Research And Development Of The Remote Condition Monitoring System For Wind Turbine Based On B/S

The development of wind turbine is becoming more and more upsizing, so there need to be a. kind of special monitoring system to monitor the wind turbine's running in order to guarantee the equipment's normal working and to prevent the economic lose and the death of people. This system is available to find out the equipment's running condition in time and to minimize the failure loses. With the development of the internet, remote monitoring system which can combine condition monitoring and computer's network together is being developed. According to this background, a kind of remote monitoring system which is made out by technology of network process is developed in this paper.The gearbox is the major failure component in wind turbine; moreover, rolling bearing and gear are wearing parts in mechanical equipments. This paper introduces their fault forms simply and describes their fault diagnosis technology synoptically.The theory of expert system and neural network is introduced into fault diagnosis in order to realize the intelligent of diagnosis in this paper. The composition and the function of ES and NN are taken apart. This paper achieves diagnosis's rapidity and accuracy by means of combining ES and NN together and giving full play to their strength. Life prediction method is designed in this paper according to least squares theory, and kinds of situation which will appear in the forecasting process are discussed. This method can predict short time running conditions of wind turbine.This system which is based on B/S is designed by modularized idea. Web page is developed by ASP technology, and Java is adopted to be programming language. The data which is saved into SQL database in order to get the good management is collected in the manner of offline. This system can read data from database and send the data to client, Java program can draw monitoring interface according to data and manage the data too.Test proves that this system can reflect gear box's signal well, and this system can help field monitoring people to monitor and diagnose equipments regularly. It has proved that this system is practical and effectual.