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Related Concept Videos

Instrument Transformers01:23

Instrument Transformers

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Instrument transformers, comprising voltage transformers (VTs) and current transformers (CTs), play crucial roles in power substations by providing isolated replicas of current or voltage for measurement and protection purposes. Voltage transformers reduce the primary voltage to levels suitable for relay operation and measurement, while current transformers scale down the primary current. The primary winding of a current transformer often consists of a single turn, achieved by threading the...
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Relation of DFT to z-Transform01:20

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The Discrete Fourier Transform (DFT) is a crucial tool for analyzing the frequency content of discrete-time signals. It converts a sequence of N samples from the time domain into its corresponding sequence in the frequency domain, where each sample represents a specific frequency component.
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The practical equivalent circuits of single-phase two-winding transformers exhibit significant deviations from their idealized versions due to the inherent properties of winding resistance and finite core permeability. These properties result in real and reactive power losses, affecting the transformer's performance. Understanding these deviations is crucial for designing more efficient transformers.
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In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
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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...
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Differential relays are used to protect generators, buses, and transformers by comparing electrical quantities at different points. When a fault occurs, the difference in current between the two points triggers the relay to operate, opening the circuit breaker. Under normal conditions, the current entering (i1) and leaving (i2) a generator are equal. When a fault occurs, however, these currents become unequal, and the difference current flows in the relay operating coil, causing the relay to...
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A TMO-ZnO Heterojunction-Based Sensor for Transformer Defect Detection: A DFT Study.

Jingyi Yan1, Weiju Dai1, Dexu Zou1

  • 1Electric Power Research Institute of Yunnan Power Grid, Kunming 650214, China.

Nanomaterials (Basel, Switzerland)
|June 11, 2025
PubMed
Summary
This summary is machine-generated.

Transition metal oxide-ZnO heterojunction sensors show enhanced gas sensing for H2, CO, and C2H4. These sensors improve selectivity and resist poisoning, aiding transformer defect detection.

Keywords:
density functional theorydissolved gasesenergy efficiency analysismetal oxide heterojunctiontransformer defect detection

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Area of Science:

  • Materials Science
  • Chemical Engineering
  • Sensor Technology

Background:

  • Transition metal oxide (TMO)-ZnO heterojunctions are explored for gas sensing applications.
  • Improving sensor selectivity and resistance to poisoning is crucial for practical gas detection.

Purpose of the Study:

  • To analyze the gas adsorption and sensing properties of TMO-ZnO heterojunction sensors for hydrogen (H2), carbon monoxide (CO), and ethylene (C2H4).
  • To investigate the impact of different TMOs (CuO, Ag2O, Cu2O) on sensor performance and stability.

Main Methods:

  • Computational analysis of gas adsorption on TMO-ZnO heterojunctions.
  • Evaluation of gas sensing performance and selectivity for target gases.
  • Assessment of sensor poisoning resistance through adsorption process simulation.

Main Results:

  • CuO, Ag2O, and Cu2O form stable heterojunctions with ZnO, enhancing sensor performance.
  • CuO-ZnO exhibits physical adsorption for H2 and good sensing for CO and C2H4.
  • Ag2O-ZnO and Cu2O-ZnO show significant responses to H2, CO, and C2H4.
  • TMO-ZnO heterojunctions effectively prevent sensor poisoning due to structural stability during gas adsorption.

Conclusions:

  • TMO-ZnO heterojunctions offer improved gas sensing capabilities and selectivity for H2, CO, and C2H4.
  • The structural integrity of heterojunctions ensures resistance to sensor poisoning.
  • This research provides a theoretical basis for developing TMO-ZnO sensors for transformer defect monitoring and energy efficiency analysis.