A Message Passing Algorithm for Automatic Synthesis of Probabilistic Fault Detectors from Building Automation Ontologies

Ferrari, Riccardo; Dibowski, Henrik; Baldi, Simone

doi:10.1016/j.ifacol.2017.08.809

Cited by 20 publications

(21 citation statements)

References 17 publications

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“…As demonstrated from the above discussion, the max-form presentation of the trimodal PWA system in (20) can have two different forms, (21) or (26), depending on whether the centers lie on a line or not. As demonstrated from the above discussion, the max-form presentation of the trimodal PWA system in (20) can have two different forms, (21) or (26), depending on whether the centers lie on a line or not.…”

Section: Lemma 1 For the Vectors H 1 H 2 And H 3 In (22) It Is mentioning

confidence: 93%

“…Remark 4. As demonstrated from the above discussion, the max-form presentation of the trimodal PWA system in (20) can have two different forms, (21) or (26), depending on whether the centers lie on a line or not. Once the appropriate max-form is determined, the adaptive update laws are developed in similar fashion as in the bimodal PWA system case.…”

Section: Max-form Representation Of Trimodal Pwa Systemsmentioning

confidence: 93%

“…Model-based tools focusing on the detection and identification of the partial loss of control authority in PWA systems, frequently used to model actuator faults, are studied in the works of Zhou et al 15 and Ding. A message passing algorithm for automatically propagating the effects of uncertainties in interconnected bilinear systems and derive probabilistic fault thresholds is proposed in the work of Ferrari et al 21 In the work of Bashi et al, 22 a clustering approach based on the maximized expectation algorithm is used, and it is proven to identify effectively sudden or preexisting faults into a hybrid, mixed discrete mode continuous-time state setting. An observer-based fault estimation approach for discrete PWA systems is presented in the work of Xu et al, 19 whereas Tabatabaeipour and Bak 20 provide sufficient conditions in terms of linear matrix inequalities for the input-to-state stability of the estimator.…”

Section: Introductionmentioning

confidence: 99%

“…An observer-based fault estimation approach for discrete PWA systems is presented in the work of Xu et al, 19 whereas Tabatabaeipour and Bak 20 provide sufficient conditions in terms of linear matrix inequalities for the input-to-state stability of the estimator. A message passing algorithm for automatically propagating the effects of uncertainties in interconnected bilinear systems and derive probabilistic fault thresholds is proposed in the work of Ferrari et al 21 In the work of Bashi et al, 22 a clustering approach based on the maximized expectation algorithm is used, and it is proven to identify effectively sudden or preexisting faults into a hybrid, mixed discrete mode continuous-time state setting. An online learning algorithm using a Lyapunov-based approach is carried out in the work of Trunov and Polycarpou 23 to prove robust fault detection for the case of multiple-input-multiple-output nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Fault detection and identification for a class of continuous piecewise affine systems with unknown subsystems and partitions

Moustakis

Zhou

Quang

et al. 2018

Adaptive Control & Signal

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This paper establishes a novel online fault detection and identification strategy for a class of continuous piecewise affine (PWA) systems, namely, bimodal and trimodal PWA systems. The main contributions with respect to the state-of-the-art are the recursive nature of the proposed scheme and the consideration of parametric uncertainties in both partitions and in subsystems parameters. In order to handle this situation, we recast the continuous PWA into its max-form representation and we exploit the recursive Newton-Gauss algorithm on a suitable cost function to derive the adaptive laws to estimate online the unknown subsystem parameters, the partitions, and the loss in control authority for the PWA model. The effectiveness of the proposed methodology is verified via simulations applied to the benchmark example of a wheeled mobile robot.

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Section: Lemma 1 For the Vectors H 1 H 2 And H 3 In (22) It Is mentioning

confidence: 93%

Section: Max-form Representation Of Trimodal Pwa Systemsmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fault detection and identification for a class of continuous piecewise affine systems with unknown subsystems and partitions

Moustakis

Zhou

Quang

et al. 2018

Adaptive Control & Signal

View full text Add to dashboard Cite

show abstract

“…Other researchers have also acknowledged the need for additional flexibility in the IoT paradigm and started exploiting the Building Information Model [27], [28] and enriching it with Resource Description Framework (RDF)-based information concepts from the fault diagnosis in Building Automation domain [29]. This work addresses the challenge of enabling online self-configuration of the parameters of a fault-diagnosis methodology, using the ontological models specifically for the buildings domain.…”

Section: Introductionmentioning

confidence: 99%

SEMIoTICS: Semantically Enhanced IoT-Enabled Intelligent Control Systems

Milis

Panayiotou

2019

IEEE Internet Things J.

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Abstract-In today's "smart era" there is a growing ecosystem of Internet of Things (IoT)-enabled devices, which exploit (wireless) Internet connectivity and use standard communication protocols to interact with each other and the environment. As various IoT components are becoming widely available in the marketplace, a key challenge from a feedback control viewpoint is the ability to seamlessly integrate new IoT components or modify existing configurations in feedback control settings without having to halt the operation of the system and redesign the overall feedback control scheme. This article exploits technologies from the semantic web domain, for the design of a novel Semanticallyenhanced IoT-enabled Intelligent Control Systems (SEMIoTICS) architecture. The proposed SEMIoTICS scheme incorporates a supervisor module able to facilitate the semantic modelling of IoT components and the subsequent online composition/reconfiguration of feedback control loops. We demonstrate the applicability of the SEMIoTICS architecture through illustrative scenarios from the Smart Buildings domain.

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Bridging the Gap Between Domain Ontologies for Predictive Maintenance with Machine Learning

Canito

Corchado

Marreiros

2021

Advances in Intelligent Systems and Computing

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A Message Passing Algorithm for Automatic Synthesis of Probabilistic Fault Detectors from Building Automation Ontologies

Cited by 20 publications

References 17 publications

Fault detection and identification for a class of continuous piecewise affine systems with unknown subsystems and partitions

Fault detection and identification for a class of continuous piecewise affine systems with unknown subsystems and partitions

SEMIoTICS: Semantically Enhanced IoT-Enabled Intelligent Control Systems

Bridging the Gap Between Domain Ontologies for Predictive Maintenance with Machine Learning

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