Condition monitoring of industrial robots and concept for prognostics
Year of publication
2006
Authors
Halme, Jari
Abstract
In this paper the basics of robotics and its condition monitoring as well as general, conceptual level prognostics is discussed. The focus of prognostics is on statistical methods without direct connection to robotics. The operational state at the robots is typically non-constant since in practice there are no constant states available. For non-constant time series, like this, the usage of data segmentation and overlapping method grabs better the part of the data that should be analysed. The process performance itself can be monitored with enveloped vibration based resemblance of the process path. The prognostic concept is based on statistical review of available maintenance data. The future reliability of a component can be estimated with the demonstrated concept. The concept was done on a Windows Excel spreadsheet.
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Publication type
Publication format
Article
Parent publication type
Conference
Article type
Other article
Audience
ScientificPeer-reviewed
Non Peer-ReviewedMINEDU's publication type classification code
B3 Article in conference proceedings (non-peer-reviewed)Publication channel information
Parent publication name
Prognostics for industrial machinery availability: Final seminar
Conference
Prognostics for Industrial Machinery Availabitity - Final Seminar
Publisher
VTT Technical Research Centre of Finland
Pages
66-85
ISBN
Open access
Open access in the publisher’s service
Yes
License of the publisher’s version
Other license
Self-archived
No
Other information
Language
English
International co-publication
No
Co-publication with a company
No
The publication is included in the Ministry of Education and Culture’s Publication data collection
No