A Novel Ensemble Adaptive Sparse Bayesian Transfer Learning Machine for Nonlinear Large-Scale Process Monitoring

A Novel Ensemble Adaptive Sparse Bayesian Transfer Learning Machine for Nonlinear Large-Scale Process Monitoring

Process monitoring plays an important role in ensuring the safety and stable operation of equipment in a large-scale process. This paper proposes a novel data-driven process monitoring framework, termed the ensemble adaptive sparse Bayesian transfer learning machine (EAdspB-TLM), for nonlinear fault...

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Bibliographic Details
Main Authors: Hongchao Cheng, Yiqi Liu, Daoping Huang, Chong Xu, Jing Wu
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
process monitoring
fault diagnosis
nonlinear large-scale
sparse Bayesian
transfer learning
probabilistic relevance vector machine
Online Access:https://www.mdpi.com/1424-8220/20/21/6139

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