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Volker Plapper

dblp:67/142 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2001
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems › industrial control systems
condition monitoring
0.012001
Sensorless Machine Tool Condition Monitoring based on open NCs · ICRA 2001
Embedded and real-time systems › industrial control systems › manufacturing system control
computer numerical control
0.012001
Sensorless Machine Tool Condition Monitoring based on open NCs · ICRA 2001
Embedded and real-time systems
industrial control systems
0.012001
Sensorless Machine Tool Condition Monitoring based on open NCs · ICRA 2001

Methods — techniques the papers use, named apart from their topics

drive signal analysis · 0.0
YearPublicationVenuePosition
2001 Sensorless Machine Tool Condition Monitoring based on open NCs
abstract
Monitoring the state of mechanical machine tool components is of growing importance for increasing machine tool availability and reducing inspection efforts and costs. Open numerical controls offer a new opportunity for getting access to signals of drives as well as of the control itself and to integrate the end-user's individual applications. Because the actual drive signals contain information on the mechanical behaviour of the drive chain components, their use for condition monitoring mechanical drive components is a reliable and cost effective approach. The paper presents a new approach on using digital drive signals for a control integrated condition monitoring system to monitor typical disturbances like backlash and pittings on guideways.
Volker Plapper, Manfred Weck
ICRA1