Fault Analysis and Prediction System Based on Multiple Monitoring Platform Data of Radio and Television
This article uses Pandas as the foundation to clean and analyze data from multiple monitoring platforms,including transmitters,power,and air-receive signals.It proposes a fault analysis and prediction model based on multi-platform data.Through the analysis of fault distribution and trend data in single and combined dimensions,an effective situational prediction model is constructed.This model can predict the probability of fault occurrence in the current environment,providing reliable decision support for improving station operation and maintenance.
PandasData cleaningFault analysisPredictive modelOperation and maintenance efficiency
万方数据
维普
