Adaptive weighted fault growth parameters: New statistic parameter health indicators for machine performance degradation assessment-Reference-Cited by-同舟云学术

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Adaptive weighted fault growth parameters: New statistic parameter health indicators for machine performance degradation assessment

Published:2023-07 Issue: Volume:216 Page:112830
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Chen Tao,Feng Tingting,Yu Yaoxiang,Guo Liang,Gao Hongli,Li Weilin

Publisher

Elsevier BV

Subject

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

Reference42 articles.

1. A generalized health indicator for performance degradation assessment of rolling element bearings based on graph spectrum reconstruction and spectrum characterization;Wang;Measurement.,2021

2. Investigations on generalized Hjorth’s parameters for machine performance degradation assessment;Yan;Mech. Syst. Signal Process.,2022

3. An Integrated Approach for Bearing Health Indicator and Stage Division Using Improved Gaussian Mixture Model and Confidence Value;He;IEEE Trans. Ind. Informatics.,2022

4. Machinery health prognostics: A systematic review from data acquisition to RUL prediction;Lei;Mech. Syst. Signal Process.,2018

5. Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators;Wang;IEEE Access.,2017

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1. GARCH family models oriented health indicators for bearing degradation monitoring;Measurement;2024-05

2. A deep learning based health index construction method with contrastive learning;Reliability Engineering & System Safety;2024-02

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