A predictive maintenance system for multi-granularity faults based on AdaBelief-BP neural network and fuzzy decision making-Reference-Cited by-同舟云学术

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A predictive maintenance system for multi-granularity faults based on AdaBelief-BP neural network and fuzzy decision making

Published:2021-08 Issue: Volume:49 Page:101318
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Lv Yaqiong,Zhou Qianwen,Li Yifan,Li Weidong

Funder

Humanities and Social Science Fund of Ministry of Education of China

National Natural Science Foundation of China

Wuhan University of Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference31 articles.

1. Predictive maintenance optimization for aircraft redundant systems subjected to multiple wear profiles;Vianna;IEEE Syst. J.,2018

2. A new dynamic predictive maintenance framework using deep learning for failure prognostics;Nguyen;Reliab. Eng. Syst. Saf.,2019

3. Maintenance decision-making support for textile machines: a knowledge-based approach using fuzzy logic and vibration monitoring;Baban;IEEE Access,2019

4. An effective predictive maintenance framework for conveyor motors using dual time-series imaging and convolutional neural network in an industry 4.0 environment;Kiangala;IEEE Access,2020

5. A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin;Luo;Robot. Comput.-Integr. Manuf.,2020

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