Thermal drift is a significant problem in measurement technologies that leads to nonlinear behavior in sensors

and other measurement technologies. This research paper investigates the thermal drift problem and their remedial

measures in a current sensor implemented in distribution systems and industries. The conventional corrective actions

involve signal conditioning circuits, which are influenced by ambient temperature change. In the proposed method,

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

[1] SOUMYARANJAN RANASINGH, "Python supplymentary files", IEEE Dataport, 2021. [Online]. Available: Accessed: Dec. 02, 2021.
doi = {10.21227/0ada-9561},
url = {},
publisher = {IEEE Dataport},
title = {Python supplymentary files},
year = {2021} }
T1 - Python supplymentary files
PY - 2021
PB - IEEE Dataport
UR - 10.21227/0ada-9561
ER -
SOUMYARANJAN RANASINGH. (2021). Python supplymentary files. IEEE Dataport.
SOUMYARANJAN RANASINGH, 2021. Python supplymentary files. Available at:
SOUMYARANJAN RANASINGH. (2021). "Python supplymentary files." Web.
1. SOUMYARANJAN RANASINGH. Python supplymentary files [Internet]. IEEE Dataport; 2021. Available from :
SOUMYARANJAN RANASINGH. "Python supplymentary files." doi: 10.21227/0ada-9561