CN106855054A - Pipeline oil transportation pump method for evaluating state and device - Google Patents
Pipeline oil transportation pump method for evaluating state and device Download PDFInfo
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- CN106855054A CN106855054A CN201510898193.1A CN201510898193A CN106855054A CN 106855054 A CN106855054 A CN 106855054A CN 201510898193 A CN201510898193 A CN 201510898193A CN 106855054 A CN106855054 A CN 106855054A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D15/00—Control, e.g. regulation, of pumps, pumping installations or systems
- F04D15/0088—Testing machines
Abstract
The invention discloses a kind of pipeline oil transportation pump method for evaluating state and device, belong to Oil & Gas Storage field.Methods described includes:Obtain the n measured value of state evaluation parameter that state evaluation parameter sets include;According to default Quantitative Evaluation Algorithm, the measured value to each state evaluation parameter in the state evaluation parameter sets carries out quantitative assessment, obtains quantitative assessment value set S;According to quantitative assessment value set S, the irrelevance between the measured value and ideal value of each state evaluation parameter is determined by irrelevance computing formula, obtain irrelevance set V;According to the irrelevance set V and quantitative assessment value set S, the state evaluation result HI of the pipeline oil transportation pump is determined by state evaluation formula;Finally according to the state evaluation result HI of the pipeline oil transportation pump, oil pipeline is run or safeguarded.The present invention realizes the quantitative assessment to oil transfer pump state.The present invention is used to evaluate the state of oil transfer pump.
Description
Technical field
The present invention relates to Oil & Gas Storage field, more particularly to a kind of pipeline oil transportation pump method for evaluating state and device.
Background technology
Pipeline oil transportation pump is a kind of equipment that the mechanical energy of prime mover is converted into liquid energy, pipeline oil transportation pump
Mainly rotated by prime mover impeller, liquid is done work, make liquid that the height of requirement is transported to by suction pit
Place requires the orientation of pressure.Pipeline oil transportation pump is the key equipment in oil pipeline, its status information energy
Enough reflect its reliability of operation, the operation and maintenance maintenance to oil pipeline have important reference significance.
In correlation technique, related sensor typically is installed at positions such as pipeline oil transportation pump bearing, bearing blocks,
The isoparametric measured value of vibration, temperature, leakage and noise of the pipeline oil transportation pump is detected by sensor, then
According to the measured value that sensor is detected, judge whether the pipeline oil transportation pump breaks down.
But, the measured value detected by sensor can only be used for judging whether the pipeline oil transportation pump occurs
Failure, the evaluation precision to the running status of pipeline oil transportation pump is relatively low.
The content of the invention
In order to solve the problems, such as correlation technique, the invention provides a kind of pipeline oil transportation pump method for evaluating state and
Device.The technical scheme is as follows:
On the one hand, there is provided a kind of pipeline oil transportation pump method for evaluating state, methods described includes:
Obtain the measured value U={ U of the n state evaluation parameter that state evaluation parameter sets include1, U2...,
Ui..., Un, the n is the integer more than 1, UiI-th measured value of state evaluation parameter is represented,
The i is more than or equal to 1, less than or equal to n, the n state evaluation that the state evaluation parameter sets include
Parameter is used to evaluate the running status of pipeline oil transportation pump;
According to default Quantitative Evaluation Algorithm, each the described state in the state evaluation parameter sets is commented
The measured value U of valency parameter carries out quantitative assessment, obtains the n quantitative assessment value set of quantitative assessment value composition
S={ S1, S2..., Si..., Sn};
According to the quantitative assessment value set S, determine that each described state evaluation is joined by irrelevance computing formula
Irrelevance between several measured values and ideal value, obtains the n irrelevance set V={ V of irrelevance composition1,
V2..., Vi..., Vn, the irrelevance computing formula is:Vi=| Si-Si'|/Si', wherein, ViIt is i-th
Irrelevance between the measured value and ideal value of individual state evaluation parameter, SiAnd Si' it is respectively i-th state evaluation
The quantitative assessment value and default ideal assessment value of the measured value of parameter;
According to the irrelevance set V, determine that formula determines penalty factor, the punishment by penalty factor
The factor determines that formula is:Wherein, maxV is represented and is taken the irrelevance set V
In maximum, β be default reference threshold, wherein e be natural constant;
According to the penalty factor and the quantitative assessment value set S, institute is determined by state evaluation formula
The state evaluation result HI of pipeline oil transportation pump is stated, the state evaluation formula is:Its
In, aiIt is the weight of default i-th state evaluation parameter;
State evaluation result HI according to the pipeline oil transportation pump, runs or safeguards oil pipeline.
Optionally, the n state evaluation parameter that the state evaluation parameter sets include be:Vibration parameters,
Temperature parameter, performance parameter, leakage parameters, noise parameters and lubricant parameter.
Optionally, the vibration parameters include that drive end bearing case vibrates subparameter and non-driven-end bearing case shakes
Mover parameter;
The temperature parameter includes drive end bearing temperature rise subparameter and non-driven-end bearing temperature rise subparameter;
The performance parameter includes lift subparameter and efficiency subparameter;
The leakage parameters include that drive end mechanical seal leakage state subparameter, anti-drive end mechanical seal are let out
Leakage state and pump housing leak condition subparameter;
The noise parameters include pump housing acoustic pressure subparameter;
The lubricant parameter includes that drive end bearing case lubricating oil state subparameter and non-driven-end bearing case moisten
Lubricating oil state subparameter.
Optionally, it is described according to default Quantitative Evaluation Algorithm, to the state evaluation parameter sets in it is each
The measured value U of the individual state evaluation parameter carries out quantitative assessment, obtains quantitative assessment value set S={ S1,
S2..., Si..., Sn, including:
Detect the state evaluation subparameter that any state evaluating includes in the state evaluation parameter sets
Number;
When the number of the state evaluation subparameter that any state evaluating includes is 1, according to first
Preset algorithm, determines the quantitative assessment value of any state evaluating;
When the number of the state evaluation subparameter that any state evaluating includes is more than 1, according to the
Two preset algorithms determine the quantitative assessment of any state evaluating o, and second preset algorithm is:Wherein, SoIt is the quantitative assessment value of any state evaluating o, k is described
The number of the state evaluation subparameter that any state evaluating o includes, αjIt is any state evaluation
J-th weight of state evaluation subparameter of parameter o, SojIt is the jth in any state evaluating o
The quantitative assessment value of individual state evaluation subparameter.
On the other hand, there is provided a kind of pipeline oil transportation pump state evaluation device, described device includes:
Acquiring unit, for obtaining the n measurement of state evaluation parameter that state evaluation parameter sets include
Value U={ U1, U2..., Ui..., Un, the n is the integer more than 1, UiRepresent i-th state
The measured value of evaluating, the i is more than or equal to 1, less than or equal to n, in the state evaluation parameter sets
Including n state evaluation parameter be used to evaluate the running status of pipeline oil transportation pump;
Evaluation unit, for according to default Quantitative Evaluation Algorithm, in the state evaluation parameter sets
The measured value U of each state evaluation parameter carries out quantitative assessment, obtains what n quantitative assessment value was constituted
Quantitative assessment value set S={ S1, S2..., Si..., Sn};
First determining unit, for according to the quantitative assessment value set S, being determined by irrelevance computing formula
Irrelevance between the measured value and ideal value of each state evaluation parameter, obtains n irrelevance composition
Irrelevance set V={ V1, V2..., Vi..., Vn, the irrelevance computing formula is:Vi=| Si-Si'|/Si',
Wherein, ViIt is the irrelevance between the measured value and ideal value of i-th state evaluation parameter, SiAnd Si' be respectively
The quantitative assessment value and default ideal assessment value of i-th measured value of state evaluation parameter;
Second determining unit, for according to the irrelevance set V, determining that formula determines by penalty factor
Penalty factor, the penalty factor determines that formula is:Wherein, maxV tables
Show the maximum taken in the irrelevance set V, β is default reference threshold;
3rd determining unit, for according to the penalty factor and the quantitative assessment value set S, passing through
State evaluation formula determines the state evaluation result HI of the pipeline oil transportation pump, and the state evaluation formula is:Wherein, aiIt is the weight of default i-th state evaluation parameter;
Operation maintenance unit, for the state evaluation result HI according to the pipeline oil transportation pump, runs or safeguards
Oil pipeline.
Optionally, the n state evaluation parameter that the state evaluation parameter sets include be:Vibration parameters,
Temperature parameter, performance parameter, leakage parameters, noise parameters and lubricant parameter.
Optionally, the vibration parameters include that drive end bearing case vibrates subparameter and non-driven-end bearing case shakes
Mover parameter;
The temperature parameter includes drive end bearing temperature rise subparameter and non-driven-end bearing temperature rise subparameter;
The performance parameter includes lift subparameter and efficiency subparameter;
The leakage parameters include that drive end mechanical seal leakage state subparameter, anti-drive end mechanical seal are let out
Leakage state and pump housing leak condition subparameter;
The noise parameters include pump housing acoustic pressure subparameter;
The lubricant parameter includes that drive end bearing case lubricating oil state subparameter and non-driven-end bearing case moisten
Lubricating oil state subparameter.
Optionally, the evaluation unit, is additionally operable to:
Detect the state evaluation subparameter that any state evaluating includes in the state evaluation parameter sets
Number;
When the number of the state evaluation subparameter that any state evaluating includes is 1, according to first
Preset algorithm, determines the quantitative assessment value of any state evaluating;
When the number of the state evaluation subparameter that any state evaluating includes is more than 1, according to the
Two preset algorithms determine the quantitative assessment of any state evaluating o, and second preset algorithm is:Wherein, SoIt is the quantitative assessment value of any state evaluating o, k is described
The number of the state evaluation subparameter that any state evaluating o includes, αjIt is any state evaluation
J-th weight of state evaluation subparameter of parameter o, SojIt is the jth in any state evaluating o
The quantitative assessment value of individual state evaluation subparameter.
The beneficial effect that technical scheme provided in an embodiment of the present invention is brought is:
A kind of pipeline oil transportation pump method for evaluating state provided in an embodiment of the present invention and device, can be according to default
Quantitative Evaluation Algorithm, the measured value U of each state evaluation parameter to getting carries out quantitative assessment, obtains
To quantitative assessment value set S, and according to quantitative assessment value set S, by irrelevance computing formula
Vi=| Si-Si'|/Si' the irrelevance that determines between the measured value and ideal value of each state evaluation parameter, and be used for
The penalty factor of the irrelevance is corrected, afterwards, can be according to the penalty factor and the quantitative assessment value collection
S is closed, by state evaluation formulaDetermine the state evaluation result HI of the pipeline oil transportation pump,
And according to the state evaluation result HI of the pipeline oil transportation pump, run or safeguard oil pipeline.The embodiment of the present invention
The pipeline oil transportation pump method for evaluating state of offer can carry out quantitative commenting to the running status of pipeline oil transportation pump
Valency, the precision of the evaluation result is higher, and the operation and maintenance to oil pipeline have important directive significance.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, institute in being described to embodiment below
The accompanying drawing for needing to use is briefly described, it should be apparent that, drawings in the following description are only the present invention
Some embodiments, for those of ordinary skill in the art, on the premise of not paying creative work,
Other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of flow chart of pipeline oil transportation pump method for evaluating state provided in an embodiment of the present invention;
Fig. 2 is the flow chart of another pipeline oil transportation pump method for evaluating state provided in an embodiment of the present invention;
Fig. 3 is a kind of structural representation of pipeline oil transportation pump state evaluation device provided in an embodiment of the present invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing to the present invention
Implementation method is described in further detail.
A kind of pipeline oil transportation pump method for evaluating state is the embodiment of the invention provides, referring to Fig. 1, the method includes:
The n measured value of state evaluation parameter that step 101, acquisition state evaluation parameter sets include
U={ U1, U2..., Ui..., Un, the n is the integer more than 1.
UiI-th measured value of state evaluation parameter is represented, the i is more than or equal to 1, less than or equal to n, the shape
The n state evaluation parameter that state evaluating set includes is used to evaluate the running status of pipeline oil transportation pump.
Step 102, according to default Quantitative Evaluation Algorithm, to each shape in the state evaluation parameter sets
The measured value U of state evaluating carries out quantitative assessment, obtains the n quantitative assessment value of quantitative assessment value composition
Set S={ S1, S2..., Si..., Sn}。
Wherein, SiRepresent i-th measured value U of state evaluation parameteriQuantitative assessment value, the i is more than or equal to
1, less than or equal to n.
Step 103, according to quantitative assessment value set S, each state is determined by irrelevance computing formula
Irrelevance between the measured value and ideal value of evaluating, obtains the n irrelevance set of irrelevance composition
V={ V1, V2..., Vi..., Vn}。
The irrelevance computing formula is:Vi=| Si-Si'|/Si', wherein, ViIt is i-th survey of state evaluation parameter
Irrelevance between value and ideal value, SiAnd Si' it is respectively quantifying for i-th measured value of state evaluation parameter
Evaluation of estimate and default ideal assessment value, wherein | | represent it is right | | in content take absolute value.
Step 104, according to irrelevance set V, determine that formula determines penalty factor by penalty factor.
The penalty factor determines that formula is:Wherein, maxV is represented and is taken the deviation
Maximum in degree set V, β is default reference threshold, and wherein e is natural constant.
Step 105, according to the penalty factor and quantitative assessment value set S, it is true by state evaluation formula
The state evaluation result HI of the fixed pipeline oil transportation pump.
The state evaluation formula is:Wherein, aiFor default i-th state evaluation is joined
Several weights.Expression is sued for peace to the content in bracket from i=1 to i=n.
Step 106, the state evaluation result HI according to the pipeline oil transportation pump, run or safeguard oil pipeline.
In sum, a kind of pipeline oil transportation pump method for evaluating state provided in an embodiment of the present invention, can basis
Default Quantitative Evaluation Algorithm, the measured value U of each state evaluation parameter to getting carries out quantitative assessment,
Quantitative assessment value set S is obtained, and according to quantitative assessment value set S, by irrelevance computing formula
Vi=| Si-Si'|/Si' the irrelevance that determines between the measured value and ideal value of each state evaluation parameter, and be used for
The penalty factor of the irrelevance is corrected, afterwards, can be according to the penalty factor and the quantitative assessment value collection
S is closed, by state evaluation formulaDetermine the state evaluation result HI of the pipeline oil transportation pump,
And according to the state evaluation result HI of the pipeline oil transportation pump, run or safeguard oil pipeline.The embodiment of the present invention
The pipeline oil transportation pump method for evaluating state of offer can carry out quantitative commenting to the running status of pipeline oil transportation pump
Valency, the precision of the evaluation result is higher, and the operation and maintenance to oil pipeline have important directive significance.
Optionally, the state evaluation parameter sets include:Vibration parameters, temperature parameter, performance parameter, let out
Leakage parameter, noise parameters and lubricant parameter.
Optionally, the vibration parameters include that drive end bearing case vibrates subparameter and the vibration of non-driven-end bearing case
Subparameter;
The temperature parameter includes drive end bearing temperature rise subparameter and non-driven-end bearing temperature rise subparameter;
The performance parameter includes lift subparameter and efficiency subparameter;
The leakage parameters include drive end mechanical seal leakage state subparameter, anti-drive end mechanical seal leakage
State and pump housing leak condition subparameter;
The noise parameters include pump housing acoustic pressure subparameter;
The lubricant parameter includes that drive end bearing case lubricating oil state subparameter and non-driven-end bearing case lubricate
Oil condition subparameter.
Optionally, this is according to default Quantitative Evaluation Algorithm, should to each in the state evaluation parameter sets
The measured value U of state evaluation parameter carries out quantitative assessment, obtains quantitative assessment value set S={ S1, S2...,
Si..., Sn, including:
Detect the state evaluation subparameter that any state evaluating includes in the state evaluation parameter sets
Number;
It is pre- according to first when the number of the state evaluation subparameter that any state evaluating includes is 1
Imputation method, determines the quantitative assessment value of any state evaluating;
When the number of the state evaluation subparameter that any state evaluating includes is more than 1, according to second
Preset algorithm determines the quantitative assessment of any state evaluating o, and second preset algorithm is:Wherein, So is the quantitative assessment value of any state evaluating o, and k is any for this
The number of the state evaluation subparameter that state evaluation parameter o includes, αjIt is any state evaluating o
J-th weight of state evaluation subparameter, the j be more than or equal to 1, less than or equal to k.It is any shape
The quantitative assessment value of j-th state evaluation subparameter in state evaluating o.
In sum, a kind of pipeline oil transportation pump method for evaluating state provided in an embodiment of the present invention, can basis
Default Quantitative Evaluation Algorithm, the measured value U of each state evaluation parameter to getting carries out quantitative assessment,
Quantitative assessment value set S is obtained, and according to quantitative assessment value set S, by irrelevance computing formula
Vi=| Si-Si'|/Si' the irrelevance that determines between the measured value and ideal value of each state evaluation parameter, and be used for
The penalty factor of the irrelevance is corrected, afterwards, can be according to the penalty factor and the quantitative assessment value collection
S is closed, by state evaluation formulaDetermine the state evaluation result HI of the pipeline oil transportation pump,
And according to the state evaluation result HI of the pipeline oil transportation pump, run or safeguard oil pipeline.The embodiment of the present invention
The pipeline oil transportation pump method for evaluating state of offer can carry out quantitative commenting to the running status of pipeline oil transportation pump
Valency, the precision of the evaluation result is higher, and the operation and maintenance to oil pipeline have important directive significance.
Fig. 2 is another pipeline oil transportation pump method for evaluating state provided in an embodiment of the present invention, as shown in Fig. 2
The method includes:
The n measured value of state evaluation parameter that step 201, acquisition state evaluation parameter sets include
U={ U1, U2..., Ui..., Un}.Perform step 202.
The n is the integer more than 1, UiI-th measured value of state evaluation parameter is represented, the i is more than or equal to
1, less than or equal to n, i.e. 1≤i≤n, the n state evaluation parameter that the state evaluation parameter sets include is used
In the running status for evaluating pipeline oil transportation pump.
In embodiments of the present invention, 6 state evaluation parameters can be included in the state evaluation parameter sets,
6 state evaluation parameters can be:Vibration parameters, temperature parameter, performance parameter, leakage parameters, make an uproar
Sound parameter and lubricant parameter.Therefore, the measured value U of the state evaluation parameter for being obtained in the embodiment of the present invention
Can be:U={ U1, U2..., U6, wherein, U1, U2..., U6Vibration parameters, temperature are represented respectively
The measured value of degree parameter, performance parameter, leakage parameters, noise parameters and lubricant parameter.Actually detected
When, in order to improve the precision of state-detection, the vibration parameters can include that drive end bearing case vibrates subparameter
Subparameter is vibrated with non-driven-end bearing case;The temperature parameter includes drive end bearing temperature rise subparameter and non-drive
Moved end bearing temperature rise subparameter;The performance parameter includes lift subparameter and efficiency subparameter;The leakage parameters
Including the leakage of drive end mechanical seal leakage state subparameter, anti-drive end mechanical seal leakage state and the pump housing
State subparameter;The noise parameters include pump housing acoustic pressure subparameter;The lubricant parameter includes drive end bearing
Case lubricating oil state subparameter and non-driven-end bearing case lubricating oil state subparameter.
Example, it is assumed that (the m when metered flow of pipeline oil transportation pump to be evaluated is 3100 cubic metres per3/ h),
Rated head is 220m, 10 MPas of design pressure (MPa), and rated efficiency is 89%, the oil transfer pump work
After industry is run 1000 hours, the measured value of the state evaluation parameter of the oil transfer pump detected by sensor can
With as shown in table 1.Wherein, the measured value of the lift subparameter in performance parameter is U31=229m, efficiency
The measured value of parameter is U32=88.2%, the measured value of drive end bearing case in vibration parameters vibration subparameter is
U11=2.82mm/s, the measured value of non-driven-end bearing case vibration subparameter is U12=3.02mm/s, noise ginseng
The measured value of the pump housing acoustic pressure subparameter in number is U5=86.2dB.
Table 1
It should be noted that in actual applications, in order to improve the precision to pipeline oil transportation pump state evaluation,
In addition to detecting the parameters shown in above-mentioned table 1, can also to the actual flow of oil transfer pump, environment temperature,
Bearing type and the isoparametric measured value of horizontal vibration are detected that the embodiment of the present invention is not limited this.
Step 202, detect state evaluation that any state evaluating includes in the state evaluation parameter sets
The number of parameter.
When the number of the state evaluation subparameter that any state evaluating includes is 1, step 203 is performed;
When the number of the state evaluation subparameter that any state evaluating includes is more than 1, step 204 is performed.
In embodiments of the present invention, for each state evaluation parameter, all it is previously provided with and corresponding quantitatively comments
Valency algorithm, according to the corresponding Quantitative Evaluation Algorithm and the measured value for getting, can respectively obtain each
The quantitative assessment value of state evaluation parameter.For example, the quantitative assessment value S of vibration parameters1, temperature parameter determines
Amount evaluation of estimate S2, performance parameter quantitative assessment value S3, leakage parameters quantitative assessment value S4, noise parameters
Quantitative assessment value S5With the quantitative assessment value S of lubricant parameter6。
Due to potentially including multiple state evaluation subparameters in some state evaluation subparameters, therefore to each
When the measured value of state evaluation parameter carries out quantitative assessment, in addition it is also necessary in first detecting the state evaluation parameter sets
The number of the state evaluation subparameter that any state evaluating includes.Example, from shown in above-mentioned table 1
State evaluation subparameter understands, wherein vibration parameters, temperature parameter, performance parameter, leakage parameters, noise
The number of the state evaluation subparameter that parameter and lubricant parameter include is respectively:2,2,2,3
It is individual, 1 and 2.Therefore it is determined that noise parameters quantitative assessment value when, step 203 can be performed,
When determining the quantitative assessment value of vibration parameters, temperature parameter, performance parameter, leakage parameters and lubricant parameter,
Step 204 can be performed.
Step 203, according to the first preset algorithm, determine the quantitative assessment value of any state evaluating.Hold
Row step 205.
When the number of the state evaluation subparameter that any state evaluating includes is 1, can direct root
According to the first preset algorithm, the quantitative assessment value of any state evaluating is determined.Example, due to state
The state evaluation subparameter that noise parameters in evaluating set include is 1, therefore can be directly according to first
Preset algorithm, determines the quantitative assessment value S of the noise parameters5.For the quantitative assessment of noise parameters, this
One preset algorithm can be:
By the measured value U of the noise parameters shown in table 15=86.2dB brings above formula into, you can obtain the noise
The quantitative assessment value of parameter:S5=0.885
Step 204, the quantitative assessment that any state evaluating o is determined according to the second preset algorithm.Perform
Step 205.
Second preset algorithm is:Wherein,It is sum formula, SoFor this is any
The quantitative assessment value of state evaluation parameter o, k is state evaluation that any state evaluating o includes
The number of parameter, αjIt is j-th weight of state evaluation subparameter of any state evaluating o, wherein,
J meets:1≤j≤k, SojIt is quantifying for j-th state evaluation subparameter in any state evaluating o
Evaluation of estimate.
Example, for the vibration parameters in state evaluation parameter sets, temperature parameter, performance parameter, let out
Leakage parameter and lubricant parameter, due to including at least 2 subparameters in 5 parameters, it is therefore desirable to root
The quantitative assessment value of parameters is determined according to the second preset algorithm.
(1) for vibration parameters measured value quantitative assessment, can according to International Organization for standardization (English:
International Organization for Standardization;Referred to as:ISO) 10816-3 vibration monitorings assessment
Vibration separation situation in standard, to setting evaluation result scope in the other vibration measurements of different vibration levels,
The evaluation result scope of the setting can be as shown in table 2, and wherein the measured value of vibration parameters is less than 2.3mm/s
When, its evaluation result can be 1.0, and the measured value of vibration parameters is more than or equal to 2.3mm/s, less than 4.5mm/s
When, its evaluation result may range from 0.8 to 1.0.
Table 2
In embodiments of the present invention, can be according to the specific measured value of the vibration parameters for actually getting, correspondence
In the evaluation result scope shown in above-mentioned table 2, quantitative assessment is carried out using the method for linear interpolation.For example,
As known from Table 1, the drive end bearing case in vibration parameters vibrates the measured value U of subparameter11=2.82mm/s,
Non-driven-end bearing case vibrates the measured value U of subparameter12=3.02mm/s, according to known to table 2, two sons
The measured value of parameter belongs to B grades, then the method according to linear interpolation is wrapped in can respectively obtaining vibration parameters
The quantitative assessment value S of the two state evaluation subparameters for including11And S12:
S11=1.0- (1.0-0.8) × (U11- 2.3)/(4.5-2.3)=0.953,
S12=1.0- (1.0-0.8) (U12- 2.3)/(4.5-2.3)=0.935,
In above formula, 1.0 and 0.8 is respectively the upper and lower bound of the evaluation result corresponding to B grades, 4.5 and 2.3
The upper and lower bound of the measured value corresponding to respectively B grades.Assuming that two states that the vibration parameters include
Evaluate the weight α of subparameter11And α120.5 is disposed as, then according to above-mentioned second preset algorithm:
The quantitative assessment value of the measured value of the vibration parameters can be obtained:
S1=α11×S11+α12×S12=0.944.
(2) for temperature parameter measured value quantitative assessment, can be according to following temperature in the embodiment of the present invention
Degree Quantitative Evaluation Algorithm determines j-th quantitative assessment value S2j of subparameter:
It can be seen from measured value acquired in table 1, drive end bearing temperature rise subparameter in temperature parameter
Measured value U21=25 DEG C, the measured value U of non-driven-end bearing temperature rise subparameter22=50 DEG C, by this two measurements
Value brings said temperature Quantitative Evaluation Algorithm into respectively, can obtain the measured value of drive end bearing temperature rise subparameter
Quantitative assessment value S21=1, the quantitative assessment value S of the measured value of non-driven-end bearing temperature rise subparameter22=0.88.
Assuming that two weight αs of state evaluation subparameter that temperature parameter includes21And α22It is disposed as 0.5,
Then according to above-mentioned second preset algorithm:The quantitative assessment value of the temperature parameter can be obtained:
S2=α21×S21+α22×S22=0.94
(3) for performance parameter measured value quantitative assessment, can be according to pipeline oil transportation pump in operating condition
Flow is 1867m3Actual measured value during/h, compares, to this by with the oil transfer pump performance curve that dispatches from the factory
The lift subparameter and efficiency subparameter that performance parameter includes carry out quantitative assessment.When determining quantitative assessment value,
First according to rate of change formula can respectively determine the rate of change of lift and efficiency, the rate of change formula is:
Afterwards, the lift subparameter and efficiency can be determined according to default performance parameter quantitative assessment formula
The quantitative assessment value of parameter:
It can be seen from table 1, the actual measured value of lift subparameter is U31=229m, its rated head is 220m,
Then according to above-mentioned rate of change formula, it may be determined that the rate of change of lift subparameter
Δh31=| (220-229)/220 |=0.4%, the actual measured value of efficiency subparameter is U32=88.2%, its specified effect
Rate is 89%, then according to above-mentioned rate of change formula, it may be determined that the rate of change of efficiency subparameter
Δh32=| (89%-88.2%)/89% |=0.9%, then will respectively bring above-mentioned performance ginseng into the rate of change of two subparameters
Number quantitative assessment formula, it may be determined that the quantitative assessment value of the measured value of lift subparameter and efficiency subparameter is equal
It is 1.Assuming that the default weight α of the lift subparameter31It is 0.6, the default weight α of efficiency subparameter32It is 0.4,
Then according to above-mentioned second preset algorithm:The measured value that the performance parameter can be obtained is determined
Measuring evaluation of estimate is:
S3=α31×S31+α32×S32=1.
(4) quantitative assessment of the measured value of leakage parameters, drive end and non-driven that the leakage parameters include
The quantitative assessment formula of the mechanical seal leakage state subparameter at end is as follows:
It can be seen from table 1, the measured value of the mechanical seal leakage state subparameter of the drive end is:U41=1 drop
/ minute, the measured value of the mechanical seal leakage state subparameter of the anti-drive end is:U42=3 drops/minute, root
According to above-mentioned quantitative assessment formula it was determined that the mechanical seal leakage state subgroup ginseng of the drive end and anti-drive end
The quantitative assessment value S of several measured values41And S42It is 1.
The quantitative assessment formula of the pump housing that the leakage parameters include leakage subparameter is:
As known from Table 1, the measured value of pump housing leakage subparameter is:U43=leakage is had no, therefore can be true
The quantitative assessment value S of the measured value of fixed pump housing leakage subparameter43It is 1.
Assuming that drive end mechanical seal leakage state subparameter, anti-drive end in the leakage parameters is mechanical close
Envelope leak condition subparameter and the pump housing leak the default weight α of subparameter41、α42And α43Respectively 0.3,0.3
With 0.4, then according to above-mentioned second preset algorithm:The measurement of the leakage parameters can be obtained
The quantitative assessment value of value is:
S4=α41×S41+α42×S42+α43×S43=1.
(5) quantitative assessment of the measured value of lubricant parameter, in embodiments of the present invention, for the lubricating oil
The quantitative assessment of parameter can contemplate the actual conditions of pipeline production scene, the lubrication oily according to table 3
State and the corresponding relation of quantitative assessment value, the quantitative assessment value of the lubricating oil is determined using observation.
Table 3
As known from Table 1, in the lubricant parameter drive end and the lubricating oil state subparameter of anti-drive end
Measured value U61And U62Be it is outstanding, therefore in conjunction with table 3 understand, two lubricating oil state subparameters
Quantitative assessment value is 1, it is assumed that the default weight α of two subparameters61And α62It is 0.5.Then according to above-mentioned
Second preset algorithm:The quantitative assessment value of the measured value of the lubricant parameter can be obtained
For:S6=α61×S61+α62×S62=1.
Combining step 203 and above-mentioned (1) to (5) can obtain 6 measurements of state evaluation parameter
The quantitative assessment value of value, and can by 6 quantitative assessment values composition quantitative assessment value set S=0.944,
0.94,1,1,0.885,1 }.
Step 205, according to quantitative assessment value set S, each state is determined by irrelevance computing formula
Irrelevance between the measured value and ideal value of evaluating, obtains the n irrelevance set of irrelevance composition
V={ V1, V2..., Vi..., Vn}.Perform step 206.
The irrelevance computing formula is:Vi=| Si-Si'|/Si', wherein, ViIt is i-th survey of state evaluation parameter
Irrelevance between value and ideal value, SiAnd Si' it is respectively quantifying for i-th measured value of state evaluation parameter
Evaluation of estimate and default ideal assessment value.
In the disclosed embodiments, the default ideal assessment value of each state evaluation parameter can be respectively provided with
It is 1.When state evaluation parameter sets include 6 state evaluation parameters:Vibration parameters, temperature parameter, property
Can parameter, leakage parameters, noise parameters and during lubricant parameter, 6 state evaluation parameters it is default
Ideal assessment value set can be S'={ 1,1,1,1,1,1 }.According to quantitative assessment value set S=0.944,
, and above-mentioned irrelevance computing formula 0.94,1,1,0.885,1 }:Vi=| Si-Si'|/Si', it may be determined that should
The irrelevance of 6 state evaluation parameters is respectively:0.056,0.06,0,0,0.115 and 0, and according to this 6
Individual irrelevance Composition deviation degree set V={ 0.056,0.06,0,0,0.115,0 }.
Step 206, according to irrelevance set V, determine that formula determines penalty factor by penalty factor.
Perform step 207.
The penalty factor determines that formula is:Wherein, maxV is represented and is taken the deviation
Maximum in degree set V, β is default reference threshold.The penalty factor can be to deviateing perfect condition
State evaluation parameter be modified, and then improve to the precision of pipeline oil transportation pump state evaluation.
Example, when irrelevance collection is combined into V={ 0.056,0.06,0,0,0.115,0 }, then
MaxV=max { 0.056,0.06,0,0,0.115,0 }=0.115, default reference threshold β=0.1,
0 determines formula according to above-mentioned penalty factor, due to maxV=0.115, more than reference threshold 0.1, therefore can be with
Determine penalty factor=e0.1-0.115=0.985.
Step 207, according to the penalty factor and quantitative assessment value set S, it is true by state evaluation formula
The state evaluation result HI of the fixed pipeline oil transportation pump.Perform step 208.
The state evaluation formula is:Wherein, aiFor default i-th state evaluation is joined
Several weights.
Due to each influence of state evaluation parameter to oil transfer pump actual motion state in state evaluation parameter sets
Degree is different, therefore, it is determined that can be each state evaluation parameter during oil transfer pump state evaluation result
It is respectively allocated default weight.Example, it is assumed that the vibration parameters that include for state evaluation parameter sets,
Temperature parameter, performance parameter, leakage parameters, noise parameters and lubricant parameter, default weight sets are combined into
A={ a1, a2, a3, a4, a5, a6}={ 0.2,0.16,0.2,0.16,0.12,0.16 }, wherein weight a1
To a6Respectively vibration parameters, temperature parameter, performance parameter, leakage parameters, noise parameters and lubricating oil are joined
Several default weights.Then according to quantitative assessment set S={ 0.944,0.94,1,1,0.885,1 } and punishment
Factor C, the state evaluation result that can determine pipeline oil transportation pump by state evaluation formula is:HI=0.985
× (0.944 × 0.2+0.94 × 0.16+1 × 0.2+1 × 0.16+0.885 × 0.12+1 × 0.16)=0.951.
Step 208, the state evaluation result HI according to the pipeline oil transportation pump, run or safeguard oil pipeline.
According to the state evaluation result HI that above-mentioned steps are obtained, normalizing can be carried out to the state of pipeline oil transportation pump
The quantitative assessment of change, the scope of evaluation result HI is 0 to 1, HI closer to 1, shows that the pipeline is defeated
The state of oil pump is better.In actual applications, normal operation threshold can also be preset, when oil transfer pump
When state evaluation result HI is more than the normal operation threshold, show that the oil pipeline can normally run, when defeated
When the state evaluation result HI of oil pump is less than the normal operation threshold, then demonstrate the need for tieing up oil pipeline
Repair.Example, it is assumed that it is 0.75 to set normal operation threshold, then due to determine pipeline oil transportation pump state
Evaluation result HI=0.951, more than 0.75, then can normally run the oil pipeline.
In sum, a kind of pipeline oil transportation pump method for evaluating state provided in an embodiment of the present invention, can basis
Default Quantitative Evaluation Algorithm, the measured value U of each state evaluation parameter to getting carries out quantitative assessment,
Quantitative assessment value set S is obtained, and according to quantitative assessment value set S, by irrelevance computing formula
Vi=| Si-Si'|/Si' the irrelevance that determines between the measured value and ideal value of each state evaluation parameter, and be used for
The penalty factor of the irrelevance is corrected, afterwards, can be according to the penalty factor and the quantitative assessment value collection
S is closed, by state evaluation formulaDetermine the state evaluation result HI of the pipeline oil transportation pump,
And according to the state evaluation result HI of the pipeline oil transportation pump, run or safeguard oil pipeline.The embodiment of the present invention
The pipeline oil transportation pump method for evaluating state of offer can carry out quantitative commenting to the running status of pipeline oil transportation pump
Valency, the precision of the evaluation result is higher, and the operation and maintenance to oil pipeline have important directive significance.
Fig. 3 is a kind of structural representation of pipeline oil transportation pump state evaluation device provided in an embodiment of the present invention,
As shown in figure 3, the device includes:
Acquiring unit 301, for obtaining the n survey of state evaluation parameter that state evaluation parameter sets include
Value U={ U1, U2..., Ui..., Un, the n is the integer more than 1, UiRepresent i-th state
The measured value of evaluating, the i is more than or equal to 1, and less than or equal to n, the state evaluation parameter sets include
N state evaluation parameter be used to evaluate the running status of pipeline oil transportation pump.
Evaluation unit 302, for according to default Quantitative Evaluation Algorithm, in the state evaluation parameter sets
The measured value U of each state evaluation parameter carries out quantitative assessment, obtains determining for n quantitative assessment value composition
Amount evaluates value set S={ S1, S2..., Si..., Sn}。
First determining unit 303, it is true by irrelevance computing formula for according to quantitative assessment value set S
Irrelevance between the measured value and ideal value of fixed each state evaluation parameter, obtains n irrelevance composition
Irrelevance set V={ V1, V2..., Vi..., Vn, the irrelevance computing formula is:Vi=| Si-Si'|/Si',
Wherein, ViIt is the irrelevance between the measured value and ideal value of i-th state evaluation parameter, SiAnd Si' be respectively
The quantitative assessment value and default ideal assessment value of i-th measured value of state evaluation parameter.
Second determining unit 304, for according to irrelevance set V, determining that formula determines by penalty factor
Penalty factor, the penalty factor determines that formula is:Wherein, maxV is represented
The maximum in irrelevance set V is taken, β is default reference threshold.
3rd determining unit 305, for according to the penalty factor and quantitative assessment value set S, by shape
State judgement schematics determine the state evaluation result HI of the pipeline oil transportation pump, and the state evaluation formula is:Wherein, aiIt is the weight of default i-th state evaluation parameter.
Operation maintenance unit 306, for the state evaluation result HI according to the pipeline oil transportation pump, runs or ties up
Shield oil pipeline.
In sum, a kind of pipeline oil transportation pump state evaluation device provided in an embodiment of the present invention, can basis
Default Quantitative Evaluation Algorithm, the measured value U of each state evaluation parameter to getting carries out quantitative assessment,
Quantitative assessment value set S is obtained, and according to quantitative assessment value set S, by irrelevance computing formula
Vi=| Si-Si'|/Si' the irrelevance that determines between the measured value and ideal value of each state evaluation parameter, and be used for
The penalty factor of the irrelevance is corrected, afterwards, can be according to the penalty factor and the quantitative assessment value collection
S is closed, by state evaluation formulaDetermine the state evaluation result HI of the pipeline oil transportation pump,
And according to the state evaluation result HI of the pipeline oil transportation pump, run or safeguard oil pipeline.The embodiment of the present invention
The pipeline oil transportation pump method for evaluating state of offer can carry out quantitative commenting to the running status of pipeline oil transportation pump
Valency, the precision of the evaluation result is higher, and the operation and maintenance to oil pipeline have important directive significance.
Optionally, the state evaluation parameter that the state evaluation parameter sets include is:Vibration parameters, temperature
Parameter, performance parameter, leakage parameters, noise parameters and lubricant parameter.
Optionally, the vibration parameters include that drive end bearing case vibrates subparameter and the vibration of non-driven-end bearing case
Subparameter;
The temperature parameter includes drive end bearing temperature rise subparameter and non-driven-end bearing temperature rise subparameter;
The performance parameter includes lift subparameter and efficiency subparameter;
The leakage parameters include drive end mechanical seal leakage state subparameter, anti-drive end mechanical seal leakage
State and pump housing leak condition subparameter;
The noise parameters include pump housing acoustic pressure subparameter;
The lubricant parameter includes that drive end bearing case lubricating oil state subparameter and non-driven-end bearing case lubricate
Oil condition subparameter.
Optionally, the evaluation unit 302, is additionally operable to:
Detect the state evaluation subparameter that any state evaluating includes in the state evaluation parameter sets
Number;
It is pre- according to first when the number of the state evaluation subparameter that any state evaluating includes is 1
Imputation method, determines the quantitative assessment value of any state evaluating;
When the number of the state evaluation subparameter that any state evaluating includes is more than 1, according to second
Preset algorithm determines the quantitative assessment of any state evaluating o, and second preset algorithm is:Wherein, SoIt is the quantitative assessment value of any state evaluating o, k is any for this
The number of the state evaluation subparameter that state evaluation parameter o includes, αjIt is any state evaluating o
J-th weight of state evaluation subparameter, SojFor j-th state in any state evaluating o is commented
The quantitative assessment value of valency subparameter.
In sum, a kind of pipeline oil transportation pump state evaluation device provided in an embodiment of the present invention, can basis
Default Quantitative Evaluation Algorithm, the measured value U of each state evaluation parameter to getting carries out quantitative assessment,
Quantitative assessment value set S is obtained, and according to quantitative assessment value set S, by irrelevance computing formula
Vi=| Si-Si'|/Si' the irrelevance that determines between the measured value and ideal value of each state evaluation parameter, and be used for
The penalty factor of the irrelevance is corrected, afterwards, can be according to the penalty factor and the quantitative assessment value collection
S is closed, by state evaluation formulaDetermine the state evaluation result HI of the pipeline oil transportation pump,
And according to the state evaluation result HI of the pipeline oil transportation pump, run or safeguard oil pipeline.The embodiment of the present invention
The pipeline oil transportation pump method for evaluating state of offer can carry out quantitative commenting to the running status of pipeline oil transportation pump
Valency, the precision of the evaluation result is higher, and the operation and maintenance to oil pipeline have important directive significance.
It is apparent to those skilled in the art that, for convenience and simplicity of description, foregoing description
Device and unit specific work process, may be referred to the corresponding process in preceding method embodiment, herein
Repeat no more.
Presently preferred embodiments of the present invention is the foregoing is only, is not intended to limit the invention, it is all of the invention
Within spirit and principle, any modification, equivalent substitution and improvements made etc. should be included in of the invention
Within protection domain.
Claims (8)
1. a kind of pipeline oil transportation pump method for evaluating state, it is characterised in that methods described includes:
Obtain the measured value U={ U of the n state evaluation parameter that state evaluation parameter sets include1, U2...,
Ui..., Un, the n is the integer more than 1, UiI-th measured value of state evaluation parameter is represented,
The i is more than or equal to 1, less than or equal to n, the n state evaluation that the state evaluation parameter sets include
Parameter is used to evaluate the running status of pipeline oil transportation pump;
According to default Quantitative Evaluation Algorithm, each the described state in the state evaluation parameter sets is commented
The measured value U of valency parameter carries out quantitative assessment, obtains the n quantitative assessment value set of quantitative assessment value composition
S={ S1, S2..., Si..., Sn};
According to the quantitative assessment value set S, determine that each described state evaluation is joined by irrelevance computing formula
Irrelevance between several measured values and ideal value, obtains the n irrelevance set V={ V of irrelevance composition1,
V2..., Vi..., Vn, the irrelevance computing formula is:Vi=| Si-Si'|/Si', wherein, ViIt is i-th
Irrelevance between the measured value and ideal value of individual state evaluation parameter, SiAnd Si' it is respectively i-th state evaluation
The quantitative assessment value and default ideal assessment value of the measured value of parameter;
According to the irrelevance set V, determine that formula determines penalty factor, the punishment by penalty factor
The factor determines that formula is: Wherein, maxV is represented and is taken the irrelevance set V
In maximum, β be default reference threshold;
According to the penalty factor and the quantitative assessment value set S, institute is determined by state evaluation formula
The state evaluation result HI of pipeline oil transportation pump is stated, the state evaluation formula is:Its
In, aiIt is the weight of default i-th state evaluation parameter;
State evaluation result HI according to the pipeline oil transportation pump, runs or safeguards oil pipeline.
2. method according to claim 1, it is characterised in that wrapped in the state evaluation parameter sets
The n state evaluation parameter for including be:Vibration parameters, temperature parameter, performance parameter, leakage parameters, noise
Parameter and lubricant parameter.
3. method according to claim 2, it is characterised in that the vibration parameters include drive end axle
Hold case vibration subparameter and non-driven-end bearing case vibration subparameter;
The temperature parameter includes drive end bearing temperature rise subparameter and non-driven-end bearing temperature rise subparameter;
The performance parameter includes lift subparameter and efficiency subparameter;
The leakage parameters include that drive end mechanical seal leakage state subparameter, anti-drive end mechanical seal are let out
Leakage state and pump housing leak condition subparameter;
The noise parameters include pump housing acoustic pressure subparameter;
The lubricant parameter includes that drive end bearing case lubricating oil state subparameter and non-driven-end bearing case moisten
Lubricating oil state subparameter.
4. method according to claim 3, it is characterised in that described to be calculated according to default quantitative assessment
Method, the measured value U to each state evaluation parameter in the state evaluation parameter sets is quantified
Evaluate, obtain quantitative assessment value set S={ S1, S2..., Si..., Sn, including:
Detect the state evaluation subparameter that any state evaluating includes in the state evaluation parameter sets
Number;
When the number of the state evaluation subparameter that any state evaluating includes is 1, according to first
Preset algorithm, determines the quantitative assessment value of any state evaluating;
When the number of the state evaluation subparameter that any state evaluating includes is more than 1, according to the
Two preset algorithms determine the quantitative assessment of any state evaluating o, and second preset algorithm is:Wherein, SoIt is the quantitative assessment value of any state evaluating o, k is described
The number of the state evaluation subparameter that any state evaluating o includes, αjIt is any state evaluation
J-th weight of state evaluation subparameter of parameter o, SojIt is the jth in any state evaluating o
The quantitative assessment value of individual state evaluation subparameter.
5. a kind of pipeline oil transportation pump state evaluation device, it is characterised in that described device includes:
Acquiring unit, for obtaining the n measurement of state evaluation parameter that state evaluation parameter sets include
Value U={ U1, U2..., Ui..., Un, the n is the integer more than 1, UiRepresent i-th state
The measured value of evaluating, the i is more than or equal to 1, less than or equal to n, in the state evaluation parameter sets
Including n state evaluation parameter be used to evaluate the running status of pipeline oil transportation pump;
Evaluation unit, for according to default Quantitative Evaluation Algorithm, in the state evaluation parameter sets
The measured value U of each state evaluation parameter carries out quantitative assessment, obtains what n quantitative assessment value was constituted
Quantitative assessment value set S={ S1, S2..., Si..., Sn};
First determining unit, for according to the quantitative assessment value set S, being determined by irrelevance computing formula
Irrelevance between the measured value and ideal value of each state evaluation parameter, obtains n irrelevance composition
Irrelevance set V={ V1, V2..., Vi..., Vn, the irrelevance computing formula is:Vi=| Si-Si'|/Si',
Wherein, ViIt is the irrelevance between the measured value and ideal value of i-th state evaluation parameter, SiAnd Si' be respectively
The quantitative assessment value and default ideal assessment value of i-th measured value of state evaluation parameter;
Second determining unit, for according to the irrelevance set V, determining that formula determines by penalty factor
Penalty factor, the penalty factor determines that formula is: Wherein, maxV tables
Show the maximum taken in the irrelevance set V, β is default reference threshold;
3rd determining unit, for according to the penalty factor and the quantitative assessment value set S, passing through
State evaluation formula determines the state evaluation result HI of the pipeline oil transportation pump, and the state evaluation formula is:Wherein, aiIt is the weight of default i-th state evaluation parameter;
Operation maintenance unit, for the state evaluation result HI according to the pipeline oil transportation pump, runs or safeguards
Oil pipeline.
6. device according to claim 5, it is characterised in that wrapped in the state evaluation parameter sets
The n state evaluation parameter for including be:Vibration parameters, temperature parameter, performance parameter, leakage parameters, noise
Parameter and lubricant parameter.
7. device according to claim 6, it is characterised in that the vibration parameters include drive end axle
Hold case vibration subparameter and non-driven-end bearing case vibration subparameter;
The temperature parameter includes drive end bearing temperature rise subparameter and non-driven-end bearing temperature rise subparameter;
The performance parameter includes lift subparameter and efficiency subparameter;
The leakage parameters include that drive end mechanical seal leakage state subparameter, anti-drive end mechanical seal are let out
Leakage state and pump housing leak condition subparameter;
The noise parameters include pump housing acoustic pressure subparameter;
The lubricant parameter includes that drive end bearing case lubricating oil state subparameter and non-driven-end bearing case moisten
Lubricating oil state subparameter.
8. device according to claim 7, it is characterised in that the evaluation unit, is additionally operable to:
Detect the state evaluation subparameter that any state evaluating includes in the state evaluation parameter sets
Number;
When the number of the state evaluation subparameter that any state evaluating includes is 1, according to first
Preset algorithm, determines the quantitative assessment value of any state evaluating;
When the number of the state evaluation subparameter that any state evaluating includes is more than 1, according to the
Two preset algorithms determine the quantitative assessment of any state evaluating o, and second preset algorithm is:Wherein, SoIt is the quantitative assessment value of any state evaluating o, k is described
The number of the state evaluation subparameter that any state evaluating o includes, αjIt is any state evaluation
J-th weight of state evaluation subparameter of parameter o, SojIt is the jth in any state evaluating o
The quantitative assessment value of individual state evaluation subparameter.
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WO2020253890A3 (en) * | 2019-06-21 | 2021-02-11 | 国网山西省电力公司电力科学研究院 | Long-term operation evaluation apparatus for transformer oil pump and evaluation method |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
RU2352822C1 (en) * | 2007-08-03 | 2009-04-20 | Открытое акционерное общество "Татнефть" им. В.Д. Шашина | Method of pump operation in pumping fluid into bench |
CN102400902A (en) * | 2010-09-15 | 2012-04-04 | 中国石油天然气股份有限公司 | Method for evaluating reliability of performance state of reciprocating compressor |
CN104265616A (en) * | 2014-09-19 | 2015-01-07 | 国家电网公司 | Running state online monitoring and estimation system for cold water main circulating pump inside converter valve |
CN104866074A (en) * | 2014-02-21 | 2015-08-26 | 联想(北京)有限公司 | Information processing method and electronic equipment |
CN104976139A (en) * | 2015-06-08 | 2015-10-14 | 北京化工大学 | Mechanical equipment state diagnosis method based on Gaussian model |
-
2015
- 2015-12-08 CN CN201510898193.1A patent/CN106855054B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
RU2352822C1 (en) * | 2007-08-03 | 2009-04-20 | Открытое акционерное общество "Татнефть" им. В.Д. Шашина | Method of pump operation in pumping fluid into bench |
CN102400902A (en) * | 2010-09-15 | 2012-04-04 | 中国石油天然气股份有限公司 | Method for evaluating reliability of performance state of reciprocating compressor |
CN104866074A (en) * | 2014-02-21 | 2015-08-26 | 联想(北京)有限公司 | Information processing method and electronic equipment |
CN104265616A (en) * | 2014-09-19 | 2015-01-07 | 国家电网公司 | Running state online monitoring and estimation system for cold water main circulating pump inside converter valve |
CN104976139A (en) * | 2015-06-08 | 2015-10-14 | 北京化工大学 | Mechanical equipment state diagnosis method based on Gaussian model |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020253890A3 (en) * | 2019-06-21 | 2021-02-11 | 国网山西省电力公司电力科学研究院 | Long-term operation evaluation apparatus for transformer oil pump and evaluation method |
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