Data mining applications to fault diagnosis in power electronic systems: A systematic review
A Moradzadeh, B Mohammadi-Ivatloo… - … on Power Electronics, 2021 - ieeexplore.ieee.org
Early fault detection in power electronic systems (PESs) to maintain reliability is one of the
most important issues that has been significantly addressed in recent years. In this article …
most important issues that has been significantly addressed in recent years. In this article …
Review on diagnosis techniques for intermittent faults in dynamic systems
In the past decades, with the rapid development of modern technologies, a special kind of
fault, the intermittent fault (IF) has become a serious threat to system securities. Although …
fault, the intermittent fault (IF) has become a serious threat to system securities. Although …
[图书][B] Handbook of knowledge representation
Handbook of Knowledge Representation describes the essential foundations of Knowledge
Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up …
Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up …
Answer set planning: a survey
Answer Set Planning refers to the use of Answer Set Programming (ASP) to compute plans,
that is, solutions to planning problems, that transform a given state of the world to another …
that is, solutions to planning problems, that transform a given state of the world to another …
A digital twin approach to system-level fault detection and diagnosis for improved equipment health monitoring
TN Nguyen, R Ponciroli, P Bruck, TC Esselman… - Annals of nuclear …, 2022 - Elsevier
Automating the task of fault detection and diagnosis is crucial in the effort to reduce the
operation and maintenance cost in the nuclear industry. This paper describes a physics …
operation and maintenance cost in the nuclear industry. This paper describes a physics …
[HTML][HTML] Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis
Y Xue, L Zhang, B Wang, Z Zhang, F Li - Applied Intelligence, 2018 - Springer
Feature selection can directly ascertain causes of faults by selecting useful features for fault
diagnosis, which can simplify the procedures of fault diagnosis. As an efficient feature …
diagnosis, which can simplify the procedures of fault diagnosis. As an efficient feature …
[HTML][HTML] A functional failure reasoning methodology for evaluation of conceptual system architectures
In this paper, we introduce a new methodology for reasoning about the functional failures
during early design of complex systems. The proposed approach is based on the notion that …
during early design of complex systems. The proposed approach is based on the notion that …
Possible conflicts: a compilation technique for consistency-based diagnosis
B Pulido, CA González - … Systems, Man, and Cybernetics, Part B …, 2004 - ieeexplore.ieee.org
Consistency-based diagnosis is one of the most widely used approaches to model-based
diagnosis within the artificial intelligence community. It is usually carried out through an …
diagnosis within the artificial intelligence community. It is usually carried out through an …
Conformance checking and diagnosis for declarative business process models in data-aware scenarios
A business process (BP) consists of a set of activities which are performed in coordination in
an organizational and technical environment and which jointly realize a business goal. In …
an organizational and technical environment and which jointly realize a business goal. In …
On residual-based diagnosis of physical systems
A Diedrich, O Niggemann - Engineering Applications of Artificial …, 2022 - Elsevier
In this article we describe a novel diagnosis methodology for physical systems such as
industrial production systems. The article consists of two parts: Part one analyzes the …
industrial production systems. The article consists of two parts: Part one analyzes the …