基于智能控制的机械设备金属结构故障诊断研究

Research on Fault Diagnosis of Mechanical Equipment Metal Structure Based on Intelligent Control

我国传统检测机械设备故障方法中缺少能够自主学习的功能,使得其难以在复杂的系统当中针对检测对象的情况创建更加科学准确的数学模型,因此在满足时代发展过程中检测机械设备故障方法日益增长的需求下,提出可以有效通过利用智能控制对机械设备金属结构等进行故障诊断的方法。本文主要通过以智能控制为基础利用ANSYS有限元进行分析研究,建立科学合理的机械金属结构的参数化模型来更好的计算机械设备在桥架载荷方面的疲劳强度和刚度,再应用蒙特卡罗法来对其随机变量进行模拟,以此完成可靠性分析的研究目标,进而能够有效地使机械设备的安全性和可靠性得以提升。

My country’s traditional methods for detecting mechanical equipment failures lack the ability to learn independently,making it difficult to create a more scientific and accurate mathematical model for the detection object in a complex system.Therefore,the method of detecting mechanical equipment failures in the process of meeting the development of the times Under the increasing demand,a method that can effectively diagnose the metal structure of mechanical equipment by using intelligent control is proposed.This paper mainly uses ANSYS finite element analysis and research based on intelligent control to establish a scientific and reasonable parameterized model of mechanical metal structure to better calculate the fatigue strength and stiffness of mechanical equipment in terms of bridge load,and then apply Monte Carlo method To simulate its random variables to complete the research goal of reliability analysis,which can effectively improve the safety and reliability of mechanical equipment.