Fan failure detecting and diagnosing method based on bispectrum data
The invention discloses a fan failure detecting and diagnosing method based on bispectrum data. Through noise reduction, a signal with the good noise reduction effect is obtained; then according to the noise-reduction signal, bispectrum treatment is conducted, and thus a bispectrum treatment image i...
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Main Authors | , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
09.01.2018
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a fan failure detecting and diagnosing method based on bispectrum data. Through noise reduction, a signal with the good noise reduction effect is obtained; then according to the noise-reduction signal, bispectrum treatment is conducted, and thus a bispectrum treatment image is obtained; and finally, according to a fan basis failure image library capable of being established, the fan failure types are obtained through comparison, warning is conducted, and a solution is provided. According to the fan failure detecting and diagnosing method based on the bispectrum data, the practicability and systematicness of traditional fan failure detection are improved, and fan failure detection is simplified and more reliable.
本发明公开了种基于双频谱数据检测和诊断风机故障的方法,通过降噪,得到降噪效果较好的信号;然后根据降噪的信号,进行双频谱处理,得到双频谱处理图像;最后根据已经能够建立的风机基本故障图像库,比较得到该风机故障的故障类型,并报警、提供解决方案。该方法提高了传统风机故障检测的实用性和系统性,将风机故障检测简单化、可靠化。 |
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Bibliography: | Application Number: CN20171671683 |