Multisensor switching control strategy with fault tolerance guarantees

Serón, María M.; Zhuo, Xiang W.; Doná, José A. De; Martínez, John J.

doi:10.1016/j.automatica.2007.05.024

Cited by 118 publications

(130 citation statements)

References 13 publications

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“…In the process, error signals resulting in false alarms may appear with a certain probability [17]. One approach to solve this problem is presented under the assumption that the deviation in theory can be made prior to the execution of threshold functions and Kalman filters of the experiment, as opposed to being made while the experiment is in progress.…”

Section: Multisensor Fusion Schemementioning

confidence: 99%

A Hazardous Chemical-Oriented Monitoring and Tracking System Based on Sensor Network

Tan

Zhang

et al. 2014

International Journal of Distributed Sensor Networks

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We present a monitoring and tracking system for storage and transportation of chemicals. In accord with the standards and regulations of transport vehicles for hazardous chemicals, an overall structure-function diagram for vehicle monitoring and a prewarning system were proposed by integrating various technologies such as computer modeling, control theory, multisensor data fusion, communication science, space positioning, and safety management science. Transportation experiments performed on sea and land demonstrated that the monitoring and tracking system is feasible with high precision, in which an amount of system state data was collected by different kinds of sensors group. Once sensor-derived signals were detected, the signals would be fused and transmitted to the master monitor center via a high precision and large-scale wireless communication network. The designed tracking and localizing system displayed good monitoring ability and adequately satisfied technical requirements.

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Section: Multisensor Fusion Schemementioning

confidence: 99%

A Hazardous Chemical-Oriented Monitoring and Tracking System Based on Sensor Network

Tan

Zhang

et al. 2014

International Journal of Distributed Sensor Networks

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“…The subsystems, which describe the polytopic system, are assumed to be stable in presence of bounded disturbances and, in addition, to share a common Lyapunov function. Polyhedral RPI sets for linear systems (assuming constant α) could be also computed using methods such as those proposed in [11], [7], [12] and [9]. Figure 5 depicts the obtained RPI sets for the maximal values of the contact quality coefficient α (i.e.…”

Section: Invariant Sets For Detecting Deteriorationmentioning

confidence: 99%

“…In terms of the deterioration index D, equation (12) can be rewritten in a relative form as follows:…”

Section: Dynamical Model Of Deteriorationmentioning

confidence: 99%

Set-invariance analysis for deterioration prediction on a roller-on-tire actuator

Rodriguez-Obando

Martínez

Bérenguer

2016

2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)

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Abstract-The paper deals with the problem of predicting deterioration of a roller-on-tire actuator in presence of unpredictable but bounded motor torques. Set-invariance is used to characterize the nominal behavior of the actuator and the maximal admissible deterioration behavior. A novel index of deterioration is presented and allows to model the mechanical actuator as a polytopic Linear Parameter Varying model. For a given initial deterioration, the probabilistic certification approach is used to numerically predict an interval of "expected time" for reaching the total outage of the actuator. A simulated example illustrates the interest of the proposed approach and its potential integration on future predictive maintenance techniques.

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“…For a review of set-membership approaches see Puig (2010) and Ingimundarson, Bravo, Puig, Alamo, and Guerra (2009). Relevant to this line of research are the methods in Olaru, De Doná, and Seron (2010) and Seron, Zhou, De Doná, and Martinez (2008) where positive invariant sets are used to obtain a set characterisation of faulty and healthy behaviour of residual signals. The advantage of these methods is that the online computation of sets is avoided.…”

Section: Introductionmentioning

confidence: 99%

Active fault detection and isolation of discrete-time linear time-varying systems: a set-membership approach

Tabatabaeipour

2013

International Journal of Systems Science

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Link back to DTU OrbitCitation (APA): Tabatabaeipour, M. (2013). Active fault detection and isolation of discrete-time linear time-varying systems: a set-membership approach. International Journal of Systems Science. DOI: 10.1080DOI: 10. /00207721.2013 This article was downloaded by: [ PLEASE SCROLL DOWN FOR ARTICLETaylor & Francis makes every effort to ensure the accuracy of all the information (the "Content") contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content. This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden. Terms & Conditions of access and use can be found at http:// www.tandfonline.com/page/terms-and-conditions Active fault detection and isolation (AFDI) is used for detection and isolation of faults that are hidden in the normal operation because of a low excitation signal or due to the regulatory actions of the controller. In this paper, a new AFDI method based on set-membership approaches is proposed. In set-membership approaches, instead of a point-wise estimation of the states, a set-valued estimation of them is computed. If this set becomes empty the given model of the system is not consistent with the measurements. Therefore, the model is falsified. When more than one model of the system remains un-falsified, the AFDI method is used to generate an auxiliary signal that is injected into the system for detection and isolation of faults that remain otherwise hidden or non-isolated using passive FDI (PFDI) methods. Having the set-valued estimation of the states for each model, the proposed AFDI method finds an optimal input signal that guarantees FDI in a finite time horizon. The input signal is updated at each iteration in a decreasing receding horizon manner based on the set-valued estimation of the current states and un-falsified models at the current sample time. The problem is solved by a number of linear and quadratic programming problems, which result in a computationally efficient algorithm. The method is tested on a numerical example as well as on the pitch actuator of a benchmark wind turbine.

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Multisensor switching control strategy with fault tolerance guarantees

Cited by 118 publications

References 13 publications

A Hazardous Chemical-Oriented Monitoring and Tracking System Based on Sensor Network

A Hazardous Chemical-Oriented Monitoring and Tracking System Based on Sensor Network

Set-invariance analysis for deterioration prediction on a roller-on-tire actuator

Active fault detection and isolation of discrete-time linear time-varying systems: a set-membership approach

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