In the work presented in this paper Statistical Process control (SPC) techniques are applied to a model-based Fault Detection and Isolation (FDI) approach. The residuals, produced as outputs from the FDI system, are m...
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In the work presented in this paper Statistical Process control (SPC) techniques are applied to a model-based Fault Detection and Isolation (FDI) approach. The residuals, produced as outputs from the FDI system, are manipulated with typical SPC charts to improve the overall diagnosis process. The charts explained in this work: Shewhart control chart, Cumulative Sum (CUSUM) control chart and Exponentially Weighted Moving Average (EWMA) charts are able to accurately determine significant deviations in the residuals. The integration of model-based tools with SPC supervision can be a step towards robustness and effectiveness in fault detection. This scheme reduces the number of false alarms, which is an important aspect in FDI tasks, and can reduce the fault isolation time. This approach has been applied to a laboratory plant with real data, obtaining interesting results.
We study the existence of absolutely maximally entangled (AME) states in quantum mechanics and its applications to quantum information. AME states are characterized by being maximally entangled for all bipartitions of...
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We study the existence of absolutely maximally entangled (AME) states in quantum mechanics and its applications to quantum information. AME states are characterized by being maximally entangled for all bipartitions of the system and exhibit genuine multipartite entanglement. With such states, we present a parallel teleportation protocol which teleports multiple quantum states between groups of senders and receivers. The notable features of this protocol are that (i) the partition into senders and receivers can be chosen after the state has been distributed, and (ii) one group has to perform joint quantum operations while the parties of the other group only have to act locally on their system. We also prove the equivalence between pure state quantum secret sharing schemes and AME states with an even number of parties.
Earlier investigations show that the results of hazard identification (HAZID) and analysis (e.g. HAZOP or FMEA) can effectively be used for knowledge-based diagnosis of complex process systems in their steady-state op...
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This work presents a novel parameter estimation approach for system modelling based on model decomposition. This approach uses Possible Conflicts to decompose the system model into minimal submodels that are used to o...
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ISBN:
(纸本)9781612848006
This work presents a novel parameter estimation approach for system modelling based on model decomposition. This approach uses Possible Conflicts to decompose the system model into minimal submodels that are used to obtain minimal parameter estimators for non-faulty situations. A laboratory plant was used to test the approach. The results obtained were compared against two classical parameter estimation techniques, the SQP optimization method and a curve-fitting approach using non-linear least squares. Both classical approaches use the global simulation model of the plant to carry out the optimization. The properties of the three techniques are presented and discussed. The developed parameter estimation approach improves the results obtained with the cited classical approaches.
Neutrophils must be removed from inflammatory sites for inflammation to resolve. Recent work in zebrafish has shown neutrophils can migrate away from inflammatory sites, as well as die in situ. The signals regulating ...
This work proposed an improvement for the visual odometry based on a new hardware design concept. Generally, a visual odometry system relies on one stereo camera to detect the 3D features which are used as input for t...
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This work proposed an improvement for the visual odometry based on a new hardware design concept. Generally, a visual odometry system relies on one stereo camera to detect the 3D features which are used as input for the ego motion estimation process. However, such design usually faced with the motion ambiguity problem resulting in poor estimation of the ego motion. The proposed multi-camera system solves this problem using an intuitive hardware design that enables a simple yet effective way to eliminate the motion ambiguity problems. Experiment results show that the proposed system yields better ego motion estimation compared to the conventional single camera system.
In this paper, we study the real controllability radius of higher-order linear time-invariant (LTI) systems, LTI descriptor systems, and time-delay LTI systems. The various radii are defined in terms of real parametri...
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A novel subspace learning algorithm named neighborhood discriminant nearest feature line analysis (NDNFLA) is proposed in this paper. NDNFLA aims to find the discriminant feature of samples by maximizing the between-c...
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This paper investigates the problem of obtaining a state-space model of the disturbance evolution that precedes turbulent flow and the associated increase in skin-friction drag on aircraft surfaces. This problem is hi...
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A dynamical system can exhibit structure on multiple levels. Different system representations can capture different elements of a dynamical system's structure. We consider LTI input-output dynamical systems and pr...
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