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		<title>Lin Yeh 2019a - Revision history</title>
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		<updated>2026-05-11T18:00:51Z</updated>
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		<id>http://www.colloquiam.com/wd/index.php?title=Lin_Yeh_2019a&amp;diff=211046&amp;oldid=prev</id>
		<title>Scipediacontent: Scipediacontent moved page Draft Content 279101562 to Lin Yeh 2019a</title>
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				<updated>2021-02-12T11:30:13Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_279101562&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 279101562&quot;&gt;Draft Content 279101562&lt;/a&gt; to &lt;a href=&quot;/public/Lin_Yeh_2019a&quot; title=&quot;Lin Yeh 2019a&quot;&gt;Lin Yeh 2019a&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 11:30, 12 February 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan='2' style='text-align: center;' lang='en'&gt;&lt;div class=&quot;mw-diff-empty&quot;&gt;(No difference)&lt;/div&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>http://www.colloquiam.com/wd/index.php?title=Lin_Yeh_2019a&amp;diff=211045&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  This research introduces an inverse transient-based optimization approach to automatically detect potential faults, such as leaks, partial blockages, and dist...&quot;</title>
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				<updated>2021-02-12T11:30:10Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  This research introduces an inverse transient-based optimization approach to automatically detect potential faults, such as leaks, partial blockages, and dist...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
This research introduces an inverse transient-based optimization approach to automatically detect potential faults, such as leaks, partial blockages, and distributed deteriorations, within pipelines or a water distribution network (WDN). The optimization approach is named the Pipeline Examination Ordinal Symbiotic Organism Search (PEOS). A modified steady hydraulic model considering the effects of pipe aging within a system is used to determine the steady nodal heads and piping flow rates. After applying a transient excitation, the transient behaviors in the system are analyzed using the method of characteristics (MOC). A preliminary screening mechanism is adopted to sift the initial organisms (solutions) to perform better to reduce most of the unnecessary calculations caused by incorrect solutions within the PEOS framework. Further, a symbiotic organism search (SOS) imitates symbiotic relationship strategies to move organisms toward the current optimal organism and eliminate the worst ones. Two experiments on leak and blockage detection in a single pipeline that have been presented in the literature were used to verify the applicability of the proposed approach. Two hypothetical WDNs, including a small-scale and large-scale system, were considered to validate the efficiency, accuracy, and robustness of the proposed approach. The simulation results indicated that the proposed approach obtained more reliable and efficient optimal results than other algorithms did. We believe the proposed fault detection approach is a promising technique in detecting faults in field applications.&lt;br /&gt;
&lt;br /&gt;
Document type: Article&lt;br /&gt;
&lt;br /&gt;
== Full document ==&lt;br /&gt;
&amp;lt;pdf&amp;gt;Media:Draft_Content_279101562-beopen12-7351-document.pdf&amp;lt;/pdf&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [http://dx.doi.org/10.3390/w11061154 http://dx.doi.org/10.3390/w11061154] under the license https://creativecommons.org/licenses/by&lt;br /&gt;
&lt;br /&gt;
* [http://dx.doi.org/10.3390/w11061154 http://dx.doi.org/10.3390/w11061154] under the license http://creativecommons.org/licenses/by/3.0/&lt;br /&gt;
&lt;br /&gt;
* [https://www.mdpi.com/2073-4441/11/6/1154/pdf https://www.mdpi.com/2073-4441/11/6/1154/pdf] under the license https://creativecommons.org/licenses/by/4.0&lt;br /&gt;
&lt;br /&gt;
* [https://www.mdpi.com/2073-4441/11/6/1154 https://www.mdpi.com/2073-4441/11/6/1154],&lt;br /&gt;
: [https://doaj.org/toc/2073-4441 https://doaj.org/toc/2073-4441] under the license cc-by&lt;br /&gt;
&lt;br /&gt;
* [https://www.mdpi.com/2073-4441/11/6/1154 https://www.mdpi.com/2073-4441/11/6/1154],&lt;br /&gt;
: [https://www.mdpi.com/2073-4441/11/6/1154/pdf https://www.mdpi.com/2073-4441/11/6/1154/pdf],&lt;br /&gt;
: [https://ir.nctu.edu.tw:443/handle/11536/152159 https://ir.nctu.edu.tw:443/handle/11536/152159],&lt;br /&gt;
: [https://pubag.nal.usda.gov/catalog/6535926 https://pubag.nal.usda.gov/catalog/6535926],&lt;br /&gt;
: [https://scholar.nctu.edu.tw/en/publications/an-inverse-transient-based-optimization-approach-to-fault-examina https://scholar.nctu.edu.tw/en/publications/an-inverse-transient-based-optimization-approach-to-fault-examina],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/2947194308 https://academic.microsoft.com/#/detail/2947194308]&lt;br /&gt;
&lt;br /&gt;
* [https://www.mdpi.com/2073-4441/11/6/1154/pdf https://www.mdpi.com/2073-4441/11/6/1154/pdf],&lt;br /&gt;
: [http://dx.doi.org/10.3390/w11061154 http://dx.doi.org/10.3390/w11061154]&lt;br /&gt;
&lt;br /&gt;
 under the license https://creativecommons.org/licenses/by/4.0/&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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