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Develop a numerical approach of fuzzy logic type-2 to improve the reliability of a hydraulic automated guided vehicles

Zhixiong Li (School of Automotive and Traffic Engineering, Hubei University of Arts and Science, Xiangyang, China and Faculty of Mechanical Engineering, Opole University of Technology, Opole, Poland)
Morteza Jamshidian (Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Sayedali Mousavi (Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Arash Karimipour (Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Iskander Tlili (Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam and Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Vietnam)

International Journal of Numerical Methods for Heat & Fluid Flow

ISSN: 0961-5539

Article publication date: 10 December 2020

Issue publication date: 3 May 2021

95

Abstract

Purpose

In this paper, the uncertainties important components and the structure status are obtained by using the condition monitoring, expert groups and multiple membership functions by creating a fuzzy system in MATLAB software.

Design/methodology/approach

In the form of fuzzy type, the average structural safety must be followed to replace the damages or to absolutely control the decision-making. Uncertainty in the functionality of hydraulic automated guided vehicles (AGVs), without knowing the reliability of pieces, can cause failure in the manufacturing process. It can be controlled by the condition monitoring pieces done by measurement errors and ambiguous boundaries.

Findings

As a result, this monitoring could increase productivity with higher quality in delivery in flexible manufacturing systems with an increase of 70% reliability mutilation for the hydraulic AGV parts.

Originality/value

Hydraulic AGVs play a vital role in flexible manufacturing in recent years. Lately, several strategies for maintenance and repairing of hydraulic AGVs exist in the industry but are still confronted with many uncertainties. The hydraulic AGV is faced with uncertainty after 10 years of working in terms of reliability. Reconstruction of the old parts with the new parts may not have the quality and durability.

Keywords

Acknowledgements

The first author acknowledges the support provided by Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control (Fuzhou University).

The Project was supported by The Science Fund of Key Laboratory of Hubei Province in Design and Test of Power System of Pure Electric Vehicle (XKQ2020002) and NCN.

Retraction notice: The publishers of International Journal of Numerical Methods for Heat & Fluid Flow wish to retract the article “Develop a numerical approach of fuzzy logic type-2 to improve the reliability of a hydraulic automated guided vehicles” by Z. Li, M. Jamshidian, S. Mousavi, A. Karimipour and I. Tlili which appeared in Volume 31, Issue 5, 2021.

It has come to our attention that there are concerns regarding the authorship of the paper and that the peer review process was compromised.

Portions of the article are also taken, without attribution, from the following source:

Jamshidian, M. and Mousavi, S.A. (2014), “Predicting Failure in the Hydraulic Lift Structures with Monitoring and Fuzzy Logic”, Journal of Modern Processes in Manufacturing and Production, Vol. 3 No. 2.

The International Journal of Numerical Methods for Heat & Fluid Flow submission guidelines make it clear that only those who have made a substantial contribution to the article should be credited as authors and that articles must be original.

The publishers of the journal sincerely apologize to the readers.

Citation

Li, Z., Jamshidian, M., Mousavi, S., Karimipour, A. and Tlili, I. (2021), "Develop a numerical approach of fuzzy logic type-2 to improve the reliability of a hydraulic automated guided vehicles", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 31 No. 5, pp. 1396-1409. https://doi.org/10.1108/HFF-01-2019-0019

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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