The current fault diagnosis methods based on conventional BP neural network and RBF neural network exist long training time, slow convergence speed and low judgment accuracy rate and so on. In order to improve the ability of fault diagnosis, this paper puts forward a kind of fault diagnosis method based on RBF Neural Network improved by PSO algorithm. By using particle swarm algorithm’s heurist...

The moisture content of Yinghong No. 9 tea leaves is an important indicator for their processing. traditional method used to detect the not suitable large-scale production. To improve efficiency processing, a detection system based on machine vision was developed, and relationship between fresh researched. Firstly, nine color features five texture images were extracted, two different databases ...

Prediction and parameter optimization are effective methods for mine personnel to control blast-induced ground vibration. However, the challenge of prediction lies in multi-factor multi-effect nature open-pit blasting. This study proposes a hybrid intelligent model predict vibrations using least-squares support vector machine (LSSVM) optimized by particle swarm algorithm (PSO). Meanwhile, multi...

Transformers and circuit breakers are essential equipment in traction power supply systems. Once a fault occurs, it will affect the train’s regular operation even threaten passengers’ personal safety. Therefore, is to diagnose faults of transformers system. At present, companies have made many achievements diagnosis equipment, but there still problems with real-time accuracy. The Internet Thing...