CN209198929U - Numerically-controlled machine tool predictive maintenance standard testing bed - Google Patents
Numerically-controlled machine tool predictive maintenance standard testing bed Download PDFInfo
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- CN209198929U CN209198929U CN201822168026.3U CN201822168026U CN209198929U CN 209198929 U CN209198929 U CN 209198929U CN 201822168026 U CN201822168026 U CN 201822168026U CN 209198929 U CN209198929 U CN 209198929U
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Abstract
The utility model relates to Computerized Numerical Control processing technology fields, especially numerically-controlled machine tool predictive maintenance standard testing bed.Standard testing bed in the utility model includes spindle rotor experimental bench, industrial personal computer and display, and the industrial personal computer is connect with spindle rotor experimental bench signal, and the industrial personal computer is also connect with monitor signal.The utility model can realize predictive maintenance entire flow, precisely, the on-line monitoring of the kernel subsystems of numerically-controlled machine tool efficiently, is controllably realized, the functions such as prognostic and health management core algorithm and visualization interface demonstration, ultimately form the complete service platform that numerically-controlled machine tool predictive maintenance is arranged into result visualization, maintenance and repair optimisation strategy from sensor.
Description
Technical field
The utility model relates to Computerized Numerical Control processing technology fields, especially numerically-controlled machine tool predictive maintenance standard testing bed.
Background technique
Due to factors such as the complexity of production environment and uncertainties, the components such as bearing, gear, shaft coupling and shaft may
It breaks down, failure not only will affect the normal operation of rotor-support-foundation system once occurring, and will lead to associated components damage when serious
Occur, ring is caused brokenly to whole equipment, and may cause casualties.Bearing and gear etc. are as main portion in rotating machinery
Part, the quality of operating status are directly related to the operating that can equipment in good health, therefore carry out experimental study to it and seem
It is particularly important.Existing fault simulation test bed structure is relatively complicated and has a single function, and when simulating different faults, change the outfit process
It is more, fault simulation efficiency is reduced, and a set of more accurate reliable service life, vibration, temperature rise, electric current, voltage can not be provided
Etc. data.It there is problems:
1. process is not perfect, the prior art is verified mainly for certain a part in predictive maintenance process, in full
Control the fault diagnosis of lathe, but the verification experimental verification of being not previously predicted property maintenance entire flow；
2. being difficult to the accuracy of verification result, evaluation index is lacked to predictive maintenance final output, how to be evaluated
As a result the validity of validity and confidence level is difficult point；
3. data are not perfect, existing research spininess carries out single data type, and data type is not comprehensive, and abnormal data
Data volume it is insufficient；
4. model compatibility is bad, existing research is mainly for a certain complex device or a certain critical component, a certain failure
Mode carries out, and model generalization ability is weak, poor universality；
5. sensor type is various, and accident analysis has higher requirements to bandwidth, needs to pass through edge calculations in marginal end
Health to complete to equipment is analyzed.
It, can therefore, it is necessary to establish the numerically-controlled machine tool predictive maintenance standard testing bed of equipment oriented typical failure mode
It is built into and the multi-functional intelligence dress in one such as algorithm development, simulation, test, technical research, scientific research and demonstration may be implemented
Standby verification experimental verification platform.
Utility model content
The purpose of the utility model is to provide numerically-controlled machine tool predictive maintenance standard testing beds, for solving above-mentioned skill
Art problem.
In order to solve the above technical problems, the utility model adopts the following technical solutions:
Numerically-controlled machine tool predictive maintenance standard testing bed includes spindle rotor experimental bench, industrial personal computer and display, the work
Control machine is connect with spindle rotor experimental bench signal, and the industrial personal computer is also connect with monitor signal.The industrial personal computer is as edge
It calculates equipment and is also built-in with predictive maintenance platform.Spindle rotor experimental bench therein may be done to few two kinds of fault simulation realities
It tests, carries out data acquisition, data transmission etc..Industrial personal computer receives the signal in spindle rotor experimental bench in marginal end, and to various
Signal is analyzed, built in predictive maintenance platform mainly can be achieved data analysis and processing, carry out fault diagnosis, health
State is quantitatively evaluated, critical failure analysis FMEA, no less than 10 kinds of introducing of fault mode design, and carries out the decline of critical component
Trend prediction and maintenance measures, while holding equipment management and data storage, remote backup.Display receives industrial personal computer marginal end
Information, and by prediction result and maintenance measures etc. carry out showing interface, realize visualization.Predictive dimension can be achieved in three's cooperation
Entire flow is protected, precisely, efficiently, controllably realizes the on-line monitoring of the kernel subsystems of numerically-controlled machine tool, failure predication and health
The functions such as higher management algorithm and visualization interface demonstration, ultimately form numerically-controlled machine tool predictive maintenance and are arranged into from sensor
The complete service platform of result visualization, maintenance and repair optimisation strategy.
Numerically-controlled machine tool predictive maintenance standard testing bed above-mentioned, the spindle rotor experimental bench includes platform floor, institute
It states and has been sequentially arranged variable-frequency motor, torque rotary speed sensor, main shaft, reduction gearbox on platform floor from left to right, the variable-frequency electric
Machine is connect through armature spindle with torque rotary speed sensor, and the torque rotary speed sensor is connect through main shaft with reduction gearbox；It further include rolling
Dynamic bearing seat, shafting loading disk, mounting frame for sensor, radial loading device and shaft coupling, wherein one end of the main shaft passes through
Shaft coupling is connect with torque rotary speed sensor, and the other end of the main shaft is also connect through shaft coupling with reduction gearbox, the main shaft
Periphery is sequentially installed with rolling bearing pedestal, shafting loading disk, mounting frame for sensor, radial loading device from left to right, and rolls
Dynamic bearing seat, shafting loading disk, mounting frame for sensor, radial loading device are coaxially arranged with main shaft.Wherein, variable-frequency motor
Power input is provided；Torque rotary speed sensor can measure torque and revolving speed；Rolling bearing pedestal mainly plays a supportive role, can be interior
Co-axial failure external member to be measured, specially bearing fault external member are set, can detecte the inner ring failure, outer of bearing fault external member
Enclose failure etc.；Mounting frame for sensor outer sensor, built-in co-axial failure external member to be measured, specially bearing fault set
Part；Radial loading device can realize main shaft radial loaded, the failures such as simulation radial loaded, imbalance, bending vibration；Reduction gearbox being capable of mould
Intend a variety of typical fault modes of failure external member to be measured (such as simulation reduction gearbox built-in gear and the gear tooth breakage of bearing etc.).
Numerically-controlled machine tool predictive maintenance standard testing bed above-mentioned further includes torque loader, and the reduction gearbox is far from main shaft
One end connect through armature spindle with torque loader.It is loaded specifically, reduction gearbox applies reduction gearbox by torque loader.
Numerically-controlled machine tool predictive maintenance standard testing bed above-mentioned further includes temperature sensor, the temperature sensor installation
In on rolling bearing pedestal, the temperature sensor signal is connected to industrial personal computer.Wherein temperature sensor is attached on rolling bearing pedestal
Temperature collection signal, and it is real-time transmitted to industrial personal computer analysis processing.The utility model optimizes biography on the basis of existing research
Sensor point layout strategy improves the compatibility and generalization ability of test envelope, realizes that life prediction optimization and health status are fixed
Amount assessment.
Numerically-controlled machine tool predictive maintenance standard testing bed above-mentioned further includes displacement sensor, the installation of institute's displacement sensors
In on mounting frame for sensor, the displacement transducer signal is connected to industrial personal computer.Wherein displacement sensor acquires displacement signal,
And it is real-time transmitted to industrial personal computer analysis processing, advanced optimize Sensor placement policies.
Numerically-controlled machine tool predictive maintenance standard testing bed above-mentioned, there are two institute's displacement sensors, is respectively arranged in biography
The two sides of sensor mounting bracket.
Numerically-controlled machine tool predictive maintenance standard testing bed above-mentioned further includes two acceleration transducers, and the acceleration passes
Sensor is installed on shaft coupling, and the acceleration transducer signals are connected to industrial personal computer.There are two the acceleration transducers, point
It is not installed on the shaft coupling that main shaft output end and input terminal are connected, for acquiring vibration signal, and is real-time transmitted to industry control
Machine analysis processing, advanced optimizes Sensor placement policies.
Numerically-controlled machine tool predictive maintenance standard testing bed above-mentioned, the variable-frequency motor built-in motor control feedback unit,
The feedback of the signals such as variable-frequency motor control and voltage, electric current, revolving speed, torque, the motor control feedback unit letter can be achieved
Number it is connected to industrial personal computer.Revolving speed, the dtc signal of variable-frequency motor are fed back by motor control feedback unit, it is anti-by motor control
Electric current, the voltage signal of unit acquisition variable-frequency motor are presented, the motor control feedback unit is by collected signal real-time transmission
It is handled to industrial personal computer analysis, the industrial personal computer passes through monitoring, revolving speed, torque, electric current and the voltage of analysis variable-frequency motor, Jin Erjian
Survey the operating status and operating condition of variable-frequency motor.
The operating method of numerically-controlled machine tool predictive maintenance standard testing bed, using numerically-controlled machine tool predictive maintenance mark above-mentioned
Quasi- test envelope is able to carry out the simulation of numerical control processing main shaft different faults, efficiently replaces different faults external member, realizes failure mould
It is quasi-, including following procedure:
Rolling bearing fault simulated experiment mainly has inner ring event the specific steps are rolling bearing fault external member is got ready in advance
Barrier, outer ring failure, rolling element failure, retainer failure, mixed fault, variable-frequency motor is shut down, rolling bearing pedestal is screwed off
The fastening screw at both ends takes out rolling bearing pedestal from platform floor, changes the rolling bearing fault external member got ready in advance, so
The fastening screw at both ends is tightened again afterwards, starts variable-frequency motor after the installation is completed, the power of variable-frequency motor is passed by shaft coupling
It is defeated to rolling bearing fault external member and reduction gearbox rotation on main shaft, is driven, acquire vibration under operating status, temperature, electricity at this time
Stream, voltage, dtc signal can simulate above-mentioned at least one failure, realize different faults group by predictive maintenance platform
The fault reconstruction and precise positioning of conjunction, also analyze fault degree；
And/or the experiment of reduction gearbox fault simulation, the specific steps are get reduction gearbox failure external member, reduction gearbox failure set ready in advance
Part includes slow speed turbine stage shaft gear sleeve member, and wherein slow speed turbine stage shaft gear sleeve member fault type is gear tooth breakage, spot corrosion, surface mill
At least one of damage, tooth root crackle；High speed grade shaft gear sleeve member, high speed grade shaft gear sleeve member fault type are tooth
Take turns broken teeth, spot corrosion；Slow speed turbine stage axle bearing failure external member, wherein slow speed turbine stage axle bearing failure external member fault type be inner ring, outer ring,
Rolling element, retainer failure；High speed grade axle bearing failure external member, high speed grade axle bearing failure external member fault type is interior
Circle, outer ring, rolling element failure, variable-frequency motor is shut down, and screws off on the upside of reduction gearbox and the fastening screw at both ends, opening are slowed down
Box cover takes out gear shaft external member from cabinet, while taking out the bearing external member of gear shaft two sides, replaces with and gets ready in advance
Reduction gearbox failure external member after being placed back into original position, the fastening screw at both ends is tightened again, starts variable-frequency electric after the installation is completed
The power of machine, variable-frequency motor is transferred on main shaft by shaft coupling, drives rolling bearing and reduction gearbox rotation, at this time acquisition operation
Vibration, temperature under state, electric current, voltage, dtc signal can simulate above-mentioned at least one failure, be tieed up by predictability
Fault reconstruction and precise positioning that platform realizes different faults combination are protected, also fault degree can also be analyzed；
And/or main shaft health status monitoring, the specific steps are by radial loading device analog main shaft bending vibration test, wherein
Radial loading device includes force bolt and loading bar, wherein force bolt is connected through a screw thread and is fixed on platform floor lower part,
Loading bar is mounted in platform floor, can quantitatively control the size of radial load, variable-frequency motor is shut down, platform is passed through
The force bolt of bottom plate lower part controls radial load, simulation bending vibration test；After adjusting load, start variable-frequency motor, frequency conversion
The power of motor is transferred on main shaft by shaft coupling, is driven rolling bearing and reduction gearbox rotation, is acquired under operating status at this time
Vibration, temperature, electric current, voltage, dtc signal, predictive maintenance platform provides main shaft judgement working properly and abnormal, gives
Out the qualitative assessment of health status, carry out decline trend prediction, the final predictive maintenance for realizing main shaft；
And/or variable-frequency motor fault detection, the specific steps are pass through motor control feedback unit and torque rotary speed sensor
Revolving speed, torque, voltage, current signal are acquired, signal is further analyzed and is handled by predictive maintenance platform, to change
The mechanical breakdown or bearing fault of frequency machine winding insulation fault and variable-frequency motor carry out condition monitoring and fault diagnosis.
Compared with prior art, the utility model has the beneficial effect that
1, the utility model can realize predictive maintenance entire flow, precisely, efficiently, controllably realize the core of numerically-controlled machine tool
The on-line monitoring of center system, the functions, most end form such as prognostic and health management core algorithm and visualization interface demonstration
At numerically-controlled machine tool predictive maintenance from sensor is arranged into result visualization, the complete service of maintenance and repair optimisation strategy is put down
Platform；
It 2, can be for different types of intelligence equipment (such as the master in numerically-controlled machine tool of intelligent plant by the utility model
Axis etc.) it covers processing, assemble multiple links, optimize Sensor placement policies on the basis of existing research, it can be more preferable
Realization different sensors acquisition signal integrated and polymerization, improve the compatibility and generalization ability of equipment, realize life prediction
Optimization and health status are quantitatively evaluated, and provide the maintenance strategy and Managed Solution of optimization, raw by completions such as visualization systems
Produce the distribution and scheduling of resource；
3, the predictive maintenance as failure external member, before equipment damage, it will be able to standby redundancy is ready in advance,
And the generation of security risk can be avoided as far as possible；It can be used for the fault simulation of different faults external member (such as bearing, gear), one sets
It is standby to complete various faults simulation (such as rolling bearing fault experiment, the simulated experiment of reduction gearbox drive failures, radial loaded reality
Test, torque loading experiment and bending vibration experiment etc.), vdiverse in function and structure is simple, the actual condition of intuitive faults external member, energy
It is enough that the accurately and reliably data such as service life, vibration, temperature rise, electric current, voltage are provided；Establish the typical cases such as equipment oriented such as main shaft failure
The predictive maintenance of failure mode is simulated, and intelligence equipment predictive maintenance standard carrying out is promoted to implement, can collect simulation, test,
Scientific research etc. is multi-functional in one；
4, the compatibility of the utility model preferably, can also both simulate equipment simulating to critical component, can be with
A certain fault mode is simulated, generalization ability is strong, and versatility is more preferable；It is arranged on the basis of existing research a variety of different
Signal pickup assembly, such as optimization Sensor placement policies and electric current, voltage acquisition etc., realize the longevity of failure external member etc.
It orders prediction optimization and health status is quantitatively evaluated, the maintenance strategy and Managed Solution of optimization are provided.
Detailed description of the invention
Fig. 1 is the part connection relationship diagram of the utility model；
Fig. 2 is the structural schematic diagram of spindle rotor experimental bench in the utility model.
The meaning of appended drawing reference: 100- spindle rotor experimental bench, 200- industrial personal computer, 300- display, 400- predictability dimension
Protect platform, 1- variable-frequency motor, 2- torque rotary speed sensor, 3- main shaft, 4- rolling bearing pedestal, 5- shafting loading disk, 6- sensor
Mounting bracket, 7- radial loading device, 8- reduction gearbox, 9- torque loader, 10- shaft coupling, 11- platform floor, 12- temperature pass
Sensor, 13- displacement sensor, 14- acceleration transducer.
The utility model is further described with reference to the accompanying drawings and detailed description.
Specific embodiment
Embodiment 1 of the present utility model:as shown in FIG. 1 and FIG. 2, numerically-controlled machine tool predictive maintenance standard testing bed includes master
Axis rotor testbed 100, industrial personal computer 200 and display 300, the industrial personal computer 200 connect with 100 signal of spindle rotor experimental bench
It connects, the industrial personal computer 200 is also connect with 300 signal of display.The industrial personal computer 200 is also built-in with based on EdgePro Server
The predictive maintenance platform 400 of exploitation.Spindle rotor experimental bench 100 therein may be done to few two kinds of fault simulations experiment,
Carry out data acquisition, data transmission etc..Industrial personal computer 200 receive spindle rotor experimental bench 100 in signal, and to various signals into
Row analysis, built in mainly achievable data analysis and the processing of predictive maintenance platform 400, carry out fault diagnosis, healthy shape
State is quantitatively evaluated, critical failure analysis FMEA, no less than 10 kinds of introducing of fault mode design, and the decline for carrying out critical component becomes
Gesture prediction and maintenance measures, while holding equipment management and data storage, remote backup.Display 300 receives industrial personal computer 200
Information, and prediction result and maintenance measures etc. are subjected to showing interface, realize visualization.Three, which cooperates, can be achieved predictive maintenance
Entire flow, precisely, efficiently, controllably realizes the on-line monitoring of the kernel subsystems of numerically-controlled machine tool, and failure predication and health are managed
The functions such as core algorithm and visualization interface demonstration are managed, numerically-controlled machine tool predictive maintenance is ultimately formed from sensor and is arranged into knot
Fruit visualization, maintenance and repair optimisation strategy complete service platform.
Embodiment 2: as depicted in figs. 1 and 2, numerically-controlled machine tool predictive maintenance standard testing bed includes spindle rotor experimental bench
100, industrial personal computer 200 and display 300, the industrial personal computer 200 are connect with 100 signal of spindle rotor experimental bench, the industrial personal computer
200 also connect with 300 signal of display.The industrial personal computer 200 is also built-in with the predictability based on EdgePro Server exploitation
Maintenance platform 400.Spindle rotor experimental bench 100 therein may be done to few two kinds of fault simulations experiment, carry out data acquisition,
Data transmission etc..Industrial personal computer 200 receives the signal in spindle rotor experimental bench 100, and analyzes various signals, built in
Mainly achievable data analysis and the processing of predictive maintenance platform 400, carry out fault diagnosis, health status is quantitatively evaluated, closes
Key accident analysis FMEA, the fault mode design for introducing no less than 10 kinds, carry out the decline trend prediction and maintenance of critical component
Decision, while holding equipment management and data storage, remote backup.Display 300 receives the information of industrial personal computer 200, and will be pre-
It surveys result and maintenance measures etc. and carries out showing interface, realize visualization.Three, which cooperates, can be achieved predictive maintenance entire flow, essence
The on-line monitoring of kernel subsystems that are quasi-, efficiently, controllably realizing numerically-controlled machine tool, prognostic and health management core algorithm with
And the functions such as visualization interface demonstration, numerically-controlled machine tool predictive maintenance, which is ultimately formed, from sensor is arranged into result visualization, dimension
Protect the complete service platform of maintenance key point strategy.
Numerically-controlled machine tool predictive maintenance standard testing bed, the spindle rotor experimental bench 100 includes platform floor 11, described
Variable-frequency motor 1, torque rotary speed sensor 2, main shaft 3, reduction gearbox 8, the change have been sequentially arranged on platform floor 11 from left to right
Frequency motor 1 is connect through armature spindle with torque rotary speed sensor 2, and the torque rotary speed sensor 2 is connect through main shaft 3 with reduction gearbox 8；
It further include rolling bearing pedestal 4, shafting loading disk 5, mounting frame for sensor 6, radial loading device 7 and shaft coupling 10, wherein institute
The one end for stating main shaft 3 is connect through shaft coupling 10 with torque rotary speed sensor 2, the other end of the main shaft 3 also through shaft coupling 10 with
Reduction gearbox 8 connects, and the periphery of the main shaft 3 is sequentially installed with rolling bearing pedestal 4, shafting loading disk 5, sensor peace from left to right
Fill bracket 6, radial loading device 7, and rolling bearing pedestal 4, shafting loading disk 5, mounting frame for sensor 6, radial loading device 7
It is coaxially arranged with main shaft 3.Specifically, variable-frequency motor 1 therein is motive power three-phase variable frequency motor, main shaft 3 uses twin spans list
Main shaft system, shafting loading disk 5 are a kind of shaft load disk, and radial loading device 7 is a kind of radial loaded device, and reduction gearbox 8 is one
Kind second level parallel shaft reduction gear case, torque loader 9 are a kind of magnetic powder loader.Wherein, it is defeated to provide power for variable-frequency motor 1
Enter；Torque rotary speed sensor 2 can measure torque and revolving speed；Rolling bearing pedestal 4 mainly plays a supportive role, can be built-in same therewith
The failure external member to be measured of axis, specially bearing fault external member can detecte inner ring failure, the outer ring failure of bearing fault external member
Deng；6 outer sensor of mounting frame for sensor, built-in co-axial failure external member to be measured, specially bearing fault external member；Diameter
Main shaft radial loaded, the failures such as simulation radial loaded, imbalance, bending vibration can be realized to loading device 7；Reduction gearbox 8 can simulate
A variety of typical fault modes of failure external member (such as simulation 8 built-in gear of reduction gearbox and the gear tooth breakage of bearing etc.) to be measured.
Further, numerically-controlled machine tool predictive maintenance standard testing bed further includes torque loader 9, and the reduction gearbox 8 is remote
One end from main shaft 3 is connect through armature spindle with torque loader 9.Specifically, reduction gearbox 8 is by torque loader 9 to reduction gearbox 8
Apply load.
Numerically-controlled machine tool predictive maintenance standard testing bed further includes temperature sensor 12, and the temperature sensor 12 is installed on
On rolling bearing pedestal 4,12 signal of temperature sensor is connected to industrial personal computer 200.Wherein temperature sensor 12 is attached to the axis of rolling
Temperature collection signal on seat 4 is held, and is real-time transmitted to 200 analysis of industrial personal computer processing.The utility model is on the basis of existing research
On optimize Sensor placement policies, improve the compatibility and generalization ability of test envelope, realize life prediction optimization and
Health status is quantitatively evaluated.Numerically-controlled machine tool predictive maintenance standard testing bed further includes displacement sensor 13, the displacement sensing
Device 13 is installed on mounting frame for sensor 6, and 13 signal of institute's displacement sensors is connected to industrial personal computer 200.Wherein displacement sensing
Device 13 acquires displacement signal, and is real-time transmitted to 200 analysis of industrial personal computer processing, advanced optimizes Sensor placement policies.
There are two institute's displacement sensors 13, is respectively arranged in the two sides of mounting frame for sensor 6.
Specifically, numerically-controlled machine tool predictive maintenance standard testing bed further includes two acceleration transducers 14, the acceleration
Degree sensor 14 is installed on shaft coupling 10, and 14 signal of acceleration transducer is connected to industrial personal computer 200.The acceleration passes
There are two sensors 14, is respectively arranged on the shaft coupling 10 that 3 output end of main shaft and input terminal are connected, for acquiring vibration letter
Number, and it is real-time transmitted to 200 analysis of industrial personal computer processing, advanced optimize Sensor placement policies.In the variable-frequency motor 1
Motor control feedback unit is set, the motor control feedback unit signal is connected to industrial personal computer 200.Pass through motor control feedback
Revolving speed, the dtc signal of member feedback variable-frequency motor 1 acquire the electric current of variable-frequency motor 1 by motor control feedback unit, voltage is believed
Number, collected signal is real-time transmitted to 200 analysis of industrial personal computer and handled by the motor control feedback unit, the industrial personal computer
200 by monitoring, the electric current and voltage of analysis variable-frequency motor 1, and then monitors the operating status and operating condition of variable-frequency motor 1.Wherein
Torque rotary speed sensor 2 measures revolving speed, the sample frequency of torque is 1S/s, and the sample frequency of temperature sensor 12 is 1S/s,
The sample frequency of displacement sensor 13 is 25.6k S/s, and the sample frequency of acceleration transducer 14 is 25.6k S/s, note: S/s
Indicate sampling number per second (Sample/second).
Embodiment 3: as depicted in figs. 1 and 2, the operating method of numerically-controlled machine tool predictive maintenance standard testing bed, before
The numerically-controlled machine tool predictive maintenance standard testing bed stated, is able to carry out the simulation of numerical control processing main shaft different faults, convenient and efficient
Different faults external member is replaced on ground, realizes fault simulation.Specifically include following procedure:
(1) rolling bearing fault simulated experiment
Specifically, getting rolling bearing fault external member ready in advance, mainly there is inner ring failure, outer ring failure, rolling element failure, protects
Frame failure, mixed fault are held, variable-frequency motor 1 is shut down, screws off the fastening screw at 4 both ends of rolling bearing pedestal, by the axis of rolling
It holds seat 4 to take out from platform floor 11, changes the rolling bearing fault external member got ready in advance, then by the fastening screw weight at both ends
It newly tightens, starts variable-frequency motor 1 after the installation is completed, the power of variable-frequency motor 1 is transferred on main shaft 3 by shaft coupling 10, is driven
Rolling bearing fault external member and reduction gearbox 8 rotate, at this time the vibration under acquisition operating status, temperature, electric current, voltage, torque letter
Number, above-mentioned at least one failure can be simulated, the fault reconstruction of different faults combination is realized by predictive maintenance platform 400
And precise positioning, also fault degree is analyzed.
(2) reduction gearbox fault simulation is tested
Specifically, getting 8 failure external member of reduction gearbox, including slow speed turbine stage shaft gear sleeve member ready in advance, wherein fault type is
At least one of gear tooth breakage, spot corrosion, surface abrasion, tooth root crackle；High speed grade shaft gear sleeve member, wherein fault type be
Gear tooth breakage, spot corrosion；Slow speed turbine stage axle bearing failure external member, wherein fault type is inner ring, outer ring, rolling element, retainer failure；
High speed grade axle bearing failure external member, wherein fault type is inner ring, outer ring, rolling element failure, and variable-frequency motor 1 is shut down,
The fastening screw for screwing off 8 upside of reduction gearbox and both ends, opens 8 upper cover of reduction gearbox, gear shaft external member is taken out from cabinet, simultaneously
The bearing external member for taking out gear shaft two sides, replaces with the 8 failure external member of reduction gearbox got ready in advance, after being placed back into original position, by two
The fastening screw at end is tightened again, starts variable-frequency motor 1 after the installation is completed, and the power of variable-frequency motor 1 is transmitted by shaft coupling 10
Onto main shaft 3, rolling bearing and reduction gearbox 8 is driven to rotate, acquire at this time vibration under operating status, temperature, electric current, voltage,
Dtc signal can simulate above-mentioned at least one failure, and the event of different faults combination is realized by predictive maintenance platform 400
Barrier separation and precise positioning, also can also analyze fault degree.
(3) main shaft health status monitoring
Specifically, being tested by 7 analog main shaft of radial loading device, 3 bending vibration, wherein radial loading device 7 includes force spiral shell
Bolt and loading bar, wherein force bolt is connected through a screw thread and is fixed on 11 lower part of platform floor, loading bar is mounted on platform floor
In 11, the size of radial load can be quantitatively controlled, variable-frequency motor 1 is shut down, the force of 11 lower part of platform floor is passed through
Bolt controls radial load, simulation bending vibration test；After adjusting load, start variable-frequency motor 1, the power of variable-frequency motor 1 is logical
It crosses shaft coupling 10 to be transferred on main shaft 3, rolling bearing and reduction gearbox 8 is driven to rotate, at this time the vibration under acquisition operating status, temperature
Degree, electric current, voltage, dtc signal, predictive maintenance platform 400 provide the judgement working properly and abnormal of main shaft 3, provide health
The qualitative assessment of state carries out decline trend prediction, the final predictive maintenance for realizing main shaft 3.
(4) variable-frequency motor fault detection
Specifically, acquiring revolving speed, torque, voltage, electric current letter by motor control feedback unit and torque rotary speed sensor 2
Number, signal is further analyzed and is handled by predictive maintenance platform 400, to 1 winding insulation failure of variable-frequency motor and
The mechanical breakdown or bearing fault of variable-frequency motor 1 carry out condition monitoring and fault diagnosis.
Working principle of the utility model is: spindle rotor experimental bench 100 can complete live spindle using failure external member to be measured
The various faults of typical component gear and bearing are tested such as: rolling bearing fault experiment, the simulated experiment of reduction gearbox drive failures, diameter
Tested to loading experiment, torque loading experiment and bending vibration etc..Feedback unit and torque rotary speed sensor 2 are controlled by built-in motor
The signals such as revolving speed, torque, voltage, electric current are acquired, shafting health status is calculated using the methods of Threshold Analysis, comparative analysis, leads to
Cross the additional displacement sensor 13 such as sensor mount 6, rolling bearing pedestal 4, shaft coupling 10, temperature sensor 12, acceleration
Sensor 14, the signals such as acquisition displacement, vibration, temperature, acceleration, utilizes the predictive maintenance platform built in industrial personal computer 200
400, abnormity diagnosis and health state evaluation are carried out to collected all signals using signal processing algorithm, provide main shaft work
Normal and abnormal judgement, provides the qualitative assessment of health status, carries out decline trend prediction, carries out fault diagnosis, healthy shape
State is quantitatively evaluated, critical failure analysis FMEA, no less than 10 kinds of introducing of fault mode design, and the decline for carrying out critical component becomes
Gesture prediction and maintenance measures, while holding equipment management and data storage, remote backup.Display 300 receives industrial personal computer 200
Information, and prediction result and maintenance measures etc. are subjected to showing interface, realize visualization.Three, which cooperates, can be achieved predictive maintenance
Entire flow, precisely, efficiently, controllably realizes the on-line monitoring of the kernel subsystems of numerically-controlled machine tool, and failure predication and health are managed
The functions such as core algorithm and visualization interface demonstration are managed, numerically-controlled machine tool predictive maintenance is ultimately formed from sensor and is arranged into knot
Fruit visualization, maintenance and repair optimisation strategy complete service platform.
Claims (8)
1. numerically-controlled machine tool predictive maintenance standard testing bed, which is characterized in that including spindle rotor experimental bench (100), industrial personal computer
(200) it is connect with display (300), the industrial personal computer (200) with spindle rotor experimental bench (100) signal, the industrial personal computer
(200) it is also connect with display (300) signal.
2. numerically-controlled machine tool predictive maintenance standard testing bed according to claim 1, which is characterized in that the spindle rotor
Experimental bench (100) includes platform floor (11), be sequentially arranged from left to right on the platform floor (11) variable-frequency motor (1),
Torque rotary speed sensor (2), main shaft (3), reduction gearbox (8), the variable-frequency motor (1) is through armature spindle and torque rotary speed sensor
(2) it connects, the torque rotary speed sensor (2) connect through main shaft (3) with reduction gearbox (8)；It further include rolling bearing pedestal (4), axis
It is loading disk (5), mounting frame for sensor (6), radial loading device (7) and shaft coupling (10), wherein the one of the main shaft (3)
End is connect through shaft coupling (10) with torque rotary speed sensor (2), and the other end of the main shaft (3) also through shaft coupling (10) and slows down
Case (8) connection, the periphery of the main shaft (3) are sequentially installed with rolling bearing pedestal (4), shafting loading disk (5), sensing from left to right
Device mounting bracket (6), radial loading device (7), and rolling bearing pedestal (4), shafting loading disk (5), mounting frame for sensor
(6), radial loading device (7) is coaxially arranged with main shaft (3).
3. numerically-controlled machine tool predictive maintenance standard testing bed according to claim 2, which is characterized in that further include that torque adds
It carries device (9), the reduction gearbox (8) connect through armature spindle with torque loader (9) far from the one end of main shaft (3).
4. numerically-controlled machine tool predictive maintenance standard testing bed according to claim 3, which is characterized in that further include that temperature passes
Sensor (12), the temperature sensor (12) are installed on rolling bearing pedestal (4), and temperature sensor (12) signal is connected to
Industrial personal computer (200).
5. numerically-controlled machine tool predictive maintenance standard testing bed according to claim 3, which is characterized in that further include that displacement passes
Sensor (13), institute's displacement sensors (13) are installed on mounting frame for sensor (6), and institute's displacement sensors (13) signal connects
It is connected to industrial personal computer (200).
6. numerically-controlled machine tool predictive maintenance standard testing bed according to claim 5, which is characterized in that the displacement sensing
There are two devices (13), is respectively arranged in the two sides of mounting frame for sensor (6).
7. numerically-controlled machine tool predictive maintenance standard testing bed according to claim 3, which is characterized in that further include two and add
Velocity sensor (14), the acceleration transducer (14) are installed on shaft coupling (10), acceleration transducer (14) letter
Number it is connected to industrial personal computer (200).
8. numerically-controlled machine tool predictive maintenance standard testing bed according to claim 3, which is characterized in that the variable-frequency motor
(1) built-in motor controls feedback unit, and the motor control feedback unit signal is connected to industrial personal computer (200).
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