Research on a novel online condition monitoring technique for induction machinery

作者: Wenxian Yang , R. Court , Jiesheng Jiang

DOI: 10.1049/CP.2012.0143

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摘要: Condition monitoring of induction machinery is traditionally implemented by conducting spectral analysis either vibration or stator current signals, because it believed that once a fault occurs, will produce unique characteristic frequency in the signals. Hence, and its further growth can be detected traced through observing variation tendency amplitude at this fault-related frequency. Such condition approach requires significant pre-knowledge about machine components, however does not always work very well practice, particular when infancy. In addition, to date there has been convincing proof demonstrating electrical faults readily means analysis, although much effort done prove validity detecting mechanical occurring machinery. view this, new online technique developed paper dedicated for machinery, which based on phase angle with respect corresponding voltage. paper, proposed verified both simulated practical experiments. It shown only valid machine, but also able distinguish winding from rotor without requiring any machine. Moreover, uses relatively simple calculations therefore ideally suited performing task online. (5 pages)

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