Neural network representation of fatigue damage dynamics

Chen Jung Li, Asok Ray

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


Recently, a model of fatigue damage dynamics has been reported, which allows the damage information on critical plant components to be integrated with the plant dynamics for both on-line life prediction and off-line control synthesis. This paper proposes a neural network implementation of the fatigue damage model in order to alleviate the problem of slow computation via conventional numerical methods. The results of simulation experiments reveal that a neural network algorithm could be used as an intelligent instrument for on-line monitoring of fatigue damage and also as a tool for failure prognostics and service life prediction.

Original languageEnglish (US)
Pages (from-to)3284-3288
Number of pages5
JournalProceedings of the American Control Conference
StatePublished - Jan 1 1995
EventProceedings of the 1995 American Control Conference. Part 1 (of 6) - Seattle, WA, USA
Duration: Jun 21 1995Jun 23 1995

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


Dive into the research topics of 'Neural network representation of fatigue damage dynamics'. Together they form a unique fingerprint.

Cite this