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Related Concept Videos

Fault Types01:18

Fault Types

428
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...
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Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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Trial and Error and Algorithm01:12

Trial and Error and Algorithm

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A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
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Sensitivity, Specificity, and Predicted Value01:13

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In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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Description
Sputum culture and sensitivity is a medical procedure used to diagnose bacterial infections in the respiratory tract and select the most appropriate antibiotics for treatment. This process involves analyzing sputum samples of thick and opaque secretions produced in the lungs and airways. These samples are collected from patients and then sent to the laboratory for analysis.
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Related Experiment Video

Updated: Feb 6, 2026

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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Sensitivity-Based Fault Detection and Isolation Algorithm for Road Vehicle Chassis Sensors.

Wonbin Na1, Changwoo Park2, Seokjoo Lee3

  • 1Department of Electrical Engineering, Hanyang University, Seoul 04763, Korea. nao6114@hanyang.ac.kr.

Sensors (Basel, Switzerland)
|August 22, 2018
PubMed
Summary

This study introduces a novel method for detecting and isolating sensor faults in vehicle control systems. By analyzing system constraints and residuals, it enhances safety and reliability in automotive applications.

Keywords:
fault detection and isolationfault diagnosishardware-in-the-loopmodel-in-the-looproad vehiclesensitivity analysis

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Area of Science:

  • Automotive Engineering
  • Control Systems
  • Sensor Technology

Background:

  • Vehicle control systems like ESC, MDPS, and ECS enhance stability and safety.
  • Advanced driver assistance systems (DASs) such as ACC, LKA, and AEB are increasingly integrated.
  • Sensor failures in these systems can compromise vehicle function, leading to safety risks.

Purpose of the Study:

  • To propose a new method for fault detection and isolation (FDI) in vehicle control system sensors.
  • To improve the accuracy and reliability of identifying sensor failures.
  • To enhance overall vehicle safety and performance.

Main Methods:

  • Applied model-based fault diagnosis to chassis system sensors, calculating constraints and residuals for 12 systems.
  • Utilized residual sensitivity analysis for threshold determination to improve fault detection accuracy.
  • Employed sensitivity analysis on a parameter semi-correlation table to generate a fault isolation table.

Main Results:

  • Developed a robust FDI algorithm capable of detecting and isolating sensor faults.
  • Demonstrated improved accuracy in fault detection and isolation compared to traditional methods.
  • Successfully validated the algorithm in a hardware-in-the-loop simulation (HILS) environment.

Conclusions:

  • The proposed FDI method effectively addresses sensor failure issues in vehicle control systems.
  • The approach enhances the safety and reliability of advanced driver assistance systems.
  • Validation in HILS confirms the practical applicability and effectiveness of the developed algorithm.