JOURNAL ARTICLE
DESIGN OF VIRTUAL ELECTRICAL LABORATORIES FOR PERFORMING STEADY STATE AND TRANSIENT RESPONSE OF R-L, R-C AND R-L-C CIRCUIT.
Published In: i-Manager's Journal on Electronics Engineering, 2023, v. 13, n. 4. P. 10 1 of 3
Database: Applied Science & Technology Source Ultimate 2 of 3
Authored By: DAS, SOUPTIK; CHAKRABORTY, TIRTHANKAR; CHOUDHARY, ABANTIKA; PARAMANIK, SAYAN; SARKER, KRISHNA; SARKAR, KOUSTUV 3 of 3
Abstract
This paper delves into the concept of virtual electrical laboratories, offering a comprehensive exploration of their design and functionality. A user-centered perspective is employed to analyze existing limitations and underscore the critical need for improved usability in virtual lab design. The study proposes practical applications aimed at swiftly enhancing the efficacy of these virtual environments, focusing on experiments involving R-L-C, R-L, and R-C circuits for both steadystate and transient responses. Using JavaScript, Hypertext Markup Language (HTML), and Cascading Style Sheets (CSS), the paper introduces a validated methodology through real-time experiments conducted in the laboratory and on the proposed virtual lab platform. The versatility of this approach positions it as a viable solution for implementation in various domains, including electric machines, power systems, and circuit theory labs. In alignment with the growing trend of long-distance education, where students seek engagement in diverse experiments from their homes, this paper contributes to the evolution of virtual electrical laboratories. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:i-Manager's Journal on Electronics Engineering. 2023/07, Vol. 13, Issue 4, p10
- Document Type:Article
- Subject Area:Computer Science
- Publication Date:2023
- ISSN:22297286
- DOI:10.26634/jele.13.4.20069
- Accession Number:173917190
- Copyright Statement:Copyright of i-Manager's Journal on Electronics Engineering is the property of i-manager Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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