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Related Concept Videos

Fault Types01:18

Fault Types

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...
Discrete Fourier Transform01:15

Discrete Fourier Transform

The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
Three-Phase Short Circuit—Unloaded Synchronous Machine01:21

Three-Phase Short Circuit—Unloaded Synchronous Machine

Conducting a three-phase short circuit test on an unloaded synchronous machine helps understand its impact on the system. The AC fault current's oscillogram, with the DC offset removed, reveals that the waveform amplitude decreases from an initially high value to a steady-state level for one phase of the machine.
This behavior occurs due to the magnetic flux produced by the short-circuit armature currents. Initially, these currents follow high-reluctance paths but eventually shift to...
Power System Three-Phase Short Circuits01:21

Power System Three-Phase Short Circuits

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...
Modes of Standing Waves - I01:03

Modes of Standing Waves - I

A close look at earthquakes provides evidence for the conditions appropriate for resonance, standing waves, and constructive and destructive interference. A building may vibrate for several seconds with a driving frequency matching the building's natural frequency of vibration; this produces a resonance that results in one building collapsing while the neighboring buildings do not. Often, buildings of a certain height are devastated, while other taller buildings remain intact. This phenomenon...
Vibrating Concrete01:19

Vibrating Concrete

Mechanical vibrators are instrumental in compacting newly poured concrete within formwork and around reinforcements. This process is essential to eliminate trapped air pockets and establish a dense concrete mass. One widely used method is vibrating by internal vibrators, often referred to as a poker vibrator or immersion vibrator. It is rapidly inserted through the full depth of the freshly laid concrete and slightly extends into the layer below it (which remains in a plastic state). Consistent...

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Related Experiment Video

Updated: Jul 17, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Time-series methods for fault detection and identification in vibrating structures.

Spilios D Fassois1, John S Sakellariou

  • 1Stochastic Mechanical Systems (SMS) Group, Department of Mechanical & Aeronautical Engineering, University of Patras, GR 265 00 Patras, Greece. fassois@mech.upatras.gr

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|January 27, 2007
PubMed
Summary

This study introduces new time-series methods for detecting, identifying, and estimating faults in vibrating structures. Practical applications are shown using case studies on aircraft and simulated structures.

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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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Area of Science:

  • Structural Health Monitoring
  • Vibrational Analysis
  • Signal Processing

Background:

  • Vibrating structures are susceptible to faults that can compromise integrity.
  • Effective fault detection, identification, and estimation are crucial for safety and maintenance.

Purpose of the Study:

  • To provide an overview of time-series methods for structural fault analysis.
  • To introduce and discuss novel time-series techniques for fault detection, identification, and estimation.
  • To demonstrate the practical utility of these methods.

Main Methods:

  • Classification of existing and new time-series methods.
  • Discussion of the features and operational principles of these methods.
  • Application of selected methods to case studies.

Main Results:

  • A comprehensive classification of time-series methods for structural fault analysis.
  • Introduction of new, effective techniques for fault detection, identification, and estimation.
  • Validation of method practicality and effectiveness through real-world and simulated structural examples.

Conclusions:

  • Time-series methods offer a robust framework for analyzing faults in vibrating structures.
  • The presented new methods enhance the capability for accurate fault detection, identification, and estimation.
  • Case studies confirm the applicability and success of these techniques in diverse structural scenarios.