Items where Author is "Tufa , L.D. "

Group by: Item Type | No Grouping
Number of items: 38.

Taqvi, S.A.A. and Zabiri, H. and Singh, S.K.M. and Tufa, L.D. and Naqvi, M. (2023) Investigation of control performance on an absorption/stripping system to remove CO2 achieving clean energy systems. Fuel, 347. ISSN 00162361

Taqvi, S.A. and Tufa, L.D. and Zabiri, H. and Maulud, A.S. and Uddin, F. (2022) Correction to: Fault detection in distillation column using NARX neural network (Neural Computing and Applications, (2020), 32, 8, (3503-3519), 10.1007/s00521-018-3658-z). Neural Computing and Applications, 34 (1). p. 815.

Taqvi, S.A. and Tufa, L.D. and Zabiri, H. and Maulud, A.S. and Uddin, F. (2022) Correction to: Fault detection in distillation column using NARX neural network (Neural Computing and Applications, (2020), 32, 8, (3503-3519), 10.1007/s00521-018-3658-z). Neural Computing and Applications, 34 (1). p. 815. ISSN 09410643

Taqvi, S.A.A. and Zabiri, H. and Uddin, F. and Naqvi, M. and Tufa, L.D. and Kazmi, M. and Rubab, S. and Naqvi, S.R. and Maulud, A.S. (2022) Simultaneous fault diagnosis based on multiple kernel support vector machine in nonlinear dynamic distillation column. Energy Science and Engineering, 10 (3). pp. 814-839.

Hussain, M. and Zabiri, H. and Tufa, L.D. and Yusup, S. and Ali, I. (2022) A kinetic study and thermal decomposition characteristics of palm kernel shell using model-fitting and model-free methods. Biofuels, 13 (1). pp. 105-116.

Hussain, M. and Zabiri, H. and Uddin, F. and Yusup, S. and Tufa, L.D. (2021) Pilot-scale biomass gasification system for hydrogen production from palm kernel shell (part A): steady-state simulation. Biomass Conversion and Biorefinery.

Hussain, M. and Zabiri, H. and Uddin, F. and Yusup, S. and Tufa, L.D. (2021) Pilot-scale biomass gasification system for hydrogen production from palm kernel shell (part B): dynamic and control studies. Biomass Conversion and Biorefinery.

Taqvi, S.A.A. and Zabiri, H. and Tufa, L.D. and Uddin, F. and Fatima, S.A. and Maulud, A.S. (2021) A Review on Data-Driven Learning Approaches for Fault Detection and Diagnosis in Chemical Processes. ChemBioEng Reviews, 8 (3). pp. 239-259.

Othman, N.A. and Tufa, L.D. and Zabiri, H. and Jalil, A.A.-M.M. and Rostani, K. (2020) Enhancing the Supersonic Gas Separation operating envelope through process control strategies of the feed conditioning plant for offshore CO2 removal from natural gas. International Journal of Greenhouse Gas Control, 94.

Maulud, A.S. and Nawaz, M. and Zabiri, H. and Suleman, H. and Tufa, L.D. (2020) Multiscale framework for real-time process monitoring of nonlinear chemical process systems. Industrial and Engineering Chemistry Research, 59 (41). pp. 18595-18606.

Maulud, A.S. and Nawaz, M. and Zabiri, H. and Suleman, H. and Tufa, L.D. (2020) Multiscale framework for real-time process monitoring of nonlinear chemical process systems. Industrial and Engineering Chemistry Research, 59 (41). pp. 18595-18606.

Taqvi, S.A.A. and Zabiri, H. and Tufa, L.D. and Uddin, F. and Fatima, S.A. and Maulud, A.S. (2020) Narx network based data-driven algorithm for detection of tray faults in nonlinear dynamic distillation column. Jurnal Teknologi, 82 (5). pp. 43-50.

Ammar Taqvi, S.A. and Zabiri, H. and Tufa, L.D. and Fatima, S.A. and Shah Maulud, A.H. (2019) Distillation Column: Review of Major Disturbances. In: UNSPECIFIED.

Othman, N.A. and Rostani, K. and Jalil, A.A.M. and Zabiri, H. and Tufa, L.D. (2019) Dynamic simulation and control structures of feed conditioning system for CO2 capture. Chemical Engineering Transactions, 72. pp. 301-306.

Okitsu, J. and Matsuo, T. and Yamamoto, H. and Zabiri, H.B. and Tufa, L.D. and Ramasamy, M. (2018) Cause analysis of representative troubles at distillation tower using discriminant analysis. IEEE International Conference on Industrial Engineering and Engineering Management, 2017-D. pp. 1901-1905.

Okitsu, J. and Matsuo, T. and Yamamoto, H. and Zabiri, H.B. and Tufa, L.D. and Ramasamy, M. (2018) Cause analysis of representative troubles at distillation tower using discriminant analysis. IEEE International Conference on Industrial Engineering and Engineering Management, 2017-D. pp. 1901-1905.

Tuan, T.T. and Tufa, L.D. and Mutalib, M.I.A. and Ramli, N.M. (2018) Optimal operation of a process by integrating dynamic economic optimization and model predictive control formulated with empirical model. Archives of Control Sciences, 28 (1). pp. 35-50.

Tuan, T.T. and Tufa, L.D. and Mutalib, M.I.A. and Ramli, N.M. (2018) Optimal operation of a process by integrating dynamic economic optimization and model predictive control formulated with empirical model. Archives of Control Sciences, 28 (1). pp. 35-50.

Uddin, F. and Tufa, L.D. and Shah Maulud, A. and Taqvi, S.A. (2018) System Behavior and Predictive Controller Performance Near the Azeotropic Region. Chemical Engineering and Technology, 41 (4). pp. 806-818.

Hussain, M. and Tufa, L.D. and Yusup, S. and Zabiri, H. (2018) A kinetic-based simulation model of palm kernel shell steam gasification in a circulating fluidized bed using Aspen Plus®: A case study. Biofuels. pp. 1-12.

Hussain, M. and Tufa, L.D. and Yusup, S. and Zabiri, H. (2018) A kinetic-based simulation model of palm kernel shell steam gasification in a circulating fluidized bed using Aspen Plus®: A case study. Biofuels. pp. 1-12.

Taqvi, S.A. and Tufa, L.D. and Zabiri, H. and Mahadzir, S. and Shah Maulud, A. and Uddin, F. (2017) Artificial neural network for anomalies detection in distillation column. Communications in Computer and Information Science, 751. pp. 302-311.

Hussain, M. and Tufa, L.D. and Yusup, S. and Zabiri, H. and Taqvi, S.A. (2017) Aspen plus® simulation studies of steam gasification in fluidized bed reactor for hydrogen production using palm kernel shell. Communications in Computer and Information Science, 751. pp. 628-641.

Hori, Y. and Yamamoto, H. and Suzuki, T. and Okitsu, J. and Nakamura, T. and Maeda, T. and Matsuo, T. and Bt Zabiri, H. and Tufa, L.D. and Marappagounder, R. (2017) Online anomaly detection of distillation tower system using adaptive resonance theory. Journal of Chemical Engineering of Japan, 50 (6Speci). pp. 430-438.

Isa, F. and Zabiri, H. and Ramasamy, M. and Tufa, L.D. and Shariff, A.M. and Saleh, S.F. (2017) Pressure modification index based on hydrodynamics and mass transfer effects for modeling of CO2 removal from natural gas via absorption at high pressures. International Journal of Greenhouse Gas Control, 56. pp. 173-186.

Negash, B.M. and Tufa, L.D. and Ramasamy, M. and Awang, M.B. (2017) System Identification Based Proxy Model of a Reservoir under Water Injection. Modelling and Simulation in Engineering, 2017.

Negash, B.M. and Tufa, L.D. and Marappagounder, R. and Awang, M.B. (2016) Conceptual framework for using system identification in reservoir production forecasting. In: UNSPECIFIED.

Taqvi, S.A. and Tufa, L.D. and Muhadizir, S. (2016) Optimization and Dynamics of Distillation Column Using Aspen Plus®. In: UNSPECIFIED.

Negash, B.M. and Tufa, L.D. and Marappagounder, R. and Awang, M.B. (2016) Performance prediction of a reservoir under gas injection, using output error model. Contemporary Engineering Sciences, 9 (29-32). pp. 1479-1489.

Negash, B.M. and Tufa, L.D. and Marappagounder, R. and Awang, M.B. (2016) Performance prediction of a reservoir under gas injection, using output error model. Contemporary Engineering Sciences, 9 (29-32). pp. 1479-1489.

Rahim, M. and Ramasamy, M. and Tufa, L.D. and Faisal, A. (2014) Isolation of interacting channels in decentralized control systems using instrumental variables method. Applied Mechanics and Materials, 625. pp. 435-438.

Rahim, M.A. and Ramasamy, M. and Tufa, L.D. and Faisal, A. (2014) Iterative closed-loop identification of MIMO systems using ARX-based Leaky Least Mean Square Algorithm. In: UNSPECIFIED.

Tufa, L.D. and Ramasamy, M. (2014) Robust and effective PID controller identification for delay dominant systems. Applied Mechanics and Materials, 625. pp. 478-481.

Zabiri, H. and Ariff, M. and Tufa, L.D. and Ramasamy, M. (2014) A comparison study between integrated OBFARX-NN and OBF-NN for modeling of nonlinear systems in extended regions of operation. Applied Mechanics and Materials, 625. pp. 382-385.

Tufa , L.D. and Ramasamy , Marappagounder and Patwardhan , S.C. and Shuhaimi , M. (2010) Development of Box-Jenkins type time series models by combining conventional and orthonormal basis filter approaches. [Citation Index Journal]

Tufa , L.D. and Ramasamy , Marappagounder and Patwardhan , S.C. and Mahadzir, Shuhaimi (2010) Development of Box–Jenkins type time series models by combining conventional and orthonormal basis filter approaches. Journal of Process Control , 20. pp. 108-120. ISSN 9591524

Tufa , L.D. and Ramasamy , Marappagounder and Mahadzir, Shuhaimi (2009) System Identification using orthonormal basis filter. In: 3rd International Conference on Chemical &Bioprocess Eng in conjunction with 23rd Symposium of Malaysian Chemical Engineers, 12 - 14 August 2009, Kota Kinabalu Sabah.

Tufa , L.D. and Ramasamy , Marappagounder and Shuhaimi , M. and Patwardhan , S.C. (2007) Control relevant system identification using orthonormal basis filters. In: 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007 , 25 November 2007 through 28 November 2007 , Kuala Lumpur .

This list was generated on Wed Nov 27 15:14:59 2024 +08.