State Detection Strategy for Wind Turbine Single Component Based on Proportional Risk of Boundary Intensity

Wind turbines, which are typically complex repairable mechanical systems, fail not only with respect to their own operating time, but also depending on the state covariates, in practical engineering. We synthesize the lifetime and condition covariates of the equipment and propose a new method for dynamically determining the condition detection interval, which can effectively reduce the cost of wind turbine operation and maintenance. Firstly, the system failure process is described based on the boundary intensity process and combined with the proportional risk model to establish the reliability model of the system. Secondly, a mathematical expression for the state deterioration threshold is given and the state detection interval is dynamically adjusted according to the system state changes with the constraint of fault risk. Finally, the proposed method is validated by a comparative modeling analysis, which provides a new approach for the determination of state detection intervals.