Section Article

Application of Soft Computing and Fourier Transform in Industrial Settings: New Insights into the Utilisation of These Two Technologies
Author(s): Prince Kumar

Abstract
The integration of soft computing techniques and Fourier transform-based signal processing has become increasingly important in modern industrial environments where complex nonlinear and dynamic processes require sophisticated analytical tools. Soft computing methods—including fuzzy logic genetic algorithms and neural networks—offer robust capabilities for handling uncertainty imprecision and adaptive control in industrial applications. Fourier transform provides an analytical framework for frequency domain analysis enabling the detection decomposition and interpretation of complex signals encountered in manufacturing process monitoring fault diagnosis and quality control.