Reliability Modeling and Analysis of Elevator Brake Based on KDF Model Optimization

The elevator brais directly a crucial role in the elevator system, with its reliability directly related to operational safety. To address the issue of low precision in model selection during reliability modeling, a method based on Kernel Density Estimation (KDE) for model optimization is proposed. Based on the collected fault data of elevator brakes, the failure interval is fitted, and the reliability models with different distribution functions are established by parameter estimation. Through the Kolmogorov-Smirnov (K-S) test along with comparison methods for goodness of fit, while also introducing kernel density estimation for model optimization, the reliability model for the elevator brake was determined to be the Weibull distribution. Based on this model, the reliability index of the elevator brake is calculated, yielding the Mean Time Between Failure (MTBF) of 231.72 days.