Maintenance planning is a significant part of predictive maintenance, which involves task
planning, resource scheduling, and prevention. With large-scale sensor systems in modern …

In the manufacturing industry, a hydraulic system harnesses liquid fluid power to create
powerful machines. Under the trend of Industry 4.0, the predictive maintenance of hydraulic …

Modern supply chains are complex, interconnected systems that contain emergent, invisible
dependencies. Lack of visibility often hinders effective risk planning and results in delayed …

Fault diagnosis is the key concern in the operation and maintenance of industrial assets. A
fault diagnosis knowledge graph (KG) can provide decision support to the engineers to …

Drawing lessons from past accidents is an essential way to improve the operational safety of
railways. Various railway operational accidents and their related hazards constitute a …

With the development of a new generation of information technology, such as big data and
cognitive intelligence, we are in the postmodern era of artificial intelligence. Currently, the …

Knowledge graphs (KGs) have gradually become valuable assets for many AI applications.
In a KG, a node denotes an entity, and an edge (or link) denotes a relationship between the …

Abstract Predictive Maintenance (PdM) has continually attracted interest from the
manufacturing community due to its significant potential in reducing unexpected machine …

Knowledge graph completion (KGC) is a hot topic in knowledge graph construction and
related applications, which aims to complete the structure of knowledge graph by predicting …

Accurate retrieval of the power equipment information plays an important role in guiding the
full-lifecycle management of power system assets. Because of data duplication, database …