Search Results - (( using case method algorithm ) OR ( variable detection method algorithm ))
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1
Fault diagnostic algorithm for precut fractionation column
Published 2004“…The fault diagnostic algorithm is supported by the process history based method and developed by using Borland C++ Builder 6.0. …”
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Conference or Workshop Item -
2
DEVELOPMENT OF OE-BASED BROWN-FORSYTHE TEST ALGORITHM FOR CONTROL VALVE STICTION DETECTION
Published 2018“…Lastly, it is compared with other published stiction detection methods, where it performs as efficient and even better than other methods.…”
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Final Year Project Report / IMRAD -
3
Robust Estimation Methods And Outlier Detection In Mediation Models
Published 2010“…The Ordinary Least Squares (OLS) method is often use to estimate the parameters of the mediation model. …”
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Thesis -
4
Fault detection and diagnosis using correlation coefficients
Published 2005“…Shewhart Control Chart and Range Control Chart together with the developed correlation coefficients are used for fault detection and diagnosis. Results show that the method based on PCorrA (overall FDD efficiency = 100%) is more superior than the method based on NC (overall FDD efficiency = 67.82%) and the two analysis methods based on PCA (overall FDD efficiency = 67.82%).…”
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Thesis -
5
An Automated Method For Model-Plant Mismatch Detection And Correction In Process Plants Employing Model Predictive Control (MPC)
Published 2012“…Detection methods using partial correlation analysis as well as other methods have been developed, but these are qualitative methods that does not indicate the extent of the mismatch clearly and whether or not corrective action is necessary. …”
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Final Year Project -
6
A simple model-free butterfly shape-based detection (BSD) method integrated with deep learning CNN for valve stiction detection and quantification
Published 2020“…Control valve stiction is a long-standing problem within process industries. In most methods for shape-based stiction detection, they rely heavily on the traditional controller output (OP) and process variable (PV) plot (i.e. …”
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Article -
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Modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory
Published 2015“…Mathematical models of the plants are first derived through the description of the manifest behavior by elimination of the latent variables via a systematic algorithm. Next, the algorithms for obtaining controllers using pole placement techniques are developed based on specified nominal control laws to retain all the desirable trajectories in the plant behavior while rejecting the undesirable ones. …”
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Thesis -
8
Block multistep methods for solving first order retarded and neutral delay differential equations
Published 2015“…This thesis investigates the numerical solutions for solving first order retarded and neutral delay differential equations and its analysis in block multistep methods. The investigation begins by solving the retarded delay differential equations (RDDE) using 1-point multistep method and it then extended to the 2-point and 3-point block multistep methods. …”
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Thesis -
9
Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients
Published 2017“…The proposed method is based on a hybrid method integrating random walkers algorithm with integrated priors and particle swarm optimized spatial fuzzy c-means (FCM) algorithm with level set method and AdaBoost classifier. …”
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Thesis -
10
Panel regression method to analyse the stock market returns due to Covid-19 / Nur Mardziah Aziz Jaafar and Noraini Noordin
Published 2021“…This study aimed to determine the aftereffects of COVID-19 pandemic outbreaks on stock markets by measuring the correlation between market returns and daily growth of total new and death cases of COVID-19. Panel regression methods, namely pooled ordinary least square and fixed-effect methods were used in this study where the dependent variable is stock market returns and independent variables were i) daily growth new death cases COVID-19 ii) natural algorithm market capitalisation iii) Brent Crude Oil Price from January 2, 2020, until March 31, 2020. …”
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Article -
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Classification Of Cervical Cancer Stage From Pap Smear Tests
Published 2019“…Pap smear test is an efficient procedure in detecting cases of cervical cancer especially in early stages. …”
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Final Year Project -
12
A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines
Published 2017“…When a robust mathematical model of a process equipment is available, model-based diagnostic methods can be used to identify the occurrence of faults in a system. …”
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Article -
13
Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…A smart object tracking algorithm (SOTA) has been proposed for detecting and identifying the shoot on the conveyor belt. …”
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Thesis -
14
Error concealment technique using wavelet neural network for wireless transmitted digital images
Published 2012“…Next, a multi-directional interpolation (MDI) technique is proposed. The method is used to estimate the lost coefficients in the wavelet-domain. …”
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Thesis -
15
A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee
Published 2023“…The proposed deep learning model renders faster without the use of SMOTE. Any resampling algorithm is not a necessity in the case of this proposed algorithm. …”
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Thesis -
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Adaptive Control of Weld Penetration and Trajectory for Robotic GTAW
Published 1996“…The results showed that the misalignment of the progressive heat affected zone which is adjacent to the weld puddle can be detected and used for control of the weld trajectory. …”
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Thesis -
18
Vertical Fast Handoff Technique For Mobile IPv6 in Heterogeneous 4G Networks
Published 2009“…The performance of the proposed methods is discussed using analysis and comparison of simulation results with wellknown methods in the field. …”
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Thesis -
19
Wavelet based fault tolerant control of induction motor / Khalaf Salloum Gaeid
Published 2012“…The fault detection algorithm identifies the time and location of each fault. …”
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Thesis -
20
