Validity-Based Failure Algebra for Distributed Sensor Systems

Brade, Tino; Zug, Sebastian; Kaiser, Jörg

doi:10.1109/srds.2013.23

Cited by 19 publications

(7 citation statements)

References 19 publications

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“…The quantification of the impact of measurement errors in different application contexts in general distributed systems received increasing attention in the last few years. As one example of relevant research, measurement errors at the sensor may propagate through the whole computation chain, see, e.g., [ 12 ] for work characterizing such errors and their impact. Specifically in energy grids, recent work addressed how to handle heterogeneous and noisy measurements in the context of grid estimation [ 13 , 14 , 15 ].…”

Section: Related Workmentioning

confidence: 99%

On the Calculation of Time Alignment Errors in Data Management Platforms for Distribution Grid Data

Schwefel

Antonios

Lipsky

2021

Sensors

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The operation and planning of distribution grids require the joint processing of measurements from different grid locations. Since measurement devices in low- and medium-voltage grids lack precise clock synchronization, it is important for data management platforms of distribution system operators to be able to account for the impact of nonideal clocks on measurement data. This paper formally introduces a metric termed Additive Alignment Error to capture the impact of misaligned averaging intervals of electrical measurements. A trace-driven approach for retrieval of this metric would be computationally costly for measurement devices, and therefore, it requires an online estimation procedure in the data collection platform. To overcome the need of transmission of high-resolution measurement data, this paper proposes and assesses an extension of a Markov-modulated process to model electrical traces, from which a closed-form matrix analytic formula for the Additive Alignment Error is derived. A trace-driven assessment confirms the accuracy of the model-based approach. In addition, the paper describes practical settings where the model can be utilized in data management platforms with significant reductions in computational demands on measurement devices.

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Section: Related Workmentioning

confidence: 99%

On the Calculation of Time Alignment Errors in Data Management Platforms for Distribution Grid Data

Schwefel

Antonios

Lipsky

2021

Sensors

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“…Considering not only a specific type of depth cameras, but the most commonly used types (triangulation- based using structured light, triangulation-based using stereo vision, time-of-flight), Höbel et al [ 24 ] aim not only at defining a general failure model for depth cameras, but also at using it to apply the Validity Concept [ 31 ] to this sensor type. With this motivation, works on error sources of depth cameras are reviewed in order to define a failure model comprising Noise, Outlier, Offset, Illumination Artifact and Gap failure types.…”

Section: State Of the Art On Sensor Failure Modelingmentioning

confidence: 99%

Generic Sensor Failure Modeling for Cooperative Systems

Jäger

Zug

Casimiro

2018

Sensors

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The advent of cooperative systems entails a dynamic composition of their components. As this contrasts current, statically composed systems, new approaches for maintaining their safety are required. In that endeavor, we propose an integration step that evaluates the failure model of shared information in relation to an application’s fault tolerance and thereby promises maintainability of such system’s safety. However, it also poses new requirements on failure models, which are not fulfilled by state-of-the-art approaches. Consequently, this work presents a mathematically defined generic failure model as well as a processing chain for automatically extracting such failure models from empirical data. By examining data of an Sharp GP2D12 distance sensor, we show that the generic failure model not only fulfills the predefined requirements, but also models failure characteristics appropriately when compared to traditional techniques.

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“…A similar adjustment of the control algorithm has to can be made when it becomes impossible to achieve timely communication or timely consensus among cooperative entities (within assumed bounds). The KARYON project also aims at defining methods and solutions for evaluating the quality of sensor data [4], but this is outside the scope of this paper.…”

Section: B Level Of Servicementioning

confidence: 99%

A kernel-based architecture for safe cooperative vehicular functions

Casimiro

Rufino

Pinto

et al. 2014

Proceedings of the 9th IEEE International Symposium on Industrial Embedded Systems (SIES 2014)

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Future vehicular systems will be able to cooperate in order to perform many functions in a more effective and efficient way. However, achieving predictable and safe coordination of vehicles that autonomously cooperate in open and uncertain environments is a challenging task. Traditional solutions for achieving safety either impose restrictions on performance or require costly resources to deal with the worst case situations. In this paper, we describe a generic architectural pattern that addresses this problem. We consider that cooperative functions can be executed with multiple levels of service, and we rely on a safety kernel to manage the service level in run-time. A set of safety rules defined in design-time determine conditions under which the cooperative function can be performed safely in each level of service. The paper provides details of our implementation of this safety kernel, covering both hardware and software aspects. It also presents an example application of the proposed solutions in the development of a demonstrator using scaled vehicles.

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Validity-Based Failure Algebra for Distributed Sensor Systems

Cited by 19 publications

References 19 publications

On the Calculation of Time Alignment Errors in Data Management Platforms for Distribution Grid Data

On the Calculation of Time Alignment Errors in Data Management Platforms for Distribution Grid Data

Generic Sensor Failure Modeling for Cooperative Systems

A kernel-based architecture for safe cooperative vehicular functions

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