基于状态数据的包装生产线故障诊断方法研究

发布时间：2018-04-18 00:25

本文选题：包装机械 + 故障元　；参考：《温州大学》2017年硕士论文

【摘要】：随着现代工业和信息科技的迅猛发展,如何通过大数据、云计算等新一代信息技术制定合理、系统的诊断策略,利用有限资源准确快速地对包装生产线故障进行诊断,减少停工损失,是近年来学术界和工业界研究的一个热点课题。包装生产线结构复杂,目前针对设备的故障诊断方法存在以下问题:①没有从运行状态数据出发,对设备的各个部件的运行状态进行分析;②技术门槛高,维护成本高。为此,本文提出了基于运行状态数据的包装生产线在线故障诊断方法。论文主要研究的内容如下:(1)阐述了包装机械故障诊断方法研究的背景意义,首先介绍了包装机械的应用前景,对故障诊断方法的研究现状进行了分析,并提出现有研究的不足。(2)介绍了高速上袋机的结构和工作原理,并从功能角度将上袋机分解成若干个子系统。其次,根据故障统计数据,即静态状态数据,对高速上袋机进行了故障类型及其影响分析。最后,通过危害度分析法求出影响上袋机稳定运行的关键子系统。(3)定义了状态数据并将其分类,设计气缸(开关类)动态状态数据和伺服(数据类)动态状态数据的采集装置。(4)提出了三种故障信息元:过去型故障元,即时型故障元,预测型故障元。针对故障元的三要素:故障名称、故障特征、特征值这三要素建立基于三者关系的故障诊断模型。(5)以伺服子系统为例,讲诉故障诊断模型如何通过专家系统实现。
[Abstract]:With the rapid development of modern industry and information technology, how to make rational and systematic diagnosis strategy through new generation information technology such as big data, cloud computing, and use limited resources to accurately and quickly diagnose the fault of packaging production line,In recent years, reducing shutdown loss is a hot topic in academia and industry.The structure of the packaging production line is complex. The following problems exist in the fault diagnosis method of the equipment at present: 1. Without proceeding from the operation state data, the technical threshold is high and the maintenance cost is high for the analysis of the operation state of each component of the equipment.Therefore, an online fault diagnosis method for packaging production line based on running state data is proposed in this paper.The main contents of this paper are as follows: (1) the background significance of the research on packaging machinery fault diagnosis method is expounded. Firstly, the application prospect of packaging machinery is introduced, and the research status of fault diagnosis method is analyzed.The paper introduces the structure and working principle of the high speed bagging machine, and decomposes the bagging machine into several subsystems from the point of view of function.Secondly, according to the statistical data of the fault, that is, the static state data, the fault type and its influence on the high speed bagging machine are analyzed.At last, the critical subsystem of affecting the stable operation of the upper bagging machine is calculated by the hazard analysis method.) the state data is defined and classified.This paper presents three kinds of fault information elements: past fault element, instant fault element and predictive fault element, which are used to design dynamic state data of cylinder (switch class) and servo (data class).Aiming at the three elements of fault element: fault name, fault feature and eigenvalue, a fault diagnosis model based on the relationship between them is established. Taking servo subsystem as an example, how to realize the fault diagnosis model by expert system is discussed.
【学位授予单位】：温州大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TB48

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