Carbon capture, utilization, and sequestration (CCUS) is a promising solution to
decarbonize the energy and industrial sectors to mitigate climate change. An integrated …

A viral outbreak is a global challenge that affects public health and safety. The coronavirus
disease 2019 (COVID-19) has been spreading globally, affecting millions of people …

Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials,
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …

In recent years, deep learning based bearing fault diagnosis is develo** rapidly due to the
increasing amount of industrial data. However, two major issues limit the application for …

This paper presents a comprehensive review of the historical development, the current state
of the art, and prospects of data-driven approaches for industrial process monitoring. The …

The complexity of industrial processes imposes a lot of challenges in building accurate and
representative causal models for abnormal events diagnosis, control and maintenance of …

The power transformer analysis focused internal fault identification is important for the
energy efficiency in all the countries, the partial discharge is one of the main failure modes, it …

Data‐driven fault detection and diagnosis (FDD) methods, referring to the newer generation
of artificial intelligence (AI) empowered classification methods, such as data science …

Maritime logistics, which accounts for around 80% of international trade around the world,
has been a driving force for economic growth. Increases in maritime traffic, however, lead to …

To solve the problem of nonlinear factors in the fault detection process of complex systems,
this article proposes a fault detection model based on vector quantization sparse …