Abstract
In a petroleum refining plant with a large number of high-pressure facilities, high-pressure gas leaks resulting from equipment failures may engender disasters. To prevent these disasters, technologies for the early detection of leak sound and the appropriate countermeasure are indispensable. We proposed chaos information criteria based on a trajectory parallel measure to analyze the dynamics of acoustic time series data, and reported effectiveness of chaos information criteria on high-pressure gas leak detection, at our previous work. This paper reports that the proof experiment is carried out at Idemitsu Kosan Chiba refinery. Nitrogen gas is artificially leaked at nine different places, we analyze acoustic time series data observed by eight microphones installed in different places. As a result, gas leak detection is possible regardless of the position of a microphone.
