Monitoring nonstationary and dynamic trends for practical process fault diagnosis-Reference-Cited by-同舟云学术

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Monitoring nonstationary and dynamic trends for practical process fault diagnosis

Published:2019-03 Issue: Volume:84 Page:139-158
ISSN:0967-0661
Container-title:Control Engineering Practice
language:en
Short-container-title:Control Engineering Practice

Author:

Lin Yuanling,Kruger Uwe,Gu Fengshou,Ball Andrew,Chen Qian

Funder

Priority Academic Program Development of Jiangsu Higher Education Institutions, China

Publisher

Elsevier BV

Subject

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

Reference68 articles.

1. A test of goodness of fit;Anderson;Journal of the American Statistical Association,1954

2. The glrt for statistical process control of autocorrelated processes;Apley;IIE Transactions,1999

3. Time series analysis: Forecasting and control;Box,2016

4. Monitoring nonlinear and non-gaussian processes using gaussian mixture model-based weighted kernel independent component analysis;Cai;IEEE Transactions on Neural Networks and Learning Systems,2017

5. Limiting distributions of least squares estimates of unstable autoregressive processes;Chan;Annuals of Statistics,1988

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