Fuzzy logic control and soft sensing applications in food and beverage processes

Birle, Stephan; Hussein, Mostafa; Becker, Thomas

doi:10.1016/j.foodcont.2012.06.011

Cited by 45 publications

(15 citation statements)

References 104 publications

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“…Multiobjective optimization can be quickly, reliably, and cheaply achieved because the essential steps are known from the model algorithm and are known as "knowledgebased process management." This strategy permits not only a "feedback" (re-active) control but also a "feed forward" (pro-active) control [4,5,7].…”

Section: Measure Functionality With Causalitymentioning

confidence: 99%

Perspectives in process analysis

Kessler

2013

Journal of Chemometrics

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Process analysis is a transdisciplinary technology. Process chemists, process engineers, chemometricians, and many other technologists must work together and put more emphasis on the essentials of science of each discipline. This perspective analyzes potential strategies for intelligent production in the future. It emphasizes the need for a holistic approach where multimodality will be a bedrock supporting the production of smart materials in smart factories.

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Section: Measure Functionality With Causalitymentioning

confidence: 99%

Perspectives in process analysis

Kessler

2013

Journal of Chemometrics

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“…Over the years, different methodologies have been carried out to monitor and control biological processes based on intelligent systems and human knowledge [ 2 , 3 ]. In particular, in [ 4 ] the authors reviewed the application of fuzzy expert system approaches in food and beverage processes for quality evaluation, sensing and control.…”

Section: Introductionmentioning

confidence: 99%

Expert System for Monitoring the Malaxing State of the Olive Paste Based on Computer Vision †

Gila

Marchal

Ortega

et al. 2018

Sensors

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The malaxing of olive paste is one of the most important sub-processes in the virgin olive oil production process. The master continuously supervises the olive paste inside the themomixer to assess the preparation state of the olive paste and he acts manually over the process variables. The viscosity, granularity, and the presence of olive oil over the paste are the main indicators of the olive paste state. Furthermore, the temperature, time, coadjuvant addition and the shovel speeds are the process variables in the thermomixer. In this work, different image-processing parameters have been proposed to automatically assess the aforementioned indicators and they have been used as inputs in the designed fuzzy controller. Also, the outputs of this controller have been evaluated according to a sequence of images obtained inside the thermomixer and during the malaxing process in a real olive mill.

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“…A vast number of control strategies and techniques have been proposed, and searched in the past two decades due to rapid development of computers, controllers, sensors and communication techniques [3]. These research activities were focused on controllers' technical performance including control strategies and communication protocols [4][5][6][7]. Australian subtropical regions' buildings' occupancy based control strategies (Fuzzy based) are not included in its management systems.…”

Section: Introductionmentioning

confidence: 99%

Potential of Saving Energy Using Advanced Fuzzy Logic Controllers in Smart Buildings in Subtropical Climates in Australia

2014

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Subtropical Regions in Australia are associated with high demand for air conditioning throughout the long Summer which leads to a high energy consumption and consequently high greenhouse gas (GHG) emissions which has a high negative impact on the environment. Using conventional controllers in Building Management Systems (BMS) whose functions are based on ON/OFF, temperature control and in some cases humidity control is not the ultimate solution to save energy. The reason behind the above fact is that, conventional controllers do not take into account real time events such as the number of occupants, indoor air quality (IAQ), natural light illuminations and etc dislike Fuzzy logic based controllers. In the last decade there is a high interest in researching Fuzzy logic based controllers as they have the ability to save energy while maintaining indoor comfort level. In this article a general review on Fuzzy logic based controllers is presented, focusing on the role of technology in saving energy, and its potential in subtropical Central Queensland, Australia. The issues of past and present techniquesare highlighted and discussed accordingly.

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Fuzzy logic control and soft sensing applications in food and beverage processes

Cited by 45 publications

References 104 publications

Perspectives in process analysis

Perspectives in process analysis

Expert System for Monitoring the Malaxing State of the Olive Paste Based on Computer Vision †

Potential of Saving Energy Using Advanced Fuzzy Logic Controllers in Smart Buildings in Subtropical Climates in Australia

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