2014
DOI: 10.1115/1.4026610
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Robust Fault Detection to Determine Compressor Surge Point Via Dynamic Neural Network-Based Subspace Identification Technique

Abstract: In this paper, a dynamic neural network (DNN) based on robust identification scheme is presented to determine compressor surge point accurately using sensor fault detection (FD). The main innovation of this paper is to present different and complementary technique for surge suppressing studies within sensor FD. The proposed method aims to utilize the embedded analytical redundancies for sensor FD, even in the presence of uncertainty in the compressor and sensor noise. The robust dynamic neural network is devel… Show more

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“…The model parameters are not included here, and for more details about the Moore-Greitzer and its parameters, the interested reader is referred to Refs. [26][27][28][29].…”
Section: Moore-greitzer Model and Surge Phenomenonmentioning
confidence: 99%
“…The model parameters are not included here, and for more details about the Moore-Greitzer and its parameters, the interested reader is referred to Refs. [26][27][28][29].…”
Section: Moore-greitzer Model and Surge Phenomenonmentioning
confidence: 99%