Papers by Author: Peng Yang

Abstract: Large systems have complex structures and functions, which makes it more difficult in fault isolation. Given the design features of BITs (built-in test) of large complex systems, a method, based on the diagnostic tree and Bayesian network, has been proposed for fault diagnosis and isolation of System-level BITs. First, faults are rapidly isolated in accordance with the diagnostic tree as well as the information of periodic BITs and maintenance BITs. Then, a diagnostic method based on the Bayesian network has been put forward to solve the problems of ambiguity groups of three LRUs or more and to accomplish further diagnosis and isolation. Finally, a certain subsystem of radar has been exemplified to verify the effectiveness of the method proposed by this study.

Abstract: Copolymerization of MAn and CHDDVE was conducted by using azobisisobutyronitrile (AIBN) or benzoyl peroxide (BPO) as the initiator, ethyl acetate (EA) or n-butyl acetate (BA) as the solvent, and n-hexane as the precipitator. Effects of several factors on monomer conversion were studied, such as reaction time, reaction temperature, composition of the monomer feed (MAn/CHDDVE) and initiator concentration. Molecular weight and its polydispersity and polymer material morphology were characterized by gel permeation chromatography (GPC) and transmission electron microscope (TEM) technologies, respectively. It was demonstrated that CTC was formed in MAn/CHDDVE system, based on ultraviolet-visible spectroscopy (UV-vis) analysis. The product was alternating copolymer with high crosslinking degree, so it could not be dissolved in common solvents, e.g. water, chloroform, N, N-dimethyl formamide (DMF), tetrahydrofuran (THF) and acetone (Ac).