fault management system enhances scientific productivity and resource utilization.
  • The generalizable approach can be readily applied to diverse scientific applications on supercomputers.