基于变量贝叶斯卡尔曼过的双模型脱轨检测算法
Shiwei Fan1,2, Xu Gao1, Ya Zhang1
1School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
Micromachines
|August 29, 2024
概括
使用微惯性测量单元 (IMU) 的新算法增强了铁路货车脱轨检测. 这种方法显著提高了水平态度测量的准确性,将误差减少89%,使铁路运输更安全.
科学领域:
- 铁路工程 铁路工程是指铁路工程.
- 传感器技术 传感器技术
- 信号处理 信号处理
背景情况:
- 由于复杂的制动装置机制,铁路货车中的脱轨检测具有挑战性.
- 精确监测货车态度对于防止脱轨至关重要.
研究的目的:
- 为铁路货运车辆设计一种新的脱轨检测算法.
- 提高水平态度测量的准确性,以提高安全性.
主要方法:
- 开发了一种使用微惯性测量单元 (IMU) 的货车水平态度测量模型.
- 实现了使用陀螺仪和加速度计的态度测量算法.
- 提出了一个基于变量贝叶斯卡尔曼过的高精度态度测量算法.
- 引入了一种双模即时态度差测量技术,以提高脱轨检测的准确性.
主要成果:
- 拟议的算法显著提高了货车水平态度变化的测量准确性.
- 与纯惯性方法相比,水平态度计算中的误差减少了89%.
- 通过模拟和车载实验的验证证实了算法的有效性.
结论:
- 开发的算法为提高铁路货车脱轨检测的准确性提供了坚实的技术基础.
- 这一进步有助于提高铁路运营的安全性和效率.
相关概念视频
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
64
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
64
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
432
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
On...
432
Multi-input and Multi-variable systems
105
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...
105
Linear Approximation in Time Domain
72
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
72
Calibration Curves: Linear Least Squares
1.3K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
For data that follow a straight line, the standard method for fitting is the linear...
1.3K
Classification of Signals
420
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
420


