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Vibration faults diagnosis for centrifugal ventilator based on DDAGSVM

机译:基于DDAGSVM的离心呼吸机振动故障诊断

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Multi-class algorithm based on Support Vector Machines, which is also called as Decision Directed Acyclic Graph method, is used for ventilator faults diagnosis in order to diagnose the vibration faults of centrifugal ventilator and improve ventilator run security and economical efficiency. Results indicate that the method is a novel means to ventilator faults diagnosis, which can not only diagnose common vibration faults accurately but also it has some features which are faster diagnosis rate and higher accuracy.
机译:基于支持向量机的多级算法也称为决策指导的非环路图方法,用于呼吸机故障诊断,以诊断离心呼吸机的振动故障,提高呼吸机运行安全性和经济效率。结果表明,该方法是呼吸机故障诊断的新方法,这不仅可以准确地诊断常见的振动故障,还可以具有更快的诊断率和更高的精度。

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