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.

中文翻译：

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开发2型模糊逻辑的数值方法，以提高液压自动导引车的可靠性

目的

本文利用状态监测，专家组和多种隶属度函数，通过在MATLAB软件中建立模糊系统，获得了不确定性的重要组成部分和结构状态。

设计/方法/方法

以模糊类型的形式，必须遵循平均结构安全性以替换损坏或绝对控制决策。液压自动导引车（AGV）的功能不确定性，不知道零件的可靠性，会导致制造过程中的故障。它可以通过状态监视部分进行控制，该状态监视部分由测量误差和模糊边界完成。

发现

结果，这种监视可以在柔性制造系统中以更高的交付质量来提高生产率，并使液压AGV零件的可靠性损失提高70％。

创意/价值

近年来，液压AGV在柔性制造中发挥着至关重要的作用。近来，在工业中存在用于液压AGV的维护和修理的几种策略，但是仍然面临许多不确定性。经过10年的努力，液压AGV在可靠性方面面临不确定性。用新零件重建旧零件可能没有质量和耐用性。