This chapter focuses on mechanical fault diagnosis, flow regime identification, and power grid state detection, presenting various feature extraction techniques and integrating machine learning approaches for pattern recognition. Practical case studies are employed to demonstrate the application of these methods to specific engineering challenges. Furthermore, a comparative analysis is conducted to evaluate the performance of alternative methods within the same category, thereby justifying the selection of each method in its respective context.