Results 11 to 20 of about 297,161 (352)

A note on fault diagnosis algorithms [PDF]

open access: yesProceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009
In this paper we review algorithms for checking diagnosability of discrete-event systems and timed automata. We point out that the diagnosability problems in both cases reduce to the emptiness problem for (timed) B chi automata. Moreover, it is known that, checking whether a discrete-event system is diagnosable, can also be reduced to checking bounded
Cassez, Franck
openaire   +10 more sources

Fault-diagnosis of grid structures

open access: bronzeTheoretical Computer Science, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Antonio Caruso   +3 more
openalex   +7 more sources

Learning multiple fault diagnosis [PDF]

open access: green, 2002
This paper describes two methods for integrating model-based diagnosis (MBD) and explanation-based learning. The first method (EBL) uses a generate-test-debug paradigm, generating diagnostic hypotheses using learned associational rules that summarize ...
Yousri El Fattah, Paul O’Rorke
openalex   +3 more sources

Analog fault diagnosis: a fault clustering approach [PDF]

open access: greenProceedings ETC 93 Third European Test Conference, 2002
A novel analog circuit fault diagnosis method is proposed. This method uses a neural network paradigm to cluster different faults. It is capable of dealing with the common fault models in analog circuits, namely the catastrophic and parametric faults. The proposed technique is independent of the linearity or nonlinearity of the circuit.
Sangeetha Somayajula   +2 more
openalex   +4 more sources

Sensor Fault Diagnosis [PDF]

open access: yesFoundations and Trends® in Systems and Control, 2016
This tutorial investigates the problem of the occurrence of multiple faults in the sensors used to monitor and control a network of cyberphysical systems. The goal is to formulate a general methodology, which will be used for designing sensor fault diagnosis schemes with emphasis on the isolation of multiple sensor faults, and for analyzing the ...
Reppa, Vasso   +5 more
openaire   +5 more sources

Optimization of satellite resource scheduling under regional target coverage conditions

open access: yesOpen Astronomy, 2022
This study presented a mathematical description of an arbitrary shape area, and after analyzing the characteristics of the near-polar orbital co-ground trajectory constellation that satisfies the revisit interval constraint, an optimization model of the ...
Liu Kaixi   +5 more
doaj   +1 more source

Experimental study of the effect of fallen leaf shading on the polarization characteristics of photovoltaic modules

open access: yesSN Applied Sciences, 2023
Coverings have an important impact on the output and safety of photovoltaic (PV) modules. However, due to the complex on-site environment and difficult identification, it is difficult to obtain timely and effective cleaning.
Darong Zhu   +5 more
doaj   +1 more source

Diagnosis of Intermittent Faults [PDF]

open access: yesDiscrete Event Dynamic Systems, 2004
Discrete event systems (DESs) are considered for which faulty behaviour occurs ``intermittently'', with fault events \(f_i\), \(i=1,\dots,m\), followed by reset events \(r_i\), \(i=1,\dots,m\), followed by new occurrences of fault events, and so forth.
Contant, Olivier   +2 more
openaire   +4 more sources

A Novel Monitoring Strategy Combining the Advantages of NPE and GMM

open access: yesIEEE Access, 2020
Semiconductor manufacturing process data usually have multimodel and multiphase characteristics which do not meet the application assumptions in neighborhood preserving embedding (NPE).
Cheng Zhang   +3 more
doaj   +1 more source

Fault Detection in the Tennessee Eastman Benchmark Process Using Principal Component Difference Based on K-Nearest Neighbors

open access: yesIEEE Access, 2020
Industrial data usually have nonlinear or multimodal characteristics which do not meet the data assumptions of statistics in principal component analysis (PCA). Therefore, PCA has a lower fault detection rate in industrial processes.
Cheng Zhang, Qingxiu Guo, Yuan Li
doaj   +1 more source

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