Abstarct: Monitoring the health of the structure to detect abnormality and damage in the electromechanical impedance method to prevent damage and failure is an important issue that has received attention in recent years. Since the electromechanical impedance method for structural health monitoring is a relatively simple and cheap method, in this thesis this method is used to detect abnormalities. Also, the method of stochastic differential equations is used in electromechanical impedance. In this study, a new method of stochastic differential equations is introduced for abnormality detection, which is resistant to different environmental conditions. One of the methods of extracting the features and information of the structures is to stimulate it with an actuator, in which piezoelectric sensors are used for stimulation and then its vibration response is collected. to be Then the thrust and diffusion terms are obtained without prior knowledge about the dynamic behavior of the structure, using stochastic differential equations. Deterministic components and random components are separated from each other according to the modeling done in this thesis. The slope of the deterministic component or drift coefficients has been used as a defect index. We also know that any structural change causes a change in the dynamic behavior of the structures and also causes a change in the slope of the deterministic components. These simulations show that the method performed in this thesis is better against temperature change than other methods in detecting damage and anomaly such as root mean square deviation and correlation coefficient deviation. It works stronger.