Early Detection and Identification of Damage in In-Service Waterworks Pipelines Based on Frequency-Domain Kurtosis and Time-Shift Coherence

Buried pipelines, such as waterworks are critical for transmitting essential resources and energy in modern cities, but the risk of pipeline failure, especially due to third-party interference, is a major concern. While various studies have focused on leak detection research preventing impact damage limited. To address this issue, study proposes novel algorithm that utilizes similarity measurements compares it theoretically existing leak-detection methods. The proposed frequency-domain kurtosis determine frequency band which signals concentrated, along with time-shift coherence function measure signals. application source location using filtered enables accurate interference. aims ensure safety prevent failures buried pipelines. verify feasibility algorithm, an excavation experiment backhoe was conducted in-service diameter 2200 mm burial depth 3 m. This confirmed effectiveness pipelines demonstrated its practical applicability field. also validated algorithm’s ability detect interference at points.