A fault early warning method for auxiliary equipment based on multivariate state estimation technique and sliding window similarity

Author:

Zhang Wei,Liu Jizhen,Gao Mingming,Pan Chenyang,Huusom Jakob K.

Funder

National Key Research and Development Program

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

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4. Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals;Ali;Appl. Acoust.,2015

5. Coal mine safety warning system based on principal component method and neural network;Meng,2017

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