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Report on Internship Program by Shrimitha Energy Solutions

Shrimitha Energy Solutions Private Limited, incubated at SSNiFound organized an internship program during the month of July-Aug.2024 for the following students: R. B. ALAGAR KARTHICK, IIIakkiya. A. K, Gunali. T, Esha Agnes, IIIrd year EEE. This internship was coordinated by Dr.R.Seyezhai, P/EEE, Director/Shrimitha Energy Solutions Pvt. Limited and Ms.B.Lakshmi Prabha, Research scholar. The internship program provided students with hands-on experience in the field of power electronics, specifically focusing on DC-DC converters.

Program Highlights:

During the internship, students undertook a comprehensive project focused on the design, simulation, analysis, and lifetime estimation of DC-DC converters for various applications. The primary objective was to explore different converter topologies, examine key design aspects of power converters, and assess the reliability of power converter systems. As part of the internship, students conducted a reliability evaluation of power electronic converters, where system failures could have critical consequences. They calculated the failure rates for each component based on stress levels, and these failure rates were combined to determine the Mean Time to Failure (MTTF) for the converters, providing a quantitative measure of their reliability.

Program Outcomes:

Within one month, the students applied three advanced techniques to estimate the lifetime of the power converters. These methods were employed for reliability estimation, and the results were validated using specialized software.
1. Part Stress Analysis (PSA)
2. Fault Tree Analysis (FTA)
3. Bayesian Belief Network (BBN).

The PSA method was performed using MIL Handbook 217F. FTA was conducted using the Item Tool Kit software; by constructing a fault tree diagram. The BBN analysis offered a probabilistic evaluation of component failures, providing a more detailed understanding of the system’s reliability by considering the interdependencies between different failure modes.

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