NL2029810B1 - Judgment Method for Cavitation Inception of Hydraulic Turbine by Combining Vibration Test and Pressure Pulsation Test - Google Patents
Judgment Method for Cavitation Inception of Hydraulic Turbine by Combining Vibration Test and Pressure Pulsation Test Download PDFInfo
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- G—PHYSICS
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M7/00—Vibration-testing of structures; Shock-testing of structures
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H9/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
- G01H1/003—Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H5/00—Measuring propagation velocity of ultrasonic, sonic or infrasonic waves, e.g. of pressure waves
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L23/00—Devices or apparatus for measuring or indicating or recording rapid changes, such as oscillations, in the pressure of steam, gas, or liquid; Indicators for determining work or energy of steam, internal-combustion, or other fluid-pressure engines from the condition of the working fluid
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The invention discloses a judgment method for cavitation inception of hydraulic turbine by combining vibration test and pressure pulsation test. By collecting vibration speed and pressure pulsation signals of a hydraulic turbine under different working conditions, a method forjudging cavitation incipient by using the change of first-order differences AA,- and AB,- of amplitude of vibration speed and pressure pulsation signals along with cavitation coefficient 0 is proposed for the first time. When cavitation does not occur in the turbine, the first-order differences AA,- and AB,- between vibration speed and pressure pulsation signal amplitude increase slowly with the decrease of cavitation coefficient 0. After cavitation occurs, the amplitude of vibration speed and pressure pulsation signal will be enhanced. Hence, the cavitation inception point can be found through the derivatives of the curve of the pressure pulsation and vibration amplitudes change rate.
Description
Judgment Method for Cavitation Inception of Hydraulic Turbine by Combining Vibration
Test and Pressure Pulsation Test
The invention belongs to the field of hydraulic turbine technology, and involves a judgment method for cavitation inception of hydraulic turbine by combining vibration test and pressure pulsation test.
Hydraulic energy as a clean and efficient renewable energy is extremely important in the development of China's renewable energy business, and the hydraulic turbine is the core mechanical equipment for hydropower development. In the process of its operation, cavitation is one of the factors that endanger the stability of the turbine. Cavitation is a phenomenon that causes the formation, development and collapse of a vacuole after the local pressure inside the liquid decreases below the saturation vapor pressure of the liquid. When cavitation occurs, the fluid rapidly impacts the turbine components, resulting in cavitation, luminescence, vibration and noise, etc., which in severe cases causes the turbine efficiency to decrease and the components to be stripped. Therefore, in the field of hydraulic turbine, it is important to detect the generation of cavitation phenomenon for the safe operation of hydroelectric power system.
The purpose of this invention is to provide a judgment method for cavitation inception of hydraulic turbine by combining vibration test and pressure pulsation test. This method can accurately determine the cavitation inception of hydraulic turbine by vibration velocity signal and pressure pulsation signal, and solve the problem of insufficient accuracy in determining the cavitation inception in the existing detection methods.
The technical scheme adopted in the invention is a judgment method for cavitation inception of hydraulic turbine by combining vibration test and pressure pulsation test, including the following steps:
Step 1, acquiring the vibration speed and pressure pulsation signals of the hydraulic turbine by the laser vibrometer and the pressure pulsation sensor respectively to obtain the time series x(t) of the hydraulic turbine after sampling the vibration speed signal and the time series y(t) of the pressure pulsation signal after sampling the vibration speed signal;
Step 2, intercepting the sampled time series x(t) of the vibration velocity signal and the sampled time series y(t) of the pressure pulsation signal obtained in step 1, respectively, to obtain the intercepted time series x:(f) of the vibration velocity signal and y:{f) of the pressure pulsation signal,
Step 3, using the low-pass filter to filter the intercepted vibration velocity signal x4(t) and the pressure pulsation signal y1(t) to obtain the filtered vibration velocity signal x2(f) and the pressure pulsation signal yz(t); and
Step 4, repeating steps 1-3 to obtain the turbine vibration speed signal
X=( x1(t),... xi(1),..., xn(t)) and pressure pulsation signal Y=(y.(1),...yi(t},...yn (1).
Step 5, calculating the amplitude A; of the vibration velocity signal X=(xi(t),...x(t),...xn(t)) and the amplitude B; of the pressure pulsation signal Y=(y:(t),...yi(t),...yn(t)) for different cavitation coefficients;
Step 6, calculating the first-order differences AA; and AB; of the amplitude of vibration velocity signal o; and the amplitude of pressure pulsation signal B; with cavitation coefficient o;, i=1,2,...N, and obtain the experimental data ((0:,4A+),(02,AA2), … (0; AA), … (On, AAN) #1 ((0+,4B1),(02,4B2), … (0; AB), … (On, ABN);
Step 7, fitting the first-order difference AA; of the amplitude of the turbine vibration velocity signal as a function of the cavitation coefficient.
Step 8, fitting the first-order difference AB; of the turbine pressure pulsation signal amplitude as a function of the cavitation coefficient.
Step 9, based on the fitting results of Step 7 and Step 8, solving for the turbine incipient cavitation coefficients to obtain cavitation coefficients oc and Oc.
Step 10, determining the cavitation coefficients of the hydraulic turbine.
The invention is also characterized in the following content: the specific process of Step 4 is as follows: constantly changing the cavitation coefficient of the hydraulic turbine, and collecting the vibration velocity signal and pressure pulsation signal of the hydraulic turbine with laser vibrometer and pressure pulsation sensor under different cavitation coefficients; repeating steps
1-3 until cavitation occurs in the hydraulic turbine, that is, bubbles appear in the hydraulic turbine, and obtaining the vibration velocity signal X=( x(t), ..., x(t), ..., xn(t)) and pressure pulsation signals Y=( y(t), ..., yt), ..., yn(t)) of the hydraulic turbine under different cavitation coefficients, where in i=0, 1, 2, ..., N.
The specific process of Step 5 is as follows:
The amplitude A; of vibration velocity signal X=0x(t),...x{t),...xn(t)) is calculated by the following formula (1):
T
DOT.
AAE
N (1); xX, is the average value of the i-th vibration speed signal sequence, and N is the number of samples. x, is the i-th vibration speed signal sequence;
The amplitude B; of pressure pulsation signal Y=( y(t), ..., yt), ..., yn(t)) adopts the following formula (2): 7
DO)
RB, =A]
N (2);
Vv is the average value of the j-th pressure pulsation signal sequence; Vl) is the i-th pressure pulsation signal sequence.
The specific process of step 6 is as follows:
The following formula (3) is used to calculate the first-order difference A; of the amplitude AA; of the vibration velocity signal varying with the cavitation coefficient:
AA: _ Aia1- A (3)
Oi+1— Oi
Wherein A; is the amplitude of the j-th vibration speed signal and A: is the amplitude of the i-th vibration speed signal; oj is the cavitation coefficient of the i-th test, and 0; is the cavitation coefficient of the i-th test;
Using the following formula (4) to calculate the first-order difference AB; between the amplitude B; of the pressure pulsation signal and the cavitation coefficient:
Bivi—Bi
AB = (4;
Oi+1 Ot wherein B; is the amplitude of the i-th pressure pulsation signal and B: is the amplitude of the B: pressure pulsation signal; c; is the cavitation coefficient of the j-th test, and 0 is the cavitation coefficient of the i-th test.
The specific process of step 7 is as follows:
Step 7.1, according to the test data ((01,444),(02,4A2),... (0, 44A),... (on, AAm)) in Step 6, the relationship ¢n between the first-order difference AA; of vibration velocity signal amplitude and cavitation coefficient is fitted according to the least square method, as shown in the following formula (5):
G1 = (5+ BT EE = 3 (ae)
J=£ (5);
In step 7.2, calculate the first derivative of the function variation relationship between the first-order difference of vibration velocity signal amplitude and cavitation coefficient fitted in step 7.1 to obtain the first-order derivative function, as shown in formula (6):
Gf = 1+ RT +t == Vig) oT (6).
The specific process of Step 8 is as follows:
Step 8.1, According to the test data in Step 6 ((0:,4B+),(02,4B2), … (0;,AB), … (On, ABn)), the least square method is used to fit the relation between the first-order difference of pressure pulsation signal amplitude AB; as a function of cavitation coefficient, as shown in formula (7) below. r= Drin + In vis + bei = > {ho } = 7)
Wherein, 2 represents the first-order difference of pressure fluctuation signal amplitude; bi is the coefficient of the term of degree j in the polynomial function, j= 1, 2, 3,..., m; mis the power of the independent variable;
In Step 8.2, calculating the first derivative of the function variation relationship 2 of the first-order difference of the pressure fluctuation signal amplitude fitted in step 8.1 with the cavitation coefficient to obtain the first-order derivative ¢:', as shown in formula (8):
©, = bb + bee = 3 he} i= (8).
The specific process of Step 9 is as follows:
Set the value of the first-order derivative function @1 of the relation formula 1 that the first-order difference of vibration velocity amplitude changes with cavitation coefficient as tan(®8), 5 substitute tan(8) into formula (6), and solve to obtain the corresponding cavitation coefficient o; as oc; In which 8 represents the angle between the tangent of the primary cavitation point C and the horizontal line on the curve ¢ of the first-order difference of vibration velocity amplitude versus cavitation coefficient;
At the same time, set the first derivative function 2 of the relation formula 2 of pressure pulsation amplitude variation with cavitation coefficient as tan(8'), and substitute tan(8') into formula (8), and solve to obtain the corresponding cavitation coefficient o; as op, wherein 8' represents the angle between the tangent of the primary cavitation point d and the horizontal line in the curve @: of pressure pulsation amplitude variation with cavitation coefficient.
The specific process of step 10 is as follows:
When |oc-0p|<0.00001, the cavitation incipient coefficient is the larger of oc and op; When oc-0p|=0.00001, the cavitation incipient coefficient is oc or op; When |oc-o5|>0.00001, the cavitation incipient coefficient is (oct+op)/2.
The method has the advantages as follows: by collecting vibration speed and pressure pulsation signals of a water turbine under different working conditions, a method for judging cavitation inception by utilizing the change of the first-order difference AA; and AB; of the amplitude of the vibration speed and pressure pulsation signals along with the cavitation coefficient sigma is firstly proposed. When cavitation does not occur in the turbine, the first-order differences AA; and AB; between vibration speed and pressure fluctuation signal amplitude increase slowly with the decrease of cavitation coefficient o. At the beginning of cavitation, the micro bubbles in the hydraulic turbine played a buffering role, which reduced the impact of water flow on the hydraulic turbine wall, resulting in lower amplitude of vibration speed and pressure pulsation signal, while when cavitation became more serious, the vibration speed and pressure pulsation signal amplitude of the hydraulic turbine would be intensified, so there was a certain law between the variation of vibration speed and pressure pulsation signal amplitude and cavitation coefficient, so the cavitation incipient point could be found through vibration test and pressure pulsation test.
Fig. 1 is the algorithm flow chart of the cavitation inception judgment method of the hydraulic turbine integrating vibration test and pressure pulsation test of the invention;
Fig. 2 is the vibration signal diagram collected in the cavitation inception judgment method of the hydraulic turbine integrating vibration test and pressure pulsation test of the present invention;
Fig. 3 is the pressure pulsation signal diagram collected in the cavitation inception judgment method of hydraulic turbine integrating vibration test and pressure pulsation test of the present invention;
Fig. 4 is the variation curve of the first-order difference of vibration velocity amplitude with cavitation coefficient in the cavitation inception judgment method of hydraulic turbine integrating vibration test and pressure pulsation test of the invention;
Fig. 5 is the variation curve of the first-order difference of the pressure fluctuation amplitude with the cavitation coefficient in the hydraulic turbine cavitation inception judgment method integrating vibration test and pressure fluctuation test of the invention.
The invention will be described in detail below in combination with the accompanying drawings and specific embodiments.
The method for determining the cavitation inception of a hydraulic turbine by integrating vibration test and pressure pulsation test specifically comprises the following steps, and the flow is shown in Fig. 1:
Step 1: collecting the vibration velocity data of the hydraulic turbine by the laser vibrometer, and the collected vibration velocity data are sent to the console through the data acquisition card to obtain the time series x(t) after vibration velocity signal sampling; the pressure pulsation sensor is used to collect the pressure pulsation signal data of the turbine, and the collected pressure pulsation signal data are sent to the console through the data acquisition card to obtain the time series y(t) of the pressure pulsation signal after sampling.
Step 2: intercepting the time series after sampling of vibration velocity signal x(f) and pressure pulsation signal y(t) obtained in Step 1, and the intercepted time series are filtered by low-pass filter to obtain the filtered vibration velocity signal x:(f and pressure pulsation signal yi{f), as shown in Fig. 2 and Fig. 3.
Step 3: repeating step 1-2 to obtain vibration speed signal X=(xi(t),...xit),...xn(t)) and pressure pulsation signal Y=( yi(t),...y(t),... yn(t)} of hydraulic turbine under different cavitation coefficients.
Specifically, the cavitation coefficient 6=(01,02,03,...0n) of the hydraulic turbine is constantly changed, and the vibration velocity signal and pressure pulsation signal of the hydraulic turbine are collected by laser vibrometer and pressure pulsation sensor under different cavitation coefficients, and then steps 1 to 2 are repeated until cavitation occurs in the hydraulic turbine, that is, bubbles are observed inside the hydraulic turbine.
Step 4: calculating amplitude A; and B; of vibration velocity signal X=( x:(t),...x4t),... xn(t)) and pressure pulsation signal Y=( y4(1),...yit),... yn{t)) under different cavitation coefficients;
The formula for calculating the amplitude of vibration signal and pressure pulsation signal in step 4 is as follows: 7 > 0-X 0)
Ay y (1); 7
IS yo-yo 2);
N
Step 5: calculating the first-order differences AA; and AB; between vibration velocity signal amplitude A; and pressure pulsation signal amplitude B; with cavitation coefficient o;to obtain experimental data ((o1,4A9), (02,445), ... (0, 4A), … (On, AAR) and ((0:, AB) ‚(02,AB2), … (6;,AB)), … (On, ABN).
Specific formula is as follows.
MIA 9)
Ci+1— Ci
BBB 4
Ci+1—0i
A: is the amplitude of the i-th vibration speed signal, and Ai, is the amplitude of the /+7-th vibration speed signal. c; is the cavitation coefficient of the /-th test, and 01 is the cavitation coefficient of the j+7-th test; B; is the amplitude of the ith pressure pulsation signal, and B is the amplitude of the i+7-th pressure pulsation signal.
Step 6: fitting the first-order difference of turbine vibration speed signal amplitude AA; as a function of cavitation coefficient;
Step 6. 1: according to the experimental data ((01,4A4),(02,4A5),...(0,4A),...,(0n,4A)) in
Step 5: the relationship between the first-order difference AA; of vibration velocity signal amplitude and cavitation coefficient was fitted according to the least square method, as shown in the following formula (5):
EE
Oz (i+ Meme ++ eT = + {ay = (5); wherein, ¢ represents the first-order difference of amplitude of vibration velocity signal; a; is the coefficient of the term of degree j in polynomial function; m is the power of the independent variable;
Step 6.2: calculating the first derivative of the function variation relationship between the first-order difference of vibration velocity signal amplitude and cavitation coefficient ¢n fitted in step 6.1 to obtain the first-order derivative function ¢:, as shown in formula (6): @ =De ie = 3 (igad™ = (6);
Step 7: fitting the first-order difference of the amplitude of the hydraulic turbine pressure fluctuation signal A Functional variation formula of Bi with cavitation coefficient;
Step 7.1: according to the experimental data ((0:,4B1),(02,4B2), …(0;,4B), … (On, ABn)) in step 5, the relationship between the first-order difference AB; of pressure pulsation signal amplitude and cavitation coefficient is fitted according to the least square method, as shown in
Formula (7): gibson = 37 hod 2 js (7); wherein, 92 represents the first-order difference of the amplitude of the pressure pulsation signal; 5, is the coefficient of the term of degree j in polynomial function; m is the power of the independent variable;
Step 7.2: Calculating the first derivative of the function variation relationship between the first-order difference of pressure fluctuation signal amplitude and cavitation coefficient fitted in
Step 7.1 to obtain the first-order derivative function, as shown in formula (8): ©. = balie + bee = 3 {iho i= (8);
Step 8: Solving the primary cavitation coefficient of hydraulic turbine. The specific methods are as follows:
Setting the value of the first-order derivative function ge: of the relation formula gt: that the first-order difference of vibration velocity amplitude changes with cavitation coefficient as tan(8), substitute tan(B) into formula (8), and solve to obtain the corresponding cavitation coefficient 0; as oc; In which 8 represents the angle between the tangent of the primary cavitation point C and the horizontal line on the curve ¢ of the first-order difference of vibration velocity amplitude versus cavitation coefficient as shown in Fig. 4;
At the same time, set the first derivative function 2 of the relation formula 2 of pressure pulsation amplitude variation with cavitation coefficient as tan(8'), and substitute tan(8') into formula (8), and solve to obtain the corresponding cavitation coefficient o; as op, wherein ©' represents the angle between the tangent of the primary cavitation point d and the horizontal line in the curve ¢@: of pressure pulsation amplitude variation with cavitation coefficient, as shown in
Fig. 5.
Wherein, ¢ represents the relationship between the first-order difference AA; of vibration velocity signal amplitude and cavitation coefficient, 92 represents the relationship between the first-order difference AB; of the amplitude of the pressure pulsation signal and the cavitation coefficient; IE represents the first-order derivative function of formula ¢: of the relationship between the first-order difference of vibration velocity amplitude and cavitation coefficient; 2 represents the first-order derivative function of the relationship 2 between the first-order difference of pressure fluctuation amplitude and cavitation coefficient.
Step 9: judgment of initial cavitation coefficient of hydraulic turbine:
When |o¢c-0p|<0.00001, the cavitation incipient coefficient is the larger of oc and op; When oc-0p|=0.00001, the cavitation incipient coefficient is oc or op; When |cc-0p|>0.00001, the cavitation incipient coefficient is (Cctop)/2.
The invention relates to a judgment method for cavitation inception of hydraulic turbine by combining vibration test and pressure pulsation test, which firstly proposes a method for judging cavitation incipient by utilizing the change of first-order differences AA; and AB; of amplitude of vibration speed and pressure pulsation signals along with cavitation coefficient sigma by collecting vibration speed and pressure pulsation signals of the hydraulic turbine under different working conditions. When cavitation does not occur in the turbine, the first-order differences AA; and AB; between vibration speed and pressure fluctuation signal amplitude increase slowly with the decrease of cavitation coefficient co. At the beginning of cavitation, micro bubbles in the turbine play a buffering role, which reduces the impact of water flow on the turbine wall, resulting in lower amplitude of vibration speed and pressure pulsation signal. When cavitation is further serious, the vibration speed and pressure pulsation signal amplitude of the turbine will be intensified, so there is a certain rule between the variation of vibration speed and pressure pulsation signal amplitude and cavitation coefficient, so the cavitation incipient point can be found through vibration test and pressure pulsation test.
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CN114091368B (en) * | 2021-10-28 | 2024-06-21 | 西安理工大学 | Identification method for cavitation state of axial flow turbine |
CN114718793B (en) * | 2022-04-22 | 2024-02-06 | 西安理工大学 | Through-flow turbine cavitation state identification method |
CN115048746B (en) * | 2022-07-05 | 2024-07-26 | 西安理工大学 | Method for calculating vibration probability density curve of runner of full-through-flow turbine |
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DE19719406C1 (en) * | 1997-05-12 | 1998-11-19 | Voith Hydro Gmbh & Co Kg | Method for operating a hydraulic machine |
JP2003097407A (en) * | 2001-09-21 | 2003-04-03 | Tokyo Electric Power Co Inc:The | Cavitation diagnosis device for hydraulic machinery |
JP4580601B2 (en) * | 2001-09-21 | 2010-11-17 | 東京電力株式会社 | Cavitation diagnostic equipment for hydroelectric power generation equipment |
CN1188686C (en) * | 2002-09-29 | 2005-02-09 | 清华大学 | Hydraulic machinery cavitation destruction on-line monitoring method and diagnosis apparatus |
CN2888113Y (en) * | 2006-04-06 | 2007-04-11 | 西安理工大学 | Structure for control of super-cavitation in guide blade turbine of hydraulic turbine |
JP2008180130A (en) * | 2007-01-24 | 2008-08-07 | Tokyo Electric Power Co Inc:The | Axial flow water turbine and its operation method |
CN101813568B (en) * | 2009-12-07 | 2011-07-27 | 哈尔滨电机厂有限责任公司 | Judging method for determining cavitation inception |
JP2011157894A (en) * | 2010-02-02 | 2011-08-18 | Hitachi Plant Technologies Ltd | Method and device for predicting cavitation erosion quantity |
CN102043908A (en) * | 2010-12-29 | 2011-05-04 | 哈尔滨电机厂有限责任公司 | Method for determining gasified cavitation bubble inception of runner blades of model water turbine by utilizing computer |
CN103336060A (en) * | 2013-03-01 | 2013-10-02 | 哈尔滨电机厂有限责任公司 | Cavitation generation determination method for water turbine model runner blades |
CN103149276A (en) * | 2013-03-04 | 2013-06-12 | 哈尔滨电机厂有限责任公司 | Method for determining cavitation erosion initial point of runner blade of model water turbine |
CN103592152B (en) * | 2013-11-20 | 2016-09-21 | 哈尔滨电机厂有限责任公司 | Determine the acoustic method of model turbine runner bucket import position cavitation |
CN105604776B (en) * | 2015-09-09 | 2017-11-14 | 清华大学 | A kind of blade rotary wheel bidirectional tide power generation water turbine of six operating mode three |
CN106934134B (en) * | 2017-03-01 | 2019-04-26 | 兰州理工大学 | A method of the unsteady intensity of pump cavitation is centrifuged for characterizing |
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CN111159912B (en) * | 2020-01-02 | 2023-12-05 | 辽宁石油化工大学 | Optimization method for drain cone structure based on filling effect and pressure equalizing hole method |
CN111767870B (en) * | 2020-07-02 | 2024-02-20 | 哈尔滨电机厂有限责任公司 | Method for determining dynamic and static interference vibration transmission path of water turbine |
CN112065629B (en) * | 2020-08-06 | 2022-01-07 | 西安理工大学 | Method for detecting clearance cavitation primary of through-flow turbine |
CN112432749B (en) * | 2020-10-16 | 2023-05-16 | 西安理工大学 | Correlation test analysis method for turbine runner vibration and pressure pulsation |
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