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Gas Chromatography: Types of Detectors-II01:19

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In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...
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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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Related Experiment Video

Updated: Jan 16, 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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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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Spectral-Based Fault Detection Method in Marine Diesel Engine Operation.

Joško Radić1, Matko Šarić1, Ante Rubić1

  • 1Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture in Split, University of Split, 21000 Split, Croatia.

Sensors (Basel, Switzerland)
|September 27, 2025
PubMed
Summary

This study introduces a novel method for detecting marine diesel engine malfunctions using acoustic and vibration signals. The approach achieves high accuracy, simplifying implementation for autonomous vessel development.

Keywords:
accelerometeracoustical microphonediesel enginefault detection

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Area of Science:

  • Marine engineering
  • Signal processing
  • Condition monitoring

Background:

  • Autonomous vessels are gaining interest, with diesel engines being common.
  • Detecting engine malfunctions is crucial for vessel reliability and safety.
  • Current methods may lack efficiency or require complex implementation.

Purpose of the Study:

  • To develop and validate a method for detecting marine diesel engine malfunctions.
  • To utilize acoustic and vibration signals for fault detection.
  • To simplify the implementation of engine malfunction detection systems.

Main Methods:

  • Signal analysis in the frequency domain using Discrete Fourier Transform (DFT).
  • Simultaneous analysis of acoustic data from microphones and vibration data from accelerometers.
  • Testing on a six-cylinder marine diesel engine with an emulated single-cylinder fault.

Main Results:

  • Achieved approximately 98.3% accuracy in detecting engine malfunctions under controlled conditions.
  • Demonstrated high average precision (>97%) and recall (>96%) across all sensors.
  • The method showed consistent performance across five different rotational speeds.

Conclusions:

  • The proposed signal analysis method effectively detects marine diesel engine malfunctions.
  • Identical processing of acoustic and vibration data simplifies system implementation.
  • Potential for enhanced detection accuracy through the integration of additional sensors.