Structural analysis, a model-based fault diagnosis approach, has been extensively
highlighted since it does not depend on an exact analytical system model. The structural …

A data-driven diagnosis system is developed for fault diagnosis of a fuel injection system in
a heavy-duty diesel truck. Physical insights and standard component modeling are used to …

This paper presents an online data and knowledge based diagnosis method. It leverages
decision trees in which decisions are made based on diagnosis meta knowledge, namely …

Cyber-physical systems are a class of technical systems that integrate mechanical
components with intelligent, adaptable control devices and software. Nowadays, this …

Data-driven modeling and machine learning have received a lot of attention in fault
diagnosis and system monitoring research. Since faults are rare events, conventional multi …

Data-driven fault diagnosis of technical systems use training data from nominal and faulty
operation to train machine learning models to detect and classify faults. However, data …

Hybrid diagnosis systems combine model-based and data-driven methods to leverage their
respective strengths and mitigate individual weaknesses in fault diagnosis. This paper …

This paper presents an online data and knowledge-based diagnosis method. It leverages
decision trees where decisions are informed by diagnosis meta knowledge, specifically …

A data-driven diagnosis system is developed for fault diagnosis of a fuel injection system in
a heavy-duty diesel truck. Physical insights and standard component modeling are used to …