This paper presents a new protection algorithm for power transformers. The new algorithm is based on Discrete Wavelet Transform (DWT) and (ANFIS) Inference System. The simulation of power transformer is done using BCTRAN subroutine of ATP software to simulate the internal faults cases. The protection algorithm using DWT and ANFIS is implemented MATLAB Simulink software. The new Algorithm is tested on 40/40/15 MVA, 220/70/11.5 KV power transformer. The proposed algorithm satisfies high degree of accuracy and faster response time.

Naturally-occurring radioactive material (NORM) is the term used to describe materials containing radionuclides that exist in the natural environment. The radionuclides of interest include long-lived radionuclides such as uranium-238 (238U), uranium-235 (235U) and thorium-232 (232Th) and their radioactive decay products (such as isotopes of radium, radon, polonium, bismuth and lead), and individual long-lived radionuclides such aspotassium-40 (40K), rubidium-87 (87Rb) and indium-115 (115In). The parent radionuclides have decay times (half-lives) which are comparable with or larger than the age of the earth, so they have always been present in the earth's crust and within the tissues of all living species. Where materials contain radionuclides from the naturally occurring decay chains (238U, 235U, 232Th), the large number of radionuclides in each chain, and the resulting large range of physical and chemical properties of the individual radionuclides, means that there can be a highly variable degree of secular equilibrium between the individual members of the chains. (1)INTRODUCTION: Technologically enhanced naturally occurring radioactive material (TE-NORM)) and (or) enhanced potential for exposure to naturally occurring radioactive materials in products, byproducts, residues and wastes. Such activities may include, for instance, the mining and processing of