A Method of State Monitoring and Fault Diagnosis of Hydraulic Turbine Based on Chaos Theory
A technology of chaos theory and water turbines, applied in hydropower, mechanical equipment, engine components, etc., can solve problems such as difficult diagnosis of water turbine cavitation faults, and achieve the effect of improving safety, service life and system stability
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specific Embodiment approach 1
[0070] Specific implementation mode one: combine figure 1 , figure 2 Describe this embodiment, the water turbine state monitoring device used in the method for realizing the state monitoring of a water turbine based on the chaos theory of this embodiment includes a pressure sensor 1, a signal amplifier 2, a data collector 3 and a host computer 4; the pressure sensor 1 is arranged on In the draft tube area of the turbine, the signal output end of the pressure sensor 1 is connected to the signal input end of the signal amplifier 2, the signal output end of the signal amplifier 2 is connected to the signal input end of the data collector 3, and the signal output end of the data collector 3 The end is connected with the signal input end of the host computer 4;
[0071] The specific steps of the method of realizing the state monitoring of the turbine based on the chaos theory are as follows:
[0072] Step 1: The pressure sensor 1 monitors the draft tube data of the hydraulic t...
specific Embodiment approach 2
[0084] Specific implementation mode two: combination image 3 This embodiment is described. The difference between this embodiment and the first embodiment is that in step one, the pressure sensor 1 is arranged outside the draft tube elbow.
[0085] Such as image 3 As shown, in this embodiment, the pressure sensor 1 is installed at the monitoring point 3 draft3. When the water flow leaks out from the outlet of the runner, it will have a relatively large impact on the outer wall of the elbow. On the outer side of the draft tube elbow, the lowest frequency pressure pulse The amplitude is the largest, and the characteristic phenomenon of cavitation is obvious.
specific Embodiment approach 3
[0086] Embodiment 3: This embodiment differs from Embodiment 1 or Embodiment 2 in that the sampling frequency of the pressure pulsation signal in step 2 is 4000 Hz.
[0087] Setting the sampling frequency of the pressure pulsation signal to 4000 Hz can collect all the pressure pulsation data of the turbine, and can avoid cavitation from interfering with the sampling results of the pressure sensor.
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