Synchrosqueezed Wavelet transform Based Power Quality Disturbance Detection and Monitoring of Solar Integrated Micro-Grid

Author:

Pattanaik Debasish1,Swain Sarat Chandra1,Samanta Indu Sekhar2,Rout Ullash Kumar3,Dash Ritesh4,Swain Kunjabihari5

Affiliation:

1. KIIT Deemed to be University,School of Electrical Engineering,Bhubaneswar,India

2. ITER, SOA University,Dept.of Computer Science and Engineering,Bhubaneswar,India

3. Odisha University of Technology and Research,Dept. of Electrical Engineering,Bhubaneswar,India

4. REVA University,Dept.of Electrical and Electronics Engineering,Bangalore,India

5. NIST Institute of Science and Technology,Dept. of Electrical and Electronics Engineering,Berhampur,India

Publisher

IEEE

Reference15 articles.

1. Automatic Detection of Power Quality Disturbance Using Convolutional Neural Network Structure with Gated Recurrent Unit;yigit;Mob Inf Syst,2021

2. Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool

3. Power quality time series data mining using S-transform and fuzzy expert system

4. Quality classification of dragon fruits based on external performance using a convolutional neural network;trieu;Appl Sci,2021

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fault Diagnosis of Power System Component by Wavelet Analysis of Current Signals;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

2. Aiming to Complex Power Quality Disturbances: A Novel Decomposition and Detection Framework;IEEE Transactions on Industrial Informatics;2023

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