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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Operational Safety Assessment of Turbo Generators with Wavelet Rényi Entropy from Sensor-Dependent Vibration Signals
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Operational Safety Assessment of Turbo Generators with Wavelet Rényi Entropy from Sensor-Dependent Vibration Signals

机译：基于传感器的振动信号评估具有小波Rényi熵的涡轮发电机的运行安全性

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摘要

With the rapid development of sensor technology, various professional sensors are installed on modern machinery to monitor operational processes and assure operational safety, which play an important role in industry and society. In this work a new operational safety assessment approach with wavelet Rényi entropy utilizing sensor-dependent vibration signals is proposed. On the basis of a professional sensor and the corresponding system, sensor-dependent vibration signals are acquired and analyzed by a second generation wavelet package, which reflects time-varying operational characteristic of individual machinery. Derived from the sensor-dependent signals’ wavelet energy distribution over the observed signal frequency range, wavelet Rényi entropy is defined to compute the operational uncertainty of a turbo generator, which is then associated with its operational safety degree. The proposed method is applied in a 50 MW turbo generator, whereupon it is proved to be reasonable and effective for operation and maintenance.
机译：随着传感器技术的飞速发展，现代机械上安装了各种专业传感器，以监控操作过程并确保操作安全，这在工业和社会中发挥着重要作用。在这项工作中，提出了一种新的基于传感器依赖的振动信号的小波Rényi熵操作安全评估方法。在专业传感器和相应的系统的基础上，通过第二代小波包获取并分析与传感器相关的振动信号，该信号反映了各个机械的时变运行特性。从与传感器相关的信号的小波能量分布在观察到的信号频率范围中得出，定义了小波Rényi熵来计算涡轮发电机的运行不确定性，然后将其与运行安全度相关联。该方法应用于50MW汽轮发电机组，经证明是合理有效的运维方法。

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