Vehicle monitoring data processing method

The invention provides a vehicle monitoring data processing method, and belongs to the technical field of monitoring data cleaning, and the method comprises the following steps: obtaining monitoring data of a commercial vehicle at each collection moment, the types of the monitoring data being various; extracting different types of target monitoring data sets with a coupling relationship from the monitoring data; for the target monitoring data of the specified type, constructing a filtering function according to the distance between the target monitoring data of other types; wherein the other types are types except the specified type in the target monitoring data set; filtering the target monitoring data of the specified type by adopting the filtering function; according to the method, the relationship between data of mutually associated parameter types can be comprehensively considered, relevance filtering is adopted, the actual running condition of the vehicle is reflected, real monitoring ...

Power system failure diagnostic method based on neural network and fuzzy integral

Power system failure diagnostic method based on neural network and fuzzy integral

The invention discloses a power system failure diagnostic method based on a neural network and fuzzy integral. The invention adopts the power system failure diagnostic method facing to an element neural network and fuzzy integral information fusion technology, thus effectively solving two problems of acquiring training samples and adapting to topological changes. Integrated diagnostics fully considers reliability difference of primary diagnostic conclusion, avoids discussion on prior information, and also has no need to do independence assumption to each element primary diagnostic conclusion,thus effectively improving the correctness of system diagnosis.

Tire tightening control parameter optimization method, electronic equipment and storage medium

The embodiment of the invention discloses a tire tightening control parameter optimization method, electronic equipment and a storage medium. The method comprises the steps that a tire tightening process capability index prediction model based on a neural network is established, and the model takes multiple control parameters of the tire tightening process as input and takes tightening process capability indexes of a tire under the multiple control parameters as output; analyzing the correlation between each control parameter and the tightening process capability index; gradually reducing the number of control parameters input into the model according to the correlation from small to large until model errors caused by parameter reduction exceed a preset range; and constructing a fitness function according to the tightening process capability index output by the model, and optimizing the values of the residual control parameters by adopting a particle swarm optimization algorithm, so that ...