A Hybrid Process Monitoring and Fault Diagnosis Approach for Chemical Plants
Given their potentially enormous risk, process monitoring and fault diagnosis for chemical plants have recently been the focus of many studies. Based on hazard and operability (HAZOP) analysis, kernel principal component analysis (KPCA), wavelet neural network (WNN), and fault tree analysis (FTA), a...
Saved in:
Main Authors: | Lijie Guo, Jianxin Kang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2015-01-01
|
Series: | International Journal of Chemical Engineering |
Online Access: | http://dx.doi.org/10.1155/2015/864782 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Approach to Fault Diagnosis for Gearbox Based on Image Processing
by: Yang Wang, et al.
Published: (2016-01-01) -
Structural Dynamical Monitoring and Fault Diagnosis
by: Jiawei Xiang, et al.
Published: (2015-01-01) -
Chemical Process Fault Diagnosis Based on Improved ResNet Fusing CBAM and SPP
by: Xiaochen Yan, et al.
Published: (2023-01-01) -
Aluminium Process Fault Detection and Diagnosis
by: Nazatul Aini Abd Majid, et al.
Published: (2015-01-01) -
Recent advances in journal bearings: wear fault diagnostics, condition monitoring and fault diagnosis methodologies
by: Nazik Jebur, et al.
Published: (2025-01-01)