The combination of acoustic emission and electrical potential monitoring methods holds promise for monitoring and warning of rock bursts due to its comprehensive reflection of the damage process. However, the response features during the creep failure process remain unclear. In this paper, a coal creep test was conducted using a combination of electric potential and acoustic emission monitoring. The response characteristics were analyzed, their multifractal characteristics were analyzed, and the joint response mechanism was explored. This research demonstrated a significant correlation among acoustic emission and electrical potential signals and creep deformation and failure. At the start of loading, a brief increase in both signals was observed. As deformation progressed, the signals became steady, and their intensity and fluctuation notably increased during accelerated creep failure. Quantitative analysis of acoustic emission count rates and electric potential intensity during creep processes revealed a quadratic relationship of acoustic emission count rates with stress and strain variations, in addition to an exponential correlation with mean electric potential intensity. Additionally, the statistical analysis of the multifractal characteristics before coal sample instability and failure revealed consistent trends in the characteristic values of Δα and Δf(α), with initial decrease followed by slight fluctuations, culminating in a sudden abnormal change preceding failure. Finally, leveraging the mechanisms of acoustic emission and electrification under load, this study discusses the multifractal characteristics of acoustic-electric signals and verifies their complementary roles in accurately predicting coal rock creep failure. These studies provide essential theoretical groundwork and references for improving dynamic disaster monitoring in coal mines.

声发射与电位监测方法相结合，能够全面反映破坏过程，为岩爆监测预警提供了广阔的前景。然而，蠕变破坏过程中的响应特征仍不清楚。在本文中，结合电势和声发射监测进行了煤蠕变试验。分析了响应特征，分析了它们的多重分形特征，并探讨了联合响应机制。这项研究证明了声发射和电势信号与蠕变变形和失效之间存在显着相关性。在加载开始时，观察到两个信号都有短暂的增加。随着变形的进行，信号变得稳定，并且在加速蠕变失效期间，信号的强度和波动显着增加。对蠕变过程中声发射计数率和电势强度的定量分析揭示了声发射计数率与应力和应变变化的二次关系，以及与平均电势强度的指数相关性。另外，对煤样失稳失效前的多重分形特征进行统计分析，发现Δα和Δf(α)的特征值趋势一致，先减小后小幅波动，最终在失效前突然发生异常变化。最后，利用荷载下的声发射和起电机制，讨论了声电信号的多重分形特征，并验证了它们在准确预测煤岩蠕变破坏方面的互补作用。 这些研究为完善煤矿动态灾害监测提供了重要的理论基础和参考。