MLPC-CNN: A multi-sensor vibration signal fault diagnosis method under less computing resources-Reference-Cited by-同舟云学术

MLPC-CNN: A multi-sensor vibration signal fault diagnosis method under less computing resources

Published:2022-01 Issue: Volume:188 Page:110407
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Zhang Yalun,He Lin,Cheng Guo

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference36 articles.

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3. Weighted belief function of sensor data fusion in engine fault diagnosis;Zhang;Soft. Comput.,2020

4. A Novel Evidence Theory and Fuzzy Preference Approach-Based Multi-Sensor Data Fusion Technique for Fault Diagnosis;Xiao;Sensors,2017

5. A robust method for detection and classification of permanent magnet synchronous motor faults: Deep autoencoders and data fusion approach;Senanayaka;J. Phys. Conf. Ser.,2018

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