Valve stiction detection through improved pattern recognition using neural networks
A non-invasive method for detecting valves suffering from stiction using multi-layer feed-forward neural networks (NN) is proposed, via a simple class-based diagnosis. The proposed Stiction Detection Network (SDN) uses a transformation of PV (process variable) and OP (controller output) operational...
Saved in:
Main Authors: | Mohd Amiruddin, A.A.A., Zabiri, H., Jeremiah, S.S., Teh, W.K., Kamaruddin, B. |
---|---|
Format: | Article |
Published: |
Elsevier Ltd
2019
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067911670&doi=10.1016%2fj.conengprac.2019.06.008&partnerID=40&md5=452b38cf250195cc2f4f992801634202 http://eprints.utp.edu.my/24980/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Valve stiction detection through improved pattern recognition using neural networks
by: Amiruddin, Ahmad Azharuddin Azhari Mohd, et al.
Published: (2019) -
VALVE STICTION DETECTION THROUGH IMPROVED PATTERN RECOGNITION USING NEURAL NETWORKS
by: MOHD AMIRUDDIN, AHMAD AZHARUDDIN AZHARI
Published: (2019) -
VALVE STICTION DETECTION THROUGH IMPROVED PATTERN RECOGNITION USING NEURAL NETWORKS
by: MOHD AMIRUDDIN, AHMAD AZHARUDDIN AZHARI
Published: (2020) -
Generic framework for valve stiction detection and compensation with ANFIS-activated dual-mode MPC
by: Jeremiah, S.S., et al.
Published: (2019) -
A simple model-free butterfly shape-based detection (BSD) method integrated with deep learning CNN for valve stiction detection and quantification
by: Kamaruddin, B, et al.
Published: (2020)