Work

Process Data Analytics via Probabilistic Latent Variable Models: A Tutorial Review

Year: 2018

Type: article

Source: Industrial & Engineering Chemistry Research

DOI: 10.1021/acs.iecr.8b02913

Author: Zhiqiang Ge

Institutions: State Key Laboratory of Industrial Control Technology, Zhejiang University

Language: English

Topic: Fault Detection and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, Natural Science Foundation of Zhejiang Province

Awards: G259539444, G3456980793, G4554164857, G7875806344

OpenAlex ID: W2889017122

FWCI: 23.22

Cites: 115

Cited by: 219

Related to: 10