Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier

BSJ Costa, PP Angelov, LA Guedes - Neurocomputing, 2015 - Elsevier
In this paper, we propose a two-stage algorithm for real-time fault detection and identification
of industrial plants. Our proposal is based on the analysis of selected features using …
被引用次数：136 相关文章

Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier

BSJ Costa, PP Angelov, LA Guedes - Neurocomputing, 2015 - dl.acm.org
In this paper, we propose a two-stage algorithm for real-time fault detection and identification
of industrial plants. Our proposal is based on the analysis of selected features using …
[PDF] researchgate.net

[PDF][PDF] Fully Unsupervised Fault Detection and Identification Based on Recursive Density Estimation and Self-evolving Cloud-based Classifier

BSJ Costa, PP Angelov, LA Guedes - researchgate.net
In this paper, we propose a two-stage algorithm for real-time fault detection and identification
of industrial plants. Our proposal is based on the analysis of selected features using …

Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier

BSJ Costa, PP Angelov, LA Guedes - Neurocomputing, 2015 - infona.pl
In this paper, we propose a two-stage algorithm for real-time fault detection and identification
of industrial plants. Our proposal is based on the analysis of selected features using …