An experimental analysis of subcooled leakage flow through slits from high pressure high temperature pipelines

Optimizing Signal De-Noising Algorithm for Acoustic Emission Leakage of Wavelet

“…It has long been a technical problem to identify the weak defect signal from the background noise. The impulse interference noise caused by occasional factors can be wiped off easily through amplitude limiting filter method, median filter method and arithmetic method [1][2][3][4][5]. But for complicated and special testing materials, it is difficult to detect defect for the randomly distributed background noise which is generated internally, especially in some noise material application such as carbon fiber composite, welded joint and laminate material.…”

Online Leakage Detection Test of High-pressure Heater at the Power Plant

“…The heater operates under high pressure and at high temperatures, thus requires sophisticated detection technology. In the past years, there have been a number of methods for detecting leakage, including pressure gradient method, negative pressure wave method, flow balance method, acoustic method, system identification method, neural network method, etc., [1][2][3][4][5][6]. Among all the methods, the acoustic emission detection is fundamentally different from all others because it is a dynamic nondestructive detecting technology [7][8][9][10].…”

Simulation Experiment on Acoustic Emission of Pipeline Leakage

“…But the gas leak at the leaking spot would excite the stress wave that could describe the structure of the material. So, it is a generalized acoustic emission phenomenon [2][3][4][5][6].…”