Remote Fault Diagnosis and Intelligent Decision-making System for Condenser Based on Pattern Recognition and Reliability Evaluation

Paper presented a common fault diagnosis method based on pattern recognition and reliability evaluation, and made intelligent decision according to the diagnosis results. Firstly, the fault model library of the phase modulator was established, and the instantaneous value and the change rate of the sampled signal were calculated by using the time domain and frequency domain signal analysis methods to determine the type and reliability of the fault. Then, through the comparative analysis of historical data and relevant standards, the severity of the fault was determined, and the severity and trend of the fault of the condenser were obtained. Finally, according to the fault and severity of the unit, visual display and intelligent decision-making were carried out and timely pushed. The intelligent decision-making system established in this paper could help operators make scientific operation and maintenance decisions, reduce the probability of equipment failure, improve the service life of the condenser, and provide the strongest technical support for improving power transmission and security and stability of the power grid.