On the Reliability of Intelligent Fuzzy System for Multivariate Pattern Scrutinization of Power Consumption Efficiency of Mechanical Front Wheel Drive Tractor

Shafaei, S.M.; Loghavi, M.; Kamgar, S.

doi:10.1007/s42853-020-00083-6

Cited by 16 publications

(4 citation statements)

References 81 publications

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“…Analysis of the literature indicates there are some reports for presentation of prognostication efficiency of adaptive neuro-fuzzy inference system in different fields of Biosystems Engineering research (Daneshmand et al, 2015;Shafaei et al, 2017aShafaei et al, , 2020aShafaei et al, , 2021bShafaei et al, 2018d).…”

Section: Considerable Developments Of Intelligent Simulation Approachesmentioning

confidence: 99%

Adequacy assessment of neuro‐fuzzy simulation system for characterization of hydration kinetics of sesame seeds subjected to thermic and ultrasonication schemes

Shafaei

Nourmohamadi-Moghadami

Kamgar

2021

J Food Process Preserv

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Neuro-fuzzy simulation of food engineering phenomena can be a supportive manner for integrated realization of compound trends of involved parameters. This paper is aimed to develop neuro-fuzzy simulation system for characterization of hydration kinetics of sesame seeds subjected to thermic and ultrasonication schemes. The simulation system was developed based on various types and numbers of input membership functions, defuzzification methods, types of output membership functions, and numbers of training cycles. Promising performance of prominent system guaranteed its reliability for characterization of hydration kinetics on the basis of numeral variables of soaking time and temperature (20, 30, 40, 50 and 60°C) and nominal variable of soaking scheme (thermic and ultrasonication [25 kHz and 360 W]). The simulation results divulged that applying both schemes of thermic and ultrasonication (thermo-ultrasonication scheme) was more effective than individual scheme of thermic and ultrasonication in order to proliferate water absorption into the grains.However, contributory influence of the ultrasonication on water absorption was less apparent at higher soaking temperatures, and it was more dominant, when soaking time augmented. Practical applicationsIt can be asserted that the neuro-fuzzy simulation system developed and verified in this study can be practically utilized in sesame oil extraction process and industrial production of popular sesame snack food kwon as sesame paste (Tahini). How to cite this article: Shafaei SM, Nourmohamadi-Moghadami A, Kamgar S. Adequacy assessment of neurofuzzy simulation system for characterization of hydration kinetics of sesame seeds subjected to thermic and ultrasonication schemes. J Food Process Preserv.

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Section: Considerable Developments Of Intelligent Simulation Approachesmentioning

confidence: 99%

Adequacy assessment of neuro‐fuzzy simulation system for characterization of hydration kinetics of sesame seeds subjected to thermic and ultrasonication schemes

Shafaei

Nourmohamadi-Moghadami

Kamgar

2021

J Food Process Preserv

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“…The tractor is one of the important pieces of agricultural equipment, as it plays an important role in the construction of agricultural modernization. With the continuous advancement of agricultural modernization, scale, and intelligence, high-power tractors have become the main direction of development [1][2][3][4]. Tractor traction power consumption is one of the main reasons for energy consumption in agricultural production; thus, scientific and accurate control of tractor traction power consumption can obviously play a role in energy saving and consumption reduction [3,[5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…With the continuous advancement of agricultural modernization, scale, and intelligence, high-power tractors have become the main direction of development [1][2][3][4]. Tractor traction power consumption is one of the main reasons for energy consumption in agricultural production; thus, scientific and accurate control of tractor traction power consumption can obviously play a role in energy saving and consumption reduction [3,[5][6][7]. To carry out high-power tractor operation load tests, accurate and real-time acquisition of traction signals is the premise of accurate control of tractor traction power consumption [4].…”

Section: Introductionmentioning

confidence: 99%

Study on Agricultural Machinery-Load-Testing Technology and Equipment Based on Six-Dimensional Force Sensor

Chen,

Cao,

Yuan

et al. 2023

Agriculture

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Tractor traction power consumption is one of the main causes of energy consumption in agricultural production. Scientific and accurate control of tractor traction power consumption can obviously save energy and reduce consumption. In view of the backward load-testing technology and low measurement accuracy in field work, this study designed an array test equipment, which formed a measurement matrix based on a six-dimensional force sensor to accurately measure tractor hauled load, which could provide a reference signal for intelligent operation. In this paper, the static calibration test was carried out on the six-dimension force sensor, and the linearity, sensitivity, and zero drift were analyzed. The static characteristics of the test unit meet the measurement requirements. A static decoupling model was established. The decoupling errors of each channel were stable at 0.02%FS, 0.02%FS, 0.8%FS, 0.36%FS, 0.018%FS, and 0.06%FS, respectively. Finally, the whole hanging test of the measuring equipment was carried out—the error was 1.24%, −1.2% respectively—to verify the accuracy of the measurement of the sensor device under different working conditions.

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“…Besides artificial neural network, adaptive neuro-fuzzy inference system is another neural simulation environment used to ameliorate efficiency of prognostication for nonlinear dependency based on condition of training algorithm and expert knowledge in a controlled environment. Analysis of literature indicates there are some reports for presentation of prognostication efficiency of adaptive neuro-fuzzy inference system in different fields of Biosystems Engineering research (Daneshmand, Tavousi, Khosravi, & Tavakoli, 2015;Shafaei, Loghavi, et al, 2017;Shafaei, Loghavi, et al, 2020;Shafaei, Loghavi, et al, 2021;Shafaei, Loghavi, Kamgar, & Raoufat, 2018).…”

Section: Introductionmentioning

confidence: 99%

Manifestation of neuro‐fuzzy simulation environment for prognostication of water absorption kinetics of soybean grains in thermo‐ultrasonication‐assisted soaking process

Shafaei

Nourmohamadi-Moghadami

Kamgar

2021

J Food Process Engineering

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Neuro‐fuzzy simulation of food engineering phenomena can be a supportive manner for integrated realization of compound trends of involved parameters. This article is aimed to manifest neuro‐fuzzy simulation environment for prognostication of water absorption kinetics of soybean grains in thermo‐ultrasonication‐assisted soaking process. The simulation environment was developed based on various types and numbers of input membership functions, defuzzification methods, types of output membership functions, and numbers of training cycles. Promising performance of the prominent environment guaranteed its reliability for prognostication of water absorption kinetics on the basis of numeral variables of soaking time and temperature (20, 30, 40, 50 and 60°C), and nominal variable of soaking strategy (thermic and ultrasonication [25 kHz and 360 W]). The simulation results divulged that applying both strategies of thermic and ultrasonication (thermo‐ultrasonication strategy) was more effective than individual strategy of thermic and ultrasonication in order to proliferate water absorption into the grains. However, contributory influence of the ultrasonication on water absorption was less apparent at higher soaking temperatures and it was more dominant, when soaking time augmented. Practical Applications It can be asserted that the neuro‐fuzzy simulation environment manifested and verified in this study can be practically utilized in oil extraction and seed priming process, and industrial production of some popular soybean food products (Soymilk, Okara, Tofu, Shoyu, Miso, and Natto).

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On the Reliability of Intelligent Fuzzy System for Multivariate Pattern Scrutinization of Power Consumption Efficiency of Mechanical Front Wheel Drive Tractor

Cited by 16 publications

References 81 publications

Adequacy assessment of neuro‐fuzzy simulation system for characterization of hydration kinetics of sesame seeds subjected to thermic and ultrasonication schemes

Adequacy assessment of neuro‐fuzzy simulation system for characterization of hydration kinetics of sesame seeds subjected to thermic and ultrasonication schemes

Study on Agricultural Machinery-Load-Testing Technology and Equipment Based on Six-Dimensional Force Sensor

Manifestation of neuro‐fuzzy simulation environment for prognostication of water absorption kinetics of soybean grains in thermo‐ultrasonication‐assisted soaking process

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