A similarity based methodology for machine prognostics by using kernel two sample test-Reference-Cited by-同舟云学术

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A similarity based methodology for machine prognostics by using kernel two sample test

Published:2020-08 Issue: Volume:103 Page:112-121
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Cai Haoshu,Jia Xiaodong,Feng Jianshe,Li Wenzhe,Pahren Laura,Lee Jay

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference44 articles.

1. Assessment of data suitability for machine prognosis using maximum mean discrepancy;Jia;IEEE Trans Ind Electron,2018

2. A deviation based assessment methodology for multiple machine health patterns classification and fault detection;Jia;Mech Syst Signal Process,2018

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

4. Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression;Liu;Microelectron Reliab,2013

5. Statistical surface roughness checking procedure based on a cutting tool wear model;Yang;J Manuf Syst,1994

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