Determining Water Pipe Leakage Using an RP-CNN Model to Identify the Causes and Improve Poor-Accuracy Cases

Abstract

This research aims to determine and improve accuracy of a water leakage detection model proposed in preliminary research. The poor results for water leakage sound (recall) and background noise (specificity) were clarified using countermeasures in accordance with each condition. Additionally, frequency amplification in the range of 500–600 Hz, attenuation of weak components, and a band-stop filter were used to remove the 50 Hz component and harmonics. Pre-processing was carried out in the form of amplification with weak noise removed using a band-stop filter. The results showed that application of the proposed model improved detection accuracy by 80% at observation points that initially had poor accuracy. Thus, the proposed method was effective in improving performance of the RP-CNN model in detecting leakage.

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