Zero Crossing Point Detection in a Distorted Sinusoidal Signal Using Decision Tree Classifier

Non-Zero crossing point detection in a sinusoidal signal is essential in case of various power system and power electronics applications like power system protection and power converters controller design. In this paper 96 data sets are created from a distorted sinusoidal signal based on MATLAB simulation. Distorted sinusoidal signals are generated in MATLAB with various noise and harmonic levels. In this paper, logistic regression model is used to predict the non-zero crossing point in a distorted signal based on input features like slope, intercept, correlation and RMSE. Logistic regression model is trained and tested in Google Colab environment. As per simulation results, it is observed that logistic regression model is able to predict all non-zero-crossing point in a distorted signal.

show abstract

Non-Zero Crossing Point Detection in a Distorted Sinusoidal Signal Using Logistic Regression Model

Veeramsetty¹,

Srinivasula²,

Salkuti

2022

Computers

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Zero Crossing Point Detection in a Distorted Sinusoidal Signal Using Decision Tree Classifier

Cited by 1 publication

References 0 publications

Non-Zero Crossing Point Detection in a Distorted Sinusoidal Signal Using Logistic Regression Model

Non-Zero Crossing Point Detection in a Distorted Sinusoidal Signal Using Logistic Regression Model

Contact Info

Product

Resources

About