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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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Organizations and authors

Publication type

Publication format

Article

Parent publication type

Conference

Article type

Other article

Audience

Scientific

Peer-reviewed

Non Peer-Reviewed

MINEDU's publication type classification code

B3 Article in conference proceedings (non-peer-reviewed)

Publication channel information

Conference

Prognostics for Industrial Machinery Availabitity - Final Seminar

Publisher

VTT Technical Research Centre of Finland

Pages

66-85

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