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A novel fault diagnosis method based on multi-level information fusion and hierarchical adaptive convolutional neural networks for centrifugal blowers

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Affiliation of Author(s):机械与运载工程学院

Journal:MEASUREMENT

Key Words:Engineering, Multidisciplinary; Instruments & Instrumentation

First Author:张友

Correspondence Author:李聪波

Co-author:张友(学),王睿(学),潘建(学)

Indexed by:Journal paper

Document Code:227001

Volume:185

Page Number:109970

ISSN No.:0263-2241

Date of Publication:2021-01-01

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Next One:An Integrated Solution to Minimize the Energy Consumption of a Resource-Constrained Machining System

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