Online Condition Monitoring Tool for Automated Machinery
OPEN ACCESS
Author / Producer
Date
2017
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
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Data
Abstract
In order to increase machinery resource, energy and time efficiency, Condition Monitoring (CM) offers a wide set of beneficial tools. Those tools can basically be segmented in maintenance improvements or the optimization of process parameters. CM requires data input from a component, which is then analyzed using data based or physical models, which return an estimate of the component_s current condition. The use of high quality sensors in a stable laboratory environment generally leads to an overemphasizing of the results which CM systems achieve in an industrial environment. Additionally, the installation of sensors is not always economically feasible for low-cost machinery. To overcome this, the CM system which is presented in this paper uses data, which is usually present in the PLC, as a consequence thereof, the data quality is significantly lower compared to dedicated sensor equipment. A real production machinery is further used to demonstrate the capabilities of condition monitoring in an industrial environment. The data driven CM process, which is used in this application example is compared to a model driven approach, conducted on a test equipment machine.
Permanent link
Publication status
published
External links
Book title
16th CIRP Conference on Modelling of Machining Operations
Journal / series
Volume
58
Pages / Article No.
323 - 328
Publisher
Elsevier
Event
16th CIRP Conference on Modeling of Machining Operations (CIRP CMMO 2017)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Monitoring; Diagnostics; Optimisation of Machining Processes
Organisational unit
03641 - Wegener, Konrad (emeritus) / Wegener, Konrad (emeritus)
08844 - Kunz, Andreas (Tit.-Prof.) / Kunz, Andreas (Tit.-Prof.)