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Leak Location Data Example <br /> This is an example of the typical output from data-processing <br /> operations performed by the computer software. <br /> The computer divides the tank floor area into eight sectors which are <br /> related to the sensor positions as illustrated in Figure A-1. Each sector <br /> is further divided into 1320 subareas , each defined by a data point (10,560 <br /> points in the entire tank floor) . After the source of an individual <br /> transient acoustic "event" generated by a leak(s) has been located by <br /> ray-path analysis , the event is assigned to the sector and the data point <br /> closest to its computed position. Following statistical evaluation by the <br /> software, which process involves both the number of events accumulated at <br /> individual data points and the test-time history/energy levels, a leak is <br /> determined to exist (Figures A-2 and A-3) . Figure A-2 illustrates a <br /> c_ 1ster of eleven (11) leak-generated data points each of which has been <br /> ass.ened nrierous leak events ; i.e. independent locations. The cluster has <br /> an accumulated 108 events. Figure A-3 shows the single data point <br /> determined to be the most active, i.e. , the point nearest the actual hole. <br /> Figure A-4 is an example of the actual final map provided for the , ,. <br /> customer which details the location of the leak using rectangular <br /> coordinates which are related to the tank features such as manways and <br /> inlet/outlet pipes. <br /> i <br /> } <br />