封面图片

Process monitoring and fault detection in nonlinear chemical process based on multi-scale Kernel Fisher discriminant analysis

This paper presents a multi-scale kernel Fisher discriminant analysis (MSKFDA) algorithm combining Fisher discriminant analysis (FDA) and its nonlinear kernel variation with the wavelet analysis. This approach is proposed for investigating the potential integration of wavelets and multi-scale method...

Saved in:

书目详细资料
Main Authors:	Md Nor, Norazwan, Hussain, Mohd Azlan, Che Hassan, Che Rosmani
格式:	Conference or Workshop Item
语言:	English
出版:	2015
主题:	TP Chemical technology
在线阅读:	http://eprints.um.edu.my/14131/1/Process_Monitoring_and_Fault_Detection.pdf http://eprints.um.edu.my/14131/
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

A framework for data-driven fault detection and identification with multiscale kernel fisher discriminant analysis in chemical process systems / Norazwan Md Nor
由: Norazwan , Md Nor
出版: (2018)

A review of data-driven fault detection and diagnosis methods: applications in chemical process systems
由: Nor, Norazwan Md, et al.
出版: (2020)

Face recognition using integrated discrete cosine transform and kernel fisher discriminant analysis
由: Janahiraman T.V., et al.
出版: (2023)

Nonlinear Chemical Process Monitoring And Fault Detection Based On Modified Lstm Model
由: Zambri, Muhammad Ridzuan
出版: (2022)

Fault diagnosis of Tennessee Eastman process with multi-scale PCA and ANFIS
由: Lau, C.K., et al.
出版: (2013)

Multiscale framework for real-time process monitoring of nonlinear chemical process systems
由: Maulud, A.S., et al.
出版: (2020)

Multiscale framework for real-time process monitoring of nonlinear chemical process systems
由: Maulud, A.S., et al.
出版: (2020)

Multiscale framework for real-time process monitoring of nonlinear chemical process systems
由: Nawaz, Muhammad, et al.
出版: (2020)

Multiscale framework for real-time process monitoring of nonlinear chemical process systems
由: Nawaz, Muhammad, et al.
出版: (2020)

Utilization of classical scaling technique in sustaining fault detection performance in process monitoring
由: Mohd Yusri, Mohd Yunus, et al.
出版: (2020)

Fault detection and diagnosis framework using wavelet-based kernel principal component analysis for chemical process systems
由: Nawaz, Muhammad
出版: (2022)

Multivariate Statistical Process Monitoring On Structural Fault
由: Mohamad Saidi, Afifah
出版: (2015)

Economic impacts of artificial reefs on small-scale fishers in Peninsular Malaysia
由: Md. Nurul Islam, Gazi, et al.
出版: (2014)

Multiscale fault classification framework using kernel principal component analysis and k-nearest neighbors for chemical process system
由: Nawaz, Muhammad, et al.
出版: (2021)

Multiscale fault classification framework using kernel principal component analysis and k-nearest neighbors for chemical process system
由: Nawaz, Muhammad, et al.
出版: (2021)

Classification of Aedes Adults Mosquitoes in Two Distinct Groups Based on Fisher Linear Discriminant Analysis and FZOARO Techniques
由: Okwonu, Friday Zinzendoff, et al.
出版: (2012)

Malaysian Multi-Ethnic Discrimination Scale: preliminary factor and psychometric analysis
由: Chua, Bee Seok, et al.
出版: (2015)

Improved multivariate statistical process control for chemical process fault detection and diagnosis
由: Lam, Hon Loong
出版: (2004)

Fault detection and diagnosis using cubature kalman filter for nonlinear process systems
由: Ahmad Nazri, Muhammad Naguib, et al.
出版: (2016)

Fault detection and diagnosis using cubature Kalman filter for nonlinear process systems
由: Ahmad Nazri, M. N., et al.
出版: (2016)

A multi-scale dual-stage model for PV array fault detection, classification, and monitoring technique
由: Siti Nor Azlina, Mohd Ghazali, et al.
出版: (2022)

Solar Cell Fault Monitoring Using Image Processing Approach
由: Fiona Sharon Hilary
出版: (2023)

Utilizing classical scaling for fault identification based on continuous-based process
由: Mira Syahirah, Abd Wahit
出版: (2013)

FAULT DIAGNOSIS USING SYSTEM IDENTIFICATION FOR CHEMICAL PROCESS PLANT
由: KAMAL ABDALLA BON, ANAN
出版: (2009)

Fault detection and diagnosis for gas density monitoring using multivariate statistical process control
由: Norul Shahida, Che Din, et al.
出版: (2011)

Computational techniques in chemical process simulators
由: Hussain, Mohd Azlan
出版: (1993)

Simultaneous fault diagnosis based on multiple kernel support vector machine in nonlinear dynamic distillation column
由: Taqvi, S.A.A., et al.
出版: (2022)

Simultaneous fault diagnosis based on multiple kernel support vector machine in nonlinear dynamic distillation column
由: Taqvi, Syed Ali Ammar, et al.
出版: (2022)

Simultaneous fault diagnosis based on multiple kernel support vector machine in nonlinear dynamic distillation column
由: Taqvi, Syed Ali Ammar, et al.
出版: (2022)

Design of Multi Model Predictive Control for nonlinear process plant
由: Hung, N.T., et al.
出版: (2014)

Fault diagnosis by using multi-scale signed directed graph
由: Ali, H., et al.
出版: (2022)

Fault diagnosis by using multi-scale signed directed graph
由: Ali, Husnain, et al.
出版: (2022)

Fault diagnosis by using multi-scale signed directed graph
由: Ali, Husnain, et al.
出版: (2022)

Financial liberalization in ASEAN and the fisher hypothesis
由: Hook Law, Siong, et al.
出版: (1999)

Financial liberalization in ASEAN and the fisher hypothesis
由: Law, Siong Hook, et al.
出版: (1999)

Financial liberalisation in Asean and the fisher hypothesis
由: Law, Siong Hock, et al.
出版: (1999)

Economic impact of artificial reefs: a case study of small scale fishers in Terengganu, Peninsular Malaysia
由: Md. Nurul Islam, Gazi, et al.
出版: (2014)

Review of Multiscale Methods for Process Monitoring, with an Emphasis on Applications in Chemical Process Systems
由: Nawaz, M., et al.
出版: (2022)

Review of Multiscale Methods for Process Monitoring, with an Emphasis on Applications in Chemical Process Systems
由: Nawaz, M., et al.
出版: (2022)

Review of multiscale methods for process monitoring, with an emphasis on applications in chemical process systems
由: Nawaz, Muhammad, et al.
出版: (2022)