As a commonly used mode of transportation in people's daily lives, the normal operation of
railway transportation is crucial. The track circuit, as a key component of the railway …

Because of its stability, hydrogen semiconductor sensor has become one of the most
important means widely used in hydrogen monitoring. Sensor fault identification is of great …

With the development of the modern process industry, accurate anomaly detection methods
are increasingly needed. However, identifying anomalies from high-dimensional data …

Body posture estimation has been a hot branch in the field of computer vision. This work
focuses on one of its typical applications: recognition of various body postures in sports …

In order to enhance the accuracy and reliability of fault diagnosis in chemical processes, this
paper proposes a methodology for chemical process fault diagnosis based on an improved …

Event causality identification is an important task in natural language processing. However,
this task is highly challenging due to the high dependency of event context, text semantic …

Aiming at the problem that it is difficult to accurately real-time monitor and identify the
running condition of high-speed shafts with complex structures, a composite neural network …

[Objectives] Artificial intelligent technologies have become an important approach to
improving the safety of shipping and reducing the operating costs of shipping companies. In …

在现代工业过程中, 故障预测可以及时预测设备的潜在故障, 减少事故的发生以及降低经济损失,
因此故障预测对于过程系统至关重要. 由于过程系统的复杂性以及运行数据集分布不均 …

The signal characteristics are extracted directly from the convolutional level when the
Convolutional Neural Network (CNN) is used as a fault diagnosis method in most instances …