Cover Image

Analysis of multiscale process monitoring in industrial processes from a bibliometric perspective

Saved in:

Bibliographic Details
Main Authors:	Nawaz, Muhammad, Maulud, Abdulhalim Shah, Zabiri, Haslinda
Format:	Article
Published:	Elsevier 2022
Online Access:	http://scholars.utp.edu.my/id/eprint/34746/
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Analysis of multiscale process monitoring in industrial processes from a bibliometric perspective
by: Nawaz, Muhammad, et al.
Published: (2022)

Analysis of multiscale process monitoring in industrial processes from a bibliometric perspective
by: Nawaz, M., et al.
Published: (2022)

Online process monitoring using multiscale principal component analysis
by: Nawaz, Muhammad, et al.
Published: (2019)

Online process monitoring using multiscale principal component analysis
by: Nawaz, Muhammad, et al.
Published: (2019)

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

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

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

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

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

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

Multiscale principal component analysis-signed directed graph based process monitoring and fault diagnosis
by: Ali, Husnain, et al.
Published: (2022)

Multiscale principal component analysis-signed directed graph based process monitoring and fault diagnosis
by: Ali, Husnain, et al.
Published: (2022)

Improved process monitoring using the CUSUM and EWMA-based multiscale PCA fault detection framework
by: Nawaz, Muhammad, et al.
Published: (2021)

Improved process monitoring using the CUSUM and EWMA-based multiscale PCA fault detection framework
by: Nawaz, Muhammad, et al.
Published: (2021)

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

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

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

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

Carbon Capture and Utilization: A Bibliometric Analysis from 2007--2021
by: Nawaz, Muhammad, et al.
Published: (2022)

Multiscale Process Monitoring In A CSTR System Using Principal Component Analysis And Signed Directed Graph
by: Ali, Husnain
Published: (2022)

MULTIVARIATE PROCESS MONITORING OF STRUCTURAL CHANGES USING CUSUM AND EWMA-BASED MULTISCALE PCA
by: Ahmad Fahmi Lim, Aimi Fazira
Published: (2021)

Carbon Capture and Utilization: A Bibliometric Analysis from 2007â��2021
by: Nawaz, M., et al.
Published: (2022)

Fault detection and monitoring using multiscale PCA
by: Mirin, S. N. S., et al.
Published: (2013)

Improvements in Process Design, Simulation, and Control
by: Zabiri, Haslinda, et al.
Published: (2022)

Improvements in Process Design, Simulation, and Control
by: Zabiri, Haslinda, et al.
Published: (2022)

Model Analysis for the Implementation of a Fast Model Predictive Control Scheme on the Absorption/Stripping CO2 Capture Plants
by: Sultan, Tahir, et al.
Published: (2022)

Model Analysis for the Implementation of a Fast Model Predictive Control Scheme on the Absorption/Stripping CO2 Capture Plants
by: Sultan, Tahir, et al.
Published: (2022)

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

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

$Multiscale surface texture and fractal analysis of straight bevel gears finished by PECH and PECF process$

Multiscale surface texture and fractal analysis of straight bevel gears finished by PECH and PECF process
by: Talu, Stefan, et al.
Published: (2019)

Fault detection and monitoring using multiscale principal component analysis at a sewage treatment plant
by: Mirin, Siti Nur Suhaila, et al.
Published: (2014)

A review on data-driven learning approaches for fault detection and diagnosis in chemical processes
by: Taqvi, Syed Ali Ammar, et al.
Published: (2021)

A review on data-driven learning approaches for fault detection and diagnosis in chemical processes
by: Taqvi, Syed Ali Ammar, et al.
Published: (2021)

Performance evaluation of the fast model predictive control scheme on a CO2 capture plant through absorption/stripping system
by: Sultan, Tahir, et al.
Published: (2022)

Performance evaluation of the fast model predictive control scheme on a CO2 capture plant through absorption/stripping system
by: Sultan, Tahir, et al.
Published: (2022)

Locating shifts in the unconditional variance of time-dependent processes using multiscale wavelet periodogram
by: Md. Sabiruzzaman,, et al.
Published: (2014)

The hope and hype of neuromarketing: a bibliometric analysis
by: Siddique, Junaid, et al.
Published: (2023)

Intelligent Control of an Industrial Debutanizer Column
by: Fatima, Syeda Anmol, et al.
Published: (2022)

Intelligent Control of an Industrial Debutanizer Column
by: Fatima, Syeda Anmol, et al.
Published: (2022)

MULTISCALE SIMULATION FOR ULTRATHIN POLYSULFONE MEMBRANE
by: SERENE, LOCK SOW MUN
Published: (2019)