This　study　explores　the　effect　of　strain　on　Magneto　Acoustic　Emission　(MAE)　characteristics　in　Q235　steel　plates　under　various　excitation　frequencies　and　voltages.　Using　Maximal　Overlap　Discrete　Wavelet　Transform　(MODWT),　we　processed　envelope　energy　signals　derived　from　MAE　signals　generated　from　samples　subjected　to　incremental　tensile　forces　revealing　critical　variations　in　features　extracted　from　AC　and　DC　components　such　as　RMS,　mean　bias　and　energy　distribution.　The　results　demonstrate　the　significant　impact　of　strain　on　MAE　signal　characteristics,　particularly　under　higher　excitation　frequencies　and　voltages,　which　enhances　the　detection　of　subtle　plastic　deformations.　Our　approach　provides　a　refined　methodology　for　enhancing　MAE-based　Non-Destructive　Testing　(NDT)　practices,　crucial　for　the　reliable　assessment　of　material　integrity　in　engineering　applications.