A Review of Research in Manufacturing Prognostics

An adaptive ARX model to estimate the RUL of aluminum plates based on its crack growth

“…The literature review for this study compiled research developments found with "remaining useful life estimation" as search words on a Google Scholar exploration. This search retrieved at least 11 review papers in the last decade [2][3][4][5][6][7][8][9][10][11][12]. Therefore, the search to clarify the state of the art in CBM literature focused on studies developed after the last published review paper, and in research similar to the methodology presented here.…”

“…Estimation of RUL is a prognostics approach that aims at predicting the failure time considering the current equipment age and condition to estimate the time left before this failure occurs [7]. CBM literature considers a general classification of models for prognostics and RUL estimation [3,[5][6][7]9,11]: based on Physics' Laws (physical models); based on expert knowledge (fuzzy logic, expert systems); data-driven models (stochastic and statistical models); and Artificial Neural Networks (ANN) models. In [6] a classification for reliability-based models is presented, however, that is a classification that [7] includes in data-driven models.…”

Calculating restart states using reset transitions

“…Downtime due to errors is costly in flexible automated manufacturing systems [1], [2]. It is therefore desirable to perform a quick and correct recovery in order to resume the production after an error.…”

Observer design applied to prognosis of system

“…However, only few results are dedicated to the last kind. For state of the art introducing different approaches for this new concept the reader is referred to [9] and for a state of the art of prognosis definitions the reader is referred to [15]. This paper deals with prognosis problem.…”