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Sustainability Assessment of Industrial Systems under Uncertainty: A Fuzzy Logic Based Approach to Short-Term to Midterm Predictions

Cristina Piluso, Jennifer Huang, Zheng Liu, Yinlun Huang
2010 Industrial & Engineering Chemistry Research  
A comprehensive study on a metal-finishing-centered industrial zone is illustrated to show the efficacy of the introduced methodology.  ...  This paper introduces a fuzzy logic based approach for the effective short-and long-term assessment of industrial sustainability under the restrictions of aleatory and epistemic uncertainties.  ...  Case Study The introduced methodology has been used to study a number of industrial sustainability problems.  ... 
doi:10.1021/ie100164r fatcat:jvx4p7dv2nev5adafta473t4dq

Industrial Monitoring by Evolving Fuzzy Systems

Lara Aires, João Araújo, António Dourado
2009 European Society for Fuzzy Logic and Technology  
The obtained eFS shows a promising performance in the case studied, classifying in some simulations the state of the process into abnormal-normal condition in about 95% of the cases, with a number of rules  ...  Industrial monitoring of complex processes with hundreds or thousands of variables is a hard task faced in this work through evolving fuzzy systems.  ...  This turns to be a complex problem mainly because of its non-linear high dimensional characteristics, since industrial systems are described using a large number of variables, which can be determined by  ... 
dblp:conf/eusflat/AiresAD09 fatcat:txpgpnroofdlhopivr26ttyxbm

Particle Swarm Optimization for tuning a Fuzzy Supervisory Controller Parameters (Takagi Seguno and Mamdani Engines)

Riad BENDIB, YOUC HAMMADI, Mohammed MAZOUZI, Elarkam MECHHOUD
2020 Algerian journal of signals and systems  
Steam generation systems are a crucial part of most power plants.  ...  The fact that let the industrials prefer the use of simple PID controllers rather than complicated fuzzy or neural controllers.  ...  INTRODUCTION Boilers were a major part of the Industrial Revolution beginning about 1700. They are major consumers of industry and building energy consumption today.  ... 
doi:10.51485/ajss.v5i2.102 fatcat:2c25gcty5zbm5joln5nvqifvhu

A framework for comparative evaluation of lean performance of firms using fuzzy TOPSIS

Sanjay Kumar, Bhim Singh, Mohammed Asim Qadri, Y.V. Satya Kumar, Abid Haleem
2013 International Journal of Productivity and Quality Management  
In this research, lean readiness is evaluated in a case study industry using a framework model. It consists of two dimensions: the critical success factors, and the barriers.  ...  Using force field analysis, the conflicting nature of these dimensions was portrayed. With the help of fuzzy logic, a hierarchical fuzzy system was developed to evaluate lean readiness.  ...  ACKNOWLEDGEMENTS We thank the management of the case study industry for their valuable suggestions about this research.  ... 
doi:10.1504/ijpqm.2013.054267 fatcat:ja5hnvo6wreita2fn5krnwzdle

A review of artificial intelligent approaches applied to part accuracy prediction

J.V. Abellan Nebot
2010 International Journal of Machining and Machinability of Materials  
This paper overviews the AI approaches applied in machining operations to predict part accuracy in terms of dimensional deviations and surface roughness.  ...  its use.  ...  The author would like to acknowledge the many helpful suggestions of the anonymous reviewers.  ... 
doi:10.1504/ijmmm.2010.034486 fatcat:jdp4narjsfbfngpkutws4vqi6y

Soil productivity analysis based on a fuzzy logic system

Nevcihan Duru, Funda Dökmen, M Mücella Canbay, Cengiz Kurtuluş
2010 Journal of the Science of Food and Agriculture  
However, there is a paucity of tools for measurement for the purpose of understanding changes in soil productivity. Fuzzy logic-based analysis offers this possibility.  ...  Productivity values were obtained as a percentage and varied between 16.9% and 18.1%. The lime content of the study soils varied in the range of 33-88 g kg −1 .  ...  Figure 7 7 presents a part of such rules: 'IF A THEN B'.Figure 8aand b is a three-dimensional (3-D) presentation of these rules.Figure 8agives a 3-D presentation of the rules showing the changes recorded  ... 
doi:10.1002/jsfa.4074 pmid:20648553 fatcat:fp2s7iej2be3bk2vfjpdjxpsaa

Trajectory tracking in 2D under fuzzy controller with variable sampling

Ján Cigánek
2015 Journal of Electrical Systems and Information Technology  
MSC Adams is used for the dynamics of the mechatronic system and Matlab-Simulink for the control part of the co-simulation, respectively.  ...  The proposed controller design and sampling algorithms are verified in the case study of the selected mechatronic system.  ...  Fuzzy rule consists of two parts: the antecedent is the conditional part of the rule and the consequent is the result part of the rule.  ... 
doi:10.1016/j.jesit.2015.11.003 fatcat:brls5zpoyjdgbci3nffnslbvge

Quality Monitoring Using Principal Component Analysis and Fuzzy Logic Application in Continuous Casting Process

Salah Bouhouche, Malek Lahreche, Abdelkrim Moussaoui, Jurgen Bast
2007 American Journal of Applied Sciences  
This paper deals with non linear system monitoring, based on a combined use of Principal Components Analysis (PCA) and fuzzy logic to process and quality monitoring.  ...  The effectiveness of the computing procedure based on fuzzy rule proved by its application to quality estimation of the solidification process in continuous casting.  ...  PCA of the input block (X) connected to a real fuzzy rules is a tool that we develop in this part to quality monitoring.  ... 
doi:10.3844/ajassp.2007.637.644 fatcat:hg5dwal37rabrmrkxh64pb3uwa

Model fusion using fuzzy aggregation: Special applications to metal properties

Qian Zhang, Mahdi Mahfouf, John R. Yates, Christophe Pinna
2012 Applied Soft Computing  
It does not rely on a fixed structure and can combine various modelling techniques in 'symbiosis' using a 'master fuzzy system'.  ...  2012) Model fusion using fuzzy aggregation: Special applications to metal properties.  ...  Acknowledgements The authors wish to thank the anonymous reviewers for their comments which helped to improve the quality of this paper.  ... 
doi:10.1016/j.asoc.2012.01.021 fatcat:legp3wa4rvhr7jdcfdp5zmzbma

Voltage regulation and power-saving method of asynchronous motor based on fuzzy control theory

Chunjing Guo
2022 Open Physics  
as output variable, and a two-dimensional fuzzy control algorithm model is constructed.  ...  Fuzzy control theory is used for voltage regulation and power saving of asynchronous motors.  ...  Fuzzy control is not established using a mathematical model of the control system, but through "fuzzy rules" converted from expert experience since it was established, it has been widely used in industrial  ... 
doi:10.1515/phys-2022-0032 fatcat:frb45q52w5bmlcrasf2m5sorgm

Integral Criterion-Based Adaptation Control to Vibration Reduction in Sensitive Actuators

Mahmood Vosoogh, Farzin Piltan, Abdol Majid Mirshekaran, Ali Barzegar, Alireza Siahbazi, Nasri Sulaiman
2015 International Journal of Hybrid Information Technology  
The first problem of the fuzzy logic controller was stability in certain and uncertain systems. This problem can be reduced in certain system by using hybrid fuzzy control law.  ...  However fuzzy hybrid controller based on PID methodology has advantage in certain system, but it has challenge in presence of uncertainty and motor vibration.  ...  Acknowledgment The authors would like to thank the anonymous reviewers for their careful reading of this paper and for their helpful comments.  ... 
doi:10.14257/ijhit.2015.8.2.02 fatcat:tuiqd3iz2zbmdh4ugkfzx7kqpi

A low cost speed control system of brushless DC motor using fuzzy logic

Jong-Bae Lee, Tae-Bin Im, Ha-Kyong Sung, Young-Ouk Kim
1999 1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251)  
In this paper, focuses on a low cost speed control system using a fuzzy logic controller for a Brushless DC Motor.  ...  We used a hall IC signal for the permanent magnet rotor position and for the speed feedback signals, and also for a micro controller of 8-bit type (80CL580); furthermore, we designed the fuzzy logic controller  ...  The fuzzy output ∆D changes the pulse duty D new which determines motor speed so that stable speed and torque may be maintained in case of starting or load changing of motor The fuzzy rule base to control  ... 
doi:10.1109/idc.1999.754196 fatcat:3w5lyiuss5frrlyugnhivvfi5y

Analysis Of A Neuro-Fuzzy Approach Of Air Pollution: Building A Case Study

Ciprian-Daniel NEAGU, Daniela NEAGU, Lucian GEORGESCU, Vasile PALADE
2001 Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică  
The problems of designing a database about air quality in an urban/industrial area are discussed.  ...  in urban/industrial areas, with a special focus in the south-eastern Romania.  ...  In the majority part of recent national and international documents about air pollution, the region of south Romania is listed as affected from industrial effluents (EEA 2000 , MAPPM 2000 .  ... 
doaj:05f0e5570bad4a2d90057fc223634831 fatcat:ywjneqstzjgnfexseb2o2jwdde

Model Fusion via a Master Fuzzy System with Special Application to Engineering Materials

Qian Zhang, Mahdi Mahfouf, John R. Yates, Christophe Pinna, George Panoutsos, Soufiene Boumaiza, Richard J. Greene, Luis De Leon
2011 IFAC Proceedings Volumes  
In this paper, the study is concentrated on the latter solution, where a structure-free modelling paradigm is proposed to combine various modelling techniques in 'symbiosis' using a 'master fuzzy system  ...  This approach is shown to be able to include the advantages of different modelling techniques altogether by minimising efforts relating optimisation of final structure.  ...  ComponenTs) project of the Framework 6 initiative.  ... 
doi:10.3182/20110828-6-it-1002.00771 fatcat:c3f72yfna5ecpk6cplv2nbuo4e

Modeling the risk factors in ergonomic processes in Brick kilns workers using Fuzzy Logic

Manoharan
2012 International Journal of Applied Science and Engineering Research  
body data between various working postures in Brick kiln .The measured human body is substituted by a proper set of critical body points under stress using fuzzy logic.  ...  The critical points data are used as a basis of transforming the data, the obtained data are used to describe specific working body postures.  ...  There are statistical data gathered by study research by ergonomists that give the dimensions of most parts of the body.using these data manufacturers like car manufacturers know fairly accurately about  ... 
doi:10.6088/ijaser.0020101009 fatcat:zzmfykknxzefnebym7xblniruu
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