Abstract: As an important part of transmission lines, power steel pipe towers are widely used in power grid infrastructure construction and are one of the important power equipment items to ensure industry and people's livelihood. Due to the influence of accumulated liquid medium loads on the steel pipe tower, such as common accumulated water, electrochemical corrosion is more likely to occur, resulting in defects such as zinc coating thinning, local corrosion, inner wall thinning, and surface crushing, which damage the structural health of the steel pipe tower. For this reason, taking water accumulation as an example, research on circumferential Lamb wave-based ponding detection of steel pipe towers was conducted. A waterlogging detection method based on wavelet packet decomposition, principal component analysis, and singular value decomposition was proposed for steel pipe towers. Finally, the effects of different excitation frequency ranges, oblique probe incidence angles, and circumferential Lamb wave directivity on waterlogging detection were investigated, and the feasibility and effectiveness of the proposed method were verified through actual ponding detection experiments in steel pipe towers.