Evidence map›Paper›PMID 40218737›Full record

ArticleSensors (Basel, Switzerland)2025

A Second-Order Fast Discharge Circuit for Transient Electromagnetic Transmitter.

Chao Tan, Shibin Yuan, Linshan Yu, Yaohui Chen, Changjiang He

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chao TanCollege of Electrical and New Energy, China Three Gorges University, Yichang 443002, China.ORCID 0000-0002-8910-1689
Shibin YuanCollege of Electrical and New Energy, China Three Gorges University, Yichang 443002, China.
Linshan YuCollege of Electrical and New Energy, China Three Gorges University, Yichang 443002, China.
Yaohui ChenCollege of Electrical and New Energy, China Three Gorges University, Yichang 443002, China.
Changjiang HeCollege of Electrical and New Energy, China Three Gorges University, Yichang 443002, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To solve the problem of long turn-off times for transient electromagnetic (TEM) transmitters with inductive loads, a new second-order fast discharge circuit topology added into the original H-bridge structure for TEM transmitters is presented, which includes a capacitor, two Metal-Oxide-Semiconductor Field-Effect Transistors (MOSFETs), and two resistors. Firstly, the four operating stages and principles of the second-order circuit were analyzed. Then, the mathematical models of the turn-off time of the current and the voltage stress of the Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET) were established using the analytical method. Finally, the parameters of the resistor and capacitor were selected by finding the optimal solution for the fixed transmitter coil. Compared with the simulation results of the other two topologies, the proposed topology demonstrates a current-independent turn-off time and achieves the shortest duration at 50 A, while maintaining lower voltage stress at 9 A. The experimental results of the prototype show that the turn-off time is always about 64 μs when the currents are 1 A, 5 A, and 9 A. Simulation and experimental results show that the second-order circuit reduces the MOSFET's turn-off time to 58 μs via Resistor-Inductor-Capacitor (RLC) series resonance, with the turn-off duration remaining load-current-independent.

Indexed as

circuit topologymathematical modelssecond-order circuitTEMturn-off timevoltage stress

Identifiers

PMID40218737
PMCPMC11991099

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.