Publication details
Engine residual technical life estimation based on tribo data
| Authors | |
|---|---|
| Year of publication | 2014 |
| Type | Article in Periodical |
| Magazine / Source | Eksploatacja i Niezawodnosc – Maintenance and Reliability |
| MU Faculty or unit | |
| Citation | |
| Field | General mathematics |
| Keywords | Field data assessment; off-line diagnostics; first hitting time; residual life; maintenance optimization |
| Description | The aim of the paper is to estimate a system technical life. When estimating a residual technical life statistically, a big amount of tribo-diagnostic data is used. This data serves as the initial source of information. It includes the information about particles contained in oil which testify to oil condition as well as system condition. We focus on the particles which we consider to be interesting and valuable. This kind of information has good technical and analytical potential which has not been explored well yet. By modelling the occurrence of particles in oil we expect to find out when a more appropriate moment for performing preventive maintenance might come. The way of modelling and further estimation is based on the specific characteristics of a regression analysis, fuzzy logic and diffusion processes-namely the Wiener process. Following the modelling results we could, in fact, set the principles of "CBM-Condition Based Maintenance". However, the possibilities are much wider, since we can also plan in service operation and mission. All these steps result in inevitable cost saving which we would like to contribute to. |