Outdated　testing　methods　hinder　the　success　rate　of　carbonized　cable　preparation　in　low-voltage　arc　fault　tests,　leading　to　incomplete　tests　and　high　failure　rates.　To　address　this　issue,　we　finely　categorized　the　preparation　results　of　carbonized　cable　specimens　by　analyzing　the　experimental　phenomena　during　the　carbonization　process　and　assessing　the　impact　of　high-voltage　energization　time　on　the　outcomes,　presenting　a　process　control　strategy　aimed　at　optimizing　the　preparation　results　of　carbonized　cable　specimens.　This　method　utilizes　three　periodic　moving　algorithms　(root-mean-square,　average,　and　shoulder　percentage)　to　classify　the　cable　specimens　into　four　preparation　categories:　open-circuit　carbonization,　under-carbonization,　short-circuit　carbonization,　and　successful　carbonization.　The　high-voltage　energization　time　during　carbonization　or　secondary　carbonization　was　adjusted　to　optimize　the　preparation　of　the　carbonized　cables　by　considering　different　discrimination　outcomes.　Finally,　the　proposed　method　was　tested　on　a　purpose-built　carbonized　cable　experimental　platform,　which　confirmed　its　effectiveness　in　differentiating　the　preparation　outcomes　of　the　carbonized　cable　specimens　and　improving　the　success　rate　of　the　carbonized　cable　preparation.　The　proposed　method　has　significant　potential　for　application　in　low-voltage　arc　fault　test　systems.