GB/T 22394.2-2021
ActiveCondition monitoring and diagnostics of machines—Data interpretation and diagnostics techniques—Part 2:Data-driven applications
机器状态监测与诊断 数据判读与诊断技术 第2部分:数据驱动的应用
Application Summary AI generated
This standard specifies data-driven techniques for interpreting machine condition data and performing diagnostics, such as pattern recognition, anomaly detection, and predictive modeling. It is applied in industrial sectors like manufacturing, energy, and transportation for monitoring rotating machinery, bearings, and structural components. The standard guides engineers in implementing automated diagnostic systems that analyze vibration, temperature, or other sensor data to identify faults without relying on physical models.
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Transparency note: The application summary and key sentences on this page were automatically generated by AI from the standard's original text. This content has not been human-verified and should not be used for compliance or regulatory purposes. Always refer to the official standard document from the issuing authority.