Application of fuzzy logic in drying: A review

This article presents a comprehensive review of almost all existing applications of fuzzy logic in drying technology to solve problems of nonlinear modeling, simulation, pattern recognition, cluste...

[1]  Feng Zhao,et al.  Simultaneous control of drying temperature and superheat for a closed-loop heat pump dryer , 2016 .

[2]  Kai Wang,et al.  A recurrent self-evolving fuzzy neural network predictive control for microwave drying process , 2016 .

[3]  Arun S. Mujumdar,et al.  Recent Developments in Smart Drying Technology , 2015 .

[4]  V. Vasquez-Villalobos,et al.  Moisture prediction of sweet potato-quinoa-kiwicha flakes dried by rotary drum dryer using artificial intelligence , 2018 .

[5]  D. Fissore On the Design of a Fuzzy Logic-Based Control System for Freeze-Drying Processes. , 2016, Journal of pharmaceutical sciences.

[6]  Hazlina Selamat,et al.  Intelligent Modeling and Control of a Conveyor Belt Grain Dryer Using a Simplified Type 2 Neuro-Fuzzy Controller , 2015 .

[7]  Mustafa Türker,et al.  Adaptive Neuro-Fuzzy-Based Control of Drying of Baker's Yeast in Batch Fluidized Bed , 2010 .

[8]  J. Koskinen,et al.  Fuzzy modelling of a pilot plant rotary dryer , 1998 .

[9]  Farah Saleena Taip,et al.  Intelligent control of grain drying process using fuzzy logic controller , 2010 .

[10]  Qing Sun,et al.  Recent developments of artificial intelligence in drying of fresh food: A review , 2019, Critical reviews in food science and nutrition.

[11]  V. Davidson,et al.  Quality-based control for drying food materials , 1996, Proceedings of North American Fuzzy Information Processing.

[12]  Kauko Leiviskä,et al.  SELF-TUNING FUZZY CONTROL OF A ROTARY DRYER , 2002 .

[13]  Bin Qin,et al.  Rotary drying process modeling and online compensation , 2015 .

[14]  C. G. J. Baker,et al.  DEVELOPMENT OF A FUZZY EXPERT SYSTEM FOR THE SELECTION OF BATCH DRYERS FOR FOODSTUFFS , 2000 .

[15]  Gilles Trystram,et al.  APPLICATION OF FUZZY RULES-BASED MODELS TO PREDICTION OF QUALITY DEGRADATION OF RICE AND MAIZE DURING HOT AIR DRYING , 1998 .

[16]  Jose L. Salmeron,et al.  Learning FCMs with multi-local and balanced memetic algorithms for forecasting industrial drying processes , 2017, Neurocomputing.

[17]  Kauko Leiviskä,et al.  Data-driven fuzzy modelling of a rotary dryer , 2003, Int. J. Syst. Sci..

[18]  Qin Zhang,et al.  FUZZY LOGIC CONTROL FOR A CONTINUOUS CROSSFLOW GRAIN DRYER , 1993 .

[19]  John F. Pietranski,et al.  Expert Fuzzy Process Control of a Rotary Dryer , 1987, 1987 American Control Conference.

[20]  George Wang,et al.  Simulations and Experiments on Intelligent Control of a Wood-Drying Kiln , 2000 .

[21]  Jili Zhang,et al.  Fuzzy Control of Mixed-Flow Grain Dryer , 2003 .

[22]  K A Abbas,et al.  Non-linear modelling and control of a conveyor-belt grain dryer utilizing neuro-fuzzy systems , 2011 .

[23]  Seung-Chul Yoon,et al.  Electrical Impedance Spectroscopy for Quality Assessment of Meat and Fish: A Review on Basic Principles, Measurement Methods, and Recent Advances , 2017 .

[24]  Orestes Llanes-Santiago,et al.  Drying process of tobacco leaves by using a fuzzy controller , 2005, Fuzzy Sets Syst..

[25]  Alejandro Reyes,et al.  Dehydration of Agro Products in a Hybrid Solar Dryer Controlled through a Fuzzy Logic System , 2014 .

[26]  Leena Yliniemi,et al.  Development of a self-tuning fuzzy logic controller for a rotary dryer , 1999 .

[27]  Zhenfeng Li,et al.  Control of Microwave Drying Process Through Aroma Monitoring , 2010 .

[28]  T. Jurendić Determination of the controlling resistance to moisture transfer during drying , 2012 .

[29]  Lili Zhang,et al.  The Temperature Fuzzy Control System of Barleythe Malt Drying Based on Microcontroller , 2008, CCTA.

[30]  M. B. Moghimi,et al.  The effect of ultrasound pre-treatment on quality, drying, and thermodynamic attributes of almond kernel under convective dryer using ANNs and ANFIS network , 2018, Journal of Food Process Engineering.

[31]  Taha Rababah,et al.  Application of Hybrid Neural Fuzzy System (ANFIS) in Food Processing and Technology , 2016, Food Engineering Reviews.

[32]  Farshad Arvin,et al.  Utilization of fuzzy controller for laboratory scale convective fruit dryers , 2011 .

[33]  B. Postlethwaite,et al.  The development of a relational fuzzy model based controller for an industrial process , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[34]  Thananchai Leephakpreeda,et al.  Fluidized bed paddy drying in optimal conditions via adaptive fuzzy logic control , 2006 .

[35]  Pere Gou,et al.  Fuzzy Control System for a Meat Drying Process , 2004 .

[36]  Miha Mraz,et al.  Fuzzy cellular automata: from theory to applications , 2000, Proceedings 12th IEEE Internationals Conference on Tools with Artificial Intelligence. ICTAI 2000.

[37]  Lei Wang,et al.  A Model Predictive Control of a Grain Dryer with Four Stages Based on Recurrent Fuzzy Neural Network , 2007, ISNN.

[38]  C. G. J. Baker,et al.  A Fuzzy Expert System for the Selection of Spray-Drying Equipment , 2004 .

[39]  Constantinos I. Siettos,et al.  Fuzzy Control Of A Fluidized Bed Dryer , 1997 .

[40]  Normand Thérien,et al.  Fuzzy Control of Fabrics Drying on an Induction Heated Rotating Cylinder: Experimental Results , 2004, ICINCO.

[41]  Ali Azadeh,et al.  Predictive control of drying process using an adaptive neuro-fuzzy and partial least squares approach , 2012 .

[42]  Arun S. Mujumdar,et al.  Modeling Intermittent Drying Using an Adaptive Neuro-Fuzzy Inference System , 2005 .

[43]  Andreas Bück,et al.  Intelligent Control in Drying , 2018 .

[44]  Wei Wu,et al.  Color prediction of mushroom slices during drying using Bayesian extreme learning machine , 2020, Drying Technology.

[45]  Yousef Abbaspour-Gilandeh,et al.  ANFIS and ANNs model for prediction of moisture diffusivity and specific energy consumption potato, garlic and cantaloupe drying under convective hot air dryer , 2018, Information Processing in Agriculture.

[46]  A. Reyes,et al.  Effect of drying using solar energy and phase change material on kiwifruit properties , 2019 .

[47]  M. Ponnavaikko,et al.  HYBRID INTELLIGENT CONTROL SCHEME FOR AIR H£ATING SYSTEM USING FUZZY LOGIC AND GENETIC ALGORITHM , 2000 .

[48]  Ebrahim Taghinezhad,et al.  Fuzzy logic, artificial neural network and mathematical model for prediction of white mulberry drying kinetics , 2018 .

[49]  Svyatoslav Igorevich Ivanov,et al.  3D Cellular automata for modeling of spray freeze drying process , 2011 .

[50]  Zhenfeng Li,et al.  Real-time, volatile-detection-assisted control for microwave drying , 2009 .

[51]  J. Garcia-Hierro,et al.  Control of a solar dryer through using a fuzzy logic and low-cost model-based sensor. , 2012 .

[52]  Koksal Erenturk Artificial Intelligence Techniques for Food Drying Technology , 2009 .

[53]  Seid Mahdi Jafari,et al.  Mathematical, Fuzzy Logic and Artificial Neural Network Modeling Techniques to Predict Drying Kinetics of Onion , 2016 .

[54]  Natalya V. Menshutina,et al.  Intelligent systems for design of drying processes , 2020, Drying Technology.

[55]  O. Adeyi,et al.  Drying characteristics of yam slices (Dioscorea rotundata) in a convective hot air dryer: application of ANFIS in the prediction of drying kinetics , 2020, Heliyon.

[56]  Xiangdong Liu,et al.  Design and Simulation of a Genetically Optimized Fuzzy Immune PID Controller for a Novel Grain Dryer , 2017, IEEE Access.

[57]  Arun S. Mujumdar,et al.  Application of Artificial Neural Networks (ANNs) in Drying Technology: A Comprehensive Review , 2015 .

[58]  Hicham El Ferouali,et al.  Takagi Sugeno fuzzy modeling applied to an indirect solar dryer operated in both natural and forced convection , 2019, Renewable Energy.

[59]  Qiang Liu,et al.  PH—Postharvest Technology , 2001 .

[60]  J. Díez,et al.  Fuzzy logic application to drying kinetics modelling , 2008 .

[61]  Chi Zhang,et al.  Intelligent control of a grain drying system using a GA-SVM-IMPC controller , 2018 .

[62]  Ning Wang,et al.  Carrot volatiles monitoring and control in microwave drying , 2010 .

[63]  B. E. Postlethwaite,et al.  An application of model-based fuzzy control to an industrial grain dryer , 1997 .

[64]  Coşkun Özkan,et al.  Estimation of coal moisture content in convective drying process using ANFIS , 2016 .

[65]  Alex Martynenko Artificial intelligence: Is it a good fit for drying? , 2018 .

[66]  Myung Jin Chung,et al.  Robustness of fuzzy logic control for an uncertain dynamic system , 1998, IEEE Trans. Fuzzy Syst..

[67]  Uma Shanker Shivhare,et al.  Water Sorption Isotherm and Drying Characteristics of Tomato Seeds , 2003 .

[68]  M. Shahedi,et al.  Modelling Mass Transfer during Hot Air Drying of Banana Using Cellular Automaton , 2019 .

[69]  Wei Zhang,et al.  A neuro-fuzzy decoupling approach for real-time drying room control in meat manufacturing , 2015, Expert Syst. Appl..

[70]  Mustafa Türker,et al.  Comparison of Different Modeling Concepts for Drying Process of Baker's Yeast , 2009 .

[71]  Kauko Leiviskä,et al.  Fuzzy modelling of a rotary dryer , 2000 .

[72]  Konrad Hungerbühler,et al.  Industrial batch dryer data mining using intelligent pattern classifiers: Neural network, neuro-fuzzy and Takagi–Sugeno fuzzy models , 2010 .

[73]  Simon X. Yang,et al.  An adaptive neuro-fuzzy approach to bulk tobacco flue-curing control process , 2017 .

[74]  Anil Kumar,et al.  PREDICTION OF THE RATE OF MOISTURE EVAPORATION FROM JAGGERY IN GREENHOUSE DRYING USING THE FUZZY LOGIC , 2015 .

[75]  S. Lertworasirikul Drying kinetics of semi-finished cassava crackers: A comparative study , 2008 .

[76]  Uğur Yüzgeç,et al.  Adaptive modeling of the drying of baker's yeast in a batch fluidized bed , 2009 .