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24 for all four channels. The network output also lists the uncertainties (spurious and missing leak signals) in the detection. The detection was possible even in data with S/N of -24 dB but with poor discrimination. 44 Table 11. 49 India (s) 1 88 - 2 11 Japan (s) Netherlands (s) Russia (s) 19 " N/A N/A 737 758 N/A 4 83 543 271-299 N/A 261 277 541 4 70 - 7 03 24-55 53 553 558 3 73 - 4 22 N/A 3 57 44 1 94 3 65 The spread of detection times are based on icsults usisng diffeient method and using data fiom different waveguides, N/A - Not Analysed, " Only used injection 5 to test seven diffeient signal piocessmg stutegies, " Typical Value Onset times deteimined visually except by the Russian team who used an on-line technique 451 (vi) Netherlands analysis The Netherlands participated for the first time in the CRP.

Examples and demonstrations of the analysis were provided as software on PC to the delegates at the third RCM in November 1992. (iv) Japanese analysis Analysis used the method of twice-squaring with band-pass filtering described previously. For the main analysis, the frequency band was restricted to 8-18 kHz for the incoming data, whilst after squaring the frequency band 12-36 kHz was chosen. Leak sounds were identified correctly in all cases down to -22 dB S/N ratio, although the detection margin was quite small in the latter cases.

A typical spurious trip rate required by an operator would be in the region of perhaps not more than once in ten years, and thus involve spurious trip probabilities of around 10~9 for most techniques. As was seen with the earlier boiling noise detection phase of the CRP, for some techniques this figure was below the resolution of the measurements, whilst for others (those relying on brief time samples of the data) the figure would be reached by a further stratagem, such as relying on "clusters" of events within a given time, a method that has been worked out in detail by both the Indian team with the r^/N,, technique, and by the UK team [14].

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