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View article: A fault diagnosis benchmark of technical systems with incomplete data — six solutions
A fault diagnosis benchmark of technical systems with incomplete data — six solutions Open
This paper presents a benchmark problem for fault diagnosis of an internal combustion engine that has been formulated and solved. The objective is to design a diagnosis system using and incomplete model information training data that only …
View article: Canonical Correlation Guided Deep Neural Network
Canonical Correlation Guided Deep Neural Network Open
Learning representations of two views of data such that the resulting representations are highly linearly correlated is appealing in machine learning. In this paper, we present a canonical correlation guided learning framework, which allow…