A state alarm method of hydroelectric unit based on multi-dimensional variable sample information database
A multi-dimensional variable, hydroelectric unit technology, applied in the direction of alarms, electrical digital data processing, special data processing applications, etc., can solve problems such as inability to monitor, alarm, false alarms in time, and the amplitude of the vibration swing of the unit becomes larger. Achieve the effect of rich status information, high alarm accuracy and strong operability
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Embodiment 1
[0018] (1) Using conventional methods, collect and search online the state parameters and multidimensional variables of the hydropower units to be alarmed collected by the hydropower unit state monitoring system. The state parameters and multidimensional variables depend on the monitoring quantities connected to the state monitoring system. Wherein the state parameters include vibration, swing, water pressure pulsation, water turbine efficiency, generator air gap, water turbine cavitation, noise, temperature, and the information of each parameter includes frequency spectrum, amplitude, phase, and mean value; Multi-dimensional variables include water head, active load, reactive load, speed, excitation current, excitation voltage;
[0019] (2), the information of the state parameter of the hydroelectric unit to be alarmed by step (1) is searched for and the multi-dimensional variable of the hydroelectric unit to be alarmed is carried out information association and segmentation i...
Embodiment 2
[0025] Steps (1)~(5) are the same as in Example 1;
[0026] (6) Comparing the real-time multidimensional variable information samples in the real-time multidimensional variable information sample library with the initial multidimensional variable information samples in the initial multidimensional variable information sample library, the real-time multidimensional variable information samples and the initial multidimensional variable information samples The alarm specified value shown in the sample does not exceed the alarm threshold shown in the alarm basis determined in the above step (5), according to the alarm period set in the step (5), regularly change the real-time multidimensional variable information sample and the initial multidimensional variable The information samples are stored in the historical multidimensional variable information sample library established in the above step (2).
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