Fault Diagnosis Algorithm of Chemical Process Based on Information Entropy
In modern chemical industries, significant economic losses and unnecessary energy consumption are constantly resulted from process failures. In order to eliminate them in time, the early identification of the root cause of abnormal process deviation is crucial. Generally, causal analysis based on pr...
Main Authors: | Cheng Ji, Xuebing Zhu, Fangyuan Ma, Jingde Wang, Wei Sun |
---|---|
Format: | Article |
Language: | English |
Published: |
AIDIC Servizi S.r.l.
2020-08-01
|
Series: | Chemical Engineering Transactions |
Online Access: | https://www.cetjournal.it/index.php/cet/article/view/11032 |
Similar Items
-
Real-Time Industrial Process Fault Diagnosis Based on Time Delayed Mutual Information Analysis
by: Cheng Ji, et al.
Published: (2021-06-01) -
Fault Diagnosis of a Wind Turbine Gearbox Based on Improved Variational Mode Algorithm and Information Entropy
by: Fan Zhang, et al.
Published: (2021-06-01) -
The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review
by: Yongbo Li, et al.
Published: (2018-01-01) -
Fault Detection and Diagnosis for Gas Turbines Based on a Kernelized Information Entropy Model
by: Weiying Wang, et al.
Published: (2014-01-01) -
Fault Diagnosis System of Induction Motors Based on Multiscale Entropy and Support Vector Machine with Mutual Information Algorithm
by: Shuang Pan, et al.
Published: (2016-01-01)