Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a
large number of domains, including railways. In this paper, we present a systematic literature …

The current electric power system witnesses a significant transition into Smart Grids (SG) as
a promising landscape for high grid reliability and efficient energy management. This …

Process fault detection and diagnosis (FDD) is a predominant task to ensure product quality
and process reliability in modern industrial systems. Those traditional FDD techniques are …

Health monitor of bogie-bearing on the train can ensure constant operation of the rail transit
system. Since the metro or other rail transit have high safety requirements, it is hard to …

As the key equipment for train operation, the switch machine plays a vital role in the safe and
punctual operation of the trains. Nowadays, the fault diagnosis methods of switch machine …

The industrial advancement has promoted the development of deep learning (DL)-based
intelligent fault diagnosis methods for condition-based maintenance (CBM). Though these …

Improving transportation efficiency is an eternal research hotspot in rail transit system. In
recent years, the train operation control method based on virtual coupling has attracted the …

Realizing the accurate fault diagnosis of high-speed train (HST) bogie is of great
significance for ensuring the safe operation of HSTs. This article proposes a novel fault …

In rail transit systems, improving transportation efficiency has become a research hotspot. In
recent years, a new method of train control system based on virtual coupling has attracted …

Over the past few years, the computer vision domain has evolved and made a revolutionary
transition from human-engineered features to automated features to address challenging …