Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
In a petroleum refining plant with a large number of high-pressure facilities, high-pressure gas leaks resulting from equipment failures can engender disasters. By electro-chemical gas leak detectors, however, monitoring of gas concentration can identify leaks only long after they have accrued, sometimes 10 minutes or more. For immediate detection of high-pressure gas leak, we have developed a gas leak detection system based on the acoustic diagnosis. This paper shows; (1) it is examined chaotic behavior of background noise and leak sounds with various mixing ratios, (2) the CIC and the method of gas leak detection is described, (3) the actual results of our proof experiment for gas leak detection in Idemitsu Chiba Refinery, (4) it result determinism of residual data obtained by inverse filter is estimated using the CIC, and (5) the usefulness of CIC estimated the row data and residual data is discussed.
