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Fault signal propagation in a network of distributed motors

机译:故障信号在分布式电机网络中的传播

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Industrial environment usually contains multiple motors that are supplied through a common power bus. The power line acts as a good conducting environment for signals to travel through the power network. In effect, this influences other motors with noisy signals that may indicate a fault condition. Further complexity arises when signals are generated by motors with different power ratings, a different slip speed and more than one source of fault signals. This sort of complexity and mixing among signals from multiple sources makes them difficult to measure and precisely correlate to a given machine or fault. In this research, a power network model for induction motors is presented. This model accommodates the signal attenuation factor when it is disseminated along the bus. It also allows for system configuration of motor characteristics and fault injection. It is expected that this simulation model will facilitate the environment for testing sensor networks and data fusion approaches that facilitates better intelligence for fault identification and localization.
机译:工业环境通常包含通过公共电源总线供电的多个电动机。电源线为信号通过电源网络提供了良好的传导环境。实际上,这会以可能指示故障状况的嘈杂信号影响其他电动机。当信号由具有不同额定功率,不同转差速度和一个以上故障信号源的电动机生成时,会进一步增加复杂性。这种复杂性以及来自多个源的信号之间的混合使得它们难以测量,并且很难与给定的机器或故障关联。在这项研究中,提出了用于感应电动机的电力网络模型。该模型可适应沿总线传播的信号衰减系数。它还允许对电动机特性和故障注入进行系统配置。预计该仿真模型将为测试传感器网络和数据融合方法提供便利的环境,从而为故障识别和定位提供更好的情报。

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