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Title:

Deep Learning-Based Approaches for Fault Detection in Disc Mower

Document type:
Konferenzbeitrag
Author(s):
Stroescu, Victor-Constantin; Olcay, Ertug
Abstract:
With the availability of sensor data and increased processing power, data-driven approaches have been widely investigated to improve various production processes. It is easier to keep track of faults that are hard to perceive during an operation through data-driven conditionmonitoring systems. In addition, the operator or the supervisor of the processes can recognize the need for service in time and provide maintenance. A defect in agricultural machinery can reduce the quality of fieldwork notic...     »
Keywords:
Condition monitoring deep learning agricultural machinery
Congress title:
11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2022
Journal title:
IFAC-PapersOnLine
Year:
2022
Journal volume:
55
Journal issue:
6
Pages contribution:
217-221
Fulltext / DOI:
doi:10.1016/j.ifacol.2022.07.132
Publisher:
Elsevier BV
E-ISSN:
2405-8963
Date of publication:
01.01.2022
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