Study On Condition Monitoring And Fault Diagnosis For Condenser Of 600MW Power Plant

Engrgy industry is the primary industry of economic development. Condenser is one of the important equipments in the power plant, from which the energy could be saved. Its state would seriously influence the security and economy of the turbine. So, it is important to develop the condition monitoring and fault diagnosis. Condition monitoring and fault diagnosis are studied on N-32400-1 condenser.The calculation model of exhaust pressure is established. Eighteen operating parameters are epurated from the system after analyzing its main influencing factors. Three kinds of BP neural network model were established by using the historical data. A comparison among these three kinds prediction is also studied. The single parameter prediction is used for short-term, medium-term and long-term projections. According to the state of condenser, combine with the result of BP neural network prediction, a evaluation module of the condenser state is developed for realizing a more comprehensive and timely assessment of condenser.By using the expert system, a diagnosis system of the common faults of the condenser is developed through the extraction of rules', the studying and explanning of mechanisms'. According to the different signs of the measuring points, the reasons for failure could be judged, and the feasible steps could be provided to eliminate the faults. The system could give a good guide for the conderser.The condition monitoring and fault diagnosis system for condenser of 600MW power plant is achieved through two subsystems:one is by using vb language, and the other is by using the software of force control. This system can not only realize the real-time condition monitoring and fault diagnosis for the condenser, but also can realize the offline evaluation and diagnosis.This condition monitoring and fault diagnosis system for the condenser could comprehensive analysis the condenser, then put forward detailed analysis and give practical measures. It has a positive effect for improving the security and reliability of the condenser.