In several reliability applications, there may not be a unique plausible scale in which to analyze failure. In this paper, I consider semiparametric methods of time scale selection. I propose a rank-based estimator of the time scale parameters that can readily handle censored observations. I illustrate how to assess the form of the time scale through generalized residuals. I also give ideas for nonparametric estimation of the time scale.