Jan 1, 2016 · In this paper, we propose application of exponential discriminant analysis (EDA) for fault detection and isolation.

Jan 1, 2016 · In this paper, we propose application of exponential discriminant analysis (EDA) for fault detection and isolation. The proposed technique not ...

In this paper, this issue is addressed by developing exponential discriminant analysis with multiple models (MEDA). The MEDA algorithm composed of three parts.

In this paper, we propose application of exponential discriminant analysis (EDA) for fault detection and isolation. The proposed technique not only overcomes ...

Discriminant analysis, as a popular supervised classification method, has been successfully used in fault diagnosis, which, however, involves a linear ...

Dec 11, 2017 · The sparse discriminant model is developed by introducing the penalty of lasso or elastic net into the exponential discriminant analysis ...

This paper develops the sparse variables selection based exponential local Fisher discriminant analysis (SELFDA) model, which can overcome the two limitations ...

Jun 15, 2017 · Two kinds of improved exponential discriminant analysis methods, local linear exponential discriminant analysis (LLEDA) and neighbourhood ...

In this paper, we propose application of exponential discriminant analysis (EDA) for fault detection and isolation. The proposed technique not only overcomes ...

A multimodel exponential discriminant analysis (MEDA) algorithm and its corresponding online probabilistic diagnosis are described to develop fuzzy model, ...