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The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
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Determining the subtransient fault current in a power system involves representing transformers by their leakage reactances, transmission lines by their equivalent series reactances, and synchronous machines as constant voltage sources behind their subtransient reactances. In this analysis, certain elements are excluded, such as winding resistances, series resistances, shunt admittances, delta-Y phase shifts, armature resistance, saturation, saliency, non-rotating impedance loads, and small...
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Updated: Sep 3, 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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Human Factor Analysis (HFA) Based on a Complex Network and Its Application in Gas Explosion Accidents.

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International Journal of Environmental Research and Public Health
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Human error significantly impacts system safety, causing over 80% of accidents. A new complex network-based Human Factors Analysis (HFA) method and causation model offer universal solutions for accident prevention.

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Area of Science:

  • System Safety Engineering
  • Human Factors Analysis
  • Complex Network Theory

Background:

  • Human behavioral errors are a primary cause of occupational and industrial accidents, accounting for over 80%.
  • System complexity and element coupling exacerbate the impact of human errors on overall reliability and safety.

Purpose of the Study:

  • To propose a novel Human Factors Analysis (HFA) method based on complex network theory.
  • To develop a universal human error causation model and a network analysis method for comprehensive human error assessment.

Main Methods:

  • Conceptualizing a complex network integrating humans, materials, environment, and management within system safety theory.
  • Developing a Human Factors Analysis (HFA) network structure and a universal human error causation model.
  • Applying network analysis to retrospectively examine human errors in industrial accidents, such as gas explosions.

Main Results:

  • The proposed HFA methods are universally applicable across various fields.
  • The combined approach enhances human error management effectiveness.
  • The methods facilitate targeted, proactive, systematic, and dynamic prevention by identifying critical nodes and pathways.

Conclusions:

  • The complex network-based HFA approach provides a holistic perspective for managing human errors.
  • This methodology improves the systematic prevention of accidents by addressing critical factors in socio-technical systems.
  • The study demonstrates the efficacy of integrated network analysis and causation modeling for proactive safety management.