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首页> 外文期刊>International Journal of Applied Mathematics & Statistics >Compressor Status Recognition of Multi-class Support Vector Machine Based on Wireless Sensor Networks
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Compressor Status Recognition of Multi-class Support Vector Machine Based on Wireless Sensor Networks

机译:基于无线传感器网络的多类支持向量机的压缩机状态识别

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摘要

The compressor status recognition is the main basis of the parts maintenance, which can improve the compressor of its reliability. Therefore, to it is essential to improve the compressor of its Status recognition accuracy, in the study of which, further studies of multi-class support vector machine in wireless sensor network have been applied. First of all, the architecture of wireless sensor network system should be constructed for compressor Status recognition. Then, the corresponding hardware and software design and route design for Status recognition in wireless network should be conducted. Following is the design of the compressor Status recognition algorithm based on multi-class support vector. In the end, trail research on compressor machine Status recognition can be conducted, and the result shows this algorithm being with high recognition accuracy, can be widely applied in the future.
机译:压缩机状态识别是零件维护的主要基础,可以提高压缩机的可靠性。因此,提高压缩器的状态识别精度至关重要。在研究中,已经对无线传感器网络中的多类支持向量机进行了进一步的研究。首先,应该构建用于传感器状态识别的无线传感器网络系统架构。然后,应进行相应的硬件和软件设计以及用于无线网络中状态识别的路由设计。接下来是基于多类支持向量的压缩机状态识别算法的设计。最后,对压缩机机状态识别进行了跟踪研究,结果表明该算法具有较高的识别精度,可以在以后广泛应用。

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