Abnormality warning method, device and equipment for water-turbine generator set and medium

The invention discloses an abnormity warning method, device and equipment for a water-turbine generator set and a medium. The method comprises the following steps: acquiring current vibration data of a target water-turbine generator set in real time, and performing data preprocessing on the current...

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Main Authors PEI JUN, XU KAIWEI, LIANG YEQUAN, LIU HUAN, WANG SIJIE, CHEN YUNYUN, HUANG XIANGWEI, WAN BO, HU WENXING, GONG YU, YANG MINGXUAN, YU YAXIONG, LUO SHUSHENG, CHEN XUTENG, ZHANG BONING
Format Patent
LanguageChinese
English
Published 03.10.2023
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Abstract The invention discloses an abnormity warning method, device and equipment for a water-turbine generator set and a medium. The method comprises the following steps: acquiring current vibration data of a target water-turbine generator set in real time, and performing data preprocessing on the current vibration data to obtain standard current vibration data; performing feature extraction on the standard current vibration data through a preset vibration data transformation method to obtain a current spectral kurtosis feature; inputting the current spectral kurtosis feature into a pre-trained abnormal alarm cluster confirmation model, and determining a clustering cluster type corresponding to the current spectral kurtosis feature; and if the cluster type is an abnormal alarm cluster, carrying out abnormal alarm operation on the target water-turbine generator set. The problem that it is difficult to accurately give an alarm to the water-turbine generator set according to the collected vibration data is solved, the
AbstractList The invention discloses an abnormity warning method, device and equipment for a water-turbine generator set and a medium. The method comprises the following steps: acquiring current vibration data of a target water-turbine generator set in real time, and performing data preprocessing on the current vibration data to obtain standard current vibration data; performing feature extraction on the standard current vibration data through a preset vibration data transformation method to obtain a current spectral kurtosis feature; inputting the current spectral kurtosis feature into a pre-trained abnormal alarm cluster confirmation model, and determining a clustering cluster type corresponding to the current spectral kurtosis feature; and if the cluster type is an abnormal alarm cluster, carrying out abnormal alarm operation on the target water-turbine generator set. The problem that it is difficult to accurately give an alarm to the water-turbine generator set according to the collected vibration data is solved, the
Author HU WENXING
LIANG YEQUAN
WAN BO
LUO SHUSHENG
XU KAIWEI
WANG SIJIE
ZHANG BONING
YANG MINGXUAN
GONG YU
CHEN XUTENG
PEI JUN
LIU HUAN
HUANG XIANGWEI
CHEN YUNYUN
YU YAXIONG
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– fullname: HUANG XIANGWEI
– fullname: WAN BO
– fullname: HU WENXING
– fullname: GONG YU
– fullname: YANG MINGXUAN
– fullname: YU YAXIONG
– fullname: LUO SHUSHENG
– fullname: CHEN XUTENG
– fullname: ZHANG BONING
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DocumentTitleAlternate 一种水轮发电机组的异常告警方法、装置、设备及介质
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RelatedCompanies MAINTENANCE TEST BRANCH COMPANY, SOUTHERN POWER GRID PEAK LOAD AND FREQUENCY REGULATION POWER GENERATION
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Snippet The invention discloses an abnormity warning method, device and equipment for a water-turbine generator set and a medium. The method comprises the following...
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COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES
MEASURING
PHYSICS
TESTING
Title Abnormality warning method, device and equipment for water-turbine generator set and medium
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