CN117268743B - Fault diagnosis method for proportional flow valve - Google Patents

Fault diagnosis method for proportional flow valve Download PDF

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CN117268743B
CN117268743B CN202311562189.9A CN202311562189A CN117268743B CN 117268743 B CN117268743 B CN 117268743B CN 202311562189 A CN202311562189 A CN 202311562189A CN 117268743 B CN117268743 B CN 117268743B
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flow
curve
data point
pressure difference
point
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CN117268743A (en
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吴正清
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Shandong Liwei Hydraulic Technology Co ltd
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Shandong Liwei Hydraulic Technology Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00Testing of machine parts
    • G01M13/003Machine valves
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass

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Abstract

The invention relates to the technical field of data processing, in particular to a fault diagnosis method of a proportional flow valve, which comprises the following steps: acquiring a pressure difference curve and a flow curve, acquiring the lag time length of a flow inflection point in the flow curve according to the pressure difference curve, further acquiring the integral lag time length of the flow curve relative to the pressure difference curve, acquiring corresponding data points of data points in the flow curve in the pressure difference curve according to the integral lag time length, acquiring lag correlation between the data points in the flow curve and the corresponding data points in the pressure difference curve, acquiring the lag abnormality degree of the data points in the flow curve according to the lag time length of the flow inflection point in the flow curve, acquiring the abnormality degree of the data points in the flow curve according to the lag correlation, and identifying the proportional flow valve fault according to the abnormality degree of the data points in the flow curve. The invention eliminates the interference of flow change caused by pressure difference change on the fault identification of the proportional flow valve, so that the fault identification of the proportional flow valve is more accurate.

Description

Fault diagnosis method for proportional flow valve
Technical Field
The invention relates to the technical field of data processing, in particular to a fault diagnosis method of a proportional flow valve.
Background
The proportional flow valve controls the flow rate of fluid passing through the proportional flow valve by adjusting the opening degree of the valve, and is often used for speed control of a hydraulic system of an injection molding machine, silk-like cotton, or the like.
If the proportional flow valve fails, the opening degree of the valve to be adjusted by the proportional flow valve is inconsistent with the opening degree of the valve actually controlled, and thus abnormal flow control of the fluid is caused. The flow of the fluid is not only related to the opening of the valve, but also related to the pressure at two sides of the proportional flow valve, the pressure change can cause the change of the flow, under the interference of the flow change caused by the pressure change, the flow change caused by abnormal control of the opening of the valve can not be directly identified, and the fault of the proportional flow valve can not be accurately identified.
Disclosure of Invention
In order to solve the above problems, the present invention provides a fault diagnosis method of a proportional flow valve, comprising the steps of:
collecting flow data of fluid and pressure data of the fluid at two sides of a proportional flow valve, drawing a pressure difference curve according to the difference of the pressures of the fluid at two sides of the proportional flow valve, and drawing a flow curve according to the flow of the fluid;
acquiring the lag time length of each flow inflection point in the flow curve according to the pressure difference curve; acquiring the integral lag time length of the flow curve relative to the pressure difference curve according to the lag time length of all flow inflection points in the flow curve;
acquiring corresponding data points of each data point in the flow curve in the pressure difference curve according to the integral lag time length of the flow curve relative to the pressure difference curve;
acquiring hysteresis correlation between each data point in the flow curve and a corresponding data point in the pressure difference curve according to the data point in the local range of each data point in the flow curve and the corresponding data point in the pressure difference curve;
acquiring the hysteresis abnormality degree of each data point in the flow curve according to the hysteresis time length of each flow inflection point in the flow curve; obtaining the abnormal degree of each data point in the flow curve according to the hysteresis abnormality degree and the hysteresis correlation between each data point in the flow curve and the corresponding data point in the pressure difference curve;
and identifying the fault of the proportional flow valve according to the abnormality degree of each data point in the flow curve.
Preferably, the method for obtaining the flow inflection point comprises the following steps:
and acquiring all inflection points in the flow curve, and taking each inflection point in the flow curve as one flow inflection point respectively.
Preferably, the step of obtaining the lag time length of each flow inflection point in the flow curve according to the pressure difference curve includes the following specific steps:
for each flow inflection point, one inflection point which is earlier than the flow inflection point and is closest to the flow inflection point in time in the pressure difference curve is obtained and used as one pressure difference influence data point of the flow inflection point, and the time difference between the pressure difference influence data point and the flow inflection point is used as the lag time length of the flow inflection point.
Preferably, the step of obtaining the overall lag time length of the flow curve relative to the pressure difference curve according to the lag time length of all flow inflection points in the flow curve includes the following specific steps:
the average value of the lag time length of all flow inflection points in the flow curve is taken as the integral lag time length of the flow curve relative to the pressure difference curve.
Preferably, the step of obtaining the data point corresponding to each data point in the flow curve in the pressure difference curve according to the overall lag time length of the flow curve relative to the pressure difference curve includes the following specific steps:
for each data point in the flow curve, acquiring the time phase difference earlier than and corresponding to the data point in the pressure difference curveAs a corresponding data point in the flow curve for this data point in the pressure difference curve, +.>Is the overall length of the lag time of the flow curve relative to the pressure differential curve.
Preferably, the step of obtaining the lag correlation between each data point in the flow curve and the corresponding data point in the pressure difference curve includes the following specific steps:
wherein,indicating the%>Hysteresis correlation between a data point and a corresponding data point in the pressure differential curve; />Indicating the%>A number of data points contained within a local range of data points; />Indicating the%>Flow of the jth data point in the local range of data points; />Indicating the%>Flow of the j-1 st data point in the local range of data points; />Represents the very poor of the flow curve; />Indicating the%>The pressure difference of the data point corresponding to the jth data point in the pressure difference curve in the local range of the data points; />Flow curve>The pressure difference of the data point corresponding to the j-1 data point in the pressure difference curve in the local range of the data points; />The extreme difference of the pressure difference curve is shown; />Is a maximum function; exp->An exponential function based on a natural constant is represented.
Preferably, the step of obtaining the hysteresis abnormality degree of each data point in the flow curve according to the hysteresis time length of each flow inflection point in the flow curve includes the following specific steps:
wherein,indicating hysteresis abnormality degree of an ith data point in the flow curve; />Indicating the length of the lag time,/for the flow inflection point nearest to the ith data point before the ith data point in the flow curve>Indicating the length of the lag time,/for the flow inflection point nearest to the ith data point after the ith data point in the flow curve>Represents the distance between the ith data point and the nearest flow inflection point to the ith data point before the ith data point in the flow curve, +.>Represents the distance between the nearest flow inflection point before the ith data point and the nearest flow inflection point after the ith data point in the flow curve, +.>Representing the overall length of the lag time of the flow curve relative to the pressure difference curve, tanh +.>Representing a hyperbolic tangent function.
Preferably, the step of obtaining the abnormality degree of each data point in the flow curve according to the hysteresis abnormality degree and the hysteresis correlation between each data point in the flow curve and the corresponding data point in the pressure difference curve includes the following specific steps:
wherein,indicating the degree of abnormality of the ith data point in the flow curve,/-)>Indicating the hysteresis abnormality degree of the ith data point in the flow curve,/-)>Indicating a lag correlation between the i-th data point in the flow curve and the corresponding data point in the pressure differential curve.
Preferably, the step of identifying the fault of the proportional flow valve according to the abnormality degree of each data point in the flow curve comprises the following specific steps:
when the abnormal degree of a data point in the flow curve is larger than or equal to a preset abnormal threshold value, checking whether a control record of the proportional flow valve exists at the moment corresponding to the data point, and when the control record does not exist, considering the data point as an abnormal data point caused by the proportional flow valve fault, wherein the situation of the proportional flow valve fault exists at the moment corresponding to the data point.
The technical scheme of the invention has the beneficial effects that: according to the invention, the hysteresis time length of a flow inflection point in the flow curve is obtained according to the pressure difference curve, so that the integral hysteresis time length of the flow curve relative to the pressure difference curve is obtained, and the data points corresponding to the data points in the flow curve in the pressure difference curve are obtained according to the integral hysteresis time length. And analyzing the hysteresis correlation between the data points in the flow curve and the corresponding data points in the pressure difference curve, acquiring the hysteresis abnormality degree of the data points in the flow curve according to the hysteresis time length of the flow inflection point in the flow curve, acquiring the abnormality degree of the data points in the flow curve by combining the hysteresis correlation, and identifying the proportional flow valve fault according to the abnormality degree of the data points in the flow curve. The invention eliminates the interference of flow change caused by pressure difference change on the fault identification of the proportional flow valve, so that the fault identification of the proportional flow valve is more accurate.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of steps of a fault diagnosis method of a proportional flow valve according to the present invention;
FIG. 2 is a schematic diagram of a pressure differential curve;
FIG. 3 is a schematic flow diagram;
FIG. 4 is a schematic diagram of data points in a flow curve corresponding to data points in a pressure differential curve.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention to achieve the preset purposes, the following detailed description refers to specific embodiments, structures, features and effects of a fault diagnosis method for a proportional flow valve according to the present invention, with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following specifically describes a specific scheme of the fault diagnosis method for the proportional flow valve provided by the invention with reference to the accompanying drawings.
Referring to fig. 1, a flow chart of steps of a fault diagnosis method for a proportional flow valve according to an embodiment of the invention is shown, the method includes the following steps:
s001, collecting flow data and pressure data on two sides of the proportional flow valve, and drawing a flow curve and a pressure difference curve.
It should be noted that, the proportional flow valve controls the flow rate of the fluid passing through the proportional flow valve by adjusting the opening degree of the valve, but the flow rate of the fluid passing through the proportional flow valve is related to not only the opening degree of the valve but also the pressures of the fluids at both sides of the proportional flow valve, so that the present embodiment collects the flow rate data of the fluid passing through the proportional flow valve and the pressure data of the fluids at both sides of the proportional flow valve, so as to find and identify the failure of the proportional flow valve in time according to the flow rate data and the pressure data.
Specifically, a flow sensor is installed in a pipeline at one side of an outlet of the proportional flow valve, and a pressure sensor is installed in pipelines at two sides of the proportional flow valve respectively. Presetting a data acquisition frequencyFor example +.>The time/second is not particularly limited, and the operator can set the data acquisition frequency according to the actual implementation condition. The flow sensor is utilized to collect the flow of the passing proportion according to the preset data collection frequencyAnd respectively acquiring the pressure of the fluid at the two sides of the proportional flow valve according to the preset data acquisition frequency by utilizing the pressure sensors in the pipelines at the two sides of the proportional flow valve.
Thus, the flow rate of the fluid at each moment and the pressure of the fluid at both sides of the proportional flow valve at each moment are collected.
The pressure difference curve is constructed by taking the difference of the pressures of the fluids at two sides of the proportional flow valve acquired at the same moment as the pressure difference at the moment, taking each moment as the horizontal axis and taking the pressure difference at each moment as the vertical axis. FIG. 2 is a schematic diagram of a pressure differential curve.
And constructing a flow curve by taking each moment as a horizontal axis and taking the flow of the fluid at each moment as a vertical axis. FIG. 3 is a schematic flow chart.
Thus, the collection of flow data and pressure data is realized, and a pressure difference curve and a flow curve are obtained.
S002, acquiring the lag time length of each flow inflection point in the flow curve according to the pressure difference curve, and acquiring the integral lag time length of the flow curve relative to the pressure difference curve according to the lag time lengths of all the flow inflection points in the flow curve.
It should be noted that, because the densities of the fluids at the two sides of the proportional flow valve are different, the fluids at the two sides of the proportional flow valve have pressure differences, the fluid flows from the side with high pressure to the side with low pressure, the flow rate of the fluid passing through the proportional flow valve at each moment is determined by the opening degree of the valve of the proportional flow valve, and is also affected by the pressure differences of the fluids at the two sides of the proportional flow valve, when the pressure difference at each moment is larger, the flow rate at the moment is larger, the density of the fluid at the two sides of the proportional flow valve is changed along with the continuous increase of the flow rate, and the density at the side with low density is gradually increased, so that the pressure difference at the two sides of the proportional flow valve is reduced. When the pressure difference is smaller, the flow rate at the moment is smaller, the density of the fluid at the two sides of the proportional flow valve is changed along with the continuous decrease of the flow rate, and the density at the side with smaller density is gradually decreased, so that the pressure difference at the two sides of the proportional flow valve is increased. The pressure difference and the flow rate thus interact, resulting in that the inflection point of the flow rate change lags behind the inflection point of the pressure difference change in the pressure difference curve as well as in the flow rate curve.
In this embodiment, all inflection points in the pressure difference curve and the flow curve are obtained respectively, and each inflection point in the flow curve is used as a flow inflection point respectively. For each flow inflection point, one inflection point which is earlier than the flow inflection point and is closest to the flow inflection point in time in the pressure difference curve is obtained and used as one pressure difference influence data point of the flow inflection point, and the time difference between the pressure difference influence data point and the flow inflection point is used as the lag time length of the flow inflection point. When there is no pressure difference affecting data point at a certain flow inflection point, no subsequent calculation is performed on the flow inflection point.
Taking the average value of the lag time lengths of all flow inflection points in the flow curve as the integral lag time length of the flow curve relative to the pressure difference curve, and recording the integral lag time length as
Thus, the overall length of the lag time of the flow curve relative to the pressure differential curve is obtained.
S003, according to the overall lag time length of the flow curve relative to the pressure difference curve, corresponding data points of each data point in the flow curve in the pressure difference curve are obtained, and according to the data points of each data point in the flow curve in the local range and the corresponding data points in the pressure difference curve, lag correlation between each data point in the flow curve and the corresponding data point in the pressure difference curve is obtained.
It should be noted that, under the influence of the hysteresis relationship of the flow curve and the pressure difference curve, the data point change trend in the flow curve lags behind the data change trend of the data point in the pressure difference curve, so that the embodiment obtains the corresponding data point of each data point in the flow curve in the pressure difference curve according to the overall lag time length of the flow curve relative to the pressure difference curve, thereby analyzing the change trend of the data point in the flow curve and the corresponding data point in the pressure difference curve.
In the present embodiment, for each data point in the flow rate curve, a time phase difference earlier than and corresponding to the data point in the pressure difference curve is obtainedAs a corresponding data point in the flow curve for this data point in the pressure difference curve, +.>Is the overall length of the lag time of the flow curve relative to the pressure differential curve. FIG. 4 is a schematic diagram of corresponding data points of the data points in the flow curve of FIG. 3 in the pressure difference curve of FIG. 2.
Presetting a local range size R, e.g.The embodiment is not limited to specific embodiments, and the practitioner may set the local range according to the actual implementation. For each data point in the flow curve and in the pressure difference curve, R data points preceding and following the data point are taken as data points within the local range of the data point, if the data point is less than R data points before, all data points preceding and following the data point are taken as data points within the local range of the data point, and if the data point is less than R data points after, all data points preceding and following the data point are taken as data points within the local range of the data point. It should be noted that, when a data point does not exist in the pressure difference curve in a local range of a certain data point, the data point does not perform all subsequent operations.
Acquiring a hysteresis correlation between each data point in the flow curve and a corresponding data point in the pressure difference curve:
wherein,indicating the%>Hysteresis correlation between a data point and a corresponding data point in the pressure differential curve; />Indicating the%>A number of data points contained within a local range of data points; />Indicating the%>Flow of the jth data point in the local range of data points; />Indicating the%>Flow of the j-1 st data point in the local range of data points; />Representing the extreme difference of the flow curve, i.e. the difference between the maximum flow and the minimum flow in the flow curve; />Indicating the%>The pressure difference of the data point corresponding to the jth data point in the pressure difference curve in the local range of the data points; />Flow curve>The pressure difference of the data point corresponding to the j-1 data point in the pressure difference curve in the local range of the data points; />Representing the extreme difference of the pressure difference curve, i.e. the difference between the maximum pressure difference and the minimum pressure difference in the pressure difference curve; />As a maximum function>Is indicated at->And->The middle takes the maximum value and has the function of avoiding +.>When 0, result in->The denominator of (2) is 0, exp +.>An exponential function based on a natural constant is represented.
It should be noted that, there is a hysteresis relationship between the data points in the flow curve and the corresponding data points in the pressure difference curve, the same trend of data change should exist between the corresponding data points, and in the calculation formula of the hysteresis correlation,reflecting the change between adjacent data points in the local range of the ith data point, +.>Reflect->The variation of adjacent data points within the local range of data points between corresponding data points in the pressure differential curve,reflect->Consistency of trend between adjacent data points in a local range of data points with trend between corresponding data points in a pressure difference curve, when ∈>The closer to 1->The more consistent the trend between adjacent data points in the local range of data points is with the trend between corresponding data points in the pressure difference curve, the greater the lag correlation between the ith data point and the corresponding data point in the pressure difference curve is.
Thus, a lag correlation between each data point in the flow curve and the corresponding data point in the pressure difference curve is obtained.
S004, acquiring the hysteresis abnormality degree of each data point in the flow curve according to the hysteresis time length of each flow inflection point in the flow curve, and acquiring the abnormality degree of each data point in the flow curve according to the hysteresis abnormality degree and the hysteresis correlation between each data point in the flow curve and the corresponding data point in the pressure difference curve.
It should be noted that there are three possibilities for the variation of the flow rate in the flow rate curve: the normal change in flow caused by pressure changes in the fluid across the proportional flow valve, the change in flow controlled by the proportional flow valve, and the change in flow caused by a proportional flow valve failure. Under the interference of normal flow change caused by pressure change of fluid at two sides of the proportional flow valve, the flow change caused by failure cannot be identified. Under the normal change of the flow caused by the pressure change of the fluid at two sides of the proportional flow valve, the flow change has hysteresis relative to the pressure difference change, and the flow change is related to the change of the pressure difference, namely has stronger hysteresis correlation, while under the flow change controlled by the proportional flow valve and the flow change caused by the fault of the proportional flow valve, the flow change has instantaneity, and breaks the hysteresis rule between the flow change and the pressure difference change, so that the embodiment analyzes the hysteresis time length of each data point in the flow curve relative to the pressure difference curve, thereby obtaining the hysteresis abnormality degree of each data point, and conveniently screening the data point corresponding to the flow change controlled by the proportional flow valve or the flow change caused by the fault of the proportional flow valve according to the hysteresis abnormality degree.
Specifically, the hysteresis abnormality degree of each data point in the flow curve is obtained according to the hysteresis time length of each flow inflection point in the flow curve:
wherein,indicating hysteresis abnormality degree of an ith data point in the flow curve; />Indicating the length of the lag time,/for the flow inflection point nearest to the ith data point before the ith data point in the flow curve>Indicating the length of the lag time,/for the flow inflection point nearest to the ith data point after the ith data point in the flow curve>Represents the distance between the ith data point and the nearest flow inflection point to the ith data point before the ith data point in the flow curve, +.>Indicating the nearest flow inflection point before and after the ith data point in the flow curvei distance between nearest flow inflection points of data points, +.>Representing the overall length of the lag time of the flow curve relative to the pressure difference curve, tanh +.>Representing a hyperbolic tangent function. />The length of the lag time of the ith data point in the flow curve is reflected, when the distance between the ith data point and the flow inflection point which is closest to the ith data point before the ith data point is smaller, the length of the lag time of the ith data point is closer to the length of the lag time of the flow inflection point which is closest to the ith data point before the ith data point, and when the distance between the ith data point and the flow inflection point which is closest to the ith data point after the ith data point is smaller, the length of the lag time of the ith data point is closer to the length of the lag time of the flow inflection point which is closest to the ith data point after the ith data point. When the hysteresis time length of the ith data point is closer to the overall hysteresis time length, the hysteresis rule of the ith data point accords with the overall hysteresis rule, and at the moment, the change of the flow corresponding to the ith data point is more likely to be normal change caused by pressure difference change, and at the moment, the hysteresis abnormality degree of the ith data point is smaller. When the difference between the length of the lag time of the ith data point and the length of the whole lag time is larger, the more the lag rule of the ith data point is not in accordance with the whole lag rule, at this time, the more likely the change of the flow corresponding to the ith data point is the flow change controlled by the proportional flow valve or the flow change caused by the fault of the proportional flow valve, and at this time, the greater the lag abnormality degree of the ith data point is.
Obtaining the abnormality degree of each data point in the flow curve according to the hysteresis abnormality degree of each data point in the flow curve and the hysteresis correlation between each data point in the flow curve and the corresponding data point in the pressure difference curve:
wherein,indicating the degree of abnormality of the ith data point in the flow curve,/-)>Indicating the hysteresis abnormality degree of the ith data point in the flow curve,/-)>Indicating a lag correlation between the i-th data point in the flow curve and the corresponding data point in the pressure differential curve. The degree of abnormality of the ith data point is larger regardless of the magnitude of the degree of abnormality of the hysteresis of the ith data point in the flow rate curve when the degree of hysteresis correlation between the ith data point in the flow rate curve and the corresponding data point in the pressure difference curve is smaller, and is determined by the degree of abnormality of the hysteresis of the ith data point when the degree of abnormality of the hysteresis of the ith data point is larger, and is smaller when the degree of abnormality of the hysteresis of the ith data point is smaller.
Thus, the degree of abnormality of each data point in the flow curve is obtained.
S005, identifying the fault of the proportional flow valve according to the abnormality degree of each data point in the flow curve.
The preset abnormality threshold M, for example, m=0.7, is not limited in this embodiment, and the operator may set the abnormality threshold according to the actual implementation.
When the abnormality degree of a data point in the flow curve is smaller than an abnormality threshold M, the change of the flow corresponding to the data point is normal change caused by the change of the pressure difference of the fluid at two sides of the proportional flow valve, and the data point is normal data point; when the abnormal degree of a data point in the flow curve is greater than or equal to a preset abnormal threshold value M, the change of the flow corresponding to the data point is not caused by the change of the pressure difference of the fluid at two sides of the proportional flow valve, and can be the change of control of the proportional flow valve or the change of the flow caused by the fault of the proportional flow valve. And checking whether a control record of the proportional flow valve exists at the moment corresponding to the data point, when the control record exists, considering the data point as a normal data point, and when the control record does not exist, considering the data point as an abnormal data point caused by the fault of the proportional flow valve.
When the abnormal data points exist, the proportional flow valve is considered to be faulty, the fluid transmission is stopped, and the proportional flow valve is subjected to fault maintenance.
According to the invention, the hysteresis time length of a flow inflection point in the flow curve is obtained according to the pressure difference curve, so that the integral hysteresis time length of the flow curve relative to the pressure difference curve is obtained, and the data points corresponding to the data points in the flow curve in the pressure difference curve are obtained according to the integral hysteresis time length. And analyzing the hysteresis correlation between the data points in the flow curve and the corresponding data points in the pressure difference curve, acquiring the hysteresis abnormality degree of the data points in the flow curve according to the hysteresis time length of the flow inflection point in the flow curve, acquiring the abnormality degree of the data points in the flow curve by combining the hysteresis correlation, and identifying the proportional flow valve fault according to the abnormality degree of the data points in the flow curve. The invention eliminates the interference of flow change caused by pressure difference change on the fault identification of the proportional flow valve, so that the fault identification of the proportional flow valve is more accurate.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.

Claims (2)

1. A method of diagnosing a fault in a proportional flow valve, the method comprising the steps of:
collecting flow data of fluid and pressure data of the fluid at two sides of a proportional flow valve, drawing a pressure difference curve according to the difference of the pressures of the fluid at two sides of the proportional flow valve, and drawing a flow curve according to the flow of the fluid;
acquiring the lag time length of each flow inflection point in the flow curve according to the pressure difference curve;
the method for acquiring the flow inflection point comprises the following steps:
acquiring all inflection points in the flow curve, and taking each inflection point in the flow curve as a flow inflection point respectively;
acquiring the integral lag time length of the flow curve relative to the pressure difference curve according to the lag time length of all flow inflection points in the flow curve;
the method for obtaining the integral lag time length of the flow curve relative to the pressure difference curve according to the lag time length of all flow inflection points in the flow curve comprises the following specific steps:
taking the average value of the lag time lengths of all flow inflection points in the flow curve as the integral lag time length of the flow curve relative to the pressure difference curve;
acquiring corresponding data points of each data point in the flow curve in the pressure difference curve according to the integral lag time length of the flow curve relative to the pressure difference curve;
according to the overall lag time length of the flow curve relative to the pressure difference curve, the corresponding data point of each data point in the flow curve in the pressure difference curve is obtained, and the method comprises the following specific steps:
for each data point in the flow curve, acquiring the time phase difference earlier than and corresponding to the data point in the pressure difference curveAs a corresponding data point in the flow curve for this data point in the pressure difference curve, +.>Is the flow rateThe overall lag time length of the curve relative to the pressure differential curve;
acquiring hysteresis correlation between each data point in the flow curve and a corresponding data point in the pressure difference curve according to the data point in the local range of each data point in the flow curve and the corresponding data point in the pressure difference curve;
acquiring the hysteresis abnormality degree of each data point in the flow curve according to the hysteresis time length of each flow inflection point in the flow curve; obtaining the abnormal degree of each data point in the flow curve according to the hysteresis abnormality degree and the hysteresis correlation between each data point in the flow curve and the corresponding data point in the pressure difference curve;
identifying a proportional flow valve fault according to the abnormality degree of each data point in the flow curve;
the method for obtaining the lag time length of each flow inflection point in the flow curve according to the pressure difference curve comprises the following specific steps:
for each flow inflection point, acquiring one inflection point which is earlier than the flow inflection point and is closest to the flow inflection point in time in a pressure difference curve, taking the inflection point as a pressure difference influence data point of the flow inflection point, and taking the time difference between the pressure difference influence data point and the flow inflection point as the lag time length of the flow inflection point;
the method for acquiring the hysteresis correlation between each data point in the flow curve and the corresponding data point in the pressure difference curve comprises the following specific steps:
wherein,indicating the%>Hysteresis correlation between a data point and a corresponding data point in the pressure differential curve;indicating the%>A number of data points contained within a local range of data points; />Indicating the%>Flow of the jth data point in the local range of data points; />Indicating the%>Flow of the j-1 st data point in the local range of data points; />Represents the very poor of the flow curve; />Indicating the%>The pressure difference of the data point corresponding to the jth data point in the pressure difference curve in the local range of the data points; />Flow curve>The pressure difference of the data point corresponding to the j-1 data point in the pressure difference curve in the local range of the data points; />The extreme difference of the pressure difference curve is shown; />Is a maximum function; exp->An exponential function that is based on a natural constant;
the method for obtaining the hysteresis abnormality degree of each data point in the flow curve according to the hysteresis time length of each flow inflection point in the flow curve comprises the following specific steps:
wherein,indicating hysteresis abnormality degree of an ith data point in the flow curve; />Indicating the length of the lag time,/for the flow inflection point nearest to the ith data point before the ith data point in the flow curve>Indicating the length of the lag time,/for the flow inflection point nearest to the ith data point after the ith data point in the flow curve>Represents the distance between the ith data point and the nearest flow inflection point to the ith data point before the ith data point in the flow curve, +.>Represents the distance between the nearest flow inflection point before the ith data point and the nearest flow inflection point after the ith data point in the flow curve, +.>Representing the overall length of the lag time of the flow curve relative to the pressure difference curve, tanh +.>Representing a hyperbolic tangent function;
the step of obtaining the abnormality degree of each data point in the flow curve according to the hysteresis abnormality degree and the hysteresis correlation between each data point in the flow curve and the corresponding data point in the pressure difference curve comprises the following specific steps:
wherein,indicating the degree of abnormality of the ith data point in the flow curve,/-)>Indicating the hysteresis abnormality degree of the ith data point in the flow curve,/-)>Indicating a lag correlation between the i-th data point in the flow curve and the corresponding data point in the pressure differential curve.
2. The method for diagnosing a proportional flow valve as claimed in claim 1, wherein the step of identifying a proportional flow valve fault based on the degree of abnormality of each data point in the flow curve comprises the steps of:
when the abnormal degree of a data point in the flow curve is larger than or equal to a preset abnormal threshold value, checking whether a control record of the proportional flow valve exists at the moment corresponding to the data point, and when the control record does not exist, considering the data point as an abnormal data point caused by the proportional flow valve fault, wherein the situation of the proportional flow valve fault exists at the moment corresponding to the data point.
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