Weighted time series fault diagnosis based on a stacked sparse autoencoder
Author:
Affiliation:
1. College of Electrical Engineering; Zhejiang University; Hangzhou 310027 Zhejiang China
2. School of Automation; Hangzhou Dianzi University; Hangzhou 310018 Zhejiang China
Funder
National Natural Science Foundation of China
Zhejiang Provincial Natural Science Foundation of China
Publisher
Wiley
Subject
Applied Mathematics,Analytical Chemistry
Reference47 articles.
1. From model, signal to knowledge: a data-driven perspective of fault detection and diagnosis;Dai;IEEE Trans Indus Inf,2013
2. Data-driven adaptive observer for fault diagnosis;Yin;Math Probl Eng,2012
3. A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process;Shen;J Process Control,2012
4. Statistical process monitoring: basics and beyond;Joe Qin;J Chemometr,2003
5. Artificial intelligence for monitoring and supervisory control of process systems;Uraikul;Eng Appl Artif Intel,2007
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