Dr. Srinivas Chikkam
Qualification : Ph.D. (NIT, Delhi)
Designation : Asst. Professor
Email: [email protected]
Details of Educational Qualification:
| Course | Specialization | Branch | Institute / University | Year of Passing |
|---|---|---|---|---|
| Ph.D. | Electrical and Electronics Engineering | Electrical and Electronics Engineering | National Institute of Technology, Delhi | 2024 |
| M.Tech. | Power Electronics | Electrical Engineering | JNTU Kakinada | 2015 |
| B.E. | Electrical and Electronics Engineering | Electrical and Electronics Engineering | SRKR Engineering College, Andhra university | 2008 |
Research Areas:
- Machinery Fault Diagnosis and Condition Monitoring
Research Identifiers:
- Scopus : https://www.scopus.com/authid/detail.uri?authorId=57211372599
- Vidwan : https://mits.irins.org/profile/562266
- Google scholar : https://scholar.google.com/citations?user=GtW5uVYAAAAJ&hl=en
- h-Index (As per Scopus Data) : 4
Publication Details:
| S.No | Publication Affiliation | Academic Year | Author Position | Details of Research Publication | Indexing | Publication | Journal Quartile (Q1/Q2/Q3/Q4) |
|---|---|---|---|---|---|---|---|
| 1 | MITS | 2024-25 | 5 | A state-of-the-art review on concurrent voltage and frequency regulation problems in renewable integrated power networks. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 47(1), 16–49. https://doi.org/10.1080/15567036.2025.2462799 | SCI | Article | Q1 |
| 2 | Others | 2021-22 | 1 | Condition Monitoring and Fault Diagnosis of Induction Motor using DWT and ANN. Arab J Sci Eng 48, 6237–6252 (2023). https://doi.org/10.1007/s13369-022-07294-3 | SCI | Article | Q1 |
| 3 | Others | 2021-22 | 1 | High-Resolution-Based Electrical Fault Diagnosis of Induction Motor Using Gabor analysis of Quadrature Stator Current at Variable Speed Regime. Arab J Sci Eng 47, 14055–14074 (2022). https://doi.org/10.1007/s13369-022-06623-w | SCI | Article | Q1 |
| 4 | Others | 2021-22 | 1 | Stockwell Transform of Quadrature Stator Current-Based Fault Assessment in Induction Machine at Different Load Condition. J. Vib. Eng. Technol. 12, 177–190 (2024). https://doi.org/10.1007/s42417-022-00835-y | SCI | Article | Q2 |
| 5 | Others | 2019-20 | 1 | Smart Classifiers Based Classification and Condition Monitoring of Induction Motor Faults. International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-12, October 2019 | Scopus | Article |
Awards/Achievements
- Best Research Scholar Award in NIT Delhi in 2017
- Acted as a technical session coordinator in INTERNATIONAL CONFERENCE ON SMART SYSTEMS FOR APPLICATIONS IN ELECTRICAL SCIENCES [ICSSES-2025] on 21-25 MARCH 2025.