Papers by Keyword: Bayesian Formula

Abstract: Inversion problem is always represented as ill-posed and unstable problem, especially in the practical application problem such as geophysics, geodetics, ocean science and so on. Regularization item, subject to data misfit is used to stabilize the inversion problem. In this paper we test its validity .The result shows that In selection of the trade-off parameter is very important.Trade-off parameter brings convenience for data processing of inversion method.

Abstract: Bayesian formula is used to determine diagnosis sequence when several fault trees meet requirements. Bayesian prior probability is usually determined through expert or the user's subjective judgment and historical experience. If there is lack of expert experience, the determination of priori probability is very difficult. A real-time priori probability calculation method is proposed, which needn’t any priori-knowledge and can regulate automatic on the monitoring parameters. It takes into account the multiple diagnosis impact and more flexible than fixed priori probability according application.

Abstract: The development of the city's public transport system has an indispensable role to alleviate the pressure of urban roads. Bus travel time reliability is an important evaluation index of the bus operation service level. The simulation of bus travel time helps us understand the reliability of bus running time. In this paper, we use Monte Carlo stochastic simulation method to calculate the reliability of bus travel time. On this basis, we establish a model of the reliability of public transportation systems to research the reliability of bus travel time.