Purpose <p>This work investigates stochastic resonance (SR) behavior of a dielectric elastomer bistable system subjected to additive and multiplicative white noises, with the purpose of determining how parametric variations inluence SR characteristics and inter-well transitions under noise disturbances arising from system operation. </p> Methods <p>Firstly, two mutually independent Gaussian white noises are introduced todielectric elastomer model, explicitly addressing unavoidable operational noise disturbances. Subsequently, system's joint probability density function is derived through energy-dependent stochastic averaging method. Finally, the closed-form analytical solutions for signal-to-noise ratio(SNR) and mean irst passage time (MFPT) are obtained by employing steepest descent method coupled with two-state model theory.</p> Results <p>Through visualization analysis of the analytical expressions for SNR and MFPT, we obtained three key indings: the non-monotonic dependence of SNR curve provides deinitive evidence for SR emergence; increasing the moving part mass coeficient enhances SR behavior, while elevating the additive and multiplicative noise intensities suppresses the system's resonant output; and enhanced additive noise intensity facilitates inter-Q1Q2 well transitions of the system particles. Furthermore, the above conclusions have been numerically validated using the statistical complexity, ensuring their feasibility and accuracy.</p> Conclusion <p>This study demonstrates that, in a dielectric elastomer bistable system, SR can be induced and modulated by parameter adjustment, with additive noise playing a distinct role in promoting inter-well dynamics. This inding offers theoretical insights for optimizing such systems in energy harvesting or sensing applications where noise is unavoidable.</p>