Paper Title
Testing data analysis of Traction Motor using power BI
Article Identifiers
Authors
ASHWINI WAGHAMARE , HUMERA ANJUM ABDUL KHALED , ROHINI DATTA AMBRULE , A.B. MALI
Keywords
.
Abstract
This study presents the testing data analysis of traction motors and alternators using Power BI software. The research explores the performance and reliability of these critical components in various applications, such as automotive and industrial machinery. Through data collection, cleaning, and visualization with Power BI, key insights into the health and efficiency of these components are gained. The findings aid in optimizing maintenance and decision-making processes, ultimately enhancing the overall functionality and longevity of traction motors and alternators.
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How To Cite (APA)
ASHWINI WAGHAMARE, HUMERA ANJUM ABDUL KHALED , ROHINI DATTA AMBRULE , & A.B. MALI (April-2024). Testing data analysis of Traction Motor using power BI . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), e239-e243. https://ijnrd.org/papers/IJNRD2404425.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : e239-e243
Other Publication Details
Paper Reg. ID: IJNRD_218648
Published Paper Id: IJNRD2404425
Downloads: 000121985
Research Area: Electrical EngineeringÂ
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404425.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404425
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
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Current Issue: Volume 10 | Issue 10 | October 2025
Impact Factor: 8.76
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