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RISS 인기검색어
- 검색키워드
- 저자 : Yunpeng Cao (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
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A strong tracking filter based multiple model approach for gas turbine fault diagnosis
Qingcai Yang,Shuying Li,Yunpeng Cao 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.1
In this paper, a nonlinear Fault detection and isolation (FDI) based on an improved Multiple model (MM) approach was proposed for the gas turbine engine. A bank of Strong tracking extended Kalman filters (STEKFs) was designed that enables robustness to model uncertainty and overcomes the shortcoming of the MM approach. The Jacobian matrix used in the filters was deduced by using the nonequilibrium analytic linearization method to improve the traditional method. Hierarchical fault detection and isolation architecture based on evaluating the maximum probability criteria were developed for both single and multiple faults. In addition, a nonlinear mode set automatic generation method that enables automatic generation of the modes of each level in the hierarchical architecture was also presented. Fault detection and isolation of a two-shaft marine gas turbine was studied in a simulation environment using the proposed STEKF-based MM approach and compared with the results of the traditional Extended Kalman filter (EKF) based MM approach. The results showed that the proposed approach not only has the advantages of the EKF-based MM approach but also robustness to the model uncertainty and overcomes the shortcomings of the MM approach.
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A new component map generation method for gas turbine adaptation performance simulation
Qingcai Yang,Shuying Li,Yunpeng Cao 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.4
The accuracy of component maps significantly affects gas turbine performance simulation results. Unfortunately, the information in component maps is usually insufficient to performance simulation. In this paper, a new compressor map generation method is presented with the primary objective of improving the accuracy of the gas turbine performance simulation model under insufficient information. In this method, the compressor map is first generated as an initial map according to the operating points determined by a set of steady-state operating data, and the coefficients that determine the shape of the compressor map are analyzed and tuned through a multi-objective optimization scheme to match multiple sets of transient data. To verify the validity of the new method, an LM2500 compressor map from the public literature was generated and the results were compared with those of existing fitting methods. Furthermore, the new map generation method, developed in Simulink, was implemented in a dynamic gas turbine model and tested in off-design steady-state and transient conditions. The results showed that the method is able to overcome the shortcomings of the existing methods and to effectively improve the accuracy of the gas turbine performance model under insufficient information.
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Qingcai Yang,Shuying Li,Yunpeng Cao 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.4
In this paper, a multiple model (MM)-based detection and estimation scheme for gas turbine sensor and gas path fault diagnosis is proposed, which overcomes the coupling effects between sensor faults and gas path faults, and simultaneously realizes an accurate diagnosis of sensor and gas path faults. First, an adaptive fault detection and isolation (FDI) framework based on the MM method was established to detect and isolate sensor faults and gas path faults. Then, a fault amplitude estimation method was proposed according to the FDI results, and a fault validation method based on the Chi-square test was proposed to confirm the actual fault. Finally, hardware in the loop (HIL) simulation platform was established to validate the effectiveness of the proposed method. Several simulation case studies were conducted based on a two-shaft marine gas turbine with common gas path faults and sensor faults. The simulation results show that the proposed method can accurately diagnose the fault and estimate the corresponding fault amplitude when both the sensor fault and the gas path fault coincide.
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Tianmiao Yu,Fengchun Jiang,Chunhe Wang,Mengxin Cao,Zhenqiang Wang,Yunpeng Chang,Chunhuan Guo 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.5
In this study, the Ti–6Al–4V alloy hollow spheres were prepared by powder metallurgy method under different sinteringtemperatures (1200 °C, 1250 °C, 1300 °C, 1350 °C and 1400 °C). And the density, shrinkage and microstructure of hollowspheres were tested by Archimedes drainage method, diameter measurement, optical microscope and scanning electronmicroscope, respectively. The results show that the density and shrinkage of hollow spheres increase gradually with thesintering temperature increasing, while the porosity of the shell of hollow spheres decreased along with the increase of sinteringtemperature. When the sintering temperature is 1400 °C, the hollow sphere has the largest density of 2.10 g/cm3, thelargest shrinkage of 22.0% and the smallest porosity of 14.2%. By comparing the micro-morphology and properties underdifferent temperatures, when the sintering process lasted for 180 min at 1400 °C, the Ti–6Al–4V hollow spheres have thesmallest porosity and the largest density.
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