The current situation of high failure rate and long fault diagnosis time of electromechanical excavating equipment was summarized in detail,and a fault diagnosis method based on real-time monitoring and machine learning based on sensor network was proposed,and a diagnosis system combining sensor network,machine learning and expert system was established,laying a foundation for improving the reliability of the excavating electromechanical equipment and shortening the troubleshooting time.
维普
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