<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>IRANIAN JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING</title>
<title_fa></title_fa>
<short_title>IJEEE</short_title>
<subject>Engineering &amp; Technology</subject>
<web_url>http://ijeee.iust.ac.ir</web_url>
<journal_hbi_system_id>18</journal_hbi_system_id>
<journal_hbi_system_user>agent2</journal_hbi_system_user>
<journal_id_issn>1735-2827</journal_id_issn>
<journal_id_issn_online>1735-2827</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi></journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science></journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1403</year>
	<month>12</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2025</year>
	<month>3</month>
	<day>1</day>
</pubdate>
<volume>21</volume>
<number>1</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Modeling and simulation of piezoelectric-based train-induced vibration energy harvester railway track monitoring system</title>
	<subject_fa>Diagnostics</subject_fa>
	<subject>Diagnostics</subject>
	<content_type_fa>Research Paper </content_type_fa>
	<content_type>Research Paper </content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;span style=&quot;font-size:10.0pt&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; style=&quot;font-family:&quot; times=&quot;&quot;&gt;This study aims to evaluate a cantilever beam type piezoelectric energy harvester operating on train-induced vibrations for powering Wireless Sensor Networks (WSNs) used in railway track monitoring systems. Harvester&amp;#39;s behaviors under different conditions are simulated in MATLAB using the analytical model. Natural frequency, maximum deflection, and stress are calculated with greater precision using eigen frequency and stationary analysis using COMSOL Multiphysics. At a base excitation of 2 g and a resonant frequency of 4.38 Hz, the simulated results showed that the developed energy harvester prototype could generate up to 14 V of AC output voltage and 550 mW of output power. These findings highlight the promising potential of the proposed energy harvester for transforming train mechanical energy into electrical power. This energy harvester&amp;#39;s viability and dependability for real-world applications in monitoring railway tracks are supported by developed analytical and simulation models.&lt;/span&gt;&lt;/span&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>COMSOL Multiphysics, Energy harvester, Train-induced vibration, Railway track monitoring.</keyword>
	<start_page>83</start_page>
	<end_page>94</end_page>
	<web_url>http://ijeee.iust.ac.ir/browse.php?a_code=A-10-5049-2&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Shuvojit</first_name>
	<middle_name></middle_name>
	<last_name>Kundu</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>theshuvojit@gmail.com</email>
	<code>1800319475328460016032</code>
	<orcid>1800319475328460016032</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Shuvojit Kundu, Information &amp; Communication Engineering, Hannam University, Daejeon, South Korea</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Tuhel</first_name>
	<middle_name></middle_name>
	<last_name>Ahmed</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>a.tuhel71@gmail.com</email>
	<code>1800319475328460016033</code>
	<orcid>1800319475328460016033</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Tuhel Ahmed, Information &amp; Communication Engineering, Hannam University, Daejeon, South Korea</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>JIA</first_name>
	<middle_name></middle_name>
	<last_name>UDDIN</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>jia.uddin@wsu.ac.kr</email>
	<code>1800319475328460016034</code>
	<orcid>1800319475328460016034</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Jia Uddin, AI and Big Data Department, Endicott College, Woosong University, Daejeon, South Korea. </affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
