CN116838632A - Fan remaining life prediction method and system, fan and working machine - Google Patents
Fan remaining life prediction method and system, fan and working machine Download PDFInfo
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- 238000006073 displacement reaction Methods 0.000 claims abstract description 91
- 238000001228 spectrum Methods 0.000 claims abstract description 83
- 238000004590 computer program Methods 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 4
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Classifications
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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
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
- F04D27/001—Testing thereof; Determination or simulation of flow characteristics; Stall or surge detection, e.g. condition monitoring
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2123/00—Data types
- G06F2123/02—Data types in the time domain, e.g. time-series data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/08—Feature extraction
- G06F2218/10—Feature extraction by analysing the shape of a waveform, e.g. extracting parameters relating to peaks
Abstract
The invention provides a method and a system for predicting the remaining life of a fan, the fan and an operation machine, and belongs to the technical field of fans, wherein the method comprises the following steps: acquiring the running time of the fan to be tested under each working condition; determining the residual life of the fan to be tested based on the running time and the life damage value of the fan to be tested in unit time corresponding to each working condition; the lifetime damage value per unit time is determined by the following method: acquiring a displacement load spectrum of a target blade of an experimental fan in a unit time period under each working condition; based on the displacement load spectrum and a preset coefficient, determining the mean value of fluctuation stress and the mean value of fluctuation amplitude of the experimental fan; and determining a life damage value per unit time of each working condition of the experimental fan, namely a life damage value per unit time based on the fluctuation stress average value, the fluctuation amplitude average value and the fatigue curve of the experimental fan material. The method and the device are used for solving the problem that in the prior art, the residual life of the fan is difficult to predict because the load and stress operation data of the fan blade are difficult to obtain.
Description
Technical Field
The present invention relates to the field of fan technologies, and in particular, to a method and a system for predicting remaining life of a fan, and a working machine.
Background
For the calculation of the fatigue life of a fan, the main mode is to process the operation data of the fan blades and then calculate the operation data by combining the structural material parameters of the fan and the fatigue theory.
However, during operation of the fan, the blades are always rotated, and it is very difficult to obtain load and stress operation data of the fan blades, thus making calculation of the fatigue life of the fan difficult.
Disclosure of Invention
The invention provides a method and a system for predicting the residual life of a fan, the fan and an operation machine, which are used for solving the problem that the residual life of the fan is difficult to predict because the load and stress operation data of the fan blade are difficult to obtain in the prior art.
The invention provides a method for predicting the remaining life of a fan, which comprises the following steps:
acquiring the running time of the fan to be tested under each working condition;
determining the residual life of the fan to be tested based on the operated time and the life damage value of the fan to be tested in unit time corresponding to each working condition;
wherein, the life damage value of the fan to be tested in unit time corresponding to each working condition is determined by the following method:
acquiring a displacement load spectrum of a target blade of an experimental fan in a unit time period under each working condition, wherein the unit time period is the time length of the target blade passing through a sensor for detecting the deformation and displacement of the blade when the experimental fan is operated;
determining a mean value of fluctuation stress and a mean value of fluctuation amplitude borne by the experimental fan based on the displacement load spectrum and a preset coefficient, wherein the preset coefficient is a coefficient determined based on operation data of a fault fan and the displacement load spectrum;
and determining a life damage value of the experimental fan corresponding to each working condition in unit time based on the fluctuation stress average value, the fluctuation amplitude average value and the fatigue curve of the experimental fan material, and taking the life damage value of the experimental fan corresponding to each working condition in unit time as the life damage value of the fan to be tested.
According to the fan remaining life prediction method of the present invention, the determining the mean value of the fluctuation stress and the mean value of the fluctuation amplitude of the experimental fan based on the displacement load spectrum and the preset coefficient includes:
removing linear trend and reducing order of the displacement load spectrum, and determining a displacement amplitude average value of the target blade as a first average value;
determining the average value of the peak displacement amplitude and the trough displacement amplitude in each target fluctuation period of the target blade, wherein the target fluctuation period is a fluctuation period in which the fluctuation amplitude reaches a preset standard;
determining the mean value of the fluctuation stress based on the first mean value and the preset coefficient;
and determining the fluctuation amplitude mean value based on the first mean value, the second mean value and the preset coefficient.
According to the method for predicting the remaining life of the fan of the present invention, the determining the life damage value per unit time of the experimental fan corresponding to each working condition based on the mean value of the fluctuating stress, the mean value of the fluctuating amplitude and the fatigue curve of the experimental fan material includes:
determining an equivalent stress load spectrum of the target blade based on the mean value of the fluctuating stress and the mean value of the fluctuating amplitude;
determining the number of fatigue alternating periods of the experimental fan under each working condition based on the equivalent stress load spectrum and the fatigue curve;
determining the service lives of the experimental fans under the working conditions based on the number of the fatigue alternating periods;
and determining a life damage value of the experimental fan in unit time corresponding to each working condition based on the working condition life.
The method for predicting the remaining life of the fan according to the invention further comprises the following steps: the method for determining the preset coefficient;
the method for determining the preset coefficient comprises the following steps:
acquiring the working time of each fault fan under each working condition;
determining a preselected coefficient corresponding to each fault fan based on the displacement load spectrum and the relation between the working time and the life damage value of the fault fan in unit time corresponding to each working condition;
and calculating the average value of the preselected coefficients to be used as the preset coefficients.
According to the method for predicting the remaining life of the fan of the present invention, the determining a pre-selected coefficient corresponding to each failed fan based on the displacement load spectrum and the relationship between the operation time and the life damage value per unit time of each working condition corresponding to the failed fan includes:
based on the displacement load spectrum, respectively determining the corresponding relation between the preselected coefficient and the mean value of the fluctuation stress and the mean value of the fluctuation amplitude as a first corresponding relation;
based on the first corresponding relation, determining a corresponding relation between the preselected coefficient and an equivalent stress load spectrum of the target blade in the unit time period as a second corresponding relation;
based on the second corresponding relation and the fatigue curve, determining the corresponding relation between the preselected coefficient and the service life of the experimental fan under each working condition as a third corresponding relation;
based on the third corresponding relation, determining a relation between the preselected coefficient and a life damage value of each working condition corresponding to the experimental fan in unit time as a fourth corresponding relation;
and determining a preselected coefficient corresponding to each fault fan based on the fourth corresponding relation and the relation between the working time and the life damage value of each working condition corresponding to the fault fan.
According to the method for predicting the remaining life of the fan of the present invention, the method for determining the preset coefficient further comprises:
continuously acquiring operation data of a new fault fan;
and continuously correcting the preset coefficient based on the displacement load spectrum and the operation data of the new fault fan.
The invention also provides a system for predicting the remaining life of the fan, which comprises:
the acquisition module is used for acquiring the running time of the fan to be tested under each working condition;
the analysis module is used for determining the residual life of the fan to be tested based on the running time and the life damage value of the fan to be tested in unit time corresponding to each working condition;
wherein, the life damage value of the fan to be tested in unit time corresponding to each working condition is determined by the following method:
acquiring a displacement load spectrum of a target blade of an experimental fan in a unit time period under each working condition, wherein the unit time period is the time length of the target blade passing through a sensor for detecting the deformation and displacement of the blade when the experimental fan is operated;
determining a mean value of fluctuation stress and a mean value of fluctuation amplitude borne by the experimental fan based on the displacement load spectrum and a preset coefficient, wherein the preset coefficient is a coefficient determined based on operation data of a fault fan and the displacement load spectrum;
and determining a life damage value of the experimental fan corresponding to each working condition in unit time based on the fluctuation stress average value, the fluctuation amplitude average value and the fatigue curve of the experimental fan material, and taking the life damage value of the experimental fan corresponding to each working condition in unit time as the life damage value of the fan to be tested.
The invention also provides a fan comprising the fan remaining life prediction system or a fan with the fan remaining life prediction method.
The invention also provides a working machine comprising a fan as described above.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the method for predicting the residual life of the fan.
According to the method, the running time of the fan to be tested under the working conditions is obtained, the remaining life of the fan to be tested is determined based on the running time and the unit time life damage value of the fan to be tested corresponding to the working conditions, wherein the unit time life damage value of the fan to be tested corresponding to the working conditions is determined according to the displacement load spectrum of the target blade of the experimental fan in the unit time period, the preset coefficient and the like, so that the remaining life of the fan to be tested can be determined only by obtaining the running time of the fan to be tested under the working conditions, the difficulty of predicting the remaining life of the fan is greatly reduced, and the reliability of the fan in application is further guaranteed.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for predicting remaining life of a fan according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for determining a life damage value of a fan to be tested in unit time corresponding to each working condition according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a load spectrum experiment calibration device provided by an embodiment of the invention;
FIG. 4 is a schematic diagram of a displacement load spectrum provided by an embodiment of the present invention;
FIG. 5 is a schematic diagram of a displacement load spectrum obtained by removing data trend lines from the displacement load spectrum shown in FIG. 4 and performing reduced order processing according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a method for predicting remaining life of a fan according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a system for predicting remaining life of a fan according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of an electronic device provided by the present invention;
reference numerals:
1: an experiment fan; 2: a power drive system; 3: a laser or radar sensor; 4: and the data acquisition and data processing device.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It will be appreciated that the fatigue life of a fan is currently calculated primarily by taking load and stress operation data of the fan blades, and then processing the load and stress operation data, in combination with structural material parameters and fatigue theory. It can be seen that to determine the fatigue life of a fan, first, load and stress operating data for the fan blades need to be obtained.
However, for a fan in use, the blades are always in motion during operation, so that load and stress operation data of the blades are required to be obtained, or the fan needs to be removed from a machine on which the fan works, and then the load and stress operation data of the fan are obtained when the fan is independently driven to operate; or sensors for acquiring load and stress operation data may be required to be installed or newly added to the fan blades. The fan is more troublesome to detach and add the sensor, and for the mode of installing the sensor on the fan blade, the sensor is difficult to realize because the blade is in a moving state when working. It can be seen that the existing method for predicting the remaining life of the fan is difficult to be applied in practice.
Based on the above, the embodiment of the invention provides a method which is convenient to apply and can accurately predict the residual life of the fan.
The following describes a method, a system, a fan and a working machine for predicting the remaining life of a fan according to the present invention with reference to fig. 1 to 8.
Fig. 1 is a flow chart of a method for predicting remaining life of a fan according to the present invention.
As shown in fig. 1, the method for predicting the remaining life of a fan provided by the embodiment of the invention can be executed by software and/or hardware in electronic devices such as a computer, a tablet, a mobile phone and the like, and mainly comprises the following steps:
101. and acquiring the running time of the fan to be tested under each working condition.
In a specific implementation process, the application of the fan to be tested under different working conditions has different influences on the residual life of the fan to be tested, and the running time of the fan to be tested under each working condition can reflect the residual life of the fan to be tested from the side.
Specifically, taking a fan to be tested applied to an excavator as an example, the working conditions may refer to a gear, a rotation speed, and the like of the excavator. For example: gear 1, gear 2, etc. of the excavator.
102. And determining the residual service life of the fan to be tested based on the operated time and the service life damage value of the fan to be tested in unit time corresponding to each working condition.
Wherein, the life damage value of the fan to be tested in unit time corresponding to each working condition is determined by the following method as shown in fig. 2:
201. acquiring a displacement load spectrum of a target blade of an experimental fan in a unit time period under each working condition, wherein the unit time period is the time length of the target blade passing through a sensor for detecting the deformation and displacement of the blade when the experimental fan is operated;
202. determining a mean value of fluctuation stress and a mean value of fluctuation amplitude borne by the experimental fan based on the displacement load spectrum and a preset coefficient, wherein the preset coefficient is a coefficient determined based on operation data of a fault fan and the displacement load spectrum;
203. and determining a life damage value of the experimental fan corresponding to each working condition in unit time based on the fluctuation stress average value, the fluctuation amplitude average value and the fatigue curve of the experimental fan material, and taking the life damage value of the experimental fan corresponding to each working condition in unit time as the life damage value of the fan to be tested.
It can be understood that, for a fan j to be tested that has failed and cannot be used, the following relationship is shown in the formula (1) between the running duration t under each working condition i and the life damage value d of the fan to be tested in unit time corresponding to each working condition:
t j1 *d 1 +t j2 *d 2 +…+t ji *d i ＝1 (1)
meanwhile, the relationship between the life damage value d of the unit time corresponding to each working condition of the fan to be tested and the life corresponding to each working condition of the fan to be tested is as follows:
thus, the running time t of the fan k to be tested under each working condition is obtained k1 、t k2 、…、t ki After that, the life damage value d of the fan to be tested in unit time corresponding to each working condition can be based on 1 、d 2 、…、d i To calculate the unit damage total value d of the fan k to be measured corresponding to each working condition k ：
Wherein T is k To obtain the remaining life of the fan k to be tested k ：
Therefore, according to the method for predicting the remaining life of the fan, after the running time of the fan to be tested under each working condition is obtained, the remaining life of the fan to be tested can be determined according to the running time and the life damage value of the fan to be tested corresponding to each working condition in unit time, the method is simple and easy to implement, and the convenience for determining the remaining life of the fan is greatly improved.
In a specific implementation, the embodiment of the invention predicts the remaining life of the fan to be tested in use by a life damage value per unit time determined in advance based on the experimental fan. It is understood that the experimental fan is the same type of fan as the fan to be tested.
Specifically, when determining the life damage value of the fan to be tested corresponding to each working condition in unit time based on the experimental fan, a non-contact experimental mode can be adopted to collect blade displacement fluctuation data of the fan under various working conditions as a displacement load spectrum, then the displacement load spectrum is processed, and the life damage value of the fan to be tested corresponding to each working condition in unit time is determined by further combining with a fatigue curve of experimental fan materials and the like.
It should be noted that, considering that the fan is excited by the torque of the power system and the air current is excited by the disturbance of the air current to the fan blades in the running process, the traditional method for collecting the contact experimental load spectrum is not applicable any more due to the rotation of the fan blades. Therefore, in the embodiment of the invention, the non-contact experimental method of the sensor shown in fig. 3 is adopted to collect the blade fluctuation data of the experimental fan under various working conditions. As shown in FIG. 3, the experimental calibration device for the load spectrum of each working condition mainly comprises an experimental fan 1, a power driving system 2, a laser or radar sensor 3 and a data acquisition and data processing device 4. It can be known that in the load spectrum experiment calibration apparatus shown in fig. 3, when the experiment fan 1 is driven by the power driving system 2 to operate, the blades deform and vibrate due to the excitation of airflow pressure and disturbance, and under a steady-state working condition, the deformation and vibration displacement of each blade through the acquisition point of the laser or radar sensor 3 can be periodically acquired by the data acquisition and data processing apparatus 4, so as to obtain the displacement load spectrum shown in fig. 4.
Under the working condition of small deformation, the structural stress of the experimental fan is in direct proportion to the deformation of the fan, and according to the fatigue theory, the fatigue life of the fan is related to structural materials, structural stress mean value and structural stress fluctuation. Selecting a time period for passing one blade (target blade) under a corresponding working conditionΔT i Displacement load spectrum D of (2) i (t) (displacement load spectrum in fig. 4 block), which can be represented by displacement load spectrum D i (t) and a preset coefficient, determining the mean value S of fluctuation stress born by the experimental fan i_m And the mean value S of fluctuation amplitude i_A 。
Further, the mean S of the fluctuation stress of the experimental fan is obtained i_m And the mean value S of fluctuation amplitude i_A Then, the Gerber criterion can be adopted to convert the fluctuation stress into an equivalent stress load with the mean value of zero, and the passing time period delta T of the target blade can be obtained i Equivalent stress load spectrum S of (2) i_e . The expression of the S-N (equivalent alternating stress amplitude-fatigue life cycle) fatigue curve of the experimental fan structural material is as follows:
lgS＝A+BlgN (5)
wherein A and B are material parameters, which can be obtained according to the tensile strength of the material, S represents equivalent alternating stress amplitude, and N represents fatigue life cycle.
By loading the equivalent stress under each working condition into a spectrum S i_e Substituting the fatigue cycle number N into the S-N fatigue curve to calculate the number N of fatigue alternating cycles under each working condition i The corresponding life lift under each working condition can be obtained i Finally, based on the formula (2), the life damage value of the experimental fan corresponding to each working condition in unit time can be determined, namely the life damage value of the fan to be tested corresponding to each working condition in unit time.
According to the method for predicting the remaining life of the fan, provided by the embodiment, the blade displacement fluctuation data of the experimental fan under various working conditions, which are acquired in a non-contact experimental mode, can be used as a displacement load spectrum, and the displacement load spectrum is processed, so that a unit time life damage value of the fan to be tested corresponding to the working conditions is obtained, the remaining life of the fan to be tested can be determined after the running duration of the fan to be tested under the working conditions is obtained, the prediction of the remaining life of the fan to be tested is greatly facilitated, and the running reliability of automobiles, engineering machinery and the like applying the fan is ensured.
Based on the foregoing embodiment, the determining, based on the displacement load spectrum and a preset coefficient, the mean value of the fluctuation stress and the mean value of the fluctuation amplitude suffered by the experimental fan includes:
removing linear trend and reducing order of the displacement load spectrum, and determining a displacement amplitude average value of the target blade as a first average value;
determining the average value of the peak displacement amplitude and the trough displacement amplitude in each target fluctuation period of the target blade, wherein the target fluctuation period is a fluctuation period in which the fluctuation amplitude reaches a preset standard;
determining the mean value of the fluctuation stress based on the first mean value and the preset coefficient;
and determining the fluctuation amplitude mean value based on the first mean value, the second mean value and the preset coefficient.
Specifically, the preset standard for determining the target fluctuation period may be set as required, and only the fluctuation period having an influence on the life of the experimental fan may be selected from the fluctuation period, for example: the preset criteria may be set to a fluctuation period in which the fluctuation amplitude reaches the first 30%.
In one particular embodiment, for a selected period of time ΔT for the passage of the target blade under the corresponding conditions shown in FIG. 4 i Displacement load spectrum D of (2) i (t) removing data trend lines, and performing reduced-order processing on the data by adopting a rain flow counting method to obtain a displacement load spectrum shown in fig. 5, so that a displacement amplitude mean value D can be calculated from the displacement load spectrum shown in fig. 5 i_m Then, the number n of fluctuation periods corresponding to the larger fluctuation amplitude of the first 30% can be calculated i Peak/trough displacement amplitude mean value D i_A . Mean S of fluctuation stress of experimental fan i_m Size and fluctuation amplitude mean S i_A The size is as follows:
wherein a is a preset coefficient, and i is a working condition i.
Based on the foregoing embodiment, the determining the life damage value per unit time of the experimental fan corresponding to each working condition based on the mean value of the fluctuating stress, the mean value of the fluctuating amplitude, and the fatigue curve of the experimental fan material includes:
determining an equivalent stress load spectrum of the target blade based on the mean value of the fluctuating stress and the mean value of the fluctuating amplitude;
determining the number of fatigue alternating periods of the experimental fan under each working condition based on the equivalent stress load spectrum and the fatigue curve;
determining the service lives of the experimental fans under the working conditions based on the number of the fatigue alternating periods;
and determining a life damage value of the experimental fan in unit time corresponding to each working condition based on the working condition life.
Specifically, gerber criteria may be used to convert the fluctuating stress to an equivalent stress load with zero mean, and the time period ΔT for the target blade to pass may be determined i Equivalent stress load spectrum S of (2) i_e ：
Wherein S is u Is the tensile strength of the structural material of the fan.
By substituting the formula (7) into the formula (5), the number N of fatigue alternating periods under each working condition can be obtained i The service life of the experimental fan corresponding to each working condition i The method comprises the following steps:
thereby obtaining the damage value d of the unit time corresponding to each working condition i ：
Based on the above-described embodiments, the method for predicting remaining life of a fan further includes: the method for determining the preset coefficient;
the method for determining the preset coefficient comprises the following steps:
acquiring the working time of each fault fan under each working condition;
determining a preselected coefficient corresponding to each fault fan based on the displacement load spectrum and the relation between the working time and the life damage value of the fault fan in unit time corresponding to each working condition;
and calculating the average value of the preselected coefficients to be used as the preset coefficients.
Specifically, the failed fan may be regarded as a fan that reaches the fatigue life, and thus the life damage value per unit time and the operated time length thereof satisfy the relationship as shown in the formula (1), and for each failed fan l, considering the relationship between the displacement load spectrum and the life damage value per unit time, in the formula (1), only an unknown number of preset coefficients is present in the life damage value per unit time corresponding to each working condition, and thus, the preselected coefficient corresponding to each failed fan may be determined based on the relationship between the displacement load spectrum and the operation time length of each failed fan under each working condition and the life damage value per unit time corresponding to each working condition of the failed fan.
More specifically, the data for each failed fan may calculate a value of a preselected coefficient a, and by accumulating after-market failed fan data, a series of preselected coefficients a are continuously calculated 1 、a 2 、…、a x The value of the preset coefficient a after continuously optimizing the precision can be calculated by taking the average value:
based on the foregoing embodiment, the determining the pre-selected coefficient corresponding to each failed fan based on the displacement load spectrum and the relationship between the operation duration and the life damage value per unit time of each working condition of the failed fan includes:
based on the displacement load spectrum, respectively determining the corresponding relation between the preselected coefficient and the mean value of the fluctuation stress and the mean value of the fluctuation amplitude as a first corresponding relation;
based on the first corresponding relation, determining a corresponding relation between the preselected coefficient and an equivalent stress load spectrum of the target blade in the unit time period as a second corresponding relation;
based on the second corresponding relation and the fatigue curve, determining the corresponding relation between the preselected coefficient and the service life of the experimental fan under each working condition as a third corresponding relation;
based on the third corresponding relation, determining a relation between the preselected coefficient and a life damage value of each working condition corresponding to the experimental fan in unit time as a fourth corresponding relation;
and determining a preselected coefficient corresponding to each fault fan based on the fourth corresponding relation and the relation between the working time and the life damage value of each working condition corresponding to the fault fan.
Specifically, the first correspondence is shown in formula (6), the second correspondence is shown in formula (7) and can be obtained by formula (6), then the third correspondence is shown in formula (8) and can be obtained by substituting formula (7) into the fatigue curve, then the fourth correspondence is shown in formula (9), and finally the preselected coefficient of the failed fan can be determined by substituting formula (9) into formula (1).
Based on the foregoing embodiment, the method for determining the preset coefficient further includes:
continuously acquiring operation data of a new fault fan;
and continuously correcting the preset coefficient based on the displacement load spectrum and the operation data of the new fault fan.
Specifically, by continuously acquiring the operation data of the new fault fan, the preset coefficient can be continuously updated and corrected, namely, the precision of the preset coefficient is improved, so that the calculation precision of the residual life of the online operation fan is improved.
Based on the above embodiments, the overall logic principle of the method for predicting the remaining life of a fan provided by the embodiment of the present invention is shown in fig. 6, and as can be seen from the flow shown in fig. 6, the method for predicting the remaining life of a fan provided by the embodiment of the present invention collects the blade displacement fluctuation data of a fan under various working conditions as a displacement load spectrum by adopting a non-contact experimental method of a sensor, processes the displacement load spectrum, respectively constructs a fan structure average stress and fluctuation stress functional relation containing undetermined coefficients according to structural stress and strain theory, and then combines with fatigue theory, and calculates the value of the preset coefficient and the damage value of the experimental fan corresponding to the unit time of each working condition according to the working time statistical data of a post-sale or experimental fault fan under each working condition, thereby enabling the remaining life of the fan to be calculated through the detected running time corresponding to each working condition of the online running fan. And the calculation accuracy of the preset coefficient is corrected by accumulating after-sales fault data and continuously updating iteration, so that the calculation accuracy of the residual life of the online running fan is improved.
Based on the same general inventive concept, the present invention also protects a fan remaining life prediction system, and the fan remaining life prediction system provided by the present invention is described below, and the fan remaining life prediction system described below and the fan remaining life prediction method described above may be referred to correspondingly to each other.
Fig. 7 is a schematic diagram of a fan remaining life prediction system provided by the present invention. As shown in fig. 7, the system includes an acquisition module 710 and an analysis module 720; wherein:
the obtaining module 710 is configured to obtain an operated duration of the fan to be tested under each working condition;
the analysis module 720 is configured to determine a remaining lifetime of the fan to be tested based on the operated duration and a lifetime damage value of the fan to be tested in unit time corresponding to each working condition;
wherein, the life damage value of the fan to be tested in unit time corresponding to each working condition is determined by the following method:
acquiring a displacement load spectrum of a target blade of an experimental fan in a unit time period under each working condition, wherein the unit time period is the time length of the target blade passing through a sensor for detecting the deformation and displacement of the blade when the experimental fan is operated;
determining a mean value of fluctuation stress and a mean value of fluctuation amplitude borne by the experimental fan based on the displacement load spectrum and a preset coefficient, wherein the preset coefficient is a coefficient determined based on operation data of a fault fan and the displacement load spectrum;
and determining a life damage value of the experimental fan corresponding to each working condition in unit time based on the fluctuation stress average value, the fluctuation amplitude average value and the fatigue curve of the experimental fan material, and taking the life damage value of the experimental fan corresponding to each working condition in unit time as the life damage value of the fan to be tested.
According to the fan remaining life prediction system provided by the embodiment of the invention, the remaining life of the fan to be detected is determined based on the operated time length and the unit time life damage value of the fan to be detected corresponding to each working condition by acquiring the operated time length of the fan to be detected under each working condition, wherein the unit time life damage value of the fan to be detected corresponding to each working condition is determined according to the displacement load spectrum of the target blade of the experimental fan in the unit time period, the preset coefficient and the like, so that the remaining life of the fan to be detected can be determined only by acquiring the operated time length of the fan to be detected under each working condition, the difficulty of predicting the remaining life of the fan is greatly reduced, and the reliability of the fan in application is further ensured.
Based on the same general inventive concept, the invention also protects a fan, wherein the fan comprises the fan residual life prediction system or performs residual life prediction by adopting the fan residual life prediction method according to any embodiment.
Based on the same general inventive concept, the present invention also provides a work machine including a fan as described in the above embodiments, the work machine including an excavator, and the like.
Fig. 8 illustrates a physical structure diagram of an electronic device, as shown in fig. 8, which may include: processor 810, communication interface (Communications Interface) 820, memory 830, and communication bus 840, wherein processor 810, communication interface 820, memory 830 accomplish communication with each other through communication bus 840. Processor 810 may invoke logic instructions in memory 830 to perform a method of predicting remaining life of a fan, the method comprising: acquiring the running time of the fan to be tested under each working condition; determining the residual life of the fan to be tested based on the operated time and the life damage value of the fan to be tested in unit time corresponding to each working condition; wherein, the life damage value of the fan to be tested in unit time corresponding to each working condition is determined by the following method: acquiring a displacement load spectrum of a target blade of an experimental fan in a unit time period under each working condition, wherein the unit time period is the time length of the target blade passing through a sensor for detecting the deformation and displacement of the blade when the experimental fan is operated; determining a mean value of fluctuation stress and a mean value of fluctuation amplitude borne by the experimental fan based on the displacement load spectrum and a preset coefficient, wherein the preset coefficient is a coefficient determined based on operation data of a fault fan and the displacement load spectrum; and determining a life damage value of the experimental fan corresponding to each working condition in unit time based on the fluctuation stress average value, the fluctuation amplitude average value and the fatigue curve of the experimental fan material, and taking the life damage value of the experimental fan corresponding to each working condition in unit time as the life damage value of the fan to be tested.
Further, the logic instructions in the memory 830 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, are capable of performing the method of predicting remaining life of a fan provided by the above methods, the method comprising: acquiring the running time of the fan to be tested under each working condition; determining the residual life of the fan to be tested based on the operated time and the life damage value of the fan to be tested in unit time corresponding to each working condition; wherein, the life damage value of the fan to be tested in unit time corresponding to each working condition is determined by the following method: acquiring a displacement load spectrum of a target blade of an experimental fan in a unit time period under each working condition, wherein the unit time period is the time length of the target blade passing through a sensor for detecting the deformation and displacement of the blade when the experimental fan is operated; determining a mean value of fluctuation stress and a mean value of fluctuation amplitude borne by the experimental fan based on the displacement load spectrum and a preset coefficient, wherein the preset coefficient is a coefficient determined based on operation data of a fault fan and the displacement load spectrum; and determining a life damage value of the experimental fan corresponding to each working condition in unit time based on the fluctuation stress average value, the fluctuation amplitude average value and the fatigue curve of the experimental fan material, and taking the life damage value of the experimental fan corresponding to each working condition in unit time as the life damage value of the fan to be tested.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the above provided methods of predicting remaining life of a fan, the method comprising: acquiring the running time of the fan to be tested under each working condition; determining the residual life of the fan to be tested based on the operated time and the life damage value of the fan to be tested in unit time corresponding to each working condition; wherein, the life damage value of the fan to be tested in unit time corresponding to each working condition is determined by the following method: acquiring a displacement load spectrum of a target blade of an experimental fan in a unit time period under each working condition, wherein the unit time period is the time length of the target blade passing through a sensor for detecting the deformation and displacement of the blade when the experimental fan is operated; determining a mean value of fluctuation stress and a mean value of fluctuation amplitude borne by the experimental fan based on the displacement load spectrum and a preset coefficient, wherein the preset coefficient is a coefficient determined based on operation data of a fault fan and the displacement load spectrum; and determining a life damage value of the experimental fan corresponding to each working condition in unit time based on the fluctuation stress average value, the fluctuation amplitude average value and the fatigue curve of the experimental fan material, and taking the life damage value of the experimental fan corresponding to each working condition in unit time as the life damage value of the fan to be tested.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for predicting remaining life of a fan, comprising:
acquiring the running time of the fan to be tested under each working condition;
determining the residual life of the fan to be tested based on the operated time and the life damage value of the fan to be tested in unit time corresponding to each working condition;
wherein, the life damage value of the fan to be tested in unit time corresponding to each working condition is determined by the following method:
acquiring a displacement load spectrum of a target blade of an experimental fan in a unit time period under each working condition, wherein the unit time period is the time length of the target blade passing through a sensor for detecting the deformation and displacement of the blade when the experimental fan is operated;
determining a mean value of fluctuation stress and a mean value of fluctuation amplitude borne by the experimental fan based on the displacement load spectrum and a preset coefficient, wherein the preset coefficient is a coefficient determined based on operation data of a fault fan and the displacement load spectrum;
and determining a life damage value of the experimental fan corresponding to each working condition in unit time based on the fluctuation stress average value, the fluctuation amplitude average value and the fatigue curve of the experimental fan material, and taking the life damage value of the experimental fan corresponding to each working condition in unit time as the life damage value of the fan to be tested.
2. The method of claim 1, wherein determining the mean value of the fluctuation stress and the mean value of the fluctuation amplitude of the experimental fan based on the displacement load spectrum and a preset coefficient comprises:
removing linear trend and reducing order of the displacement load spectrum, and determining a displacement amplitude average value of the target blade as a first average value;
determining the average value of the peak displacement amplitude and the trough displacement amplitude in each target fluctuation period of the target blade, wherein the target fluctuation period is a fluctuation period in which the fluctuation amplitude reaches a preset standard;
determining the mean value of the fluctuation stress based on the first mean value and the preset coefficient;
and determining the fluctuation amplitude mean value based on the first mean value, the second mean value and the preset coefficient.
3. The method of claim 2, wherein determining a life damage per unit time value of the experimental fan for each of the operating conditions based on the mean value of the fluctuating stress, the mean value of the fluctuating amplitude, and a fatigue curve of the experimental fan material comprises:
determining an equivalent stress load spectrum of the target blade based on the mean value of the fluctuating stress and the mean value of the fluctuating amplitude;
determining the number of fatigue alternating periods of the experimental fan under each working condition based on the equivalent stress load spectrum and the fatigue curve;
determining the service lives of the experimental fans under the working conditions based on the number of the fatigue alternating periods;
and determining a life damage value of the experimental fan in unit time corresponding to each working condition based on the working condition life.
4. The method of predicting remaining life of a fan as claimed in claim 1, further comprising: the method for determining the preset coefficient;
the method for determining the preset coefficient comprises the following steps:
acquiring the working time of each fault fan under each working condition;
determining a preselected coefficient corresponding to each fault fan based on the displacement load spectrum and the relation between the working time and the life damage value of the fault fan in unit time corresponding to each working condition;
and calculating the average value of the preselected coefficients to be used as the preset coefficients.
5. The method of claim 4, wherein said determining a preselected coefficient for each of said failed fans based on said displacement load spectrum and a relationship between said operating time and a life damage per unit time value for each of said operating conditions for said failed fan, comprises:
based on the displacement load spectrum, respectively determining the corresponding relation between the preselected coefficient and the mean value of the fluctuation stress and the mean value of the fluctuation amplitude as a first corresponding relation;
based on the first corresponding relation, determining a corresponding relation between the preselected coefficient and an equivalent stress load spectrum of the target blade in the unit time period as a second corresponding relation;
based on the second corresponding relation and the fatigue curve, determining the corresponding relation between the preselected coefficient and the service life of the experimental fan under each working condition as a third corresponding relation;
based on the third corresponding relation, determining a relation between the preselected coefficient and a life damage value of each working condition corresponding to the experimental fan in unit time as a fourth corresponding relation;
and determining a preselected coefficient corresponding to each fault fan based on the fourth corresponding relation and the relation between the working time and the life damage value of each working condition corresponding to the fault fan.
6. The method of predicting remaining life of a fan as claimed in claim 5, wherein the determining method of the preset coefficient further comprises:
continuously acquiring operation data of a new fault fan;
and continuously correcting the preset coefficient based on the displacement load spectrum and the operation data of the new fault fan.
7. A fan remaining life prediction system, comprising:
the acquisition module is used for acquiring the running time of the fan to be tested under each working condition;
the analysis module is used for determining the residual life of the fan to be tested based on the running time and the life damage value of the fan to be tested in unit time corresponding to each working condition;
wherein, the life damage value of the fan to be tested in unit time corresponding to each working condition is determined by the following method:
acquiring a displacement load spectrum of a target blade of an experimental fan in a unit time period under each working condition, wherein the unit time period is the time length of the target blade passing through a sensor for detecting the deformation and displacement of the blade when the experimental fan is operated;
determining a mean value of fluctuation stress and a mean value of fluctuation amplitude borne by the experimental fan based on the displacement load spectrum and a preset coefficient, wherein the preset coefficient is a coefficient determined based on operation data of a fault fan and the displacement load spectrum;
and determining a life damage value of the experimental fan corresponding to each working condition in unit time based on the fluctuation stress average value, the fluctuation amplitude average value and the fatigue curve of the experimental fan material, and taking the life damage value of the experimental fan corresponding to each working condition in unit time as the life damage value of the fan to be tested.
8. A fan comprising the remaining life prediction system according to claim 7, or performing remaining life prediction using the remaining life prediction method according to any one of claims 1 to 6.
9. A work machine comprising a fan as claimed in claim 8.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of predicting remaining life of a fan as claimed in any one of claims 1 to 6 when executing the program.
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| CN202310789168.4A CN116838632A (en) | 2023-06-29 | 2023-06-29 | Fan remaining life prediction method and system, fan and working machine |
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| CN202310789168.4A CN116838632A (en) | 2023-06-29 | 2023-06-29 | Fan remaining life prediction method and system, fan and working machine |
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| CN202310789168.4A Pending CN116838632A (en) | 2023-06-29 | 2023-06-29 | Fan remaining life prediction method and system, fan and working machine |
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