The invention provides a noise point fault diagnosis method and a fault diagnosis system. Noise point data is generated by converting a vibration signal measured at a vibration signal source, i.e., a noise point, at a first time into a frequency domain. Sound point data is generated by converting a vibration signal measured at a sound point different from a noise point at a first time into a frequency domain. Deep learning is applied to the noise point data and the sound point data to generate a noise prediction model for predicting frequency data of the vibration at the noise point using frequency data indicative of the vibration at the sound point. A noise prediction model is applied to a target vibration signal measured at the sound point at a second time to predict target noise point data indicative of vibration at the noise point. The predicted target noise point data is used to diagnose a fault at the noise point.
提出了噪声点故障诊断方法及故障诊断系统。通过将第一时间在振动信号源即噪声点处测量的振动信号转换到频域中来生成噪声点数据。通过将第一时间在不同于噪声点的声音点处测量的振动信号转换到频域中来生成声音点数据。深度学习应用于噪声点数据和声音点数据,以生成噪声预测模型,该噪声预测模型用于使用指示声音点处的振动的频率数据来预测噪声点处的振动的频率数据。噪声预测模型应用于第二时间在声音点处测量的目标振动信号,以预测指示噪声点处的振动的目标噪声点数据。预测的目标噪声点数据用于诊断噪声点处的故障。
Noise point fault diagnosis method and fault diagnosis system
噪声点故障诊断方法及故障诊断系统
2024-11-26
Patent
Electronic Resource
Chinese
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR / G01H MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES , Messen von mechanischen Schwingungen oder Ultraschall-, Schall- oder Infraschallwellen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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