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Series fault arc has the characteristics of strong concealment and large heat release in short time. It is difficult for overcurrent circuit breakers to detect or take action in time, which is easy to cause electrical fire and cause significant losses and casualties. Therefore, it is of great significance to realize the rapid and reliable identification and monitoring of series fault arc in buildings. According to the line load type, the operation data of high frequency electrical parameters of electrical lines are analyzed, and the CEEMD combined with the characteristics of series arc fault is used to realize the identification of series arc fault of electrical lines. Compared with the recognition results of GLGCO-SVM and TDV-CNN, the recognition accuracy reaches 94.8 % and above.