Other

Northwestern Polytechnical University

Lei Cheng

Feng Zhang

Xiayu Xu

Peng Wang

Yang Gao

Xu Zhang

Dongyue Wang

Haotian Xi

Mingying Wu

Yameng Wang

A method for evaluating the reliability of a sealing structure in a multi-failure mode based on an Adaboost algorithm. The Adaboost algorithm is adopted to carry out a classification iterative training on the seal ring failure related data of a small sample until a classification error of set classifier meets a precision requirement; then the failure probability of the sealing structure is calculated under the fluctuation condition of related parameters by adopting the important sampling method, and further the reliability of the sealing structure is evaluated in the multi-failure mode. The present invention solves the problems of long time consumption and complex calculation process of reliability evaluation in multi-failure mode of the complex structure.

Method for evaluating reliability of a sealing structure in a multi-failure mode based on an adaboost algorithm

This invention relates to a robust optimal design method for photovoltaic cells. Firstly, the deterministic optimal model is established, which is solved by Monte Carlo method to obtain the maximum output power value of optimization objective and its corresponding design variable value, and then the design variable value obtained from deterministic optimization is deemed as the initial point of the mean value of the robust optimal design variable. Later, the robust optimal model is solved by Monte Carlo method in order to obtain the mean value of design variable, and then appropriate materials and manufacturing techniques are selected for corresponding photovoltaic components according to the design variable obtained, so as to achieve the robust optimal design of photovoltaic cells. In fact, this invention improves the output stability and reliability of photovoltaic cells.

Robust optimal design method for photovoltaic cells

Growing community of inventors

Xi'an, China

Lei Cheng