使用多变量功能数据分析对液压系统的状态监测和多故障分类
Cevahir Yildirim1, Alba M Franco-Pereira2,3, Rosa E Lillo1,4
1uc3m - Santander Big Data Institute (IBiDat), Spain.
Heliyon
|January 15, 2025
概括
本研究引入了一种新的多变量功能数据分析 (FDA) 方法,用于液压系统故障分类. 该方法使用多传感器数据准确诊断故障,增强预测和健康管理 (PHM).
科学领域:
- 工程 工程师 工程师 工程师
- 数据科学数据科学数据科学
- 系统健康监测 系统健康监测
背景情况:
- 状态监测和故障分类对于预测和健康管理 (PHM) 是至关重要的.
- 复杂的非线性系统,如液压系统,存在重大故障诊断挑战.
- 大数据,机器学习 (ML),工业4.0和物联网 (IoT) 的进步增加了对复杂诊断工具的需求.
研究的目的:
- 开发一种新的多变量功能数据分析 (FDA) 框架,用于对液压系统的故障条件进行分类.
- 为应对来自多传感器数据和多种故障状态的多故障分类所带来的挑战.
- 在复杂的工程系统中系统地解决基于条件的诊断.
主要方法:
- 开发了一个新的多变量功能数据分析 (FDA) 框架.
- 多变量功能主要组件分析 (MFPCA) 被用作核心分析技术.
- 该方法应用于液压系统的原始多传感器数据.
主要成果:
- 拟议的多变量FDA框架在识别故障条件方面实现了高分类准确性.
- 该方法有效地利用原始多传感器数据进行故障诊断.
- 实验结果验证了该方法的有效性.
结论:
- 多变量FDA,特别是使用MFPCA,是复杂系统中故障诊断的强大工具.
- 开发的框架提供了基于条件的诊断和多故障分类的系统方法.
- 这项研究推动了FDA在工程系统健康管理中的应用.
相关概念视频
Classification of Systems-I
168
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
168
Multi-input and Multi-variable systems
95
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
95
Design Example: Creating a Hydraulic Model of a Dam Spillway
121
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
121
Multiple Pipe Systems
404
Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
Series Configuration
In a series configuration, fluid flows sequentially from one pipe...
Series Configuration
In a series configuration, fluid flows sequentially from one pipe...
404
Feedback control systems
280
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
280
Typical Model Studies
340
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
340


