Abstract: To ensure the operational safety of gas insulated equipment in distribution networks and address the difficulty of rapidly detecting its internal pressure status under live conditions, this study develops an impact-based pressure detector. The detector generates standardized mechanical excitation driven by compressed gas, uses a triaxial displacement sensor to acquire the vibration response of the enclosure, and innovatively employs a support vector machine (SVM) algorithm to intelligently discriminate the extracted time frequency features, thereby achieving non-intrusive pressure status detection. Experimental results show that the detector successfully provides early warning of a gas leakage defect in field application. The detector is nondestructive, efficient, and intelligent, providing an innovative technical means for condition-based maintenance of gas-filled equipment.