This article reviews the current research on the development and implementation of
automated fault detection and diagnostics (AFDD) technology for building systems. This …

Leak detection in pipelines has been a prevalent issue for several decades. Pipeline leaks
from sources such as small cracks and pinholes are termed chronic leaks, as they have the …

The belief rule-base (BRB) model is a new intelligent expert system with the characteristics
of both expert system and data-driven model. In BRB there are many if-then rules which use …

As the generalization of fuzzy systems, the belief rule base (BRB) expert system is
transparent and interpretable. However, the interpretability of BRB has almost been ignored …

Classification tasks are of great importance in machine learning. However, class imbalance
is a universal problem that needs to be solved in classification and can greatly affect the …

Health assessment is important for the safe and reliable operation of lithium-ion battery.
However, there exist two typical issues in existing health assessment models for lithium-ion …

Belief rule base (BRB) expert system has been widely used in complex system modeling.
Robustness is crucial to the modeling performance and safety of BRB. For a better …

This paper proposes a new belief rule-based (BRB) expert system for fault diagnosis of
marine diesel engines. The expert system is the first of its kind that consists of multiple …

Expert knowledge is the foundation of the interpretability of belief rule base (BRB) expert
system. However, the rule explosion problem and weak extendability of BRB limit the …

Belief rule base (BRB) expert system has been widely used in complex system modeling.
Readability and consistency are the primary characteristics and advantages of BRB …