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Articles by Zhengguang Shen
Total Records ( 2 ) for Zhengguang Shen
  Fengyu Zhu , Qi Wang and Zhengguang Shen
  Selection of Relevance Vector Machine (RVM) kernel function parameter is one among ineffectively resolved issues which is first resolved in the literature by Adaptive Particle Swarm Optimization (APSO). A novel APSO-RVM method is proposed to optimize and select the RVM kernel parameter, thus forming, taking the advantage of APSO dramatically convergence. Furthermore, the method is applied to the fault detection of liquid rocket engines test-bed. In order to verify the validity of dramatically effectiveness in fault detection, this paper demonstrates the proposed APSO-RVM approach by performing both simulations and experiments using Oxygen Valve Outlet Pressure (Pejy) data. Results show that APSO-RVM can rapidly detect faults effectively and has a high practical value.
  Zhengguang Shen , Qi Wang and Fengyu Zhu
  Aiming at the desired status self-validation of traditional multifunctional sensor, a novel multifunctional self-validating sensor functional model is proposed to improve the measurement reliability. Detailed self-validating functions are presented, especially the proposed health evaluation emphasized in this study. Being different from traditional fault diagnosis, it is improved from a quantitative perspective, in which a novel conception Health Reliability Degree (HRD) is defined to indicate the level. The HRD methodology is implemented by using the grey theory coupled with neural network-based multiple data fusion. The information entropy method is employed to obtain the weights distribution of each sensitive unit to indicate the distinct importance. A health evaluation experimental system of multifunctional self-validating sensor was designed to produce the actual samples and further verify the proposed methodology. Experimental results demonstrate that the proposed strategy could be used to indicate the health level quantitatively and provide a good solution to the health evaluation of multifunctional self-validating sensor.
 
 
 
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