基于轻量级通道注意力机制和转移学习的变速箱故障诊断方法
Xuemin Cheng1, Shuihai Dou2, Yanping Du1
1Department of Mechanical and Electrical Engineering, Beijing Institute of Graphic Communication, Beijing, 102600, China.
Scientific reports
|January 7, 2024
概括
本研究引入了一种新的变速箱故障诊断方法,使用轻量级通道注意力机制和转移学习. 它有效地诊断故障,即使数据有限和条件不同.
科学领域:
- 机械工程 机械工程
- 人工智能的人工智能
- 信号处理 信号处理
背景情况:
- 变速箱故障诊断模型因有限的数据和分配轮班而面临复杂,变化的工作条件.
- 当前的方法在面对不足的有效样本和显著的数据变化时,往往无法实现最佳性能.
研究的目的:
- 开发一种智能变速箱故障诊断方法,以应对不同条件下的性能下降.
- 通过跨组件转移学习和轻量级注意力机制,通过使用有限样本增强模型的稳定性.
主要方法:
- 波段变换用于获得时间频率分布,捕获局部信号特征.
- 一个轻量级高效的道注意力机制 (LECA) 设计了本地跨道交互策略.
- 构建一个轻量级卷积神经网络 (CNN),结合多级特征输入和LECA,然后进行转移学习.
主要成果:
- 拟议的模型表明有效利用有限的样本用于变速箱故障诊断.
- 转移学习使得即使在小型数据集上也能够准确和快速地进行故障分类.
- 该方法在不同的工作条件和跨组件场景下实现了良好的诊断性能.
结论:
- LECA和转移学习的综合方法显著提高了变速箱故障诊断的准确性和效率.
- 这种方法为复杂的工程环境中的智能故障诊断提供了强大的解决方案.
- 该研究验证了拟议的技术对小样本学习和跨组件转移的有效性.
更多相关视频
06:45Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
Published on: October 28, 2022
1.7K
06:37Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
Published on: December 15, 2023
3.8K
相关概念视频
Transmission Shafts: Problem Solving
Designing a solid shaft that transmits power from a motor to a machine tool involves a series of calculations to ensure the shaft can withstand the stresses applied by bending moments and torques. First, calculate the torque exerted on the gear, considering the power transmitted by the shaft and its rotational speed. Following this, compute the tangential forces acting on the gears, which directly relate to the torque and the gear radius.
Next, use bending moment diagrams for the shaft to...
Next, use bending moment diagrams for the shaft to...
Block Diagram Reduction
The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
Multi-input and Multi-variable systems
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 of...
In the absence of...
Root-Locus Method
A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block diagram,...
This system can be represented by a block diagram,...
PD Controller: Design
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Multimachine Stability
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
