Abstract:

With the rapid development of electric energy storage technology, the requirements for the operation safety and performance stability of energy storage equipment are increasing day by day. Voiceprint recognition, as a non-contact monitoring method, has shown great potential in the fault diagnosis of power storage equipment. This article delves into the research progress of data-driven applications in voiceprint recognition and monitoring diagnosis of power energy storage equipment. The article first analyzes the research progress of data-driven technology and common technology categories in the market; Then, based on data-driven analysis, the development of voiceprint recognition monitoring technology for energy storage equipment was analyzed. This includes techniques for collecting voiceprint samples from power energy storage equipment and processing voiceprint signals from power energy storage equipment. By relying on the final processed data, a recognition and diagnosis model can be established to achieve fault diagnosis.

Key words: fault diagnosis, energy storage equipment, data-driven