To improve the fault diagnosis accuracy of rolling bearings under diverse working conditions,
an improved domain adversarial neural network is proposed, the feature extraction module …

In this paper, a fault diagnosis method is proposed based on multi-sensor fusion information
for a single fault and composite fault of train braking systems. Firstly, the single mass model …

Accurately determining a train's state is essential for passenger safety, operation efficiency,
and maintenance. However, the actual operation state of a train is composed of a variety of …

In this paper, a state estimation method is proposed based on the multi-rate asynchronous
sensors fusion with missing measurements for high-speed train. Firstly, considering the actual …

By analyzing the mechanism of pure air emergency brake for high‐speed train, the discrete
emergency brake model is established. Aiming at the problem that time‐varying hidden …

Classification of coronary artery stenosis is essential in assisting physicians in diagnosing
cardiovascular diseases. However, due to the complexity of medical diagnosis and the …

To solve the particle degradation and sample impoverishment, a maximum correntropy-based
extended particle filter method is proposed by optimizing the important density function. In …

The statistical distribution of radar cross-section (RCS) of complex targets varies for different
attitude angles and may even behave as a bimodal distribution. Classical distribution …

In this paper, the relationship between traction, resistance, braking force, speed and acceleration
is discussed. A nonlinear parametric state space model is established to describe the …

In this paper, we propose an output feedback flight tracking control scheme for helicopter
attitude and altitude systems with unmeasured states under full state constraints. Firstly, a state …