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Quality Control of the Continuous Hot Pressing Process of Medium Density Fiberboard Using Fuzzy Failure Mode and Effects Analysis

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College of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, China
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Faculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland
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Department of Applied Informatics, Vytautas Magnus University, 44404 Kaunas, Lithuania
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Department of Intelligent Computer Systems, Częstochowa University of Technology, 42-200 Częstochowa, Poland
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School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China
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Shaanxi Key Laboratory for Network Computing and Security Technology, Xi’an 710054, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(13), 4627; https://doi.org/10.3390/app10134627
Received: 13 June 2020 / Revised: 28 June 2020 / Accepted: 30 June 2020 / Published: 3 July 2020
(This article belongs to the Section Computing and Artificial Intelligence)
In this paper, a fuzzy failure mode and effects analysis (FMEA) method is proposed by combining fault theory and a failure analysis method. The method addresses the problem of board thickness control failure and the problem of thickness deviation defect blanking, which can occur during continuous hot pressing (CHP) process, which is one of the most important processes in the production of medium-density fiberboard (MDF). The method combines the fault analysis with the Hamming code method and using the Hamming code to calculate and represent the cylinder array of the continuous hot-pressed thickness control execution unit to analyze and process the potential fixed thickness failure modes in MDF hot press production, and then summarizes the decision rules for controlling the board thickness and the level of sheet deviation. By combining the fuzzy FMEA method of the Hamming code and the logical OR operation of the experimental analysis, the method of thickness deviation and recognition control fault information for the CHP of MDF, which is proposed in this paper, permits the increase of the number of error levels, which makes optimization for controller more convenient and improves the efficiency to recognize errors. View Full-Text
Keywords: MDF; fuzzy FMEA; continuous hot pressure; deviation recognition MDF; fuzzy FMEA; continuous hot pressure; deviation recognition
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MDPI and ACS Style

Lv, Y.; Liu, Y.; Jing, W.; Woźniak, M.; Damaševičius, R.; Scherer, R.; Wei, W. Quality Control of the Continuous Hot Pressing Process of Medium Density Fiberboard Using Fuzzy Failure Mode and Effects Analysis. Appl. Sci. 2020, 10, 4627. https://doi.org/10.3390/app10134627

AMA Style

Lv Y, Liu Y, Jing W, Woźniak M, Damaševičius R, Scherer R, Wei W. Quality Control of the Continuous Hot Pressing Process of Medium Density Fiberboard Using Fuzzy Failure Mode and Effects Analysis. Applied Sciences. 2020; 10(13):4627. https://doi.org/10.3390/app10134627

Chicago/Turabian Style

Lv, Yunlei, Yaqiu Liu, Weipeng Jing, Marcin Woźniak, Robertas Damaševičius, Rafał Scherer, and Wei Wei. 2020. "Quality Control of the Continuous Hot Pressing Process of Medium Density Fiberboard Using Fuzzy Failure Mode and Effects Analysis" Applied Sciences 10, no. 13: 4627. https://doi.org/10.3390/app10134627

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