Evidence map›Paper›PMID 35898022›Full record

ArticleSensors (Basel, Switzerland)2022

A Time-of-Flight Estimation Method for Acoustic Ranging and Thermometry Based on Digital Lock-In Filtering.

Qi Liu, Bin Zhou, Jianyong Zhang, Ruixue Cheng, Xuhao Zhao, Rong Zhao, Minglu Dai, Bubin Wang, Yihong Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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. Article
  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

9 authors.

Qi LiuSchool of Energy and Environment, Southeast University, Nanjing 210096, China.ORCID 0000-0002-5516-8543
Bin ZhouSchool of Energy and Environment, Southeast University, Nanjing 210096, China.
Jianyong ZhangSchool of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK.ORCID 0000-0002-9538-9332
Ruixue ChengSchool of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK.ORCID 0000-0002-0342-295X
Xuhao ZhaoSchool of Energy and Environment, Southeast University, Nanjing 210096, China.
Rong ZhaoSchool of Energy and Environment, Southeast University, Nanjing 210096, China.ORCID 0000-0003-0592-2437
Minglu DaiSchool of Energy and Environment, Southeast University, Nanjing 210096, China.
Bubin WangSchool of Energy and Environment, Southeast University, Nanjing 210096, China.ORCID 0000-0002-4034-7135
Yihong WangSchool of Energy and Environment, Southeast University, Nanjing 210096, China.ORCID 0000-0001-8407-061X

Funding

National Key Research and Development Program of China 2017YFB0603204National Natural Science Foundation of China 50976024,50906013
6 · The paper itself

Abstract

Accurate ranging and real-time temperature monitoring are essential for metrology and safety in electrical conduit applications. This paper proposes an acoustic time-of-flight (TOF) estimation method based on the digital lock-in filtering (DLF) technique for conduit ranging and thermometry. The method establishes the relationship between the frequency and the time domain by applying a linear frequency modulated Chirp signal as the sound source and using the DLF technique to extract the first harmonic of the characteristic frequencies of the transmitted and received signals. Acoustic TOF estimation in the conduit is then achieved by calculating the mathematical expectation of the time difference between each characteristic frequency in the time-frequency relationship of the two signals. The experimental results with enhanced noise interference on different conduit lengths and various temperature conditions, proved that the proposed DLF method can establish a robust linear time-frequency relationship according to the characteristics of the Chirp signal, and the measurement accuracy of TOF has also been confirmed. Compared to the conventional method, the DLF method provides the lowest absolute error and standard deviation for both distance and temperature measurements with an enhanced robustness.

Indexed as

acoustic rangingacoustic thermometrydigital lock-in filteringelectrical conduittime-of-flight estimation

Identifiers

PMID35898022
PMCPMC9330125

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.