Residual life estimation of steam turbine rear bearings based on two-dimensional wiener process as a degradation

One-dimensional Wiener process, when employed as a degradation model, has its problems because it doesn't sufficiently consider the relevance of multiple degradation factors. To compensate, a two-dimensional Wiener process is created in this paper to fit the life degradation trend. The form of reliability analysis is obtained through the construction of a Fokker-Planck equation. Parameters of the two-dimensional Wiener process is then assessed according to characteristics of multiple normal distribution. The residual life of the trust bearing in a certain steam turbine is examined A) in a degradation model developed from a One-dimensional Wiener process based on objective Bayesian analysis; B) in a degradation model based on a two-dimensional Wiener process. By comparing results, a conclusion is made that the two-dimensional Wiener process, when employed as a degradation model in the estimation of residual life in steam turbine rear bearings, is more accurate, requires less measured data, and therefore is more helpful in engineering practice.