Fault Diagnosis by Multisensor Data: A Data-Driven Approach Based on Spectral Clustering and Pairwise Constraints

This paper deals with clustering based on feature selection of multisensor data in high-dimensional space. Spectral clustering algorithms are efficient tools in signal processing for grouping datasets sampled by multisensor systems for fault diagnosis. The effectiveness of spectral clustering stems...

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Bibliographic Details
Main Authors: Massimo Pacella, Gabriele Papadia
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
PCA
Online Access:https://www.mdpi.com/1424-8220/20/24/7065