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The last decades have witnessed the development of degradation modeling based remaining useful life (RUL) estimation, especially for Wiener process based degradation models. However, most researchers paid their attention to the drift coefficient representing the degradation rate, while much fewer eyes focus on the diffusion coefficient. The under consideration of diffusion process may cause bias in...
Degradation-modeling based prognostic approach has been proved as an effective alternative to the conventional lifetime-data dependent residual life prediction method, and thus draw much attention of both scholars and engineers in the field of reliability. The degradation process of a system is the result of interaction between its inner states and working environments. To provide a reasonable reference...
Proactive maintenance and spare parts ordering are two fundamental components for prognostics and health management of equipment. To achieve timely proactive maintenance and spare parts ordering, it is necessary to forecast the demand of spare parts accurately according to the equipment's operating state. To do so, a degradation modeling based method is proposed to forecast the demand of spare parts...
In this paper, we develop an adaptive Wiener-maximum-process-based model for RUL estimation. The proposed method differs from other Wiener process-based methods in two essential aspects. First, we use the Wiener-maximum-process, defined as the maximum value of the evolving path of Wiener process to the current time, to model the degradation process. This can effectively overcome the weakness in RUL...
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