CN116628976A - Comprehensive evaluation method for state change of hydraulic turbine unit equipment - Google Patents
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Abstract
The invention relates to the field of equipment operation monitoring, and discloses a comprehensive evaluation method for state change weights of water turbine set equipment, which comprises the following steps: dividing a power generation equipment system into a plurality of subsystems and a plurality of subsystems; acquiring degradation degree and health index of each level of system according to a preset degradation judgment rule; acquiring a state space and a corresponding fuzzy relation matrix of each subsystem according to a preset membership calculation rule; acquiring health state comments of each subsystem according to a preset state evaluation rule; the method comprises the steps of firstly calculating the degradation degree and the health index of the divided sub-systems, then carrying out weighted synthesis layer by layer to finally obtain the state evaluation value of the whole system, wherein the two weighted values are related to a fuzzy relation matrix, and the fuzzy relation matrix changes according to the state characteristic parameters of specific indexes in the sub-systems, so that the dynamic adjustment of the weighted term values can be realized, and the accuracy of the operation state evaluation of the power generation equipment is comprehensively improved.
Description
Technical Field
The invention relates to the field of equipment operation monitoring, in particular to a comprehensive evaluation method for state change of water turbine unit equipment.
Background
When the parameters of the power system detection equipment are selected, the detection parameter data are excessive, and complex coupling exists among the parameters, so that great influence is brought to model establishment, model calculation and computer calculation amount.
The health state of the power generation equipment is critical to the safe operation of the power grid, and the power equipment with poor health state can seriously threaten the safe operation level of the power grid and even cause power grid accidents. How to accurately evaluate the quality of the power equipment, discover the potential defects of the power equipment in time, avoid accidents, furthest improve the availability of the equipment and prolong the service life of the equipment has become an important subject in the power industry.
At present, the working state of the whole system is evaluated by adopting a mode of weighting and calculating the degradation degree of each detection parameter in the system, wherein the weighting coefficient is a fixed value, but if the weighting coefficient is a fixed value, when the individual key parameter is seriously deviated from a normal value or the individual key subsystem (equipment) is seriously degraded, the system is manually judged to be in shutdown inspection, and after a plurality of layers of weighting, the system can continue to operate; alternatively, when the individual key parameters deviate only slightly from normal values or the individual key subsystem (device) is slightly degraded, the manual judgment should be continued operation, and after several layers of weighting, the system judgment is impossible to continue operation; thus, a problem of erroneous judgment is likely to occur.
Disclosure of Invention
The invention aims to provide a comprehensive evaluation method for state change of water turbine unit equipment, which solves the following technical problems:
how to more accurately and objectively evaluate the running state of the power generation equipment.
The aim of the invention can be achieved by the following technical scheme:
a comprehensive evaluation method for state change of a water turbine unit device comprises the following steps:
dividing a power generation equipment system into a plurality of subsystems and a plurality of subsystems;
acquiring degradation degree and health index of each level of system according to a preset degradation judgment rule;
acquiring a state space and a corresponding fuzzy relation matrix of each subsystem according to a preset membership calculation rule;
acquiring health state comments of each subsystem according to the state space and the fuzzy relation matrix and a preset state evaluation rule;
wherein the power generation equipment system comprises the subsystem, the subsystem comprises the subsystem, and the health state comment comprises a good state, a better state, a general state and a quasi-fault state.
According to the technical scheme, the power generation equipment system to be detected can be divided in advance, then the degradation degree and the health index of the divided sub-systems are calculated, then the state evaluation value of the whole system is finally obtained through weighting and synthesis layer by layer, the two weighted values are related to the fuzzy relation matrix, the fuzzy relation matrix changes according to the state characteristic parameters of specific indexes in the sub-systems, dynamic adjustment of the weighted term values can be achieved, and the accuracy of the operation state evaluation of the power generation equipment is comprehensively improved.
As a further scheme of the invention: the preset degradation judgment rule includes:
acquiring an ith state characteristic x of a jth subsystem capable of characterizing the kth subsystem kji State characteristic parameter x as a function of time t kji (t)；
According to the state characteristic parameter x kji The degradation judgment type of (t) selecting the corresponding degradation degree d kji Is calculated by the method;
obtaining the degree of degradation d according to the selected calculation method kji And health index H kji ；
Wherein the degree of degradation d kji And the health index H kji The sum of (2) is a constant value.
As a further scheme of the invention: the preset degradation judgment rule includes:
when the degradation judgment class of the device is a first class, the calculation method includes:
wherein ,x0 Representing corresponding state characteristic parameter x kji Is used as a reference to the normal value of (a), and />Respectively expressed as a lower limit and an upper limit of a state characteristic parameter when corresponding equipment is required to be shut down, d i For the state characteristic parameter x kji A corresponding degradation value;
when the degradation judgment class of the device is the second class, the calculation method includes:
wherein ,representing the value of a state characteristic parameter, x, of a corresponding device that is to be shut down b A minimum optimal state characteristic parameter value expressed as a corresponding device;
when the degradation judgment class of the device is a third class, the calculation method includes:
d kji ＝(t/T) y
wherein T represents the running time of the equipment from the time of replacement, and T represents the allowable running time of the equipment; t is determined according to the average fault barrier interval time of the equipment;
wherein y is determined from a device degradation model of the device;
when the degradation judgment class of the device is a fourth class, the calculation method includes:
d kji ＝a*p 1 +b*p 2 +c*p 3
wherein the percentages of a, b and c are respectively scoring for maintenance personnel, detection personnel and operation personnel, the values of a, b and c are all between 0 and 1, 0 represents good, and 1 represents complete degradation; p1, p2, p3 are the corresponding weights, respectively, and p 1 +p 2 +p 3 ＝1。
As a further scheme of the invention: the y value determining method comprises the following steps:
if the device degradation model of the device is a proportional degradation function, y=1;
if the equipment degradation model of the equipment is an acceleration type degradation function, y >1;
and if the equipment degradation model of the equipment is a deceleration type degradation function, y <1.
As a further scheme of the invention: the preset degradation judgment rule includes:
according to the degree of degradation d kji Calculating degradation degree D of jth subsystem of kth subsystem kj The method comprises the following steps:
wherein ,the ith state characteristics x for the jth subsystem of the kth subsystem kji Is the initial association weight of a, alpha is a variable weight coefficient;
according to the degree of degradation D kj Calculating degradation degree D of kth subsystem k The method comprises the following steps:
wherein ,initial association weights for the jth subsystem of the kth subsystem; h kj Health index, D, for the jth subsystem of the kth subsystem kj A degree of degradation of a jth subsystem, which is a kth subsystem;
according to the degree of degradation D k Calculating a degree of degradation D of the power generation equipment system, namely:
wherein ,is the initial association weight for the kth subsystem.
As a further scheme of the invention: the preset membership calculation rule comprises the following steps:
according to the degree of degradation D kj Calculating a state space V of a j subsystem of a k subsystem kj ；
V kj ＝(V k1 、V k2 、V k3 、V k4 )
wherein ,Vk1 Degree estimate expressed as good state, V k2 Degree estimate expressed as better state, V k3 Degree estimate expressed as general state, V k4 A degree estimate expressed as a quasi-fault condition;
acquiring a fuzzy relation matrix R taking degradation degree as an evaluation standard of a kth subsystem according to a state space of the jth subsystem k ；
Wherein the fuzzy relation matrix R k The degree of degradation representing the characterization of the n state characteristic parameters of the kth subsystem is subordinate to the state space matrix V kj Membership matrix of (a) is provided.
As a further scheme of the invention: the preset state evaluation rule includes:
enabling an ith state feature x of an jth subsystem of a kth subsystem kji Variable weight W of (2) kji ；
According to the variable weight W kji Obtaining a variable weight vector W kj ；
W kj ＝(W kj1 ，W kj2 ...，W kjn )
Obtaining health status comment B of jth subsystem kj ；
B kj ＝W kj *R k
Comment B according to the health status kj The state of the corresponding subsystem is determined.
The invention has the beneficial effects that: according to the technical scheme, the power generation equipment system to be detected can be divided in advance, then the degradation degree and the health index of the divided sub-systems are calculated, then the state evaluation value of the whole system is finally obtained through weighting and synthesis layer by layer, the two weighted values are related to the fuzzy relation matrix, the fuzzy relation matrix changes according to the state characteristic parameters of specific indexes in the sub-systems, dynamic adjustment of the weighted term values can be achieved, and the accuracy of the operation state evaluation of the power generation equipment is comprehensively improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a basic flow diagram of a comprehensive evaluation method of equipment state change weight in the invention;
FIG. 2 is a diagram illustrating a system division of a power plant according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 and 2, the invention discloses a comprehensive evaluation method for state change of a water turbine unit, which comprises the following steps:
dividing a power generation equipment system into a plurality of subsystems and a plurality of subsystems;
acquiring degradation degree and health index of each level of system according to a preset degradation judgment rule;
acquiring a state space and a corresponding fuzzy relation matrix of each subsystem according to a preset membership calculation rule;
acquiring health state comments of each subsystem according to the state space and the fuzzy relation matrix and a preset state evaluation rule;
wherein the power generation equipment system comprises the subsystem, the subsystem comprises the subsystem, and the health state comment comprises a good state, a better state, a general state and a quasi-fault state.
In the embodiment of the invention, the power generation equipment system to be detected can be divided in advance, then the degradation degree and the health index of the divided sub-systems are calculated, then the state evaluation value of the whole system is finally obtained through weighting and synthesizing layer by layer upwards, the two weighted values are related to the fuzzy relation matrix, the fuzzy relation matrix changes according to the state characteristic parameters of specific indexes in the sub-systems, thus the dynamic adjustment of the weighted term values can be realized, and the accuracy of the operation state evaluation of the power generation equipment is comprehensively improved.
As a further scheme of the invention: the preset degradation judgment rule includes:
acquiring an ith state characteristic x of a jth subsystem capable of characterizing the kth subsystem kji State characteristic parameter x as a function of time t kji 9t)；
According to the state characteristic parameter x kji The degradation judgment type of (t) selecting the corresponding degradation degree d kji Is calculated by the method;
obtaining the degree of degradation d according to the selected calculation method kji And health index H kji ；
Wherein the degree of degradation d kji And the health index H kji The sum of (2) is a constant value.
According to the reliability theory, the degree of degradation d can be used kji Indicating the degree of deviation of the device from the normal state d kji The value range is [0,1 ]]. When the degree of deterioration d kji When the value is 1, indicating that the equipment is in a fault state; when the degree of degradation is 0, it indicates that the apparatus is in an optimal state; health index H kji Then in contrast, H kji The larger the indicating that the system or device is better; in the present embodiment, the degree of degradation d kji And the health index H kji And 1.
As a further scheme of the invention: the preset degradation judgment rule includes:
when the degradation judgment class of the device is the first class, for example, for the case that the state of the device can be reflected by the state monitoring parameters (including on-line and off-line monitoring parameters) and the performance parameters such as temperature, pressure and the like, the calculation method includes:
wherein ,x0 Representing corresponding state characteristic parameter x kji Is used as a reference to the normal value of (a), and />Respectively expressed as a lower limit and an upper limit of a state characteristic parameter when corresponding equipment is required to be shut down, d i For the state characteristic parameter x kji A corresponding degradation value;
when the degradation determination class of the device is the second class, for example, for a case where the state characteristic parameter threshold value is in a certain range (such as vibration, hunting, air gap, etc.), the calculation method includes:
wherein ,representing the value of a state characteristic parameter, x, of a corresponding device that is to be shut down b A minimum optimal state characteristic parameter value expressed as a corresponding device;
when the degradation judgment class of the device is a third class, such as for a device that is difficult to detect and that can obtain a failure interval statistic, the calculation method includes:
d kji ＝(t/T) y
wherein T represents the running time of the equipment from the time of replacement, and T represents the allowable running time of the equipment; t is determined according to the average fault barrier interval time of the equipment;
wherein y is determined from a device degradation model of the device;
when the degradation judgment class of the device is a fourth class, such as for a device that cannot be detected and has no fault interval statistic, the degradation degree thereof may be scored and estimated by maintenance personnel, detection personnel and operation personnel, the calculation method includes:
d kji ＝a*p 1 +b*p 2 +c*p 3
wherein the percentages of a, b and c are respectively scoring for maintenance personnel, detection personnel and operation personnel, the values of a, b and c are all between 0 and 1, 0 represents good, and 1 represents complete degradation; p1, p2, p3 are the corresponding weights, respectively, and p 1 +p 2 +p 3 ＝1。
As a further scheme of the invention: the y value determining method comprises the following steps:
if the equipment degradation model of the equipment is a proportional degradation function, reflecting that the state and the degradation degree are in a linear relation, and y=1;
if the equipment degradation model of the equipment is an acceleration type degradation function, reflecting an exponential acceleration relation between the state and the degradation degree, wherein y >1;
if the equipment degradation model of the equipment is a deceleration type degradation function, reflecting an exponential deceleration relationship between the state and the degradation degree, y <1.
As a further scheme of the invention: the preset degradation judgment rule includes:
according to the degree of degradation d kji Calculating degradation degree D of jth subsystem of kth subsystem kj The method comprises the following steps:
wherein ,the ith state characteristics x for the jth subsystem of the kth subsystem kji Is the initial association weight of a, alpha is a variable weight coefficient;
according to the degree of degradation D kj Calculating degradation degree D of kth subsystem k The method comprises the following steps:
wherein ,initial association weights for the jth subsystem of the kth subsystem; h kj Health index, D, for the jth subsystem of the kth subsystem kj A degree of degradation of a jth subsystem, which is a kth subsystem;
according to the degree of degradation D k Calculating a degree of degradation D of the power generation equipment system, namely:
wherein ,is the initial association weight for the kth subsystem.
As a further scheme of the invention: the preset membership calculation rule comprises the following steps:
according to the degree of degradation D kj Calculating a state space V of a j subsystem of a k subsystem kj ；
V kj ＝(V k1 、V k2 、V k3 、V k4 )
wherein ,Vk1 Degree estimate expressed as good state, V k2 Degree estimate expressed as better state, V k3 Degree estimate expressed as general state, V k4 A degree estimate expressed as a quasi-fault condition;
acquiring a fuzzy relation matrix R taking degradation degree as an evaluation standard of a kth subsystem according to a state space of the jth subsystem k ；
Wherein the fuzzy relation matrix R k The degree of degradation representing the characterization of the n state characteristic parameters of the kth subsystem is subordinate to the state space matrix V kj The membership degree matrix of the system can better reflect the fuzzy relation between the degradation degree and the state space.
As a further scheme of the invention: the preset state evaluation rule includes:
enabling an ith state feature x of an jth subsystem of a kth subsystem kji Variable weight W of (2) kji ；
According to the variable weight W kji Obtaining a variable weight vector W kj ；
W kj ＝(W kj1 ，W kj2 ...，W kjn )
Obtaining health status comment B of jth subsystem kj ；
B kj ＝W kj *R k
Comment B according to the health status kj The state of the corresponding subsystem is determined.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (7)
1. The comprehensive evaluation method for the state change of the water turbine unit equipment is characterized by comprising the following steps of:
dividing a power generation equipment system into a plurality of subsystems and a plurality of subsystems;
acquiring degradation degree and health index of each level of system according to a preset degradation judgment rule;
acquiring a state space and a corresponding fuzzy relation matrix of each subsystem according to a preset membership calculation rule;
acquiring health state comments of each subsystem according to the state space and the fuzzy relation matrix and a preset state evaluation rule;
wherein the power generation equipment system comprises the subsystem, the subsystem comprises the subsystem, and the health state comment comprises a good state, a better state, a general state and a quasi-fault state.
2. The method for comprehensively evaluating state variables of a water turbine unit according to claim 1, wherein the preset degradation judgment rule includes:
acquiring an ith state characteristic x of a jth subsystem capable of characterizing the kth subsystem kji Status characteristics over time tParameter x kji (t)；
According to the state characteristic parameter x kji The degradation judgment type of (t) selecting the corresponding degradation degree d kji Is calculated by the method;
obtaining the degree of degradation d according to the selected calculation method kji And health index H kji ；
Wherein the degree of degradation d kji And the health index H kji The sum of (2) is a constant value.
3. The method for comprehensively evaluating state variables of a water turbine unit according to claim 2, wherein the preset degradation judgment rule includes:
when the degradation judgment class of the device is a first class, the calculation method includes:
wherein ,x0 Representing corresponding state characteristic parameter x kji Is used as a reference to the normal value of (a), and />Respectively expressed as a lower limit and an upper limit of a state characteristic parameter when corresponding equipment is required to be shut down, d i For the state characteristic parameter x kji A corresponding degradation value;
when the degradation judgment class of the device is the second class, the calculation method includes:
wherein ,representing the value of a state characteristic parameter, x, of a corresponding device that is to be shut down b A minimum optimal state characteristic parameter value expressed as a corresponding device;
when the degradation judgment class of the device is a third class, the calculation method includes:
d kji ＝(t/T) y
wherein T represents the running time of the equipment from the time of replacement, and T represents the allowable running time of the equipment; t is determined according to the average fault barrier interval time of the equipment;
wherein y is determined from a device degradation model of the device;
when the degradation judgment class of the device is a fourth class, the calculation method includes:
d kji ＝a*p 1 +b*p 2 +c*p 3
wherein the percentages of a, b and c are respectively scoring for maintenance personnel, detection personnel and operation personnel, the values of a, b and c are all between 0 and 1, 0 represents good, and 1 represents complete degradation; p1, p2, p3 are the corresponding weights, respectively, and p 1 +p 2 +p 3 ＝1。
4. The method for comprehensively evaluating the state variables of the water turbine set equipment according to claim 3, wherein the method for determining the y value comprises the following steps:
if the device degradation model of the device is a proportional degradation function, y=1;
if the equipment degradation model of the equipment is an acceleration type degradation function, y >1;
and if the equipment degradation model of the equipment is a deceleration type degradation function, y <1.
5. The method for comprehensively evaluating state variables of water turbine set equipment according to claim 3, wherein the preset degradation judgment rule comprises:
according to the degree of degradation d kji Calculating degradation degree of jth subsystem of kth subsystemD kj The method comprises the following steps:
wherein ,the ith state characteristics x for the jth subsystem of the kth subsystem kji Is the initial association weight of a, alpha is a variable weight coefficient;
according to the degree of degradation D kj Calculating degradation degree D of kth subsystem k The method comprises the following steps:
H kj ＝1-D kj
wherein ,initial association weights for the jth subsystem of the kth subsystem; h kj Health index, D, for the jth subsystem of the kth subsystem kj A degree of degradation of a jth subsystem, which is a kth subsystem;
according to the degree of degradation D k Calculating a degree of degradation D of the power generation equipment system, namely:
wherein ,is the initial association weight for the kth subsystem.
6. The method for comprehensively evaluating state variables of a water turbine unit according to claim 5, wherein the preset membership calculation rule comprises:
according to the degree of degradation D kj Calculating a state space V of a j subsystem of a k subsystem kj ；
V kj ＝(V k1 、V k2 、V k3 、V k4 ）
wherein ,Vk1 Degree estimate expressed as good state, V k2 Degree estimate expressed as better state, V k3 Degree estimate expressed as general state, V k4 A degree estimate expressed as a quasi-fault condition;
acquiring a fuzzy relation matrix R taking degradation degree as an evaluation standard of a kth subsystem according to a state space of the jth subsystem k ；
Wherein the fuzzy relation matrix R k The degree of degradation representing the characterization of the n state characteristic parameters of the kth subsystem is subordinate to the state space matrix V kj Membership matrix of (a) is provided.
7. The method for comprehensively evaluating state variables of water turbine set equipment according to claim 6, wherein the preset state evaluation rule comprises:
enabling an ith state feature x of an jth subsystem of a kth subsystem kji Variable weight W of (2) kji ；
According to the variable weight W kji Obtaining a variable weight vector W kj ；
W kj ＝(W kj1 ，W kj2 ...，W kjn ）
Obtaining health status comment B of jth subsystem kj ；
B kj ＝W kj *R k
Comment B according to the health status kj The state of the corresponding subsystem is determined.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117236935A (en) * | 2023-11-10 | 2023-12-15 | 四川大学 | Weight self-adaptive water turbine health state assessment method containing subjective and objective information |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117236935A (en) * | 2023-11-10 | 2023-12-15 | 四川大学 | Weight self-adaptive water turbine health state assessment method containing subjective and objective information |
| CN117236935B (en) * | 2023-11-10 | 2024-01-26 | 四川大学 | Weight self-adaptive water turbine health state assessment method containing subjective and objective information |
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