An approach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networks

Journal article

Peer reviewed

VAN TUNG Tran, Faisal Althobiani and Andrew Ball

Expert systems with applications, Vol.41(9), pp.4113-4122

01/07/2014

Abstract

Applied sciences

Artificial intelligence

Computer science; control theory; systems

Connectionism. Neural networks

Detection, estimation, filtering, equalization, prediction

Exact sciences and technology

General

Industrial metrology. Testing

Information, signal and communications theory

Mechanical engineering. Machine design

Signal and communications theory

Signal, noise

Telecommunications and information theory

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Title: An approach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networks
Creators - without role: VAN TUNG Tran - University of Huddersfield
Faisal Althobiani - University of Huddersfield
Andrew Ball - University of Huddersfield
Publication Details: Expert systems with applications, Vol.41(9), pp.4113-4122
Publisher: Elsevier
Identifiers: 9936279708331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Journal article