In this paper, a cooperative coevoluationary particle swarm optimization algorithm, CCMDPSO, is proposed to solve the optimization problem of triangulation of Bayesian networks. It arranges all the variables of a given Bayesian network into some groups according to the global best solution and performs optimization on these small-scale groups. The basic optimizer of CCMDPSO is an improved discrete particle swarm optimization algorithm, MDPSO. Experiments show that CCMDPSO is an effective and robust method for the triangulation problem.

Many traditional model-based diagnosis is based on the assumption of abrupt faults. This assumption can lead to a wrong result when the faults are slowly changing. The diagnosis of slowly changing faults can be considered to be an open area in controlling complex system of large scale. The slowly changing faults are difficult to detect, extremely when interlacing with abrupt faults. The modeling of diagnosis in slowly changing faults is different with abrupt faults. A modeling method of slowly changing faults on hybrid system is proposed, based on Hybrid Input Output Automata and mixture bond graph. The effectiveness is proved by method testing on three-tank system. The testing results provide a basic model to faults discovering and isolating

According to the holographic optical theory, based on the method of rotating reference light polarization plane, through the simultaneous solution of light intensity equations transformed by the hologram, the digital holographic nondestructive testing of two-dimensional stress field is introduced. This technology does not require additional experimental means and numerical method for separate fringes, determining fringe order and solving stress. It is a convenient, accurate and non-destructive measurement of two-dimensional stress field. The paper first introduces the basic theory of digital holographic photo-elastic method, and then verifies it by experiments and simulation. Light intensity images are obtained through the comparative experiments and theoretical solutions. The results prove the strong feasibility of the method in experiments, and lay the foundation for further experimental study.