CN110044624A - A kind of box bearing fault detection method and system - Google Patents
A kind of box bearing fault detection method and system Download PDFInfo
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- CN110044624A CN110044624A CN201910331977.4A CN201910331977A CN110044624A CN 110044624 A CN110044624 A CN 110044624A CN 201910331977 A CN201910331977 A CN 201910331977A CN 110044624 A CN110044624 A CN 110044624A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/04—Bearings
- G01M13/045—Acoustic or vibration analysis
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Abstract
The present invention provides a kind of box bearing fault detection method and systems, this method comprises: establishing Fault Model according to the data parameters of gear-box when receiving fault detection instruction；The real-time running data for obtaining bearing to be measured in preset time gear box, is input to Fault Model and is emulated；Drafting indicatrix is respectively corresponded for temperature parameter, vibration parameters and/or torque parameter according to simulation result；Whether judging characteristic curve meets preset operating conditions；When determining indicatrix and meeting preset operating conditions, determine that the fault detection of bearing to be measured is qualified；When determining indicatrix and not meeting preset operating conditions, obtains fault parameter and simultaneously alarm for fault parameter.The present invention is realized for bearing to be measured effective online fault detection in real time, is improved the real-time and convenience for box bearing data monitoring, is made it possible to timely and effectively carry out the identification of bearing fault, improve the maintenance efficiency of consequent malfunction bearing.
Description
Technical field
The present invention relates to box bearing technical fields, in particular to a kind of box bearing fault detection method
And system.
Background technique
It with the fast development of bullet train, haves laid a good foundation for high-speed rail construction, while also to vehicle with inspection
The department of repairing proposes new requirement.Gear housing ensures its safe military service performance as the critical component in high-speed rail Transport Machinery, prevents
It is only of serious failure, it is very necessary.Bearing can usually cause gear-box disaster as part mostly important in gear-box, failure
Property destruction, therefore, for bullet train be on active service operation middle gear axle box bearing fault detection be just particularly important.
It is at present mainly the mode of " micro-judgment+manual intervention ", i.e. business people for the fault detection of box bearing
Member rule of thumb provides the business rule of unit failure, and service personnel checks the out of order component of report, overhauls.On however
Stating maintenance mode cannot achieve real-time effective on-line checking to box bearing, can not timely and effective identification bearing fault,
There are hysteresis qualitys for maintenance, result in the increase of operation cost.
Summary of the invention
Based on this, the purpose of the embodiment of the present invention is to solve in the prior art, to have bearing in real time due to cannot achieve
Caused by the on-line checking of effect can not timely and effective identification bearing fault the problem of.
In a first aspect, the present invention provides a kind of box bearing fault detection methods, which comprises
When receiving fault detection instruction, the data parameters of bullet train upper gear box are obtained, and according to the data
Parameter establishes Fault Model；
The real-time running data of bearing to be measured in the gear-box is obtained in preset time, the real-time running data is defeated
Enter to the Fault Model and emulated, and exports simulation result；
It is respectively corresponded according to the simulation result for temperature parameter, vibration parameters and/or torque parameter and draws feature song
Line；
Judge whether the indicatrix meets preset operating conditions；
When determining the indicatrix and meeting the preset operating conditions, the fault detection of the bearing to be measured is determined
It is qualified；
When determining the indicatrix and not meeting the preset operating conditions, obtain fault parameter simultaneously for described therefore
Barrier parameter is alarmed.
Further, described that temperature parameter, vibration are directed to according to the simulation result in preferred embodiments of the present invention
Parameter and/or torque parameter respectively correspond draw indicatrix the step of include:
The vibration dynamic data, temperature dynamic data and torque for obtaining bearing to be measured described in the simulation result respectively are dynamic
State data；
Vibration spy is drawn according to the vibration dynamic data, the temperature dynamic data and the torque dynamic data are corresponding
Levy curve, temperature profile curve and torque characteristic curve.
Further, described to judge whether the indicatrix meets default operation in preferred embodiments of the present invention
The step of condition includes:
Judge whether the maximum vibration value in the vibration performance curve is greater than vibration threshold；
When determining the maximum vibration value greater than the vibration threshold, it is described pre- to determine that the indicatrix does not meet
If service condition；
When determining the maximum vibration value and not being greater than the vibration threshold, judge in the temperature profile curve most
Whether big temperature value is greater than temperature threshold；
When determining the maximum temperature values greater than the temperature threshold, it is described pre- to determine that the indicatrix does not meet
If service condition；
When determining the maximum temperature values and not being greater than the temperature threshold, judge in the torque characteristic curve most
Whether small torque value is greater than torque threshold；
When determining the minimal torque value greater than the torque threshold, it is described default to determine that the indicatrix meets
Service condition；
When determining the minimal torque value and not being greater than the torque threshold, it is described to determine that the indicatrix does not meet
Preset operating conditions.
Further, described that temperature parameter, vibration are directed to according to the simulation result in preferred embodiments of the present invention
Parameter and/or torque parameter respectively correspond the step of drawing indicatrix further include:
Obtain the conversion frequency of vibration parameters in the vibration performance curve；
Revolving speed according to the conversion frequency for the bearing to be measured draws spectrum signature curve.
Further, described to judge whether the indicatrix meets default operation in preferred embodiments of the present invention
The step of condition includes:
The characteristic value of spectrum amplitude in the spectrum signature curve is calculated, the characteristic value is average value, intermediate value, maximum value
Or minimum value；
The dimensional parameters of the bearing to be measured are obtained, and according to the sizecalculation wear threshold；
The abrasion difference between the characteristic value and the wear threshold is calculated, and judges whether the abrasion difference is greater than
Difference threshold；
If so, determining that the indicatrix does not meet the service condition.
Further, in preferred embodiments of the present invention, the acquisition fault parameter and for the fault parameter into
The step of row alarm are as follows:
When determining the vibration performance curve and not meeting the preset operating conditions, the vibration parameters are labeled as
The fault parameter, and corresponding display vibration alarming indicator light；
When determining the temperature profile curve and not meeting the preset operating conditions, the temperature parameter is labeled as
The fault parameter, and corresponding displays temperature alarm lamp；
When determining the torque characteristic curve and not meeting the preset operating conditions, the torque parameter is labeled as
The fault parameter, and corresponding display torque alarm lamp；
When determining the spectrum signature curve and not meeting the preset operating conditions, by wear coefficient labeled as described
Fault parameter, and corresponding display abrasion alarm lamp.
Further, in preferred embodiments of the present invention, axis to be measured in the gear-box in the acquisition preset time
After the step of real-time running data held, the method also includes:
The parameter information stored in the real-time running data is obtained, and the temperature is directed to according to the parameter information
Degree parameter, the vibration parameters and/or the torque parameter carry out real time value and show.
Said gear axle box bearing fault detection method, it is described by the way that the real-time running data of the bearing to be measured to be input to
Fault Model is emulated, and draws indicatrix according to simulation result, whether judging characteristic curve meets default operation item
Part with automatic output test result, and then realizes for bearing to be measured effective online fault detection in real time, improves and be directed to
The real-time and convenience of box bearing data monitoring make it possible to timely and effectively carry out the identification of bearing fault, improve
The maintenance efficiency of consequent malfunction bearing, it is therefore prevented that the increase of the operation cost caused by being lagged maintenance.
Second aspect, the present invention provides a kind of box bearing fault detection systems, comprising:
Model building module, for when receiving fault detection instruction, obtaining the data ginseng of bullet train upper gear box
Number, and Fault Model is established according to the data parameters；
Data simulation module will for obtaining in preset time the real-time running data of bearing to be measured in the gear-box
The real-time running data is input to the Fault Model and is emulated, and exports simulation result；
Indicatrix drafting module, for being joined according to the simulation result for temperature parameter, vibration parameters and/or torque
Number respectively corresponds drafting indicatrix；
Breakdown judge module, for judging whether the indicatrix meets preset operating conditions；When determining the spy
When sign curve meets the preset operating conditions, determine that the fault detection of the bearing to be measured is qualified；When determining the feature
When curve does not meet the preset operating conditions, obtains fault parameter and alarm for the fault parameter.
Further, in preferred embodiments of the present invention, the indicatrix drafting module is also used to:
The vibration dynamic data, temperature dynamic data and torque for obtaining bearing to be measured described in the simulation result respectively are dynamic
State data；
Vibration spy is drawn according to the vibration dynamic data, the temperature dynamic data and the torque dynamic data are corresponding
Levy curve, temperature profile curve and torque characteristic curve.
Further, in preferred embodiments of the present invention, the breakdown judge module is also used to:
Judge whether the maximum vibration value in the vibration performance curve is greater than vibration threshold；
When determining the maximum vibration value greater than the vibration threshold, it is described pre- to determine that the indicatrix does not meet
If service condition；
When determining the maximum vibration value and not being greater than the vibration threshold, judge in the temperature profile curve most
Whether big temperature value is greater than temperature threshold；
When determining the maximum temperature values greater than the temperature threshold, it is described pre- to determine that the indicatrix does not meet
If service condition；
When determining the maximum temperature values and not being greater than the temperature threshold, judge in the torque characteristic curve most
Whether small torque value is greater than torque threshold；
When determining the minimal torque value greater than the torque threshold, it is described default to determine that the indicatrix meets
Service condition；
When determining the minimal torque value and not being greater than the torque threshold, it is described to determine that the indicatrix does not meet
Preset operating conditions.
Said gear axle box bearing fault detection system, it is described by the way that the real-time running data of the bearing to be measured to be input to
Fault Model is emulated, and draws indicatrix according to simulation result, whether judging characteristic curve meets default operation item
Part with automatic output test result, and then realizes for bearing to be measured effective online fault detection in real time, improves and be directed to
The real-time and convenience of box bearing data monitoring make it possible to timely and effectively carry out the identification of bearing fault, improve
The maintenance efficiency of consequent malfunction bearing, it is therefore prevented that the increase of the operation cost caused by being lagged maintenance.
Detailed description of the invention
It, below will be to use required in embodiment in order to illustrate more clearly of the technical solution of embodiment of the present invention
Attached drawing be briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not to be seen as
It is the restriction to range, it for those of ordinary skill in the art, without creative efforts, can be with root
Other relevant attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow chart for the box bearing fault detection method that first embodiment of the invention provides；
Fig. 2 is the flow chart for the box bearing fault detection method that second embodiment of the invention provides；
Fig. 3 is the structural schematic diagram for the box bearing fault detection system that third embodiment of the invention provides:
| Box bearing fault detection system | 100 | Model building module | 10 |
| Data simulation module | 11 | Indicatrix drafting module | 12 |
| Breakdown judge module | 13 |
Specific embodiment
For the ease of more fully understanding the present invention, the present invention is carried out further below in conjunction with related embodiment attached drawing
It explains.The embodiment of the present invention is given in attached drawing, but the present invention is not limited in above-mentioned preferred embodiment.On the contrary, providing
The purpose of these embodiments be in order to make disclosure of the invention face more sufficiently.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (such as computer based system, including the system of processor or other can be held from instruction
The instruction fetch of row system, device or equipment and the system executed instruction) it uses, or combine these instruction execution systems, device or set
It is standby and use.For the purpose of this specification, " computer-readable medium ", which can be, any may include, stores, communicates, propagates or pass
Defeated program is for instruction execution system, device or equipment or the dress used in conjunction with these instruction execution systems, device or equipment
It sets.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
Referring to Fig. 1, the flow chart of the box bearing fault detection method provided for first embodiment of the invention, including
Following steps:
Step S10, when receiving fault detection instruction, the data parameters of acquisition bullet train upper gear box, and according to
The data parameters establish Fault Model；
Wherein, the fault detection instruction is carried out by the way of wireless signal, electric signal, voice signal or push button signalling
Transmission, it is preferred that in the present embodiment, after the gear-box is in running order, according to prefixed time interval it is automatic continuous into
The transmission of the row fault detection instruction, the prefixed time interval can independently carry out time setting, this reality according to user demand
It applies in example, which is 24 hours, i.e., all carries out the transmission of the primary fault detection instruction, the failure daily
Detection instruction is used to trigger the failure detection steps carried out for bearing to be measured, is stored with target volume in the fault detection instruction
Number, the target designation effectively raises the tooth for being directed toward preset target bearing to be measured in current gear case
The detection precision of roller box Bearing Fault Detection Method；
In addition, in the step, by the way that the data parameters are delivered in preset model, to establish the fault detection mould
Type, the preset model are train runing parameters sample, gearbox temperature parameter sample and fault detection based on gear-box sample
As a result obtained after sample is trained, wherein after the data parameters are delivered to the preset model, by model into
Row Data correction, to obtain the Fault Model, which is used to join the model in the Fault Model
Number carries out parameter adjustment, so that corresponding with the data parameters；
Step S20 obtains in preset time the real-time running data of bearing to be measured in the gear-box, by the real-time fortune
Row data are input to the Fault Model and are emulated, and export simulation result；
Wherein, the preset time can be independently configured according to user demand, and the real-time running data can lead to
The mode based on multiple sensors is crossed to be obtained；
Step S30 is respectively corresponded for temperature parameter, vibration parameters and/or torque parameter according to the simulation result and is drawn
Indicatrix processed；
Wherein, this feature curve includes vibration performance curve, temperature profile curve and torque characteristic curve, the vibration performance
Curve is used to intuitively show the transformation of the vibration parameters value of bearing to be measured in the preset time at any time, and the temperature profile is bent
Line is used to intuitively show the transformation of the temperature parameter value of bearing to be measured in the preset time at any time, the torque characteristic curve
For intuitively showing the transformation of the torque parameter value of bearing to be measured in the preset time at any time, it is preferred that in the step
Drawing for indicatrix can also be carried out for wear coefficient, acceleration parameter, rotary speed parameter etc. are corresponding according to the simulation result
System；
Step S40, judges whether the indicatrix meets preset operating conditions；
Wherein, the conditional parameter in the preset operating conditions can be configured according to user demand, the conditional parameter
Whether can be greater than preset threshold for the maximum value in judging characteristic curve, whether minimum value therein is less than preset threshold, institute
Preset operating conditions are stated for judging the corresponding operating parameter of the indicatrix with the presence or absence of abnormal, when determining the feature
The corresponding operating parameter of curve is deposited when abnormal, determines that there are failures for the bearing to be measured；
When step S40, which determines the indicatrix, meets the preset operating conditions, step S50 is executed；
Step S50 determines that the fault detection of the bearing to be measured is qualified；
Wherein, when determining to arrive the fault detection qualification of the bearing to be measured, determine each operation of the bearing to be measured
Parameter is in normal condition, without being replaced or being repaired to it；
When step S40, which determines the indicatrix, does not meet the preset operating conditions, step S60 is executed；
Step S60 obtains fault parameter and alarms for the fault parameter；
Wherein, mode used by being alarmed for the fault parameter is that audio alert, sound-light alarm or signal mention
Show alarm, timely and effectively to carry out warning note to driver, to facilitate the subsequent maintenance conditions for fault parameter；
In the present embodiment, carried out by the way that the real-time running data of the bearing to be measured is input to the Fault Model
Emulation draws indicatrix according to simulation result, and whether judging characteristic curve meets preset operating conditions, with automatic output detection
As a result, being realized in turn for bearing to be measured effective online fault detection in real time, improves and supervised for box bearing data
The real-time and convenience of control make it possible to timely and effectively carry out the identification of bearing fault, improve the dimension of consequent malfunction bearing
Repair efficiency, it is therefore prevented that the increase of the operation cost caused by lagging maintenance.
Referring to Fig. 2, the flow chart of the box bearing fault detection method provided for second embodiment of the invention, described
Method the following steps are included:
Step S11, when receiving fault detection instruction, the data parameters of acquisition bullet train upper gear box, and according to
The data parameters establish Fault Model；
Wherein, the fault detection instruction is carried out by the way of wireless signal, electric signal, voice signal or push button signalling
Transmission, it is preferred that in the present embodiment, after the gear-box is in running order, according to prefixed time interval it is automatic continuous into
The transmission of the row fault detection instruction, the prefixed time interval can independently carry out time setting, this reality according to user demand
It applies in example, which is 24 hours, i.e., all carries out the transmission of the primary fault detection instruction, the failure daily
Detection instruction is used to trigger the failure detection steps carried out for bearing to be measured, is stored with target volume in the fault detection instruction
Number, the target designation effectively raises the tooth for being directed toward preset target bearing to be measured in current gear case
The detection precision of roller box Bearing Fault Detection Method；
In addition, in the step, by the way that the data parameters are delivered in preset model, to establish the fault detection mould
Type, the preset model are train runing parameters sample, gearbox temperature parameter sample and fault detection based on gear-box sample
As a result obtained after sample is trained, wherein after the data parameters are delivered to the preset model, by model into
Row Data correction, to obtain the Fault Model, which is used to join the model in the Fault Model
Number carries out parameter adjustment, so that corresponding with the data parameters；
Step S21 obtains in preset time the real-time running data of bearing to be measured in the gear-box, obtain it is described in real time
The parameter information stored in operation data, and the temperature parameter, the vibration parameters are directed to according to the parameter information
And/or the torque parameter carries out real time value and shows；
Wherein, by being directed to the temperature parameter, the vibration parameters and/or the torque according to the parameter information
Parameter carries out the design that real time value is shown, effectively facilitates real-time observation of the driver to each operating parameter, improves
The information acquisition efficiency of driver；
The real-time running data is input to the Fault Model and emulated by step S31, output emulation knot
Fruit obtains vibration dynamic data, temperature dynamic data and the torque dynamic number of bearing to be measured described in the simulation result respectively
According to；
Step S41 is drawn according to the vibration dynamic data, the temperature dynamic data and the torque dynamic data correspondence
Damping moves indicatrix, temperature profile curve and torque characteristic curve；
The temperature profile curve is used to intuitively show the temperature parameter value of bearing to be measured in the preset time at any time
Transformation, which is used to intuitively show the torque parameter value of bearing to be measured in the preset time at any time
Transformation, it is preferred that can also be according to the simulation result for wear coefficient, acceleration parameter, rotary speed parameter etc. in the step
The corresponding drafting for carrying out indicatrix；
Step S51 obtains the conversion frequency of vibration parameters in the vibration performance curve, is directed to according to the conversion frequency
The revolving speed of the bearing to be measured draws spectrum signature curve；
Wherein, the present embodiment is by being converted into frequency for the vibration signal in the vibration performance curve using Fourier transform
Rate signal is directed to institute to obtain the conversion frequency, and according to the conversion frequency and the transformation relation between the time to establish
State the spectrum signature curve of bearing revolving speed to be measured；
Step S61, judges whether the indicatrix meets preset operating conditions；
Specifically, in the step, it is described to judge that the step of whether indicatrix meets preset operating conditions includes:
Judge whether the maximum vibration value in the vibration performance curve is greater than vibration threshold；
When determining the maximum vibration value greater than the vibration threshold, it is described pre- to determine that the indicatrix does not meet
If service condition；
When determining the maximum vibration value and not being greater than the vibration threshold, judge in the temperature profile curve most
Whether big temperature value is greater than temperature threshold；
When determining the maximum temperature values greater than the temperature threshold, it is described pre- to determine that the indicatrix does not meet
If service condition；
When determining the maximum temperature values and not being greater than the temperature threshold, judge in the torque characteristic curve most
Whether small torque value is greater than torque threshold；
When determining the minimal torque value greater than the torque threshold, it is described default to determine that the indicatrix meets
Service condition；
When determining the minimal torque value and not being greater than the torque threshold, it is described to determine that the indicatrix does not meet
Preset operating conditions；
Preferably, in the step, for the spectrum signature curve, described to judge whether the indicatrix meets default
The step of service condition further include:
The characteristic value of spectrum amplitude in the spectrum signature curve is calculated, the characteristic value is average value, intermediate value, maximum value
Or minimum value；
The dimensional parameters of the bearing to be measured are obtained, and according to the sizecalculation wear threshold；
The abrasion difference between the characteristic value and the wear threshold is calculated, and judges whether the abrasion difference is greater than
Difference threshold；
If so, determining that the indicatrix does not meet the service condition；
Wherein, as bearing, the theoretic frequency Ftheo for being damaged roller passes through the lower formula of application and calculates:
Ftheo=(D/ (2d)) (N2-N1) (1- (d/D) 2)
In above-mentioned formula, D is the nominal diameter of bearing, and d is the diameter of roller, and N1 and N2 are the revolving speed of two axis respectively；
When step S61, which determines the indicatrix, meets the preset operating conditions, step S71 is executed；
Step S71 determines that the fault detection of the bearing to be measured is qualified；
Wherein, when determining to arrive the fault detection qualification of the bearing to be measured, determine each operation of the bearing to be measured
Parameter is in normal condition, without being replaced or being repaired to it；
When step S61, which determines the indicatrix, does not meet the preset operating conditions, step S81 is executed；
Step S81 obtains fault parameter and alarms for the fault parameter；
Wherein, mode used by being alarmed for the fault parameter is that audio alert, sound-light alarm or signal mention
Show alarm, timely and effectively to carry out warning note to driver, to facilitate the subsequent maintenance conditions for fault parameter；
Specifically, the acquisition fault parameter is simultaneously directed to the step of fault parameter is alarmed in the step are as follows:
When determining the vibration performance curve and not meeting the preset operating conditions, the vibration parameters are labeled as
The fault parameter, and corresponding display vibration alarming indicator light；
When determining the temperature profile curve and not meeting the preset operating conditions, the temperature parameter is labeled as
The fault parameter, and corresponding displays temperature alarm lamp；
When determining the torque characteristic curve and not meeting the preset operating conditions, the torque parameter is labeled as
The fault parameter, and corresponding display torque alarm lamp；
When determining the spectrum signature curve and not meeting the preset operating conditions, by wear coefficient labeled as described
Fault parameter, and corresponding display abrasion alarm lamp；
In the present embodiment, carried out by the way that the real-time running data of the bearing to be measured is input to the Fault Model
Emulation draws indicatrix according to simulation result, and whether judging characteristic curve meets preset operating conditions, with automatic output detection
As a result, being realized in turn for bearing to be measured effective online fault detection in real time, improves and supervised for box bearing data
The real-time and convenience of control make it possible to timely and effectively carry out the identification of bearing fault, improve the dimension of consequent malfunction bearing
Repair efficiency, it is therefore prevented that the increase of the operation cost caused by lagging maintenance.
Referring to Fig. 3, the structural representation of the box bearing fault detection system 100 provided for third embodiment of the invention
Figure, comprising:
Model building module 10, for obtaining the data of bullet train upper gear box when receiving fault detection instruction
Parameter, and Fault Model is established according to the data parameters, wherein the fault detection instruction uses wireless signal, electricity
The mode of signal, voice signal or push button signalling is transmitted, it is preferred that in the present embodiment, when the gear-box is in work
After state, according to the automatic continuous transmission for carrying out the fault detection instruction of prefixed time interval, which can be with
Time setting is independently carried out according to user demand, and in the present embodiment, which is 24 hours, i.e., all carries out one daily
The transmission of the secondary fault detection instruction, the fault detection instruction walk for the fault detection of bearing to be measured for triggering
Suddenly, it is stored with target designation in the fault detection instruction, the target designation is for being directed toward preset mesh in current gear case
Bearing to be measured is marked, and then effectively raises the detection precision of the box bearing fault detection method.
In addition, in the model building module 10, by the way that the data parameters are delivered in preset model, to establish
Fault Model is stated, which is train runing parameters sample, gearbox temperature parameter sample based on gear-box sample
What this was obtained after being trained with failure detection result sample, wherein after the data parameters are delivered to the preset model,
By carrying out Data correction to model, to obtain the Fault Model, which is used for the fault detection mould
Model parameter in type carries out parameter adjustment, so that corresponding with the data parameters.
Data simulation module 11, for obtaining in preset time the real-time running data of bearing to be measured in the gear-box,
The real-time running data is input to the Fault Model to emulate, and exports simulation result, wherein is described default
Time can independently be configured according to user demand, and the real-time running data can be by way of based on multiple sensors
It is obtained.
Specifically, the data simulation module 11 is also used to: being obtained and is stored in the real-time running data in the present embodiment
Parameter information, and joined according to the parameter information for the temperature parameter, the vibration parameters and/or the torque
Number carries out real time value and shows.
Indicatrix drafting module 12, for being directed to temperature parameter, vibration parameters and/or torque according to the simulation result
Parameter respectively corresponds drafting indicatrix, wherein this feature curve includes that vibration performance curve, temperature profile curve and torque are special
Levy curve, which is used to intuitively show the vibration parameters value of bearing to be measured in the preset time at any time
Transformation, the temperature profile curve are used to intuitively show the change of the temperature parameter value of bearing to be measured in the preset time at any time
It changes, which is used to intuitively show the change of the torque parameter value of bearing to be measured in the preset time at any time
It changes, it is preferred that can also be according to the simulation result for wear coefficient, acceleration parameter, rotary speed parameter etc. pair in the module
It should carry out the drafting of indicatrix.
Further, in preferred embodiments of the present invention, the indicatrix drafting module 12 is also used to: being obtained respectively
Vibration dynamic data, temperature dynamic data and the torque dynamic data of bearing to be measured described in the simulation result；According to described
Vibrate the corresponding drafting vibration performance curve, temperature profile of dynamic data, the temperature dynamic data and the torque dynamic data
Curve and torque characteristic curve.
In addition, the indicatrix drafting module 12 is also used in the present embodiment: obtaining and shake in the vibration performance curve
The conversion frequency of dynamic parameter；Revolving speed according to the conversion frequency for the bearing to be measured draws spectrum signature curve.
Breakdown judge module 13, for judging whether the indicatrix meets preset operating conditions；It is described when determining
When indicatrix meets the preset operating conditions, determine that the fault detection of the bearing to be measured is qualified；When determining the spy
When sign curve does not meet the preset operating conditions, obtains fault parameter and alarm for the fault parameter, wherein institute
Stating the conditional parameter in preset operating conditions can be configured according to user demand, which can be bent for judging characteristic
Whether the maximum value in line is greater than preset threshold, and whether minimum value therein is less than preset threshold, and the preset operating conditions are used
In judging that it is abnormal that the corresponding operating parameter of the indicatrix whether there is, join when determining the corresponding operation of the indicatrix
Number is deposited when abnormal, determines that there are failures for the bearing to be measured.
Further, the breakdown judge module 13 is also used to: judging the maximum vibration value in the vibration performance curve
Whether vibration threshold is greater than；When determining the maximum vibration value greater than the vibration threshold, the indicatrix is determined not
Meet the preset operating conditions；When determining the maximum vibration value and not being greater than the vibration threshold, the temperature is judged
Whether the maximum temperature values in indicatrix are greater than temperature threshold；It is greater than the temperature threshold when determining the maximum temperature values
When, determine that the indicatrix does not meet the preset operating conditions；The temperature it is not greater than when determining the maximum temperature values
When spending threshold value, judge whether the minimal torque value in the torque characteristic curve is greater than torque threshold；When determining the minimum
When torque value is greater than the torque threshold, determine that the indicatrix meets the preset operating conditions；When determine it is described most
When small torque value is not greater than the torque threshold, determine that the indicatrix does not meet the preset operating conditions.
Further, the breakdown judge module 13 is also used to: calculating spectrum amplitude in the spectrum signature curve
Characteristic value, the characteristic value are average value, intermediate value, maximum value or minimum value；Obtain the dimensional parameters of the bearing to be measured, and root
According to the sizecalculation wear threshold；The abrasion difference between the characteristic value and the wear threshold is calculated, and is judged
Whether the abrasion difference is greater than difference threshold；If so, determining that the indicatrix does not meet the service condition.
Preferably, the breakdown judge module 13 is also used to: when determine the vibration performance curve do not meet it is described pre-
If when service condition, the vibration parameters are labeled as the fault parameter, and corresponding display vibration alarming indicator light；Work as judgement
When not meeting the preset operating conditions to the temperature profile curve, the temperature parameter is labeled as the fault parameter,
And corresponding displays temperature alarm lamp；It, will when determining the torque characteristic curve and not meeting the preset operating conditions
The torque parameter is labeled as the fault parameter, and corresponding display torque alarm lamp；When determining the spectrum signature
When curve does not meet the preset operating conditions, wear coefficient is labeled as the fault parameter, and corresponding display abrasion alarm
Indicator light.
Said gear axle box bearing fault detection system 100, by the way that the real-time running data of the bearing to be measured to be input to
The Fault Model is emulated, and draws indicatrix according to simulation result, whether judging characteristic curve meets default fortune
Row condition with automatic output test result, and then is realized for bearing to be measured effective online fault detection in real time, is improved
For the real-time and convenience of box bearing data monitoring, makes it possible to timely and effectively carry out the identification of bearing fault, mention
The high maintenance efficiency of consequent malfunction bearing, it is therefore prevented that the increase of the operation cost caused by maintenance lag.
The present embodiment additionally provides a kind of mobile terminal, including storage equipment and processor, the storage equipment are used for
Computer program is stored, the processor runs the computer program so that the above-mentioned gearbox shaft of the mobile terminal execution
Hold fault detection method.
The present embodiment additionally provides a kind of storage medium, is stored thereon with computer journey used in above-mentioned mobile terminal
Sequence, the program when being executed, include the following steps:
When receiving fault detection instruction, the data parameters of bullet train upper gear box are obtained, and according to the data
Parameter establishes Fault Model；
The real-time running data of bearing to be measured in the gear-box is obtained in preset time, the real-time running data is defeated
Enter to the Fault Model and emulated, and exports simulation result；
It is respectively corresponded according to the simulation result for temperature parameter, vibration parameters and/or torque parameter and draws feature song
Line；
Judge whether the indicatrix meets preset operating conditions；
When determining the indicatrix and meeting the preset operating conditions, the fault detection of the bearing to be measured is determined
It is qualified；
When determining the indicatrix and not meeting the preset operating conditions, obtain fault parameter simultaneously for described therefore
Barrier parameter is alarmed.The storage medium, such as: ROM/RAM, magnetic disk, CD.
It is apparent to those skilled in the art that for convenience and simplicity of description, only with above-mentioned each function
The division progress of unit, module can according to need and for example, in practical application by above-mentioned function distribution by different function
Energy unit or module are completed, i.e., the internal structure of storage device is divided into different functional unit or module, more than completing
The all or part of function of description.Each functional unit in embodiment, module can integrate in one processing unit,
It can be each unit to physically exist alone, can also be integrated in one unit with two or more units, it is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.In addition, each function list
Member, the specific name of module are also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.
It will be understood by those skilled in the art that composed structure shown in Fig. 3 is not constituted to gearbox shaft of the invention
The restriction for holding fault detection system may include perhaps combining certain components or difference than illustrating more or fewer components
Component layout, and the box bearing fault detection method in Fig. 1-2 also uses more or fewer portions shown in Fig. 3
Part combines certain components or different component layouts perhaps to realize.The so-called unit of the present invention, module etc. refer to one kind
Can performed by the processor (not shown) in the box bearing fault detection system and function enough complete specific function
Series of computation machine program, can be stored in the storage equipment (not shown) of the box bearing fault detection system
It is interior.
Above embodiment described technical principles of the invention, and the description is merely to explain the principles of the invention, and
It cannot be construed to the limitation of the scope of the present invention in any way.Based on the explanation herein, those skilled in the art is not required to
Other specific embodiments of the invention can be associated by paying creative labor, these modes fall within of the invention
In protection scope.
Claims (10)
1. a kind of box bearing fault detection method, which is characterized in that the described method includes:
When receiving fault detection instruction, the data parameters of bullet train upper gear box are obtained, and according to the data parameters
Establish Fault Model；
The real-time running data for obtaining in preset time bearing to be measured in the gear-box, the real-time running data is input to
The Fault Model is emulated, and exports simulation result；
Drafting indicatrix is respectively corresponded for temperature parameter, vibration parameters and/or torque parameter according to the simulation result；
Judge whether the indicatrix meets preset operating conditions；
When determining the indicatrix and meeting the preset operating conditions, determine that the fault detection of the bearing to be measured is closed
Lattice；
When determining the indicatrix and not meeting the preset operating conditions, obtains fault parameter and simultaneously join for the failure
Number is alarmed.
2. box bearing fault detection method according to claim 1, which is characterized in that described to be tied according to the emulation
Gynophore respectively corresponds the step of drawing indicatrix to temperature parameter, vibration parameters and/or torque parameter
Vibration dynamic data, temperature dynamic data and the torque dynamic number of bearing to be measured described in the simulation result are obtained respectively
According to；
Vibration performance song is drawn according to the vibration dynamic data, the temperature dynamic data and the torque dynamic data are corresponding
Line, temperature profile curve and torque characteristic curve.
3. box bearing fault detection method according to claim 2, which is characterized in that the judgement feature is bent
The step of whether line meets preset operating conditions include:
Judge whether the maximum vibration value in the vibration performance curve is greater than vibration threshold；
When determining the maximum vibration value greater than the vibration threshold, determine that the indicatrix does not meet the default fortune
Row condition；
When determining the maximum vibration value and not being greater than the vibration threshold, the maximum temperature in the temperature profile curve is judged
Whether angle value is greater than temperature threshold；
When determining the maximum temperature values greater than the temperature threshold, determine that the indicatrix does not meet the default fortune
Row condition；
When determining the maximum temperature values and not being greater than the temperature threshold, judge in the torque characteristic curve minimum is turned round
Whether square value is greater than torque threshold；
When determining the minimal torque value greater than the torque threshold, determine that the indicatrix meets the default operation
Condition；
When determining the minimal torque value and not being greater than the torque threshold, it is described default to determine that the indicatrix does not meet
Service condition.
4. box bearing fault detection method according to claim 2, which is characterized in that described to be tied according to the emulation
Gynophore respectively corresponds the step of drawing indicatrix to temperature parameter, vibration parameters and/or torque parameter further include:
Obtain the conversion frequency of vibration parameters in the vibration performance curve；
Revolving speed according to the conversion frequency for the bearing to be measured draws spectrum signature curve.
5. box bearing fault detection method according to claim 4, which is characterized in that the judgement feature is bent
The step of whether line meets preset operating conditions include:
Calculate the characteristic value of spectrum amplitude in the spectrum signature curve, the characteristic value is average value, intermediate value, maximum value or most
Small value；
The dimensional parameters of the bearing to be measured are obtained, and according to the sizecalculation wear threshold；
The abrasion difference between the characteristic value and the wear threshold is calculated, and judges whether the abrasion difference is greater than difference
Threshold value；
If so, determining that the indicatrix does not meet the service condition.
6. box bearing fault detection method according to claim 5, which is characterized in that the acquisition fault parameter is simultaneously
The step of being alarmed for the fault parameter are as follows:
When determining the vibration performance curve and not meeting the preset operating conditions, by the vibration parameters labeled as described
Fault parameter, and corresponding display vibration alarming indicator light；
When determining the temperature profile curve and not meeting the preset operating conditions, by the temperature parameter labeled as described
Fault parameter, and corresponding displays temperature alarm lamp；
When determining the torque characteristic curve and not meeting the preset operating conditions, by the torque parameter labeled as described
Fault parameter, and corresponding display torque alarm lamp；
When determining the spectrum signature curve and not meeting the preset operating conditions, wear coefficient is labeled as the failure
Parameter, and corresponding display abrasion alarm lamp.
7. box bearing fault detection method according to claim 1, which is characterized in that in the acquisition preset time
In the gear-box the step of real-time running data of bearing to be measured after, the method also includes:
The parameter information stored in the real-time running data is obtained, and is joined according to the parameter information for the temperature
Several, the described vibration parameters and/or the torque parameter carry out real time value and show.
8. a kind of box bearing fault detection system characterized by comprising
Model building module, for obtaining the data parameters of bullet train upper gear box when receiving fault detection instruction, and
Fault Model is established according to the data parameters；
Data simulation module will be described for obtaining in preset time the real-time running data of bearing to be measured in the gear-box
Real-time running data is input to the Fault Model and is emulated, and exports simulation result；
Indicatrix drafting module, for being divided according to the simulation result for temperature parameter, vibration parameters and/or torque parameter
Indicatrix Dui Ying not drawn；
Breakdown judge module, for judging whether the indicatrix meets preset operating conditions；It is bent when determining the feature
When line meets the preset operating conditions, determine that the fault detection of the bearing to be measured is qualified；When determining the indicatrix
When not meeting the preset operating conditions, obtains fault parameter and alarm for the fault parameter.
9. box bearing fault detection system according to claim 8, which is characterized in that the indicatrix draws mould
Block is also used to:
Vibration dynamic data, temperature dynamic data and the torque dynamic number of bearing to be measured described in the simulation result are obtained respectively
According to；
Vibration performance song is drawn according to the vibration dynamic data, the temperature dynamic data and the torque dynamic data are corresponding
Line, temperature profile curve and torque characteristic curve.
10. box bearing fault detection system according to claim 9, which is characterized in that the breakdown judge module
It is also used to:
Judge whether the maximum vibration value in the vibration performance curve is greater than vibration threshold；
When determining the maximum vibration value greater than the vibration threshold, determine that the indicatrix does not meet the default fortune
Row condition；
When determining the maximum vibration value and not being greater than the vibration threshold, the maximum temperature in the temperature profile curve is judged
Whether angle value is greater than temperature threshold；
When determining the maximum temperature values greater than the temperature threshold, determine that the indicatrix does not meet the default fortune
Row condition；
When determining the maximum temperature values and not being greater than the temperature threshold, judge in the torque characteristic curve minimum is turned round
Whether square value is greater than torque threshold；
When determining the minimal torque value greater than the torque threshold, determine that the indicatrix meets the default operation
Condition；
When determining the minimal torque value and not being greater than the torque threshold, it is described default to determine that the indicatrix does not meet
Service condition.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110864900A (en) * | 2019-12-23 | 2020-03-06 | 至玥腾风科技集团有限公司 | Bearing detection method, bearing detection system, gas turbine starting method and gas turbine starting system |
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050284225A1 (en) * | 2004-06-28 | 2005-12-29 | Huageng Luo | System and method for monitoring the condition of a drive train |
| JP2012522985A (en) * | 2009-04-02 | 2012-09-27 | ハネウェル・インターナショナル・インコーポレーテッド | System and method for gearbox health monitoring |
| CN102768115A (en) * | 2012-06-27 | 2012-11-07 | 华北电力大学 | Method for dynamically monitoring health status of wind turbine gearbox in real time |
| CN103926075A (en) * | 2014-03-28 | 2014-07-16 | 中能电力科技开发有限公司 | Method for improving fault analysis precision of wind turbine generating set gear box |
| CN106053054A (en) * | 2016-05-24 | 2016-10-26 | 哈尔滨工程大学 | Gear box characteristic parameter real-time on-line detection device |
| CN206114292U (en) * | 2016-09-12 | 2017-04-19 | 哈尔滨理工大学 | Fault detection diagnostic device of multisensor rotating machinery system |
| CN107153929A (en) * | 2017-07-10 | 2017-09-12 | 龙源（北京）风电工程技术有限公司 | Gearbox of wind turbine fault monitoring method and system based on deep neural network |
| CN107560844A (en) * | 2017-07-25 | 2018-01-09 | 广东工业大学 | A kind of fault diagnosis method and system of gearbox of wind turbine |
| CN108204895A (en) * | 2017-11-29 | 2018-06-26 | 中国电力科学研究院有限公司 | A kind of Wind turbines change gear box fault diagnosis method and system |
| CN207717364U (en) * | 2018-01-17 | 2018-08-10 | 南京农业大学 | A kind of planet row Fault Diagnosis of Gear Case testing stand |
| CN108896296A (en) * | 2018-04-18 | 2018-11-27 | 北京信息科技大学 | A kind of wind turbine gearbox method for diagnosing faults based on convolutional neural networks |
| CN108896299A (en) * | 2018-05-25 | 2018-11-27 | 中车青岛四方机车车辆股份有限公司 | A kind of gearbox fault detection method |
| CN109443758A (en) * | 2018-12-29 | 2019-03-08 | 哈尔滨理工大学 | A kind of compound diagnostic device of rotating machinery |
-
2019
- 2019-04-24 CN CN201910331977.4A patent/CN110044624A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050284225A1 (en) * | 2004-06-28 | 2005-12-29 | Huageng Luo | System and method for monitoring the condition of a drive train |
| JP2012522985A (en) * | 2009-04-02 | 2012-09-27 | ハネウェル・インターナショナル・インコーポレーテッド | System and method for gearbox health monitoring |
| CN102768115A (en) * | 2012-06-27 | 2012-11-07 | 华北电力大学 | Method for dynamically monitoring health status of wind turbine gearbox in real time |
| CN103926075A (en) * | 2014-03-28 | 2014-07-16 | 中能电力科技开发有限公司 | Method for improving fault analysis precision of wind turbine generating set gear box |
| CN106053054A (en) * | 2016-05-24 | 2016-10-26 | 哈尔滨工程大学 | Gear box characteristic parameter real-time on-line detection device |
| CN206114292U (en) * | 2016-09-12 | 2017-04-19 | 哈尔滨理工大学 | Fault detection diagnostic device of multisensor rotating machinery system |
| CN107153929A (en) * | 2017-07-10 | 2017-09-12 | 龙源（北京）风电工程技术有限公司 | Gearbox of wind turbine fault monitoring method and system based on deep neural network |
| CN107560844A (en) * | 2017-07-25 | 2018-01-09 | 广东工业大学 | A kind of fault diagnosis method and system of gearbox of wind turbine |
| CN108204895A (en) * | 2017-11-29 | 2018-06-26 | 中国电力科学研究院有限公司 | A kind of Wind turbines change gear box fault diagnosis method and system |
| CN207717364U (en) * | 2018-01-17 | 2018-08-10 | 南京农业大学 | A kind of planet row Fault Diagnosis of Gear Case testing stand |
| CN108896296A (en) * | 2018-04-18 | 2018-11-27 | 北京信息科技大学 | A kind of wind turbine gearbox method for diagnosing faults based on convolutional neural networks |
| CN108896299A (en) * | 2018-05-25 | 2018-11-27 | 中车青岛四方机车车辆股份有限公司 | A kind of gearbox fault detection method |
| CN109443758A (en) * | 2018-12-29 | 2019-03-08 | 哈尔滨理工大学 | A kind of compound diagnostic device of rotating machinery |
Non-Patent Citations (4)
| Title |
|---|
| 朱海燕 等: "高速列车齿轮箱振动特性研究进展", 《现代制造工程》 * |
| 林涛 等: "基于轴承温度的风机齿轮箱故障预警研究", 《可再生能源》 * |
| 王川 等: "基于温度特征的高铁动车齿轮箱故障预测", 《电子技术与软件工程》 * |
| 陈晓玲 等: "高速列车运行速度对传动齿轮箱平衡温度的影响", 《上海交通大学学报》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110864900A (en) * | 2019-12-23 | 2020-03-06 | 至玥腾风科技集团有限公司 | Bearing detection method, bearing detection system, gas turbine starting method and gas turbine starting system |
| CN110864900B (en) * | 2019-12-23 | 2021-08-17 | 靳普 | Bearing detection method, bearing detection system, gas turbine starting method and gas turbine starting system |
| JP2022537587A (en) * | 2019-12-23 | 2022-08-26 | 永旭▲騰▼▲風▼新能源▲動▼力科技（北京）有限公司 | Bearing detection method, detection system, gas turbine starting method, starting system |
| JP7224709B2 (en) | 2019-12-23 | 2023-02-20 | 永旭▲騰▼▲風▼新能源▲動▼力科技（北京）有限公司 | Bearing detection method, detection system, gas turbine starting method, starting system |
| CN113494428A (en) * | 2020-03-20 | 2021-10-12 | 新疆金风科技股份有限公司 | Fault detection method and device of wind generating set |
| CN111475891A (en) * | 2020-03-26 | 2020-07-31 | 青岛海尔空调器有限总公司 | Design method and device for air conditioner movement mechanism |
| CN113553662A (en) * | 2021-07-20 | 2021-10-26 | 广船国际有限公司 | Ship fault prediction method, system, equipment and storage medium |
| CN113984313A (en) * | 2021-10-29 | 2022-01-28 | 东风汽车有限公司东风日产乘用车公司 | Multi-disc clutch part vibration detection device and detection method, storage medium and electronic device |
| CN114674562A (en) * | 2022-03-22 | 2022-06-28 | 中车大连机车研究所有限公司 | Rail transit tapered roller bearing service life prediction method considering service life monitoring conditions |
| CN114674562B (en) * | 2022-03-22 | 2022-10-25 | 中车大连机车研究所有限公司 | Rail transit tapered roller bearing service life prediction method considering service life monitoring conditions |
| CN116878877A (en) * | 2023-07-25 | 2023-10-13 | 中国航发沈阳发动机研究所 | Clamping stagnation fault test and identification method for cylindrical roller bearing of engine |
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