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An embedded sensor validation system for adaptive condition monitoring of a wind farms

Authors: Nikolaos Bartzoudis; Klaus D. McDonald-Maier;

An embedded sensor validation system for adaptive condition monitoring of a wind farms

Abstract

Sensor validation plays a key role in automatic control and online monitoring of complex systems, ensuring high performance and guaranteeing safety. Even in cases of safe industrial processes, the unreliability of sensor measurements may lead to a degraded performance and a reduced system yield. It is therefore both economical and essential to validate the credibility of sensor measurements. Timely detection and accurate diagnosis of actual, or even impending, sensor failures enable appropriate remedial actions to be taken, such as rescheduling of maintenance, reconfiguration of corrupted control loops or initialization of emergency shutdown. This paper presents a sensor validation coprocessing element, which is being developed in a FPGA- based processing node. The goal of the processing node is to provide adaptive conditioning monitoring, for a sensor network operating within a wind farm.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average