Research on the fault monitoring method of marine diesel engines based on the manifold learning and isolation forest
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 …
and the isolation forest was established to monitor the state of marine diesel engine. The …
Finding faults: A scoping study of fault diagnostics for Industrial Cyber–Physical Systems
Abstract Context: As Industrial Cyber–Physical Systems (ICPS) become more connected
and widely-distributed, often operating in safety-critical environments, we require innovative …
and widely-distributed, often operating in safety-critical environments, we require innovative …
A digital twin framework for prognostics and health management
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 …
has been slow to implement prognostic and health management strategies. A cause of this …
Decentralized isolation of multiple sensor faults in large-scale interconnected nonlinear systems
V Reppa, MM Polycarpou… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
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 …
multiple sensor faults in large-scale interconnected nonlinear systems. The backbone of the …
Model-based diagnosis of multiple faults in hybrid dynamical systems with dynamically updated parameters
O Prakash, AK Samantaray… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …
dynamical system based on partly decentralized model-based diagnosis architecture is …
Prognosis of dynamical system components with varying degradation patterns using model–data–fusion
O Prakash, AK Samantaray - Reliability Engineering & System Safety, 2021 - Elsevier
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 …
components. However, identification of future degradation and RUL of components is …
Distributed fault detection and isolation approach for oil pipelines
G Pérez-Zuñiga, J Sotomayor-Moriano… - Applied Sciences, 2021 - mdpi.com
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 …
because faults in these systems such as leaks or equipment malfunctions may cause …
Near-optimal decentralized diagnosis via structural analysis
G Perez-Zuniga, E Chanthery… - … on Systems, Man …, 2022 - ieeexplore.ieee.org
Health monitoring of current complex systems significantly impacts the total cost of the
system. Centralized fault diagnosis architectures are sometimes prohibitive for large-scale …
system. Centralized fault diagnosis architectures are sometimes prohibitive for large-scale …
Fault-driven structural diagnosis approach in a distributed context
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 …
costs or for large systems that require minimizing data transfer. This paper presents a …
Flotation process fault diagnosis via structural analysis
CG Pérez-Zuñiga, J Sotomayor-Moriano… - IFAC-PapersOnLine, 2019 - Elsevier
For the improvement of safety and efficiency, fault diagnosis becomes increasingly important
in mining industry. The expansion of flotation processes with high-tonnage cooper …
in mining industry. The expansion of flotation processes with high-tonnage cooper …