This paper presents an innovative algebraic sensor fault detection approach for surge avoidance in turbo compressors (TC) in the natural gas compressor stations (GCS). The main objective is surge avoidance in the presence of sensor faults in TC. In this way, the robust parity space approach for fault detection is extended to highly nonlinear dynamic of TC based on Groebner basis and elimination technique. No work has been previously reported on the use of this technique for nonlinear dynamic systems with parametric uncertainties. This algebraic approach is simulated on the Moore–Greitzer control oriented model in the presence of parametric uncertainties, disturbances, and sensor faults. Simulation results are presented to demonstrate the effectiveness of the proposed fault detection approach.
An Algebraic Approach to Fault Detection for Surge Avoidance in Turbo Compressor
Contributed by the Turbomachinery Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received February 17, 2014; final manuscript received June 29, 2014; published online September 16, 2014. Editor: David Wisler.
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Alavinia, S. M., Khosrowjerdi, M. J., Sadrnia, M. A., Kheiri, H., and Fateh, M. M. (September 16, 2014). "An Algebraic Approach to Fault Detection for Surge Avoidance in Turbo Compressor." ASME. J. Eng. Gas Turbines Power. February 2015; 137(2): 022601. https://doi.org/10.1115/1.4028370
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