In this paper, an innovative hybrid fault monitoring scheme integrating the manifold learning
and the isolation forest was established to monitor the state of marine diesel engine. The …

Abstract Context: As Industrial Cyber–Physical Systems (ICPS) become more connected
and widely-distributed, often operating in safety-critical environments, we require innovative …

Despite rapid advances in modeling and analysis technology, the manufacturing industry
has been slow to implement prognostic and health management strategies. A cause of this …

This paper presents the design and analysis of a methodology for detecting and isolating
multiple sensor faults in large-scale interconnected nonlinear systems. The backbone of the …

In this paper, online fault detection and isolation (FDI) of multiple faults for a hybrid
dynamical system based on partly decentralized model-based diagnosis architecture is …

Failure prognosis is used to predict the future degradation and remaining useful life (RUL) of
components. However, identification of future degradation and RUL of components is …

Fault detection and isolation (FDI) in oil pipeline systems (OPS) is a very critical issue
because faults in these systems such as leaks or equipment malfunctions may cause …

Health monitoring of current complex systems significantly impacts the total cost of the
system. Centralized fault diagnosis architectures are sometimes prohibitive for large-scale …

Distributed diagnosis is important for complex systems as a way to reduce computational
costs or for large systems that require minimizing data transfer. This paper presents a …

For the improvement of safety and efficiency, fault diagnosis becomes increasingly important
in mining industry. The expansion of flotation processes with high-tonnage cooper …