Energy Pipeline Individual Defect Growth Prediction Using In-Line-Inspection Data Article Swipe

PDF

Muhammad Nihal Hussain , Tieling Zhang , Richard Dwight ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.19124/ima.2025.01.32

Related Topics

International Atomic Energy Agency

Dark Energy

Energy

List Of Highest Individual Scores In One Day International Cricket

Indian Point Energy Center

Sting Energy

Potential Energy

United States Secretary Of Energy

Gilbert U-238 Atomic Energy Laboratory

Energy In The United Kingdom

Radiant Energy

2019 Monster Energy Nascar Cup Series

Concepts

No concepts available.

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.19124/ima.2025.01.32
PDF: https://doi.org/10.19124/ima.2025.01.32
OA Status: gold
Related Works: 10
OpenAlex ID: https://openalex.org/W4414133446

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4414133446

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.19124/ima.2025.01.32

Digital Object Identifier
Title: Energy Pipeline Individual Defect Growth Prediction Using In-Line-Inspection Data

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2025

Year of publication
Publication date: 2025-07-10

Full publication date if available
Authors: Muhammad Nihal Hussain, Tieling Zhang, Richard Dwight

List of authors in order
Landing page: https://doi.org/10.19124/ima.2025.01.32

Publisher landing page
PDF URL: https://doi.org/10.19124/ima.2025.01.32

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: gold

Open access status per OpenAlex
OA URL: https://doi.org/10.19124/ima.2025.01.32

Direct OA link when available
Cited by: 0

Total citation count in OpenAlex
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4414133446
doi	https://doi.org/10.19124/ima.2025.01.32
ids.doi	https://doi.org/10.19124/ima.2025.01.32
ids.openalex	https://openalex.org/W4414133446
fwci	0.0
type	article
title	Energy Pipeline Individual Defect Growth Prediction Using In-Line-Inspection Data
biblio.issue
biblio.volume
biblio.last_page
biblio.first_page
topics[0].id	https://openalex.org/T12169
topics[0].field.id	https://openalex.org/fields/22
topics[0].field.display_name	Engineering
topics[0].score	0.9952999949455261
topics[0].domain.id	https://openalex.org/domains/3
topics[0].domain.display_name	Physical Sciences
topics[0].subfield.id	https://openalex.org/subfields/2210
topics[0].subfield.display_name	Mechanical Engineering
topics[0].display_name	Non-Destructive Testing Techniques
topics[1].id	https://openalex.org/T12111
topics[1].field.id	https://openalex.org/fields/22
topics[1].field.display_name	Engineering
topics[1].score	0.986299991607666
topics[1].domain.id	https://openalex.org/domains/3
topics[1].domain.display_name	Physical Sciences
topics[1].subfield.id	https://openalex.org/subfields/2209
topics[1].subfield.display_name	Industrial and Manufacturing Engineering
topics[1].display_name	Industrial Vision Systems and Defect Detection
topics[2].id	https://openalex.org/T10834
topics[2].field.id	https://openalex.org/fields/22
topics[2].field.display_name	Engineering
topics[2].score	0.9623000025749207
topics[2].domain.id	https://openalex.org/domains/3
topics[2].domain.display_name	Physical Sciences
topics[2].subfield.id	https://openalex.org/subfields/2210
topics[2].subfield.display_name	Mechanical Engineering
topics[2].display_name	Welding Techniques and Residual Stresses
is_xpac	False
apc_list
apc_paid
language	en
locations[0].id	doi:10.19124/ima.2025.01.32
locations[0].is_oa	True
locations[0].source
locations[0].license
locations[0].pdf_url	https://doi.org/10.19124/ima.2025.01.32
locations[0].version	publishedVersion
locations[0].raw_type	proceedings-article
locations[0].license_id
locations[0].is_accepted	True
locations[0].is_published	True
locations[0].raw_source_name	Proceedings of the 13th IMA International Conference on Modelling in Industrial Maintenance and Reliability
locations[0].landing_page_url	https://doi.org/10.19124/ima.2025.01.32
indexed_in	crossref
authorships[0].author.id	https://openalex.org/A5052560261
authorships[0].author.orcid	https://orcid.org/0000-0003-0584-300X
authorships[0].author.display_name	Muhammad Nihal Hussain
authorships[0].author_position	first
authorships[0].raw_author_name	Muhammad Hussain
authorships[0].is_corresponding	False
authorships[1].author.id	https://openalex.org/A5027749163
authorships[1].author.orcid	https://orcid.org/0000-0001-8506-9290
authorships[1].author.display_name	Tieling Zhang
authorships[1].author_position	middle
authorships[1].raw_author_name	Tieling Zhang
authorships[1].is_corresponding	False
authorships[2].author.id	https://openalex.org/A5088265608
authorships[2].author.orcid	https://orcid.org/0000-0002-9385-8609
authorships[2].author.display_name	Richard Dwight
authorships[2].author_position	last
authorships[2].raw_author_name	Richard Dwight
authorships[2].is_corresponding	False
has_content.pdf	True
has_content.grobid_xml	True
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://doi.org/10.19124/ima.2025.01.32
open_access.oa_status	gold
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Energy Pipeline Individual Defect Growth Prediction Using In-Line-Inspection Data
has_fulltext	False
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T12169
primary_topic.field.id	https://openalex.org/fields/22
primary_topic.field.display_name	Engineering
primary_topic.score	0.9952999949455261
primary_topic.domain.id	https://openalex.org/domains/3
primary_topic.domain.display_name	Physical Sciences
primary_topic.subfield.id	https://openalex.org/subfields/2210
primary_topic.subfield.display_name	Mechanical Engineering
primary_topic.display_name	Non-Destructive Testing Techniques
related_works	https://openalex.org/W4391375266, https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W2390279801, https://openalex.org/W4391913857, https://openalex.org/W2358668433, https://openalex.org/W4396701345, https://openalex.org/W2376932109, https://openalex.org/W2001405890, https://openalex.org/W4396696052
cited_by_count	0
locations_count	1
best_oa_location.id	doi:10.19124/ima.2025.01.32
best_oa_location.is_oa	True
best_oa_location.source
best_oa_location.license
best_oa_location.pdf_url	https://doi.org/10.19124/ima.2025.01.32
best_oa_location.version	publishedVersion
best_oa_location.raw_type	proceedings-article
best_oa_location.license_id
best_oa_location.is_accepted	True
best_oa_location.is_published	True
best_oa_location.raw_source_name	Proceedings of the 13th IMA International Conference on Modelling in Industrial Maintenance and Reliability
best_oa_location.landing_page_url	https://doi.org/10.19124/ima.2025.01.32
primary_location.id	doi:10.19124/ima.2025.01.32
primary_location.is_oa	True
primary_location.source
primary_location.license
primary_location.pdf_url	https://doi.org/10.19124/ima.2025.01.32
primary_location.version	publishedVersion
primary_location.raw_type	proceedings-article
primary_location.license_id
primary_location.is_accepted	True
primary_location.is_published	True
primary_location.raw_source_name	Proceedings of the 13th IMA International Conference on Modelling in Industrial Maintenance and Reliability
primary_location.landing_page_url	https://doi.org/10.19124/ima.2025.01.32
publication_date	2025-07-10
publication_year	2025
referenced_works_count	0
abstract_inverted_index
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	3
citation_normalized_percentile.value	0.46811939
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False