CN113378329A - Axial plunger pump state monitoring method based on digital twinning - Google Patents
Axial plunger pump state monitoring method based on digital twinning Download PDFInfo
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Abstract
The invention discloses a digital twin-based axial plunger pump state monitoring method, which comprises the steps of S1 obtaining geometric structure parameters of an axial plunger pump, and inquiring material characteristic parameters; measuring a vibration signal, an outlet flow signal, a pressure signal and an initial working condition/environment parameter of a pump shell of the axial plunger; s2, establishing a virtual prototype model of the axial plunger pump according to the parameters and the physical action relation acquired in S1; s3, fusing the axial plunger pump virtual prototype model into a unified physical model; s4 real-time monitoring the pump shell vibration signal, pump outlet flow signal, pump outlet pressure signal and working condition/environment parameter of the axial plunger pump system in the actual running process; s5, acquiring a digital twin model of the axial plunger pump; and S6, judging whether the axial plunger pump actually runs and generates faults or not through the obtained digital twin model of the axial plunger pump in S5. The working condition of the axial plunger pump system can be tracked in real time, and the accuracy of a fault monitoring result is improved.
Description
Technical Field
The invention belongs to the technical field of mechanical diagnosis intellectualization and digitization, and relates to a digital twin-based axial plunger pump state monitoring method.
Background
The axial plunger pump is a power element of a hydraulic transmission system of the engineering machinery, and the running state and the service performance of the axial plunger pump directly influence the construction quality and the operation safety of the engineering machinery. Because the internal structure of the axial plunger pump is complex, vibration and leakage faults are easy to occur when the axial plunger pump works under the working conditions of high rotating speed, high load and large flow for a long time, and therefore, the research on the state monitoring of the axial plunger pump is significant.
The state monitoring technology of the existing axial plunger pump is mainly based on the following two methods: data-driven diagnostic methods and model-driven diagnostic methods. However, the single data-driven diagnosis method and the single model-driven diagnosis method have the problems of inaccurate model, incomplete data, insufficient interaction and the like because the model and the data, the virtual and the entity are not communicated with each other, and cannot meet the requirements of high accuracy and high reliability of state monitoring and fault diagnosis of the plunger pump.
The digital twin is a new technology with real-time synchronization and high fidelity characteristics, and the virtual model is continuously updated through the information interaction and fusion between the high fidelity model simulation data and the measured data, so that the virtual model can become the accurate implementation mapping of a physical entity. The patent name is a numerical twin modeling method of a numerical control machine tool [ publication number: CN108107841A discloses a basic idea of utilizing a digital twinning technology, and provides a digital twinning modeling method for a numerical control machine tool, so that the model has the characteristics of multi-field unified modeling, mathematical formulation and object-oriented, and can reflect the essential relation of a complex electromechanical system more truly. The patent name is aeroengine turbine disc-rotor-bearing system digital twin modeling method [ grant no: CN110532625B proposes a modeling method of an aero-engine turbine disc-rotor-support system based on digital twinning, which is characterized in that a multi-physical field integrated simulation platform and a unified physical model are established by integrating a plurality of physical models of the aero-engine turbine disc-rotor-support system, and the defects that the existing modeling method has single consideration factor and insufficient real-time change consideration on the operation condition can be overcome. The model has the capability of tracking the working condition change of the bearing in real time, so that the model prediction result is more accurate.
Disclosure of Invention
The invention provides a method for detecting the state of an axial plunger pump, which solves the problems of low monitoring reliability and accuracy caused by difficult data acquisition in the methods for detecting the state of the axial plunger pump and monitoring faults in the prior art and the inaccurate detection result caused by insufficient consideration of the physical characteristics of the axial plunger pump in the prior art.
The technical scheme adopted by the invention is a digital twin-based axial plunger pump state monitoring method, which comprises the following steps of:
step S1: acquiring geometric structure parameters of the axial plunger pump, and inquiring material characteristic parameters; measuring a vibration signal, an outlet flow signal, a pressure signal and initial working condition/environment parameters of an axial plunger pump shell;
step S2: establishing a virtual prototype model of the axial plunger pump according to the parameters and the physical action relation acquired in the step S1;
step S3: fusing the axial plunger pump virtual prototype model into a unified physical model;
step S4: monitoring a pump shell vibration signal, an outlet flow signal, an outlet pressure signal and working conditions/environmental parameters of the axial plunger pump in real time in the actual operation process of the axial plunger pump system;
step S5: acquiring a digital twin model of the axial plunger pump;
step S6: and judging whether the axial plunger pump actually runs and generates faults or not through the obtained digital twin model of the axial plunger pump in the step S5.
Furthermore, the geometric structure of the axial plunger pump in the step S1 includes a top cover, a swash plate, a slipper, a plunger, a cylinder, a port plate, a pump housing, a pump body, a bearing, and a main shaft, and the structural parameters are obtained by measuring solid components or directly from a CAD drawing file; the initial working condition/environment parameters are the rotating speed of the main shaft, the hydraulic oil characteristics and the working load of the axial plunger pump.
Further, the physical action relationship in step S2 includes a friction force between the piston shoe and the swash plate of the axial plunger pump, a friction force between the piston shoe and the plunger, a friction force between the plunger and the cylinder, and a friction force between the port plate and the cylinder.
Further, the virtual prototype model of the axial plunger pump in the step S2 includes a three-dimensional solid model, a multi-body dynamic model, and a hydraulic model;
the three-dimensional solid model is as follows: establishing a three-dimensional solid model by utilizing Solidworks software according to the geometric structure parameters of the axial plunger pump, the top cover, the swash plate, the sliding shoe, the plunger, the cylinder barrel, the valve plate, the pump shell, the pump body, the bearing, the main shaft and the like obtained in the step S1;
the multi-body kinetic model is: introducing the obtained three-dimensional solid model into Adams software, setting material parameters and mechanical properties of an axial plunger pump and parts in the Adams software in the step S1, adding kinematic pairs among all parts of the axial plunger pump, wherein the kinematic pairs are mainly a plane pair of a swash plate and a slipper, the slipper and the plunger are a spherical hinge pair, the plunger and a cylinder barrel are a cylindrical pair, a fixed pair is a thrust plate and a pump body, the plane pair is a thrust plate and the cylinder barrel, the fixed pair is a fixed pair between a main shaft and the cylinder barrel, a top cover, a pump shell and the pump body are fixed pairs, and simultaneously setting a main shaft driving force to simulate the real motion condition of the plunger pump and establish a multi-body dynamic model;
the hydraulic model is as follows: and respectively establishing each sub-model by using AMESim software, connecting the sub-models into an integral model through interfaces, copying the assembled single-plunger hydraulic model for 9 times, wherein the initial phase difference of adjacent single-plunger models is 2 pi/9 so as to distinguish the initial positions of plungers in different plunger holes and obtain the axial plunger pump hydraulic model.
Furthermore, the sub-models of the hydraulic model comprise a flow model, a motion model and a valve plate model; the flow model mainly describes the flow conveying process of the plunger cavity; the motion model is the relation among the inclination angle of the swash plate, the rotating speed of the main shaft and the speed of the plunger; the valve plate model controls the oil absorption and oil discharge rule, controls the signal of a control function to be 0-2 pi through an angle limiter, and inputs an input signal to an orifice to control the size of an opening to simulate the oil absorption process.
Further, the step S3 is specifically: and (4) considering the coordination relationship and interface matching between the different axial plunger pump virtual prototype models obtained in the step (S2), establishing a multi-physical-field combined simulation platform containing a plurality of virtual prototype models by using software, and fusing the virtual prototype models into a unified physical model.
Further, in step S4, the pump casing vibration signal, the pump outlet flow rate signal, and the pump outlet pressure signal are measured by a vibration sensor and a pressure sensor; the working condition/environment parameters at least comprise the rotating speed of a main shaft of the axial plunger pump, hydraulic oil characteristic parameters and the working load of the plunger pump.
Further, the specific step of step S5 is:
step S5.1: inputting the working condition/environmental parameter obtained in the step S4 into a unified physical model for calculation in real time, guiding the main shaft rotating speed calculated by simulating the multi-body dynamic model of the axial plunger pump in Adams software into a hydraulic model constructed by AMESim software to form real-time data exchange between the multi-body dynamic model and the hydraulic model, and finally simulating the axial plunger pump system through the unified physical model to obtain an outlet flow signal of the axial plunger pump, a pressure signal of a single plunger pump and an outlet pressure signal of the plunger pump;
step S5.2: denoising the axial plunger pump casing vibration signal, the axial plunger pump outlet flow signal and the axial plunger pump outlet pressure signal which are measured in the step S4 to obtain a low-noise axial plunger pump, a pressure signal and a vibration signal;
step S5.3: comparing the simulation result obtained in the step S5.1 with the actual measurement result subjected to the noise reduction processing in the step S5.2, and calculating the deviation of the simulation result and the actual measurement result; adjusting and correcting the internal parameters of the unified physical model in the step S3 according to the deviation value, wherein the error rate is less than 5%, so as to obtain a digital twin model of the axial plunger pump system with real-time synchronization and faithful mapping; wherein the internal parameters at least comprise working condition/environment parameters and model parameters of the axial plunger pump system; and adjusting and correcting the internal parameters of the unified physical model by using an extended Kalman filtering algorithm, thereby obtaining the digital twin model of the axial plunger pump capable of being synchronized in real time.
Further, the step S6 is specifically: giving a vibration signal and a pressure signal of the axial plunger pump under the operation condition and the environment, performing simulation calculation on the vibration signal and the pressure signal through the digital twin model of the axial plunger pump constructed in the step S5, extracting energy characteristics in the simulated vibration signal by using an empirical mode decomposition (EDM) method, extracting time domain characteristics in the simulated pressure signal, inputting the extracted characteristics into a support vector machine for characteristic fusion, and judging whether the axial plunger pump fails by adopting but not limited to a Particle Swarm Optimization (PSO).
Further, the time-domain features of the pressure signal include 9 time-domain features of the pressure signal, i.e., a mean, a root mean square value, a standard deviation, a skewness, a kurtosis, a crest factor, a margin factor, a form factor, and a shock factor.
The invention has the beneficial effects that: the method is characterized in that a unified physical model of the axial plunger pump is established based on a plurality of digital twin submodels, the working state of the axial plunger pump is monitored on line by establishing the digital twin model of the axial plunger pump system, and factors such as interaction force, moment, liquid-solid coupling effect and the like among different parts in the axial plunger pump are comprehensively considered, so that a more accurate result is obtained; accurate monitoring results can be output in real time in the actual operation process, and important guarantee is provided for guaranteeing the safe operation of the axial plunger pump. The simulation signal of the digital twin model is compared with the vibration signal of the noise-reduced actually-measured axial plunger pump system, the comparison result is adjusted and corrected with the internal parameters of the model (until the error is not more than 5%), and the working condition change of the axial plunger pump system can be tracked in real time, so that the accuracy of the fault monitoring result is improved. By the method, an accurate and real-time digital twin model of the axial plunger pump system can be established, and a good foundation can be laid for fault mechanism analysis from the perspective of positive problems and fault diagnosis research from the perspective of negative problems.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart for modeling a digital twin model of a digital twin-based axial plunger pump according to an embodiment of the present invention;
FIG. 2 is a flow chart for providing digital twin based axial plunger pump condition monitoring in accordance with an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, a digital twin-based axial plunger pump condition monitoring method provided by an embodiment of the present invention specifically includes the following steps:
step S1: acquiring geometric structure parameters of the axial plunger pump, and inquiring material characteristic parameters; and acquiring a vibration signal, an outlet flow signal, a pressure signal and initial working condition/environment parameters of the axial plunger pump shell.
Measuring geometric structure parameters of parts such as a top cover, a swash plate, a sliding shoe, a plunger, a cylinder barrel, a valve plate, a pump shell, a pump body, a bearing, a main shaft and the like of the axial plunger pump or directly obtaining the geometric structure parameters from a CAD (computer aided design) drawing file of the parts; inquiring characteristic parameters of material grades, mechanical properties and the like of each geometric structure; and measuring a vibration signal, an outlet flow signal, a pressure signal and initial working condition/environment parameters of the axial plunger pump shell, wherein the initial working condition/environment parameters comprise the rotating speed of a main shaft, the characteristics of hydraulic oil, the working load of the axial plunger pump and the like.
Step S2: and establishing a virtual prototype model of the axial plunger pump according to the parameters and the physical action relation acquired in the step S1.
The physical action relationship at least comprises the friction between a piston shoe and a swash plate of the axial plunger pump, the friction between the piston shoe and a plunger, the friction between the plunger and a cylinder barrel and the friction between a flow distribution plate and the cylinder barrel.
The axial plunger pump virtual prototype model comprises a three-dimensional entity model, a multi-body dynamic model and a hydraulic model; the specific establishment process comprises the following steps: and (4) establishing a three-dimensional solid model by utilizing Solidworks software according to the geometric structure parameters of the parts such as the axial plunger pump, the top cover, the swash plate, the sliding shoe, the plunger, the cylinder barrel, the valve plate, the pump shell, the pump body, the bearing, the main shaft and the like obtained in the step (S1). Then, the obtained three-dimensional entity model is imported into Adams software, material parameters and mechanical properties of an axial plunger pump and parts are obtained in the step S1, kinematic pairs among the parts of the axial plunger pump are added, mainly a plane pair of a swash plate and a slipper, a spherical hinge pair of the slipper and a plunger, a cylindrical pair of the plunger and a cylinder, a fixed pair of a thrust plate and a pump body, a plane pair of the thrust plate and the cylinder, a fixed pair of a main shaft and the cylinder, a top cover, a pump shell and a pump body are arranged between the main shaft and the cylinder, and a main shaft driving force is set at the same time to simulate the real motion condition of the plunger pump and establish a multi-body dynamics model; the hydraulic model firstly establishes each sub-model by AMESim software, and then is connected into an integral model through interfaces, wherein each sub-model comprises a flow model, a motion model and a valve plate model. The flow model mainly describes the flow conveying process of the plunger cavity; the motion model is the relation among the inclination angle of the swash plate, the rotating speed of the main shaft and the speed of the plunger; the valve plate model controls the oil absorption and oil discharge rule, controls the signal of a control function to be 0-2 pi through an angle limiter, and inputs an input signal to an orifice to control the size of an opening to simulate the oil absorption process. And then, copying the assembled single-plunger hydraulic model for 9 times, wherein the initial phase difference of each adjacent single-plunger model is 2 pi/9, so as to distinguish the initial positions of the plungers in different plunger holes, and obtain the axial plunger pump hydraulic model.
Step S3: and fusing the axial plunger pump virtual prototype model into a unified physical model.
And (4) considering the coordination relationship and interface matching between the different axial plunger pump virtual prototype models obtained in the step (S2), establishing a multi-physical-field combined simulation platform containing a plurality of virtual prototype models by using software, and fusing the virtual prototype models into a unified physical model.
Step S4: and monitoring a pump shell vibration signal, an outlet flow signal, an outlet pressure signal and working conditions/environmental parameters of the axial plunger pump in real time in the actual operation process of the axial plunger pump system.
The pump shell vibration signal, the pump outlet flow signal and the pump outlet pressure signal are measured by a vibration sensor and a pressure sensor; the working condition/environment parameters at least comprise the rotating speed of a main shaft of the axial plunger pump, hydraulic oil characteristic parameters and the working load of the plunger pump;
step S5: the method for acquiring the digital twin model of the axial plunger pump specifically comprises the following steps:
step S5.1: inputting the working condition/environmental parameter obtained in the step S4 into a unified physical model for calculation in real time, guiding the main shaft rotating speed calculated by simulating the multi-body dynamic model of the axial plunger pump in Adams software into a hydraulic model constructed by AMESim software to form real-time data exchange between the multi-body dynamic model and the hydraulic model, and finally simulating the axial plunger pump system through the unified physical model to obtain an outlet flow signal of the axial plunger pump, a pressure signal of a single plunger pump and an outlet pressure signal of the plunger pump;
step S5.2: denoising the axial plunger pump casing vibration signal, the axial plunger pump outlet flow signal and the axial plunger pump outlet pressure signal which are measured in the step S4 to obtain a low-noise axial plunger pump, a pressure signal and a vibration signal;
step S5.3: comparing the simulation result obtained in the step S5.1 with the actual measurement result subjected to the noise reduction processing in the step S5.2, and calculating the deviation of the simulation result and the actual measurement result; adjusting and correcting the internal parameters of the unified physical model in the step S3 according to the deviation value (the error rate is less than 5%), thereby obtaining a digital twin model of the axial plunger pump system with real-time synchronization and faithful mapping; wherein the internal parameters at least comprise working condition/environment parameters and model parameters of the axial plunger pump system; and adjusting and correcting the internal parameters of the unified physical model by using an extended Kalman filtering algorithm, thereby obtaining the digital twin model of the axial plunger pump capable of being synchronized in real time.
Step S6: and judging whether the axial plunger pump actually runs and generates faults or not through the obtained digital twin model of the axial plunger pump in the step S5.
Giving a vibration signal and a pressure signal of the axial plunger pump under the operation condition and the environment, performing simulation calculation on the vibration signal and the pressure signal through the digital twin model of the axial plunger pump constructed in the step S5, extracting energy characteristics in the simulated vibration signal by using an empirical mode decomposition (EDM) method, extracting time domain characteristics in the simulated pressure signal, inputting the extracted characteristics into a support vector machine for characteristic fusion, and judging whether the axial plunger pump fails by adopting but not limited to a Particle Swarm Optimization (PSO).
The time domain characteristics of the pressure signal comprise 9 time domain characteristics of the pressure signal, namely a mean value, a root mean square value, a standard deviation, skewness, kurtosis, a crest factor, a margin factor, a form factor and a shock factor;
the above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (10)
1. The method for monitoring the state of the axial plunger pump based on the digital twin is characterized by comprising the following steps of:
step S1: acquiring geometric structure parameters of the axial plunger pump, and inquiring material characteristic parameters; measuring a vibration signal, an outlet flow signal, a pressure signal and initial working condition/environment parameters of an axial plunger pump shell;
step S2: establishing a virtual prototype model of the axial plunger pump according to the parameters and the physical action relation acquired in the step S1;
step S3: fusing the axial plunger pump virtual prototype model into a unified physical model;
step S4: monitoring a pump shell vibration signal, an outlet flow signal, an outlet pressure signal and working conditions/environmental parameters of the axial plunger pump in real time in the actual operation process of the axial plunger pump system;
step S5: acquiring a digital twin model of the axial plunger pump;
step S6: and judging whether the axial plunger pump actually runs and generates faults or not through the obtained digital twin model of the axial plunger pump in the step S5.
2. The method for monitoring the state of the digital twin-based axial plunger pump according to claim 1, wherein the geometric structure of the axial plunger pump in the step S1 comprises a top cover, a swash plate, a slipper, a plunger, a cylinder, a port plate, a pump shell, a pump body, a bearing and a main shaft, and the structural parameters are obtained by measuring a solid part or directly from a CAD drawing file; the initial working condition/environment parameters are the rotating speed of the main shaft, the hydraulic oil characteristics and the working load of the axial plunger pump.
3. The method for monitoring the state of the digital twin-based axial plunger pump according to claim 1, wherein the physical action relationship in step S2 includes a friction force between a slipper and a swash plate of the axial plunger pump, a friction force between a slipper and a plunger, a friction force between a plunger and a cylinder, and a friction force between a port plate and a cylinder.
4. The method for monitoring the state of the digital twin-based axial plunger pump according to claim 1, wherein the virtual prototype model of the axial plunger pump in the step S2 comprises a three-dimensional solid model, a multi-body dynamic model and a hydraulic model;
the three-dimensional solid model is as follows: establishing a three-dimensional solid model by utilizing Solidworks software according to the geometric structure parameters of the axial plunger pump, the top cover, the swash plate, the sliding shoe, the plunger, the cylinder barrel, the valve plate, the pump shell, the pump body, the bearing, the main shaft and the like obtained in the step S1;
the multi-body kinetic model is: introducing the obtained three-dimensional solid model into Adams software, setting material parameters and mechanical properties of an axial plunger pump and parts in the Adams software in the step S1, adding kinematic pairs among all parts of the axial plunger pump, wherein the kinematic pairs are mainly a plane pair of a swash plate and a slipper, the slipper and the plunger are a spherical hinge pair, the plunger and a cylinder barrel are a cylindrical pair, a fixed pair is a thrust plate and a pump body, the plane pair is a thrust plate and the cylinder barrel, the fixed pair is a fixed pair between a main shaft and the cylinder barrel, a top cover, a pump shell and the pump body are fixed pairs, and simultaneously setting a main shaft driving force to simulate the real motion condition of the plunger pump and establish a multi-body dynamic model;
the hydraulic model is as follows: and respectively establishing each sub-model by using AMESim software, connecting the sub-models into an integral model through interfaces, copying the assembled single-plunger hydraulic model for 9 times, wherein the initial phase difference of adjacent single-plunger models is 2 pi/9 so as to distinguish the initial positions of plungers in different plunger holes and obtain the axial plunger pump hydraulic model.
5. The method for monitoring the state of the digital twin-based axial plunger pump according to claim 4, wherein the sub-models of the hydraulic model comprise a flow model, a motion model and a port plate model; the flow model mainly describes the flow conveying process of the plunger cavity; the motion model is the relation among the inclination angle of the swash plate, the rotating speed of the main shaft and the speed of the plunger; the valve plate model controls the oil absorption and oil discharge rule, controls the signal of a control function to be 0-2 pi through an angle limiter, and inputs an input signal to an orifice to control the size of an opening to simulate the oil absorption process.
6. The method for monitoring the condition of the digital twin-based axial plunger pump according to claim 1, wherein the step S3 is specifically as follows: and (4) considering the coordination relationship and interface matching between the different axial plunger pump virtual prototype models obtained in the step (S2), establishing a multi-physical-field combined simulation platform containing a plurality of virtual prototype models by using software, and fusing the virtual prototype models into a unified physical model.
7. The method for monitoring the state of the digital twin-based axial plunger pump according to claim 1, wherein the pump shell vibration signal, the pump outlet flow signal and the pump outlet pressure signal in the step S4 are measured by a vibration sensor and a pressure sensor; the working condition/environment parameters at least comprise the rotating speed of a main shaft of the axial plunger pump, hydraulic oil characteristic parameters and the working load of the plunger pump.
8. The method for monitoring the state of the digital twin-based axial plunger pump according to claim 1, wherein the specific steps of the step S5 are as follows:
step S5.1: inputting the working condition/environmental parameter obtained in the step S4 into a unified physical model for calculation in real time, guiding the main shaft rotating speed calculated by simulating the multi-body dynamic model of the axial plunger pump in Adams software into a hydraulic model constructed by AMESim software to form real-time data exchange between the multi-body dynamic model and the hydraulic model, and finally simulating the axial plunger pump system through the unified physical model to obtain an outlet flow signal of the axial plunger pump, a pressure signal of a single plunger pump and an outlet pressure signal of the plunger pump;
step S5.2: denoising the axial plunger pump casing vibration signal, the axial plunger pump outlet flow signal and the axial plunger pump outlet pressure signal which are measured in the step S4 to obtain a low-noise axial plunger pump, a pressure signal and a vibration signal;
step S5.3: comparing the simulation result obtained in the step S5.1 with the actual measurement result subjected to the noise reduction processing in the step S5.2, and calculating the deviation of the simulation result and the actual measurement result; adjusting and correcting the internal parameters of the unified physical model in the step S3 according to the deviation value, wherein the error rate is less than 5%, so as to obtain a digital twin model of the axial plunger pump system with real-time synchronization and faithful mapping; wherein the internal parameters at least comprise working condition/environment parameters and model parameters of the axial plunger pump system; and adjusting and correcting the internal parameters of the unified physical model by using an extended Kalman filtering algorithm, thereby obtaining the digital twin model of the axial plunger pump capable of being synchronized in real time.
9. The method for monitoring the condition of the digital twin-based axial plunger pump according to claim 1, wherein the step S6 is specifically as follows: giving a vibration signal and a pressure signal of the axial plunger pump under the operation condition and the environment, performing simulation calculation on the vibration signal and the pressure signal through the digital twin model of the axial plunger pump constructed in the step S5, extracting energy characteristics in the simulated vibration signal by using an empirical mode decomposition (EDM) method, extracting time domain characteristics in the simulated pressure signal, inputting the extracted characteristics into a support vector machine for characteristic fusion, and judging whether the axial plunger pump fails by adopting but not limited to a Particle Swarm Optimization (PSO).
10. The method of claim 9, wherein the time domain characteristics of the pressure signal include 9 time domain characteristics of the pressure signal, namely a mean, a root mean square value, a standard deviation, a skewness, a kurtosis, a crest factor, a margin factor, a form factor, a bump factor.
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| CN117570013A (en) * | 2024-01-11 | 2024-02-20 | 浙江大学高端装备研究院 | Fault diagnosis monitoring method, device and system for axial plunger pump |
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