2019
DOI: 10.3390/pr7100648
|View full text |Cite
|
Sign up to set email alerts
|

An Integration Method Using Kernel Principal Component Analysis and Cascade Support Vector Data Description for Pipeline Leak Detection with Multiple Operating Modes

Abstract: Pipelines are one of the most efficient and economical methods of transporting fluids, such as oil, natural gas, and water. However, pipelines are often subject to leakage due to pipe corrosion, pipe aging, pipe weld defects, or damage by a third-party, resulting in huge economic losses and environmental degradation. Therefore, effective pipeline leak detection methods are important research issues to ensure pipeline integrity management and accident prevention. The conventional methods for pipeline leak detec… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
6
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 26 publications
(6 citation statements)
references
References 48 publications
0
6
0
Order By: Relevance
“…In this research, the development of the neuro-fuzzy classifier involves the following two steps. First, k-Means clustering [19,22,23] embedding heuristic knowledge into the neuro-fuzzy classifier is used to construct the fuzzy IF-THEN rules of the neuro-fuzzy classifier from a training dataset. Each of the constructed fuzzy rules in the rule base is in charge of a partition of the feature space, where the considered electrical features are the universe of discourse.…”
Section: Neuro-fuzzy Classification With K-means Clusteringmentioning
confidence: 99%
“…In this research, the development of the neuro-fuzzy classifier involves the following two steps. First, k-Means clustering [19,22,23] embedding heuristic knowledge into the neuro-fuzzy classifier is used to construct the fuzzy IF-THEN rules of the neuro-fuzzy classifier from a training dataset. Each of the constructed fuzzy rules in the rule base is in charge of a partition of the feature space, where the considered electrical features are the universe of discourse.…”
Section: Neuro-fuzzy Classification With K-means Clusteringmentioning
confidence: 99%
“…Examples of different degrees of scoring and wear, shear fracture, and tearing of the seal are shown in Figures 1-3, respectively. Valve failures lead to oil and gas leakage [2], resulting in accidents [3] and causing serious economic losses and even casualties. Valve failure will cause the valve to be ineffective and ultimately unusable.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, pipeline fluids are frequently hazardous, corrosive, and flammable media [22]. Therefore, pipeline leaking gravely contaminates the environment, causing economic loss of resources and products.…”
Section: Introductionmentioning
confidence: 99%