Empirical mode decomposition (EMD) as Hilbert-Huang transform (HHT) is an important part of, in order to overcome its modal aliasing in harmonic detection, endpoint effect, the white noise is proposed adaptive complete integration of empirical mode decomposition (CEEMDAN) and Hilbert transform (HT) combined with the new method of harmonic detection.This method firstly compares and analyzes EMD, EEMD and CEEMDAN algorithm in theory, and studies the characteristics of CEEMDAN algorithm.Then, CEEMDAN algorithm is used to decompose the original signal to obtain the intrinsic modal function (IMF).Finally, the HT algorithm is used to analyze the IMF component of each order, and the instantaneous amplitude-frequency information contained in the harmonic is detected.The simulation results show that compared with the signal processing capability of HHT algorithm, the proposed method overcomes the disadvantages of EMD algorithm in harmonic detection and improves the signal decomposition accuracy.