Evidence map›Paper›PMID 30189628›Full record

ArticleSensors (Basel, Switzerland)2018

Improvement of Ultrasonic Pulse Generator for Automatic Pipeline Inspection.

Noé Amir Rodríguez-Olivares, José Vicente Cruz-Cruz, Alejandro Gómez-Hernández, Rodrigo Hernández-Alvarado, Luciano Nava-Balanzar, Tomás Salgado-Jiménez, Jorge Alberto Soto-Cajiga

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

7 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Strategies for guided acoustic wave inspection using mobile robots.Proceedings. Mathematical, physical, and engineering sciences · 2022
    Article
  4. Review
  5. Article
  6. Article
  7. 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

7 authors at 1 institution in 1 country.

Noé Amir Rodríguez-OlivaresCenter for Engineering and Industrial Development (CIDESI), Santiago de Queretaro, Queretaro 76125, Mexico. noeamir@gmail.com.ORCID 0000-0001-5892-0625
José Vicente Cruz-CruzCenter for Engineering and Industrial Development (CIDESI), Santiago de Queretaro, Queretaro 76125, Mexico. jcruz@posgrado.cidesi.edu.mx.
Alejandro Gómez-HernándezCenter for Engineering and Industrial Development (CIDESI), Santiago de Queretaro, Queretaro 76125, Mexico. algomez@posgrado.cidesi.edu.mx.ORCID 0000-0003-2089-9829
Rodrigo Hernández-AlvaradoCenter for Engineering and Industrial Development (CIDESI), Santiago de Queretaro, Queretaro 76125, Mexico. rodrigo.hernandez@cidesi.edu.mx.ORCID 0000-0001-7378-1029
Luciano Nava-BalanzarCenter for Engineering and Industrial Development (CIDESI), Santiago de Queretaro, Queretaro 76125, Mexico. lnava@cidesi.edu.mx.
Tomás Salgado-JiménezCenter for Engineering and Industrial Development (CIDESI), Santiago de Queretaro, Queretaro 76125, Mexico. tsalgado@cidesi.edu.mx.
Jorge Alberto Soto-CajigaCenter for Engineering and Industrial Development (CIDESI), Santiago de Queretaro, Queretaro 76125, Mexico. narodriguez@posgrado.cidesi.edu.mx.
Center for Engineering and Industrial Development · MX

Funding

Consejo Nacional de Ciencia y Tecnología 242864
6 · The paper itself

Abstract

This paper presents the improvement of an ultrasonic pulse generator for a pipeline inspection gauge (PIG), which uses 64 transducers for inspecting distances up to 100 km with an axial resolution fixed at 3 mm and variable speeds between 0 and 2 m/s. An ultrasonic pulse generator is composed of a high-voltage (HV) MOSFETs, driver logic and an HV power supply. We used a DC-HV DC converter device as the HV power supply because it reduces the size of the ultrasound system considerably. However, pipeline geometry and inspection effects such as hammer and shock cause a variable pulse repetition frequency (PRF), producing voltage drops, poor quality of the HV pulse generated, failures in the dimensioning of defects and damage to devices by over-voltage. Our improvement is to implement a control scheme to maintain the high quality of the HV regardless of the variable PRF. To achieve this, we characterized three transfer functions of the DC-HV DC converter, varying the connected load to 10%, 45% and 80%. For the characterization, we used the least squares technique, considering an autoregressive exogenous (ARX) model. Later, we compared three control schemes: (1) proportional-integral-derivative (PID) tuned by simultaneous optimization of several responses (SOSR), (2) PID tuned by a neural network (NN) and (3) PI tuned by the analytical design method (ADM). The metrics used to compare the control schemes were the recovery time, the maximum over-voltage and the excess energy when the shock and hammer effects happen to occur. Finally, to verify the improvement of the HV pulser, we compared the ultrasonic pulses generated for various frequencies and amplitudes using the pulse generator with and without the control scheme.

Indexed as

autoregressive exogenous modelneural networkPIDpipeline inspection gaugesimultaneous optimization of several responsesultrasonic pulse generator

Identifiers

PMID30189628
PMCPMC6163491
OpenAlexW2892141308

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.