With the continuous development of high-voltage direct current (HVDC) transmission technology, the Conventional DC Converter Valve is becoming more and more important to maintain system stability. This paper proposes an integrated monitoring method based on acoustic signal processing and multimodal timing analysis. The DC maximum current time series feature model is constructed to extract the maximum current eigenvolume and other characteristics. The acoustic signal of the converter valve is collected by combining the homogeneous electrode acoustic detection device and digitized. The TimesNet time series analysis model is introduced to convert the two-dimensional depth characteristics of the time series to realize the accurate positioning of the commutator valve phase change abnormality and vibration noise. Research shows that when the power load is 400MW, the frequency of the converter valve sound signal is concentrated within 3kHz, and the frequency increases with the increase of power. During the monitoring process, the output current of the converter valve fluctuates abnormally in 2-3s, while the voltage fluctuates abnormally in that time. The voltage ripple adjusted according to the monitoring results re-maintained the coherent state.
