Application of selected classification schemes for fault diagnosis of actuator systems

Author

Kalisch, Mateusz ; Przystalka, Piotr ; Timofiejczuk, Anna

Author_Institution

Inst. of Fundamentals of Machinery Design, Silesian Univ. of Technol., Gliwice, Poland

fYear

2014

fDate

7-10 Sept. 2014

Firstpage

1381

Lastpage

1390

Abstract

The paper presents the application of various classification schemes for actuator fault diagnosis in industrial systems. The main objective of this study is to compare either single or meta-classification strategies that can be successfully used as reasoning means in off-line as well as on-line diagnostic expert systems. The applied research was conducted on the assumption that only classic and well-practised classification methods would be adopted. The comparison study was carried out within the DAMADICS benchmark problem which provides a popular framework for confronting different approaches in the development of fault diagnosis systems.

Keywords

actuators; control engineering computing; diagnostic expert systems; fault diagnosis; manufacturing systems; pattern classification; production engineering computing; DAMADICS benchmark problem; actuator fault diagnosis systems; classification schemes; industrial systems; meta-classification strategies; off-line diagnostic expert systems; on-line diagnostic expert systems; reasoning means; Actuators; Benchmark testing; Computational modeling; Decision trees; Fault detection; Fault diagnosis; Valves;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on

Conference_Location

Warsaw

Type

conf

DOI

10.15439/2014F158

Filename

6933179