Nonlinear weight learning model for incipient fault detection and degradation modelling and its interpretability for fault diagnosis

Xiaochuan Li; Shengbing Zhen; Lanlin Yu; Zhe Yang; Chuan Li; David Mba

doi:10.1016/j.ymssp.2024.111256

Nonlinear weight learning model for incipient fault detection and degradation modelling and its interpretability for fault diagnosis

Xiaochuan Li, Shengbing Zhen, Lanlin Yu, Zhe Yang^*, Chuan Li, David Mba

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Citation (SciVal)

Original language	English
Article number	111256
Journal	Mechanical Systems and Signal Processing
Volume	212
DOIs	https://doi.org/10.1016/j.ymssp.2024.111256
Publication status	Published (VoR) - 15 Apr 2024

Funding

This project was financially supported by Hefei University of Technology (Grant number: 13020-03712022023 ) and the Natural Science Foundation of Anhui Province (Grant number: 2308085QE162 ).

Funders	Funder number
Natural Science Foundation of Anhui Province	2308085QE162
Hefei University of Technology	13020-03712022023

Keywords

Health indicators
Incipient fault detection
Machine health monitoring
Nonlinear weight learning
Quadratic programming

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10.1016/j.ymssp.2024.111256

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title = "Nonlinear weight learning model for incipient fault detection and degradation modelling and its interpretability for fault diagnosis",

keywords = "Health indicators, Incipient fault detection, Machine health monitoring, Nonlinear weight learning, Quadratic programming",

author = "Xiaochuan Li and Shengbing Zhen and Lanlin Yu and Zhe Yang and Chuan Li and David Mba",

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year = "2024",

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doi = "10.1016/j.ymssp.2024.111256",

language = "English",

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T1 - Nonlinear weight learning model for incipient fault detection and degradation modelling and its interpretability for fault diagnosis

AU - Li, Xiaochuan

AU - Zhen, Shengbing

AU - Yu, Lanlin

AU - Yang, Zhe

AU - Li, Chuan

AU - Mba, David

PY - 2024/4/15

Y1 - 2024/4/15

KW - Health indicators

KW - Incipient fault detection

KW - Machine health monitoring

KW - Nonlinear weight learning

KW - Quadratic programming

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U2 - 10.1016/j.ymssp.2024.111256

DO - 10.1016/j.ymssp.2024.111256

M3 - Article

AN - SCOPUS:85186478425

SN - 0888-3270

VL - 212

JO - Mechanical Systems and Signal Processing

JF - Mechanical Systems and Signal Processing

M1 - 111256

ER -

Nonlinear weight learning model for incipient fault detection and degradation modelling and its interpretability for fault diagnosis

Funding

Keywords

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