CN103674189B - A kind of turbine system under meter fault monitoring method - Google Patents
A kind of turbine system under meter fault monitoring method Download PDFInfo
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Abstract
A kind of turbine system under meter fault monitoring method, belongs to steam turbine on-line monitoring field. This method utilizes data coordinating method, and fault under meter is carried out detection and Identification. Concrete technological step comprises: 1) utilize steady state condition take off data, and the uncertainty and system restriction equation according to measuring parameter observed value carries out data harmonization calculating; 2) compare the size of data harmonization minimum target functional value and failure determination threshold value, judge whether under meter fault; 3) if detection outflow rate meter generation fault, then one by one under meter is carried out fault identification, the measuring parameter of its correspondence is used as unmeasured parameter, recalculate data harmonization minimum target functional value; Relatively new minimum target functional value and failure determination threshold value, thus identify fault under meter. The method can effectively utilize the flow measurement information of redundancy in turbine system, carries out the detection and indentification of under meter fault, and method simply is easy to realize, and has the advantage of high efficiency, low cost.
Description
Technical field
The present invention relates to a kind of turbine system under meter fault monitoring method, belong to steam turbine on-line monitoring field.
Background technology
Flow measurement is one of the most important parameter of steam turbine on-line measurement. The online flow measurement of current steam turbine adopts orifice plate or nozzle flow meter usually. Turbine system in operational process, due to washing away and the effect such as corrosion of working medium, it is possible under meter fault occurs. But due to following two aspect reasons, the malfunction monitoring of orifice plate or nozzle flow meter is had difficulties: the installation space that 1) under meter needs is relatively big, usually cannot install multiple under meter by same position in turbine system; Therefore, the method for routine measurement equipment redundancy can not be adopted to carry out under meter malfunction monitoring; 2) under meter is installed and unloading process complexity, it is difficult to it carries out periodic calibrating and verification. Therefore, for the under meter that steam turbine on-line measurement uses, also lack effective malfunction monitoring means at present.
Summary of the invention
It is an object of the invention to provide a kind of turbine system under meter fault monitoring method, it is possible to the fault state of under meter in on-line monitoring turbine system, it is to increase the reliability of on-line monitoring system.
The technical scheme of the present invention is:
A kind of turbine system under meter fault monitoring method, is characterized in that the method includes following steps:
1) gathering the pressure steady state condition, temperature and flow measurement parameter from power plant's online database, measuring parameter comprises: the pressure P of high pressure feed water heater extraction entrance1,P2,…PN, service pump outlet pressure PN+1, deoxygenator extraction entrance pressure PN+2, deoxygenator condensed water entrance pressure PN+3, wherein N is the number of high pressure feed water heater; The temperature T of high pressure feed water heater extraction entrance1,T2,…TN, high pressure feed water heater is to the temperature T of water outN+1,TN+2,…T2N, the hydrophobic outlet of high pressure feed water heater temperature T2N+1,T2N+2,…T3N, service pump outlet temperature T3N+1, deoxygenator extraction entrance temperature T3N+2, deoxygenator condensed water entrance temperature T3N+3;Final flow, the flow of service pump outlet and the flow D of deoxygenator condensed water entrance fed water1,D2,D3; Above-mentioned pressure, temperature and flow measurement parameter are designated as X successively1,X2,…Xn, the observed value of measuring parameter is designated as x1,x2,…xn, wherein n is the number of all measuring parameters;
2) according to the class of precision of pressure transmitter in turbine system, temperature sensor and under meter, the uncertainty of evaluation measuring parameter observed value, is designated as σ respectively1,σ2,…σn;
3) in system, unmeasured parameter comprises: the flow d that high pressure feed water heater draws gas1,d2,…dN, the hydrophobic flow d of high pressure feed water heaterN+1,dN+2,…d2N, the flow d that draws gas of deoxygenator2N+1, deaerator feedwater outlet flow d2N+2; Above-mentioned unmeasured parameter is designated as Y successively1,Y2,…Yp, wherein p is the number of all unmeasured parameters;
4) utilize mass balance and the energy balance relations of turbine system mesohigh feedwater heating apparatus, service pump and deoxygenator, and ignore the pressure drop of feedwater side and side of drawing gas in high pressure feed water heater, set up about measuring parameter X1,X2,…XnWith unmeasured parameter Y1,Y2,…YpConstrained equations fm, wherein m is the number of equation of constraint:
fm(X1,X2,…Xn,Y1,Y2,…Yp)=0 (1)
5) the observed value x of measuring parameter is utilized1,x2,…xn, observed value uncertainty σ1,σ2,…σnAnd Constrained equations fmCarry out data harmonization calculating so that data harmonization objective functionMinimum, and the coordination value of measuring parameterWith the estimated value y of unmeasured parameter1,y2,…ypMeet system restriction system of equations:
6) the data harmonization minimum target functional value obtained will be solvedWith under meter failure determination threshold valueCompare; Detection thresholdThe 1-α fractile of card side's distribution of to be degree of freedom be r; R is system redundancy, equals the number p that equation of constraint number m subtracts unmeasured parameter, r=m-p; α is the significance level of under meter failure testing; IfShow that fault does not occur under meter;
7) ifShow under meter generation fault, then one by one under meter is carried out fault identification; When jth under meter is carried out fault identification, by measuring parameter X corresponding for this under meterjIt is used as unmeasured parameter Yp+1, re-start data harmonization and calculate:
The new data harmonization minimum target functional value obtained will be solvedWith new under meter failure determination threshold valueCompare; IfShowing that fault does not occur other under meter except jth under meter, then identify and occur the flow of fault to count jth under meter, fault identification terminates; IfShow that other under meter except jth under meter still has fault, continue next under meter is carried out fault identification;
8) by step 7) when one by one under meter being carried out fault identification, if all recognition results areShow there is multiple under meter generation fault; Then first judge in first round fault identification processMinimum flow counts fault under meter, and by measuring parameter X corresponding for this under meterjIt is used as unmeasured parameter Yp+1, then by step 7) one by one all the other under meters are carried out next and take turns fault identification, wherein, R takes turns the failure determination threshold value of under meter fault identification and is
9) as the wheel number R=r-1 of the fault identification completed, under meter fault identification terminates.
Method of the present invention, it is characterised in that: data harmonization objective function is the observed value x of each measuring parameter1,x2,…xnWith coordination valueThe weighted quadratic of deviation and; Weighting coefficient is the inverse of the uncertainty square of measuring parameter observed value.
The present invention has the following advantages and the technique effect of giving prominence to property:
Instant invention overcomes the shortcoming that traditional method can not effectively monitor turbine system under meter fault, the flow parameter of redundancy in steam turbine on-line measurement system is utilized to measure the physics equation of constraint such as the mass balance in information and system and energy balance, carry out data harmonization calculating, and under meter fault is carried out detection and Identification effectively.Another advantage of the present invention is, it is not necessary to increase extras investment, method simple possible.
Accompanying drawing explanation
Fig. 1 provides the embodiment principle schematic of a kind of turbine system under meter fault monitoring method for the present invention.
In figure: 1-#1 high pressure feed water heater; 2-#2 high pressure feed water heater; 3-#3 high pressure feed water heater; 4-service pump; 5-deoxygenator; 6-under meter; 7-pressure transmitter; 8-temperature sensor.
Embodiment
Below in conjunction with accompanying drawing, the principle of the present invention and concrete enforcement are further described.
As shown in Figure 1, system comprises 1-#1 high pressure feed water heater; 2-#2 high pressure feed water heater; 3-#3 high pressure feed water heater; 4-service pump; 5-deoxygenator; 6-under meter; 7-pressure transmitter, 8-temperature sensor.
The present invention provides a kind of turbine system under meter fault monitoring method, it is characterized in that the method includes following steps:
1) ordinary method verification pressure transmitter and temperature sensor is adopted; Gathering the pressure steady state condition, temperature and flow measurement parameter from power plant's online database, measuring parameter comprises: the pressure P of high pressure feed water heater extraction entrance1,P2,P3, service pump outlet pressure P4, deoxygenator extraction entrance pressure P5, the pressure P of deoxygenator condensed water entrance6; The temperature T of high pressure feed water heater extraction entrance1,T2,T3, high pressure feed water heater is to the temperature T of water out4,T5,T6, the hydrophobic outlet of high pressure feed water heater temperature T7,T8,…T9, service pump outlet temperature T10, deoxygenator extraction entrance temperature T11, deoxygenator condensed water entrance temperature T12; Final flow, the flow of service pump outlet and the flow D of deoxygenator condensed water entrance fed water1,D2,D3; Above-mentioned pressure, temperature and flow measurement parameter are designated as X successively1,X2,…X21, the observed value of measuring parameter is designated as x1,x2,…x21, the number of measuring parameter is 21;
2) according to the class of precision of pressure transmitter in turbine system, temperature sensor and under meter, the uncertainty of evaluation measuring parameter observed value, is designated as σ respectively1,σ2,…σ21;
3) in system, unmeasured parameter comprises: the flow d that high pressure feed water heater draws gas1,d2,d3, the hydrophobic flow d of high pressure feed water heater4,d5,…d6, the flow d that draws gas of deoxygenator7With the flow d of deaerator feedwater outlet8; Above-mentioned unmeasured parameter is designated as Y successively1,Y2,…Y8, the number of unmeasured parameter is 8;
4) utilize mass balance and the energy balance relations of turbine system mesohigh feedwater heating apparatus, service pump and deoxygenator, and ignore the pressure drop of feedwater side and side of drawing gas in high pressure feed water heater, set up about measuring parameter X1,X2,…X21With unmeasured parameter Y1,Y2,…Y8Constrained equations f10, the number of equation of constraint is 10:
f10(X1,X2,…X21,Y1,Y2,…Y8)=0 (1)
5) the observed value x of measuring parameter is utilized1,x2,…x21, observed value uncertainty σ1,σ2,…σ21And Constrained equations f10Carry out data harmonization calculating so that data harmonization objective functionMinimum, and the coordination value of measuring parameterWith the estimated value y of unmeasured parameter1,y2,…y8Meet system restriction system of equations:
6) the data harmonization minimum target functional value obtained will be solvedWith under meter failure determination threshold valueCompare; Detection thresholdThe 1-α fractile of card side's distribution of to be degree of freedom be r; System redundancy is r=2, equals the number 8 that equation of constraint number 10 subtracts unmeasured parameter; The level of significance α of under meter failure testing gets 5%; Detection threshold isIfShow that fault does not occur under meter;
7) ifShow under meter generation fault, then one by one under meter is carried out fault identification;When jth under meter is carried out fault identification, by measuring parameter X corresponding for this under meterjIt is used as unmeasured parameter Y9, re-start data harmonization and calculate:
The new data harmonization minimum target functional value obtained will be solvedWith new under meter failure determination threshold valueCompare; IfShowing that fault does not occur other under meter except jth under meter, then identify and occur the flow of fault to count jth under meter, fault identification terminates; IfShow that other under meter except jth under meter still has fault, continue next under meter is carried out fault identification;
8) by step 7) when one by one under meter being carried out fault identification, if all recognition results areShow there is multiple under meter generation fault; Then first judge in first round fault identification processMinimum flow counts fault under meter, and by measuring parameter X corresponding for this under meterjIt is used as unmeasured parameter Yp+1, then by step 7) one by one all the other under meters are carried out next and take turns fault identification, wherein, R takes turns the failure determination threshold value of under meter fault identification and is
9) as the wheel number R=r-1=1 of the fault identification completed, under meter fault identification terminates.
Data harmonization objective function is the observed value x of each measuring parameter1,x2,…xnWith coordination valueThe weighted quadratic of deviation and; Weighting coefficient is the inverse of the uncertainty square of measuring parameter observed value.
Embodiment 1:
Below for a turbine high-pressure feedwater heating apparatus, service pump and deoxygenator system, the present invention will be described. The equipment that the present embodiment comprises is: three high pressure feed water heaters, is respectively #1 high pressure feed water heater, #2 high pressure feed water heater and #3 high pressure feed water heater; A service pump; A deoxygenator.
Pressure in system, temperature and flow measurement parameter are as shown in table 1. Measuring parameter is designated as X successively1,X2,…X21. Wherein, the number of measuring parameter is 21.
Table 1. measuring parameter, observed value, uncertainty of measurement and coordination value
The unmeasured parameter comprised in system is as shown in table 2. Unmeasured parameter is designated as Y successively1,Y2,…Y8. Wherein, the number of unmeasured parameter is 8.
The unmeasured parameter of table 2. and estimated value thereof
The equation of constraint that system comprises is mass balance and the energy-balance equation of #1 to #3 high pressure feed water heater, service pump and deoxygenator, specific as follows:
1) mass balance equation:
#1 high pressure feed water heater mass balance
d4-d1=0 (1)
#2 high pressure feed water heater mass balance
d5-d2-d4=0 (2)
#3 high pressure feed water heater mass balance
d6-d3-d5=0 (3)
Feedwater flow mass balance
D1-D2=0 (4)
Service pump mass balance
D2-d8=0 (5)
Deoxygenator mass balance
d8-d6-d7-D3=0 (6)
2) energy-balance equation
#1 high pressure feed water heater energy balance
D1h(p4,T4)+d4h(p1,T7)-D1h(p4,T5)-d1h(p1,T1)=0 (7)
#2 high pressure feed water heater energy balance
D1h(p4,T5)+d5h(p2,T8)-D1h(p4,T6)-d2h(p2,T2)-d4h(p1,T7)=0 (8)
#3 high pressure feed water heater energy balance
D1h(p4,T6)+d6h(p3,T9)-D1h(p4,T10)-d3h(p3,T3)-d5h(p2,T8)=0 (9)
Deoxygenator energy balance
d8hsat(p5)-D3h(p6,T12)-d7h(p5,T11)-d6h(p3,T9)=0 (10)
Equation of constraint is designated as f successively1,f2,…f10, the number of equation of constraint is 10. In equation of constraint, h (p, T) represents the enthalpy of water or the water vapor calculated according to pressure p and temperature T; hsatP () is the enthalpy of saturation water corresponding to pressure p.
Gather the observed value x of one group of measuring parameter from power plant's online database under steam turbine steady state condition1,x2,…x21As shown in table 1. Wherein, service pump rate of discharge original measurement value is 833.47kg/s. Present case is in order to illustrate the method for under meter Failure detection and identification, it is assumed that the under meter generation fault that service pump rate of discharge is corresponding, and causes its observed value to be extremely increased to 875.65kg/s.
Class of precision according to each pressure transmitter, temperature sensor and under meter in system, the uncertainty σ of evaluation measuring parameter observed value1,σ2,…σ21, result is as shown in table 1.
Utilize the measuring parameter observed value in table 1, the uncertainty of observed value and the equation of constraint of system, it is possible to build data harmonization problem, as follows:
The nonlinear optimization method of belt restraining is utilized to solve this data harmonization problem, the measuring parameter coordination value obtainedAs shown in table 1, unmeasured estimates of parameters y1,y2,…y8As shown in table 2.
Solve the data harmonization minimum target functional value obtained
In present case, the equation of constraint number of system is 10, and unmeasured number of parameters is 8, and system redundancy is 10-8=2. Therefore, under meter failure determination threshold valueTo be degree of freedom be 2 the 1-5% fractile of card side's distribution. Due to data harmonization minimum target functional valueIt is greater than under meter failure determination threshold valueShow that system has under meter generation fault, it is necessary to one by one under meter is carried out fault identification.
When jth under meter is carried out fault identification, measuring parameter corresponding for this under meter is used as unmeasured parameter; Now, the total unmeasured number of parameters of system is 9, and system redundancy is 10-9=1, and new under meter failure determination threshold value isTo be degree of freedom be 1 the 1-5% fractile of card side's distribution. Respectively the under meter that the flow parameter of the flow of final feedwater, the flow of service pump outlet and deoxygenator condensed water entrance is corresponding being carried out fault identification, process is as follows:
1) under meter that the flow of final feedwater is corresponding is carried out fault identification, the flow finally fed water is used as unmeasured parameter, obtains new data harmonization minimum target functional valueNew data harmonization minimum target functional value is greater than under meter failure determination threshold valueShow that other under meter still has fault; Therefore, can not judge that the flow that the flow of final feedwater is corresponding counts fault under meter, it is necessary to continue next under meter is carried out fault identification;
2) under meter that the flow of service pump outlet is corresponding is carried out fault identification, the flow that service pump exports is used as unmeasured parameter, obtains new data harmonization minimum target functional valueNew data harmonization minimum target functional value is less than under meter failure determination threshold valueShow that fault does not occur other under meter; Now, it is possible to judge that the flow that the flow of service pump outlet is corresponding counts fault under meter. Under meter fault identification terminates.
Claims (2)
1. a turbine system under meter fault monitoring method, it is characterised in that the method carries out as follows:
1) gathering the pressure steady state condition, temperature and flow measurement parameter from power plant's online database, measuring parameter comprises: the pressure P of high pressure feed water heater extraction entrance1,P2,…PN, service pump outlet pressure PN+1, deoxygenator extraction entrance pressure PN+2, deoxygenator condensed water entrance pressure PN+3, wherein N is the number of high pressure feed water heater; The temperature T of high pressure feed water heater extraction entrance1,T2,…TN, high pressure feed water heater is to the temperature T of water outN+1,TN+2,…T2N, the hydrophobic outlet of high pressure feed water heater temperature T2N+1,T2N+2,…T3N, service pump outlet temperature T3N+1, deoxygenator extraction entrance temperature T3N+2, deoxygenator condensed water entrance temperature T3N+3; Final flow, the flow of service pump outlet and the flow D of deoxygenator condensed water entrance fed water1,D2,D3; Above-mentioned pressure, temperature and flow measurement parameter are designated as X successively1,X2,…Xn, the observed value of measuring parameter is designated as x1,x2,…xn, wherein n is the number of all measuring parameters;
2) according to the class of precision of pressure transmitter in turbine system, temperature sensor and under meter, the uncertainty of evaluation measuring parameter observed value, is designated as σ respectively1,σ2,…σn;
3) in system, unmeasured parameter comprises: the flow d that high pressure feed water heater draws gas1,d2,…dN, the hydrophobic flow d of high pressure feed water heaterN+1,dN+2,…d2N, the flow d that draws gas of deoxygenator2N+1, deaerator feedwater outlet flow d2N+2; Above-mentioned unmeasured parameter is designated as Y successively1,Y2,…Yp, wherein p is the number of all unmeasured parameters;
4) utilize mass balance and the energy balance relations of turbine system mesohigh feedwater heating apparatus, service pump and deoxygenator, and ignore the pressure drop of feedwater side and side of drawing gas in high pressure feed water heater, set up about measuring parameter X1,X2,…XnWith unmeasured parameter Y1,Y2,…YpConstrained equations fm, wherein m is the number of equation of constraint:
fm(X1, X2... Xn, Y1, Y2... Yp)=0 (1)
5) the observed value x of measuring parameter is utilized1, x2... xn, observed value uncertainty σ1, σ2... σnAnd Constrained equations fmCarry out data harmonization calculating so that data harmonization objective functionMinimum, and the coordination value of measuring parameterWith the estimated value y of unmeasured parameter1, y2... ypMeet system restriction system of equations:
6) the data harmonization minimum target functional value obtained will be solvedWith under meter failure determination threshold valueCompare; Detection thresholdThe 1-α fractile of card side's distribution of to be degree of freedom be r; R is system redundancy, equals the number p that equation of constraint number m subtracts unmeasured parameter, r=m-p; α is the significance level of under meter failure testing; IfShow that fault does not occur under meter;
7) ifShow under meter generation fault, then one by one under meter is carried out fault identification; When jth under meter is carried out fault identification, by measuring parameter X corresponding for this under meterjIt is used as unmeasured parameter Yp+1, re-start data harmonization and calculate:
The new data harmonization minimum target functional value obtained will be solvedWith new under meter failure determination threshold valueCompare; IfShowing that fault does not occur other under meter except jth under meter, then identify and occur the flow of fault to count jth under meter, fault identification terminates; IfShow that other under meter except jth under meter still has fault, continue next under meter is carried out fault identification;
8) by step 7) when one by one under meter being carried out fault identification, if all recognition results areShow there is multiple under meter generation fault; Then first judge in first round fault identification processMinimum flow counts fault under meter, and by measuring parameter X corresponding for this under meterjIt is used as unmeasured parameter Yp+1, then by step 7) one by one all the other under meters are carried out next and take turns fault identification, wherein, R takes turns the failure determination threshold value of under meter fault identification and is
9) as the wheel number R=r-1 of the fault identification completed, under meter fault identification terminates.
2. turbine system under meter fault monitoring method according to claim 1, it is characterised in that: data harmonization objective function is the observed value x of each measuring parameter1,x2,…xnWith coordination valueThe weighted quadratic of deviation and; Weighting coefficient is the inverse of the uncertainty square of measuring parameter observed value.
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| CN106199241B (en) * | 2016-06-24 | 2019-01-29 | 清华大学 | A kind of electric power station system Multiple faults diagnosis approach based on data harmonization and hypothesis testing |
| CN106097151B (en) * | 2016-06-24 | 2019-09-20 | 清华大学 | A method of the reduction power plant data uncertainty based on data harmonization |
| CN106289754B (en) * | 2016-09-28 | 2018-10-30 | 清华大学 | A kind of fired power generating unit component capabilities variation determination method based on Statistical Control Technique |
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| CN1853098A (en) * | 2003-07-18 | 2006-10-25 | 罗斯蒙德公司 | Process diagnostics |
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