Application of machine learning algorithms on the multi-feature multi-classification problem - in the case of a hydraulic system

Nowadays, the complex machinery system is getting more complex due to its structure and components. Identifying the status of components so that the proper maintenance can be arranged in advance has become an essential and challenging issue. In order to find a more suitable algorithm to solve the mu...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Liang, Yun-Chia, Zhan, Xin
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Classification Decision trees Fault diagnosis Hydraulic equipment Hydraulics Machine learning Neural networks Support vector machines
Online-Zugang:	Volltext
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