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Monitoring Health of Dynamic System Using Speaker Recognition Techniques

机译:使用说话人识别技术监控动态系统的运行状况

摘要

Monitoring health of dynamic systems includes using speaker recognition techniques. Some embodiments include determining a system-independent statistical (first) model, and determining a healthy system (second) model based on data representing vibrations of multiple healthy systems and the first model and speaker recognition techniques. Vibration data are obtained from a particular system. It is determined whether the particular system is unhealthy based on the vibration data from the particular system and the first model and the second model and speaker recognition techniques. Some embodiments include obtaining training data that represents vibrations of multiple healthy systems. A damage-sensitive parameter is based on the training data. A threshold value that separates damaged systems from healthy systems is based on the training data and the parameter. It is determined whether a particular system is healthy based on the threshold value and a value for the parameter for vibration data from the particular system.
机译:监视动态系统的运行状况包括使用说话者识别技术。一些实施例包括确定独立于系统的统计(第一)模型,以及基于表示多个健康系统的振动的数据以及第一模型和说话者识别技术来确定健康系统(第二)模型。振动数据是从特定系统获得的。基于来自特定系统,第一模型和第二模型以及说话者识别技术的振动数据来确定特定系统是否不正常。一些实施例包括获得表示多个健康系统的振动的训练数据。损伤敏感参数基于训练数据。根据训练数据和参数将损坏的系统与正常的系统区分开来的阈值。基于阈值和来自该特定系统的振动数据的参数值来确定特定系统是否健康。

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