Beihang University

North China Electric Power University

Liping Pang

Ke Li

Shunkun Yang

Donghao Wang

Yuanhui Wang

Hanfei Zhang

Liqiang Duan

Shuaiyu Ji

Haopeng Wu

Bohan Shang

Jiaping Guo

Yan Kan

Yongping Yang

Pengjiao Li

A steam power cycle thermoelectric decoupling system includes a molten salt heat storage system, a steam accumulator heat storage system, and a preheating system. The steam accumulator heat storage system is taken as a main heat storage component, which solves low heat storage efficiency and high heat storage costs by simply using molten salt. Saturated steam released by the steam accumulator heat storage system is heated to a superheated state by heat stored in the molten salt heat storage system, achieving supplement of the saturated steam released by the steam accumulator heat storage system to the heat supply network, and the preheating system is utilized for solving the problem that the temperature of steam output from the steam accumulator heat storage system is lower than the solidifying point temperature of the molten salt, causing the solidification of molten salt.

Steam power cycle thermoelectric decoupling system, and control method, device, medium, and product thereof

The present disclosure relates to a multi-classification non-intrusive identification and detection method for an electrical signal based on naive Bayes, including an expert database module and a signal classification module. An electrical signal training sample of a known category is built based on historical and real-time aircraft signals. Classification is performed based on a built naive Bayes model classifier, to obtain an aircraft signal classification result. P(yi) is separately calculated for each category, a conditional probability is calculated for each feature, and a classification result of a sample signal is obtained through statistic acquisition by using a probability comparison algorithm. A next status is predicted by using a time series prediction method after electrical signal data is classified and determined by using a naive Bayes algorithm.

Multi-classification and prediction method for electrical signal of aircraft small sample based on naive Bayes

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Beijing, China

Liping Pang