CN115596656A - Hydraulic pump state monitoring and analyzing method - Google Patents
Hydraulic pump state monitoring and analyzing method Download PDFInfo
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- CN115596656A CN115596656A CN202211330647.1A CN202211330647A CN115596656A CN 115596656 A CN115596656 A CN 115596656A CN 202211330647 A CN202211330647 A CN 202211330647A CN 115596656 A CN115596656 A CN 115596656A
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- 238000000034 method Methods 0.000 title claims abstract description 64
- 238000012544 monitoring process Methods 0.000 title claims abstract description 52
- 238000012545 processing Methods 0.000 claims abstract description 101
- 230000002159 abnormal effect Effects 0.000 claims abstract description 34
- 238000004458 analytical method Methods 0.000 claims description 34
- 238000013528 artificial neural network Methods 0.000 claims description 8
- 230000005856 abnormality Effects 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 3
- 238000002360 preparation method Methods 0.000 claims description 2
- 239000003921 oil Substances 0.000 description 118
- 238000012423 maintenance Methods 0.000 description 11
- 238000003672 processing method Methods 0.000 description 11
- 239000000306 component Substances 0.000 description 9
- 238000004891 communication Methods 0.000 description 7
- 238000000354 decomposition reaction Methods 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 6
- 238000009826 distribution Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 3
- 239000010720 hydraulic oil Substances 0.000 description 3
- 238000010521 absorption reaction Methods 0.000 description 2
- 230000015556 catabolic process Effects 0.000 description 2
- 238000006731 degradation reaction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000010687 lubricating oil Substances 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 238000005299 abrasion Methods 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 238000007499 fusion processing Methods 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B51/00—Testing machines, pumps, or pumping installations
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B49/00—Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
- F04B49/10—Other safety measures
Abstract
The invention relates to the technical field of hydraulic pumps, in particular to the technical field of aviation hydraulic pumps, and specifically relates to a hydraulic pump state monitoring and analyzing method. The method comprises the following steps: collecting working data of a hydraulic pump and storing the working data; the working data comprises temperature data of an oil return port of the hydraulic pump; the first processor performs first processing on the working data to obtain first processing data comprising processed oil return opening temperature data; judging the working state of the hydraulic pump to be one of serious abnormity, general abnormity and normal based on the processed oil return port temperature data; the first processor performs second processing on the working data and/or the first processing data based on the working state judgment that the working state is seriously abnormal, so as to obtain second processing data; based on the second processing data, the first processor analyzes and determines the fault type of the hydraulic pump and sends out early warning signals and fault type information. Therefore, the problems of high difficulty and high cost of monitoring and analyzing the state of the hydraulic pump are solved.
Description
Technical Field
The invention relates to the technical field of hydraulic pumps, in particular to the technical field of aviation hydraulic pumps, and specifically relates to a hydraulic pump state monitoring and analyzing method.
Background
The hydraulic pump is a power element of a hydraulic system, and is an element which is driven by an engine or an electric motor, sucks low-pressure hydraulic oil from an inlet, discharges high-pressure hydraulic oil from an outlet, and delivers the hydraulic oil to an actuating element. The aviation hydraulic pump is a core component of an aircraft hydraulic system, provides energy for take-off, operation, undercarriage retraction and braking of an aircraft, and requires continuous and reliable operation in the whole flight process.
The hydraulic pump is an important part in the hydraulic system of the aircraft, and if the hydraulic pump fails, serious consequences can be caused, and the flight safety can be even affected. Due to the importance of hydraulic pumps in aircraft hydraulic systems, the operating parameters of hydraulic pumps are often monitored and faults occurring are analyzed. But this requires a computationally intensive processor on the aircraft to make rapid and accurate analysis and determination. This can result in difficult and costly monitoring and analysis of the hydraulic pump condition.
Disclosure of Invention
In order to solve the problems of high difficulty and high cost of the monitoring and analysis of the hydraulic pump state, the invention provides a hydraulic pump state monitoring and analysis method, which comprises the following steps:
s11, collecting working data of the hydraulic pump and storing the working data; wherein the working data comprises the temperature data of the oil return port of the hydraulic pump;
s12, a first processor performs first processing on the working data to obtain first processing data; the first processing data comprises processed oil return opening temperature data; judging that the working state of the hydraulic pump is seriously abnormal based on the fact that the processed oil return port temperature data is greater than a first oil return port temperature threshold; judging that the working state of the hydraulic pump is a general abnormity on the basis that the processed oil return port temperature data is greater than a second oil return port temperature threshold and less than or equal to the first oil return port temperature threshold; judging that the working state of the hydraulic pump is normal based on the processed oil return port temperature data being less than or equal to the second oil return port temperature threshold;
step S13, based on the working state, judging that the serious abnormality exists, and performing second processing on the working data and/or the first processing data by the first processor to obtain second processing data;
and S14, analyzing and determining the fault type of the hydraulic pump by the first processor based on the second processing data, and sending out an early warning signal and fault type information.
In some embodiments of the present invention, the,
the hydraulic pump state monitoring and analyzing method further comprises the following steps:
and S15, judging that the general abnormality is caused based on the working state, and sending out an early warning signal by the first processor.
In some embodiments of the present invention, the,
the working data further comprises oil return port pressure data; the hydraulic pump state monitoring and analyzing method further comprises the following steps:
step S121, based on that the processed oil return opening temperature data is less than or equal to the first oil return opening temperature threshold, the first processor performs first processing on the oil return opening pressure data to obtain first processed data, wherein the first processed data includes the processed oil return opening pressure data; judging that the working state of the hydraulic pump is the serious abnormity based on the fact that the processed oil return port pressure data is larger than a first oil return port pressure threshold; judging that the working state of the hydraulic pump is the general abnormity based on the processed oil return port pressure data being less than or equal to the first oil return port pressure threshold and greater than a second oil return port pressure threshold; and judging that the working state of the hydraulic pump is normal based on the processed oil return port pressure data being less than or equal to the second oil return port pressure threshold.
In some embodiments of the present invention, the,
the operational data further includes outlet pressure data; the hydraulic pump state monitoring and analyzing method further comprises the following steps:
step S122, based on that the processed oil return pressure is less than or equal to the first oil return pressure threshold, the first processor performs first processing on the outlet pressure data to obtain first processed data, where the first processed data includes processed outlet pressure data; judging that the working state of the hydraulic pump is the serious abnormity based on the processed outlet pressure data being smaller than a first outlet pressure threshold value; judging that the working state of the hydraulic pump is the general abnormality based on the processed outlet pressure data being greater than or equal to the first outlet pressure threshold and smaller than a second outlet pressure threshold; and judging that the working state of the hydraulic pump is normal based on the fact that the processed outlet pressure data is larger than the second outlet pressure threshold value.
In some embodiments of the present invention, the,
the operational data further comprises vibration data; the hydraulic pump state monitoring and analyzing method further comprises the following steps:
step S123, based on that the processed outlet pressure data is greater than or equal to the first outlet pressure threshold, the first processor performs first processing on the vibration data to obtain first processed data, where the first processed data includes first processed vibration data; judging that the working state of the hydraulic pump is seriously abnormal based on the fact that the first processed vibration data are larger than a first vibration threshold value; based on the fact that the first processed vibration data are smaller than or equal to the first vibration threshold and larger than a second vibration threshold, judging that the working state of the hydraulic pump is in a general abnormal state; and judging that the working state of the hydraulic pump is normal based on the fact that the first processed vibration data is smaller than or equal to the second vibration threshold.
In some embodiments of the present invention, the,
the operating data further comprises outlet temperature data; the hydraulic pump state monitoring and analyzing method further comprises the following steps:
step S124, based on that the first processed vibration data is less than or equal to the first vibration threshold, the first processor performs first processing on the outlet temperature data to obtain first processed data, where the first processed data includes processed outlet temperature data; judging that the working state of the hydraulic pump is seriously abnormal based on the fact that the processed outlet temperature data is greater than a first outlet temperature threshold; judging that the working state of the hydraulic pump is general abnormity based on the processed outlet temperature data being less than or equal to the first outlet temperature threshold and greater than a second outlet temperature threshold; and judging that the working state of the hydraulic pump is normal based on the processed outlet temperature data being less than or equal to the second outlet temperature threshold.
In some embodiments of the present invention, the,
the step S13 further includes:
step S131, the first processor performs third processing on the vibration data and/or the first processed vibration data to obtain third processed vibration data;
step S132, combining the third processed vibration data and the first processed data to form feature vector data;
step S133, screening the feature vector data to obtain screened data;
and S134, performing dimensionality reduction on the screened data to obtain second processed data.
In some embodiments of the present invention, the,
the step S14 further includes:
step S141, the first processor inputs the second processed data into a neural network for fourth processing to obtain fourth processed data;
and step S142, the first processor matches the fourth processing data with a fault model, and determines the fault type of the hydraulic pump.
In some embodiments of the present invention, the,
the hydraulic pump state monitoring and analyzing method further comprises the following steps:
step S161, based on the working status, determining that the general exception is detected, performing, by the second processor, fifth processing on the working data and/or the first processed data to obtain fifth processed data;
and step S162, analyzing and determining the fault type of the hydraulic pump by the second processor based on fifth processing data.
In some embodiments of the present invention, the,
the hydraulic pump state monitoring and analyzing method further comprises the following steps:
step S171, based on the working status, determining that the general anomaly or the normal is present, and performing, by the second processor, sixth processing on the working data and/or the first processed data to obtain sixth processed data;
step S172, based on the sixth processed data, the second processor analyzes and determines the remaining life of the hydraulic pump.
In order to solve the problems of great difficulty and high cost of the monitoring and analysis of the hydraulic pump state, the invention has the following advantages:
1, collecting the temperature of an oil return port in the working data of the hydraulic pump, performing first processing, and firstly judging the working state of the hydraulic pump. Then, only the operation data judged to be in the serious abnormal operation state is subjected to on-board analysis and processing, and the type of the failure is diagnosed. According to the invention, the state monitoring and fault diagnosis analysis method and strategy suitable for the hydraulic pump are constructed, so that a processor with lower computing capacity can be used for execution, and the difficulty and cost of the state monitoring and analysis of the hydraulic pump are reduced.
2 because the onboard processor system only analyzes and processes the serious abnormal working state, the critical fault alarm and report are realized, the reporting of the complex information at any time is not needed, the judgment of the information of the user is interfered, the calculation capacity of the onboard processor system can be reduced, and other calculation services are supported, so that the running cost of the aircraft is reduced.
Drawings
FIG. 1 illustrates a schematic diagram of a hydraulic pump condition monitoring and analysis method according to an embodiment;
FIG. 2 is a schematic diagram illustrating a hydraulic pump condition monitoring and analysis method according to another embodiment;
fig. 3 shows a schematic view of a hydraulic pump according to an embodiment.
Reference numerals:
10. a housing assembly;
20. a transmission assembly;
21. a drive shaft;
30. an oil distribution disc;
40. a plunger pump assembly;
41. a plunger cylinder;
42. a plunger rod;
43. an oil return passage;
50. a variable component;
51. a slipper;
52. a variable head;
53. an adjustment member.
Detailed Description
The disclosure will now be discussed with reference to several exemplary embodiments. It should be understood that these embodiments are discussed only to enable those of ordinary skill in the art to better understand and thus implement the present disclosure, and are not intended to imply any limitation on the scope of the present disclosure.
As used herein, the term "include" and its variants are to be read as open-ended terms meaning "including, but not limited to. The term "based on" is to be read as "based, at least in part, on". The terms "one embodiment" and "an embodiment" are to be read as "at least one embodiment". The term "another embodiment" is to be read as "at least one other embodiment".
The embodiment discloses a method for monitoring and analyzing the state of a hydraulic pump, as shown in figures 1 and 3,
the hydraulic pump state monitoring and analyzing method may include:
s11, collecting working data of the hydraulic pump and storing the working data; the working data comprises temperature data of an oil return port of the hydraulic pump;
s12, a first processor performs first processing on the working data to obtain first processing data; the first processing data comprises processed oil return opening temperature data; judging the working state of the hydraulic pump to be seriously abnormal based on the fact that the processed oil return port temperature data is greater than a first oil return port temperature threshold; judging the working state of the hydraulic pump to be generally abnormal based on the fact that the processed oil return port temperature data is larger than a second oil return port temperature threshold and smaller than or equal to a first oil return port temperature threshold; judging the working state of the hydraulic pump to be normal based on the processed oil return port temperature data being less than or equal to a second oil return port temperature threshold;
s13, judging that the working state is serious abnormal, and carrying out second processing on the working data and/or the first processing data by the first processor to obtain second processing data;
and S14, analyzing and determining the fault type of the hydraulic pump by the first processor based on the second processing data, and sending out an early warning signal and fault type information.
In the present embodiment, as shown in fig. 1 and 3, the hydraulic pump is an important component in the hydraulic system of the aircraft, and its main components may include a housing assembly 10, a transmission assembly 20, an oil distribution pan 30, a plunger pump assembly 40, a variable assembly 50, and an oil tank. An external motor or generator generates torque to drive the drive shaft 21 in the drive assembly 20 for rotation. The plunger pump assembly 40 may include a plunger cylinder 41 and a plunger rod 42, and the variable assembly 50 may include a slipper 51, a variable head 52, and an adjusting part 53. One end of the transmission shaft 21 is fixedly connected with the plunger cylinder 41, and the transmission shaft 21 drives the plunger cylinder 41 to rotate when rotating. The plunger rod 42 is disposed in an oil chamber of the plunger cylinder 41 and is reciprocable in the oil chamber. One end of the plunger rod 42 is movably connected with a sliding shoe 51, and the sliding shoe 51 is slidably connected with the inclined plane of the variable head 52. In the process that the plunger rod 42 rotates along with the transmission shaft 21, as the axial distance between one end of the plunger rod 42 and the inclined plane of the variable head 52 is constant, the plunger rod 42 reciprocates in the oil chamber of the plunger cylinder 41, and therefore the functions of sucking low-pressure oil and discharging high-pressure oil are achieved. The oil distribution disc 30 is provided with two waist grooves which are an oil absorption waist groove and an oil discharge waist groove respectively, the oil absorption waist groove is communicated with an oil inlet pipeline, and the oil discharge waist groove is communicated with an oil outlet pipeline. The oil suction waist groove and the oil discharge waist groove are intermittently communicated with the oil chamber of the plunger cylinder 41, so that low-pressure oil is sucked from the oil inlet pipeline and high-pressure oil is discharged from the oil outlet pipeline. Due to the high-speed rotation of the transmission shaft 21, the relative rotation between one end of the plunger rod 42 and the sliding shoe 51 and the relative sliding between the sliding shoe 51 and the variable head 52 are driven. In order to provide lubrication between the relatively moving parts, a return oil passage 43 is provided between the oil chamber and the plunger rod 42, so that part of the oil in the oil chamber is transferred between the relatively moving parts through the return oil passage 43 during the reciprocating movement of the plunger rod 42. When the hydraulic pump is continuously operated, the oil return passage 43 can continuously supply lubricating oil, and redundant lubricating oil can be conveyed to the oil tank through the oil return pipeline. The oil tank may be in communication with the oil inlet line for continuous supply of oil to the plunger pump assembly 40. The housing assembly 10 may be used to connect and maintain a relatively fixed position between the drive assembly 20, the oil distribution pan 30, the plunger pump assembly 40, the variable assembly 50, and the oil tank. The working state of the hydraulic pump is monitored to ensure the normal operation of the hydraulic pump and the judgment and analysis of the fault of the hydraulic pump. The hydraulic pump state monitoring and analyzing method can include steps S11 to S14, and each step is described in detail as follows:
and S11, a plurality of sensors of different types can be arranged on the hydraulic pump, and the working data of the hydraulic pump can be collected. The collected operational data may include hydraulic pump return temperature data. And meanwhile, the acquired working data is stored in a storage unit of the first processor, so that the working data can be analyzed and processed in the following process.
In step S12, a first processor may be further disposed on the hydraulic pump. The first processor is in communication connection with the working condition monitoring sensor. The operational data collected by the sensor may be transmitted to the first processor. The first processor can perform first processing on the temperature data of the hydraulic pump oil return opening in the working data to obtain first processing data including the processed temperature data of the oil return opening. The first processing may include one or more of outlier removal processing, trend term removal processing, and time domain analysis processing for the working data. The outlier removal processing and the trend item removal processing may remove or reduce interference of outlier data in the working data. The time domain analysis processing may be performed on the oil return port temperature data to obtain a mean and/or an extreme value in the data. The first processor may determine the operating state of the hydraulic pump by comparing the first processed data with a threshold value of the operating parameter. Based on the fact that the processed oil return port temperature data are larger than the first oil return port temperature threshold, the working state of the hydraulic pump can be judged to be seriously abnormal; based on the processed oil return port temperature data being greater than the second oil return port temperature threshold and less than or equal to the first oil return port temperature threshold, the working state of the hydraulic pump can be judged to be general abnormal; and based on the processed oil return port temperature data being less than or equal to the second oil return port temperature threshold value, the working state of the hydraulic pump can be judged to be normal. The temperature of the oil return port can quickly and accurately reflect the working condition of the hydraulic pump. When there is a large force between the plunger cylinder 41 and the plunger rod 42, more heat is generated, which causes the oil temperature to rise at the oil return port. The large force between the plunger cylinder 41 and the plunger rod 42 can cause plunger wear problems in the hydraulic pump, leading to failure of the hydraulic pump and seriously affecting the flight safety of the aircraft. When a large force exists between the slipper 51 and the variable head 52, the variable head 52 of the hydraulic pump may be worn greatly, and the temperature of oil at a return port may be increased. The variable head 52 has a large wear and tear, resulting in a failure of the hydraulic pump, which seriously affects the flight safety of the aircraft. The fault can be predicted in advance by monitoring the temperature of the oil return port, and a user and/or a maintenance person of the hydraulic pump can make a processing decision in time. The first processor completes the first processing and analysis comparison of the working data under the condition of small calculation load, so that the current working state of the hydraulic pump can be quickly and accurately obtained, the hydraulic pump can be further analyzed and processed subsequently, and the quick feedback of the normal working and abnormal states of the hydraulic pump can be ensured. In other embodiments, as shown in fig. 2, the method for monitoring and analyzing the state of the hydraulic pump may further include steps S121 to S124, specifically:
step S121, the state monitoring sensor disposed on the hydraulic pump may also acquire pressure data of the oil return port. When the processed oil return port temperature data is judged to be less than or equal to the first oil return port temperature threshold (namely the hydraulic pump is judged to be generally abnormal or normal through the processed oil return port temperature), the first processor can also perform first processing on the oil return port pressure data to obtain first processing data comprising the processed oil return port pressure data. Here, the first processing method may include an alignment process in addition to the first processing method for the oil return port temperature data. Through the alignment processing of the working data, the different working data can be synchronized at the time point. Therefore, when a plurality of working data are analyzed, the corresponding relation among the working data can be accurately found, and the working state of the hydraulic pump can be more accurately judged. The first processor may determine the operating state of the hydraulic pump by comparing the first processed data with a threshold value of the operating parameter. Judging the working state of the hydraulic pump to be seriously abnormal based on the fact that the processed pressure data of the oil return port is larger than the pressure threshold of the first oil return port; judging that the working state of the hydraulic pump is general abnormity based on the processed oil return port pressure data being less than or equal to a first oil return port pressure threshold and greater than a second oil return port pressure threshold; and judging that the working state of the hydraulic pump is normal based on the fact that the processed oil return port pressure data is smaller than or equal to a second oil return port pressure threshold value. When the oil return channel 43 provided between the oil chamber and the plunger rod 42 becomes large, this results in an increased amount of oil within the oil chamber being discharged from the oil return channel 43, resulting in an increased return port pressure, while the return port temperature may be in a normal state or in a general abnormal state. The problem of leakage of an oil return path of the hydraulic pump can be avoided by collecting and analyzing the pressure of the oil return port, the hydraulic pump is prevented from being out of work, and the flight safety of an aircraft is ensured. The occurrence of the fault can be predicted in advance by monitoring the pressure of the oil return port, so that a user and/or a maintenance person of the hydraulic pump can make a processing decision in time.
In step S122, the status monitoring sensor disposed on the hydraulic pump may also acquire outlet pressure data. When the processed oil return port pressure is judged to be less than or equal to the first oil return port pressure threshold (that is, the hydraulic pump is judged to be generally abnormal or normal through the above embodiment), the first processor may further perform first processing on the outlet pressure data to obtain first processed data including the processed outlet pressure data. The method of first processing the outlet pressure data may be the same as the method of first processing the return pressure data, and will not be described herein again. The first processor may determine the operating state of the hydraulic pump by comparing the first processed data with a threshold value of the operating parameter. Judging that the working state of the hydraulic pump is seriously abnormal based on the processed outlet pressure data being smaller than a first outlet pressure threshold value; judging that the working state of the hydraulic pump is general abnormity based on the processed outlet pressure data being more than or equal to the first outlet pressure threshold value and less than the second outlet pressure threshold value; and judging the working state of the hydraulic pump to be normal based on the processed outlet pressure data being larger than the second outlet pressure threshold value. When the oil return passage 43 provided between the oil chamber and the plunger rod 42 becomes large, this may result in an increase in the amount of oil discharged from the oil return passage 43 in the oil chamber or a leak from other parts of the hydraulic pump, resulting in a decrease in the outlet pressure. The problem of internal leakage of the hydraulic pump can be avoided through collection, analysis and processing of outlet pressure, failure of the hydraulic pump is prevented, and flight safety of an aircraft is ensured. By monitoring the outlet pressure, the occurrence of the fault can be predicted in advance, and the user and/or maintenance personnel of the hydraulic pump can make a processing decision in time.
Step S123, the state monitoring sensor arranged on the hydraulic pump may also collect vibration data. When the processed outlet pressure data is judged to be greater than or equal to the first outlet pressure threshold (i.e. the hydraulic pump is judged to be generally abnormal or normal through the above embodiment), the first processor may further perform the first processing on the vibration data to obtain first processed data including the first processed vibration data. The first processing method may include time domain analysis processing and/or frequency domain analysis processing in addition to the first processing method for the return port pressure data. And processing the vibration data by a time domain analysis processing method and/or a frequency domain analysis processing method to obtain the first processed vibration data. The vibration data may include axial vibration data and radial vibration data. The first processed vibration data may be a data set, and each data of the data set is then compared to a respective threshold. Judging that the working state of the hydraulic pump is seriously abnormal based on the fact that the first processed vibration data is larger than a first vibration threshold; judging that the working state of the hydraulic pump is general abnormity based on the fact that the first processed vibration data is smaller than or equal to a first vibration threshold value and larger than a second vibration threshold value; and judging that the working state of the hydraulic pump is normal based on the fact that the first processed vibration data is smaller than or equal to the second vibration threshold. Through the analysis and comparison of the vibration data after the first processing, the working condition of the hydraulic pump can be further judged, so that the serious abnormal state of the hydraulic pump is further judged, and the failure of the hydraulic pump is prevented.
In step S124, the state monitoring sensor disposed on the hydraulic pump may also collect outlet temperature data. When the first processed vibration data is judged to be less than or equal to the first vibration threshold (i.e. the hydraulic pump is judged to be generally abnormal or normal by the above embodiment), the first processor may further perform the first processing on the outlet temperature data to obtain first processed data including the processed outlet temperature data. The method for performing the first processing on the outlet temperature data may be the same as the method for performing the first processing on the return port pressure data, and will not be described herein again. The first processor may determine the operating state of the hydraulic pump by comparing the first processed data with a threshold value of the operating parameter. Judging that the working state of the hydraulic pump is seriously abnormal based on the processed outlet temperature data being greater than a first outlet temperature threshold value; judging the working state of the hydraulic pump to be general abnormity based on the processed outlet temperature data being less than or equal to the first outlet temperature threshold and greater than the second outlet temperature threshold; and judging that the working state of the hydraulic pump is normal based on the processed outlet temperature data being less than or equal to the second outlet temperature threshold. The problem of abrasion of the plunger of the hydraulic pump caused by large acting force between the oil chamber and the plunger rod 42 can be solved by collecting and analyzing the outlet temperature, the hydraulic pump is prevented from being out of work, and the flight safety of an aircraft is ensured. By monitoring the outlet temperature, the occurrence of such faults can be predicted in advance, facilitating timely processing decisions by the user and/or maintenance personnel of the hydraulic pump.
In still other embodiments, the operational data may also include hydraulic pump inlet temperature and inlet pressure. Under the same working condition, the higher the hydraulic pump inlet temperature is, the higher the temperature of the hydraulic pump return opening and the temperature of the hydraulic pump outlet can be caused to rise, the inlet temperature can be used as one of conditions for setting the temperature of the hydraulic pump return opening and the temperature threshold value of the hydraulic pump outlet, and therefore the temperature of the hydraulic pump return opening and the temperature of the hydraulic pump outlet can be judged more accurately. Similarly, the inlet pressure can be used as one of the conditions for setting the pressure of the hydraulic pump oil return port and the pressure threshold of the hydraulic pump outlet, so that the judgment of the pressure of the oil return port and the pressure of the outlet can be more accurate.
And step S13, after the first processing data are analyzed and compared, judging that the current working state is seriously abnormal. The serious abnormality here indicates that the hydraulic pump has failed or is about to fail, thereby determining that the hydraulic pump has a serious operational risk. The first processor can perform a second processing (i.e., more in-depth processing analysis) on the working data and/or the first processing data to obtain second processing data, and further analyze and determine the current fault type of the hydraulic pump, thereby helping a user and/or a maintenance person to perform an accurate and timely process. The second process may include a time-frequency analysis process and a data fusion process. In other embodiments, as shown in fig. 2, step S13 may further include steps S131 to S134, specifically:
in step S131, the first processor may perform third processing (i.e., real-time frequency analysis processing) on the vibration data and/or the first processed vibration data to obtain third processed vibration data. Wherein the time-frequency analysis process may include one or more of wavelet analysis process, HHT analysis process, and VMD analysis process. In still other embodiments, the initial value of the decomposition parameter input by the VMD analysis processing method may be set first, wherein the decomposition parameter may include a penalty parameter
Number of mode components
(ii) a Performing iterative decomposition on the vibration data and/or the first processed vibration data by using a VMD analysis processing method for setting initial decomposition parameters to obtain the vibration data to be optimized
A target component; solving an energy value and a kurtosis value of each target component; adopting particle swarm intelligent optimization algorithm to process different punishment parameters
Number of mode components
Optimizing decomposition is carried out, and optimal parameters are determined; and performing optimal VMD decomposition on the vibration data and/or the first processed vibration data based on the optimal decomposition parameters to obtain each optimally decomposed target component, and solving an energy value and a kurtosis value of each optimally decomposed target component to obtain the finally obtained third processed vibration data.
In step S132, the first processor may combine the third processed vibration data and the first processed data to form feature vector data. The first processed data may include one or more of processed oil return temperature data, processed oil return pressure data, processed outlet temperature data, and processed outlet pressure data.
In step S133, the first processor may perform a screening process on the feature vector data to obtain screened data. Therefore, interference data in the characteristic vector data can be removed, and the accuracy of fault diagnosis of the hydraulic pump is improved.
In step S134, the first processor may perform a dimension reduction process on the filtered data to obtain second processed data. Therefore, the finally obtained second processing data are convenient to be directly imported into a neural network for rapid analysis and processing. Therefore, the fault analysis of the hydraulic pump can be completed by adopting the first processor with small computing power.
Through the acquired second processing data, the first processor may analyze and determine the failure type of the hydraulic pump, step S14. And finally, the confirmed fault type and the early warning signal are sent to a user or a maintenance person, so that the user and/or the maintenance person can be helped to perform accurate and timely treatment. In other embodiments, as shown in fig. 2, step S14 may further include steps S141 to S142, specifically:
in step S141, the first processor may input the second processed data into the neural network for fourth processing, so as to obtain fourth processed data. The neural network is a model obtained through historical data training and specially used for diagnosing and positioning faults of the hydraulic pump.
In step S142, the first processor may match the fourth processed data with the fault model to determine the fault type of the hydraulic pump. Therefore, the fault type of the hydraulic pump can be timely and accurately analyzed and confirmed, and therefore, the user and/or maintenance personnel can be helped to perform accurate and timely treatment.
In some embodiments, as shown in figure 2,
the hydraulic pump condition monitoring and analyzing method may further include:
and S15, judging that the working state is normal and abnormal, and sending out an early warning signal by the first processor.
In this embodiment, as shown in fig. 2, the hydraulic pump condition monitoring and analyzing method may further include step S15. When the first processor judges that the working state of the hydraulic pump is general abnormity, the first processor can send out an early warning signal to remind a user that the working state of the hydraulic pump is general abnormity, so that the user can make remedial measures. Furthermore, when the hydraulic pump is in a non-working state, maintenance personnel can be reminded to overhaul the hydraulic pump.
In some embodiments, as shown in figure 2,
the hydraulic pump condition monitoring and analyzing method may further include:
step S161, based on the working status, determining that the data is a general anomaly, and performing a fifth process on the working data and/or the first processed data by the second processor to obtain fifth processed data;
and step S162, analyzing and determining the fault type of the hydraulic pump by the second processor based on the fifth processing data.
In the present embodiment, as shown in fig. 2, the method for monitoring and analyzing the state of the hydraulic pump may further include steps S161 to S162. The second processor may be located at a location remote from where the hydraulic pump operates (e.g., at a service center for the hydraulic pump). The first processor and the second processor are separate and independent. The second processor may be in signal communication with the first processor. The signal communication here can be wireless signal communication or detachable wired signal communication. The second processor may also be in no direct signal communication with the first processor, and the second processor may retrieve the data to be processed via other removable storage media. In step S161, the first processor may transmit the obtained working data and/or first processed data to the second processor. The second processor may have more computing power than the first processor. This allows for failure analysis and determination of the general abnormal state of the hydraulic pump as well. To reduce the cost of the second processor, the second processor may be larger in volume and larger in weight than the first processor. When the first processor judges that the working state of the hydraulic pump is generally abnormal, the second processor can perform fifth processing on the working data and/or the first processing data to finally obtain fifth processing data. The fifth process here may include one or a combination of a plurality of the processing methods included in the first process and the processing methods included in the second process. The specific data processing procedure is similar to the previous data processing procedure and will not be described in detail here. Because the data volume of the hydraulic pump is far larger than that of the hydraulic pump under serious abnormity, serious faults affecting the normal work of the hydraulic pump can be fed back in time by analyzing and judging the serious abnormity with small data volume when the hydraulic pump works; by downloading the general abnormal state with large data volume to the second processor for analysis and judgment, all faults influencing the normal work of the hydraulic pump can be comprehensively analyzed and determined.
In step S162, the second processor may input the fifth processed data into the neural network for seventh processing, so as to obtain seventh processed data. The neural network is obtained through historical data training and is specially used for a hydraulic pump fault diagnosis positioning model; the second processor may then match the seventh processed data to a fault model to determine a type of fault of the hydraulic pump. Therefore, the fault type of the hydraulic pump can be timely and accurately analyzed and confirmed, and therefore, the user and/or maintenance personnel can be helped to perform accurate and timely treatment.
In some embodiments, as shown in figure 2,
the hydraulic pump condition monitoring and analyzing method may further include:
step S171, based on the working state, judging whether the working data is normal or abnormal, and the second processor performs sixth processing on the working data and/or the first processing data to obtain sixth processing data;
in step S172, the second processor analyzes and determines the remaining life of the hydraulic pump based on the sixth processed data.
In this embodiment, as shown in fig. 2, in step S171, after the first processor determines that the working state of the hydraulic pump is generally abnormal or normal, the second processor may perform sixth processing on the working data and/or the first processed data, and finally obtain sixth processed data. The sixth process may include a processing method of performing failure degradation tendency feature extraction on the working data and/or the first processed data. The sixth process data may include fault degradation trend characteristics of various acquisition parameters. In step S172, the second processor may input the sixth processing data into the deep neural network, so as to estimate the remaining life of the hydraulic pump. Therefore, the preparation of spare parts of the hydraulic pump by a manager and the formulation and arrangement of later-period maintenance plans can be facilitated.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples of the present disclosure and that various changes in form and details may be made therein without departing from the spirit and scope of the present disclosure in practice.
Claims (10)
1. A method for monitoring and analyzing the state of a hydraulic pump is characterized in that,
the hydraulic pump state monitoring and analyzing method comprises the following steps:
s11, collecting working data of the hydraulic pump and storing the working data; wherein the working data comprises the temperature data of the oil return port of the hydraulic pump;
s12, a first processor performs first processing on the working data to obtain first processing data; the first processing data comprises processed oil return opening temperature data; judging that the working state of the hydraulic pump is seriously abnormal based on the fact that the processed oil return port temperature data is greater than a first oil return port temperature threshold; judging that the working state of the hydraulic pump is a general abnormity on the basis that the processed oil return port temperature data is greater than a second oil return port temperature threshold and less than or equal to the first oil return port temperature threshold; judging that the working state of the hydraulic pump is normal based on the processed oil return port temperature data being less than or equal to the second oil return port temperature threshold;
step S13, based on the working state, judging that the serious abnormity is achieved, and performing second processing on the working data and/or the first processing data by the first processor to obtain second processing data;
and S14, analyzing and determining the fault type of the hydraulic pump by the first processor based on the second processing data, and sending out an early warning signal and fault type information.
2. The method of claim 1 wherein the status of the hydraulic pump is monitored and analyzed,
the hydraulic pump state monitoring and analyzing method further comprises the following steps:
and S15, judging that the general abnormality is caused based on the working state, and sending out an early warning signal by the first processor.
3. The hydraulic pump condition monitoring and analyzing method according to claim 1 or 2,
the working data further comprises oil return port pressure data; the hydraulic pump state monitoring and analyzing method further comprises the following steps:
step S121, based on that the processed oil return opening temperature data is less than or equal to the first oil return opening temperature threshold, the first processor performs first processing on the oil return opening pressure data to obtain first processed data, wherein the first processed data includes the processed oil return opening pressure data; judging that the working state of the hydraulic pump is the serious abnormity based on the fact that the processed oil return port pressure data is larger than a first oil return port pressure threshold; judging that the working state of the hydraulic pump is the general abnormity based on the processed oil return port pressure data being less than or equal to the first oil return port pressure threshold and greater than a second oil return port pressure threshold; and judging that the working state of the hydraulic pump is normal based on the processed oil return port pressure data being less than or equal to the second oil return port pressure threshold.
4. A hydraulic pump condition monitoring and analysis method according to claim 3,
the operational data further includes outlet pressure data; the hydraulic pump state monitoring and analyzing method further comprises the following steps:
step S122, based on that the processed oil return pressure is less than or equal to the first oil return pressure threshold, the first processor performs first processing on the outlet pressure data to obtain first processed data, where the first processed data includes processed outlet pressure data; judging that the working state of the hydraulic pump is the serious abnormity based on the processed outlet pressure data being smaller than a first outlet pressure threshold value; judging that the working state of the hydraulic pump is the general abnormality based on the processed outlet pressure data being greater than or equal to the first outlet pressure threshold and smaller than a second outlet pressure threshold; and judging that the working state of the hydraulic pump is normal based on the fact that the processed outlet pressure data is larger than the second outlet pressure threshold value.
5. The method of claim 4 wherein the status of the hydraulic pump is monitored and analyzed,
the operational data further includes vibration data; the hydraulic pump state monitoring and analyzing method further comprises the following steps:
step S123, based on that the processed outlet pressure data is greater than or equal to the first outlet pressure threshold, the first processor performs first processing on the vibration data to obtain first processed data, where the first processed data includes first processed vibration data; judging that the working state of the hydraulic pump is seriously abnormal based on the fact that the first processed vibration data is larger than a first vibration threshold; judging that the working state of the hydraulic pump is general abnormal based on the fact that the first processed vibration data is smaller than or equal to the first vibration threshold and larger than a second vibration threshold; and judging that the working state of the hydraulic pump is normal based on the fact that the first processed vibration data is smaller than or equal to the second vibration threshold.
6. The method of claim 5 wherein the status of the hydraulic pump is monitored and analyzed,
the operating data further comprises outlet temperature data; the hydraulic pump state monitoring and analyzing method further comprises the following steps:
step S124, based on that the first processed vibration data is less than or equal to the first vibration threshold, the first processor performs first processing on the outlet temperature data to obtain first processed data, where the first processed data includes processed outlet temperature data; judging that the working state of the hydraulic pump is seriously abnormal based on the fact that the processed outlet temperature data is greater than a first outlet temperature threshold; judging that the working state of the hydraulic pump is general abnormity based on the processed outlet temperature data being less than or equal to the first outlet temperature threshold and greater than a second outlet temperature threshold; and judging that the working state of the hydraulic pump is normal based on the processed outlet temperature data being less than or equal to the second outlet temperature threshold.
7. The method for monitoring and analyzing the state of the hydraulic pump according to any one of claims 5 to 6, it is characterized in that the preparation method is characterized in that,
the step S13 further includes:
step S131, the first processor performs third processing on the vibration data and/or the first processed vibration data to obtain third processed vibration data;
step S132, combining the third processed vibration data and the first processed data to form feature vector data;
step S133, screening the feature vector data to obtain screened data;
and S134, performing dimensionality reduction on the screened data to obtain second processed data.
8. The method of claim 7 wherein the status of the hydraulic pump is monitored and analyzed,
the step S14 further includes:
step S141, the first processor inputs the second processed data into a neural network for fourth processing to obtain fourth processed data;
and step S142, the first processor matches the fourth processing data with a fault model, and determines the fault type of the hydraulic pump.
9. The hydraulic pump condition monitoring and analyzing method according to claim 1 or 2,
the hydraulic pump state monitoring and analyzing method further comprises the following steps:
step S161, based on the working status, determining that the general exception is detected, performing, by the second processor, fifth processing on the working data and/or the first processed data to obtain fifth processed data;
and step S162, analyzing and determining the fault type of the hydraulic pump by the second processor based on fifth processing data.
10. Method for monitoring and analyzing the condition of a hydraulic pump according to claim 1 or 2,
the hydraulic pump state monitoring and analyzing method further comprises the following steps:
step S171, based on the working status, determining that the general anomaly or the normal is present, and performing, by the second processor, sixth processing on the working data and/or the first processed data to obtain sixth processed data;
step S172, based on the sixth processed data, the second processor analyzes and determines the remaining life of the hydraulic pump.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117145752A (en) * | 2023-10-26 | 2023-12-01 | 意朗智能科技(南通)有限公司 | Filtering fault identification method and system for air compressor |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5983811A (en) * | 1982-11-02 | 1984-05-15 | Hitachi Constr Mach Co Ltd | Fault diagnostic device of hydraulic apparatus |
| JP2009197609A (en) * | 2008-02-19 | 2009-09-03 | Hitachi Constr Mach Co Ltd | Monitoring device of construction machine |
| CN103174472A (en) * | 2011-12-20 | 2013-06-26 | 中国航空工业集团公司金城南京机电液压工程研究中心 | Turbine cooler adopting indirect bearing cooling method |
| CN104819144A (en) * | 2015-05-06 | 2015-08-05 | 中国石油天然气集团公司 | Method and device for detecting hydraulic pump fault in hydraulic system |
| CN104929921A (en) * | 2015-05-12 | 2015-09-23 | 北京航空航天大学 | Method for diagnosing faults of aviation hydraulic pump based on distribution type control body volume temperature rising model |
| CN111963415A (en) * | 2020-07-15 | 2020-11-20 | 国营芜湖机械厂 | Fault diagnosis method and system for hydraulic plunger pump |
-
2022
- 2022-10-28 CN CN202211330647.1A patent/CN115596656B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5983811A (en) * | 1982-11-02 | 1984-05-15 | Hitachi Constr Mach Co Ltd | Fault diagnostic device of hydraulic apparatus |
| JP2009197609A (en) * | 2008-02-19 | 2009-09-03 | Hitachi Constr Mach Co Ltd | Monitoring device of construction machine |
| CN103174472A (en) * | 2011-12-20 | 2013-06-26 | 中国航空工业集团公司金城南京机电液压工程研究中心 | Turbine cooler adopting indirect bearing cooling method |
| CN104819144A (en) * | 2015-05-06 | 2015-08-05 | 中国石油天然气集团公司 | Method and device for detecting hydraulic pump fault in hydraulic system |
| CN104929921A (en) * | 2015-05-12 | 2015-09-23 | 北京航空航天大学 | Method for diagnosing faults of aviation hydraulic pump based on distribution type control body volume temperature rising model |
| CN111963415A (en) * | 2020-07-15 | 2020-11-20 | 国营芜湖机械厂 | Fault diagnosis method and system for hydraulic plunger pump |
Non-Patent Citations (1)
| Title |
|---|
| 何金焕;: "基于概率神经网络的液压泵故障诊断", 农家参谋, no. 15, pages 49 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117145752A (en) * | 2023-10-26 | 2023-12-01 | 意朗智能科技(南通)有限公司 | Filtering fault identification method and system for air compressor |
| CN117145752B (en) * | 2023-10-26 | 2024-01-30 | 意朗智能科技(南通)有限公司 | Filtering fault identification method and system for air compressor |
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|---|---|
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