The integrity of piping systems is of critical importance across many industries due to the transportation of a wide range of fluids. The occurrence of leaks can disrupt operations, compromise safety, and significantly increase maintenance costs. In this study, the Acoustic Emission (AE) technique was employed as a non destructive, defect sensitive, and continuously monitorable approach to investigate leak behavior .A laboratory scale experimental setup was developed using pressurized water flowing through galvanized steel pipes to evaluate the acoustic characteristics of leakage under controlled conditions. Key parameters such as fluid pressure, leak orifice diameter, and pipe diameter were considered as independent variables. Acoustic Emission waveforms were collected and recorded using sensors installed at predetermined distances along the pipeline .Following noise reduction and the application of an appropriate band pass filter matched to the sensor bandwidth, time domain, statistical, and frequency domain features(ncluding amplitude, event counts, signal rise time, and signal energy)were extracted. These features enabled the discrimination of leak related acoustic signatures from background disturbances such as flow turbulence and mechanical vibrations .Graphical analyses conducted under six experimental conditions demonstrated that fluid pressure, pipe diameter, and leak orifice diameter systematically influence the acoustic response. Specifically, increasing the internal pressure or enlarging the leak aperture led to higher signal amplitudes and event rates. Furthermore, pipe diameter played a significant role in wave propagation characteristics and attenuation behavior .Overall, the findings validate Acoustic Emission as a rapid and reliable non destructive technique for structural health monitoring of pipelines and early leak detection. The integrated workflow combining feature based detection with sensitivity analysis of key physical parameters provides a practical foundation for real time (online) monitoring. The results further indicate that proper calibration with respect to pipe geometry and fluid properties, along with integration of AE systems into inspection and condition monitoring programs, is essential for reducing testing time and operational risk.