A new unsupervised approach to fault detection and identification

Abstract

In this paper, a new fully unsupervised approach to fault detection and identification is proposed. It is based on a two-stage algorithm and starts with the recursive density estimation (RDE) in the feature space. The choice of the features is important and in the real world process that we consider these are control and error related variables. The basis… (More)
DOI: 10.1109/IJCNN.2014.6889973

Topics

6 Figures and Tables

Slides referencing similar topics