CN107192948A - A kind of low-tension motor multi-parameter monitoring devices and its running situation evaluation method - Google Patents
A kind of low-tension motor multi-parameter monitoring devices and its running situation evaluation method Download PDFInfo
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- CN107192948A CN107192948A CN201710427393.8A CN201710427393A CN107192948A CN 107192948 A CN107192948 A CN 107192948A CN 201710427393 A CN201710427393 A CN 201710427393A CN 107192948 A CN107192948 A CN 107192948A
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The invention discloses a kind of low-tension motor multi-parameter monitoring devices, including power supply and Carrier section, analog acquisition and process part, temperature disturbance sensor interface part, button and OLED display portions, nonvolatile memory, microprocessor and peripheral circuit part；The running situation evaluation method of low-tension motor multi-parameter monitoring devices comprises the following steps：Data acquisition and calculating；Vibration is gathered with temperature rise and calculated；Motor oscillating region labeling；Motor insulating regions are demarcated；Temperature rise is demarcated with areas of overload；Overall merit is demarcated.The present invention utilizes measuring multiple parameters, and the vibration to motor, temperature rise, overload and insulation situation given after subitem evaluationization the running situation overall merit of motor, provide evaluation conclusion rather than quantized data, user is timely understood the evaluation of running status of motor, motor is overhauled in time or with changing.Regular maintenance motor and useless machinery check and repair are substantially increased, efficiency is improved.
Description
Technical field
The present invention relates to detection means field, specifically a kind of low-tension motor multi-parameter monitoring devices and its running situation
Evaluation method.
Background technology
At present, detection of the motor to motor overload situation, the electric current mainly protected by low-pressure electric is detected during motor
Overload is waited, after rotating speed etc. is all measured by independent device, electricity is uploaded directly into by communication for vibration, the temperature rise of motor
Machine control centre, these all there is provided immediate data, be shown to monitoring system, and the operation conditions of motor is judged by user,
The evaluation of motor running condition is made by experience.There is following (1) due to using independent metering system, these data
Measurement and renewal be nonsynchronous, if using nonsynchronous data carry out state estimation, its assessment result is also inaccurate
's.(2) indicated by these decentralized measures all it is to be sent in quantized data, data after MCC, motor fortune is differentiated by experience by user
Market condition.If being judged by single data, the problem of also causing to be out of one's reckoning.
The content of the invention
Regular maintenance motor is substantially increased it is an object of the present invention to provide a kind of and the low pressure of useless machinery check and repair efficiency
Motor multi-parameter monitoring devices and its running situation evaluation method.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention is：
A kind of low-tension motor multi-parameter monitoring devices, including power supply and Carrier section, analog acquisition and process part,
Temperature disturbance sensor interface part, button and OLED display portions, nonvolatile memory, microprocessor and peripheral circuit portion
Point；
Power supply and Carrier section, power supply and the externally communication of main responsible device；
Analog acquisition and process part, the mainly insulation to the signal, motor of the current sensor AR1 outputs of motor are leaked
The signal of current sensor AR2 outputs, and the signal of the speed probe output of motor are acquired and changed；
Temperature disturbance sensor interface is mainly responsible for processing and receives the signal of temperature disturbance sensor；
Button and OLED display portions, are used as the man-machine interface part of device；
Nonvolatile memory is primarily present the critical data and parameter of motor；
Microprocessor and peripheral circuit part, as the executable portion of the control method of device, can download control method
To microprocessor internal.
It is preferred that, the running situation evaluation method of low-tension motor multi-parameter monitoring devices, it is characterised in that including following
Step：
A, data acquisition and calculating；
B, vibration and temperature rise collection are calculated；
C, motor oscillating region labeling；
D, the demarcation of motor insulating regions；
E, temperature rise and areas of overload are demarcated；
F, overall merit demarcation；
It is preferred that, the step A, data acquisition and calculating are concretely comprised the following steps：1st, AVR and VR data acquisitions calculating logic
Start, 2, start ADC conversions AVR1, AVR2, VR output voltage, 3, Fourier algorithm calculate motor operating current Ir, 4, Fu
In leaf algorithm calculate motor electric leakage electric current Is, 5, direct current algorithm calculate motor speed Mn, 6, AVR and VR data acquisitions calculate and patrol
Collect and terminate.
It is preferred that, the step B, vibration and temperature rise collection are calculated：1st, TZR1, TZR2 digital independent and calculating logic are opened
Begin, 2, read TZR1 temperature and calculate motor casing temperature Tk, 3, read TZR1 oscillation three axis acceleration information Jkx, Jky, Jkz,
4th, read TZR2 temperature and calculate motor casing temperature Tz, 5, read TZR2 oscillation three axis acceleration informations Jzx, Jzy, Jzz, 6,
TZR1 peak accelerations are taken to calculate maximum velocity Vk, displacement Sk, 7 by integral algorithm, take TZR2 peak accelerations to pass through
Integral algorithm calculates maximum velocity Vz, displacement Sz, 8, the environment temperature Th inside reading device, and 9, calculate motor casing temperature rise
Tks=Tk-Th, 10, calculate motor shaft temperature rise Tzs=Tz-Th, 11, TZR1, TZR2 digital independents and calculating logic terminate.
It is preferred that, the step C, motor oscillating region labeling：1st, motor oscillating region labeling logic starts, 2, read
Motor speed Mn, motor shaft vibration velocity Vz, displacement Sz, 3, the shaft vibration displacement Sz by motor speed Mn (X-axis) and motor
The axial displacement that (Y-axis) and device are stored evaluate area's curve ratio compared with, obtain rotating shaft displacement evaluation region Qzs, 4, pass through motor speed
The shaft vibration speed Vz (Y-axis) of Mn (X-axis) and motor and the axle speed that device is stored evaluate area's curve ratio compared with obtaining spindle speed
Evaluation region Qzv, 5, read motor speed Mn, motor casing vibration velocity Vk, displacement Sk, 6, by motor speed Mn (X-axis) and
The shell vibration displacement Sk (Y-axis) of motor and the shell displacement that device is stored evaluate area's curve ratio compared with obtaining shell displacement evaluation region
Qks, 7, the shell vibration velocity Vk (Y-axis) by motor speed Mn (X-axis) and motor and the shell speed evaluation area of device storage are bent
Line compares, and obtains shell speed evaluation region Qkv, and 8, motor oscillating region labeling logic terminates.
It is preferred that, the step D, the demarcation of motor insulating regions：1st, motor insulating regions demarcation differentiate logic start, 2, read
Motor electric leakage electric current Is, 3, read the insulation leakagel volume leakage stream grade of motor, and calculate by Is residing region Qs, 4, motor it is exhausted
Edge region labeling differentiates that logic terminates.
It is preferred that, the step E, temperature rise and areas of overload are demarcated：1st, motor temperature rise and areas of overload demarcation differentiate logic
Start, 2, read motor casing temperature rise Tks, and be converted to winding temperature Trs=Tks-25,3, read the heat-resisting temperature rise grade of motor,
And calculate residing region Qrw by Trs, 4, read motor shaft temperature rise Tzs, 5, read the rotating shaft temperature rise grade of motor, and lead to
Cross Tzs to calculate residing region Qzw, 6, read motor running current Ir, 7, read the overload current levels of motor, and lead to
Cross Ir to calculate residing region Qir, 8, motor temperature rise and areas of overload demarcation differentiate that logic terminates.
It is preferred that, the step F, the demarcation overall merit demarcation of motor insulating regions：1st, electric machines test comprehensive descision logic
Start；
2nd, Qzs, Qzv, Qks, Qkv, Qrw, Qzw, Qir, Qs carry out area quantization demarcation：
A areas are quantified as 1 (good)
B areas are quantified as 2 (general)
C areas are quantified as 3 (poor)
D areas are quantified as 4 (extreme differences)；
3rd, Vibration Condition overall merit is calculated：
Qzd1=(0.7*Qzs+0.3*Qks)
Qzd2=(0.7*Qzv+0.3*Qkv)
Qzd=(Qzd1+Qzd2) * 0.5；
4th, the evaluation of temperature rise information summary is calculated：
Qws=(0.8*Qrw+0.2*Qzw)；
5th, motor general status overall merit is calculated：
Q=0.4*Qzd+0.3*Qws+0.2*Qir+0.1*Qs；
6th, motor conditions appraisal report is recorded：
Vibration Condition evaluates Qzd (good, typically, poor, extreme difference)；Temperature rise situation evaluation Qws (it is good, it is typically, poor,
Extreme difference)；
Overload situations evaluate Qir (good, typically, poor, extreme difference)；
Insulation situation evaluates Qs (good, typically, poor, extreme difference)；
General motor situation evaluates Q (good, typically, poor, extreme difference)；
7th, electric machines test comprehensive descision logic knot.
The beneficial effects of the invention are as follows：
The present invention utilizes measuring multiple parameters, and the vibration to motor, temperature rise, overload and insulation situation carry out subitem evaluationization
The running situation overall merit of motor is given afterwards, is provided evaluation conclusion rather than quantized data, user is timely understood electricity
The evaluation of running status of machine, overhauls motor or with changing in time.Regular maintenance motor and useless machinery check and repair are substantially increased, is carried
High efficiency.
Brief description of the drawings
The present invention is further detailed explanation with reference to the accompanying drawings and detailed description.
Fig. 1 is that apparatus of the present invention composition realizes block diagram.
Fig. 2 is that apparatus of the present invention are installed and implementation principle figure.
Fig. 3 main program logic block diagrams of the present invention.
Fig. 4 data acquisitions and calculating logic block diagram.
Fig. 5 vibrate gathers calculating logic block diagram with temperature rise.
Fig. 6 motor oscillating region labeling logic diagrams.
Fig. 7 motors insulating regions demarcate logic diagram.
Fig. 8 temperature rises demarcate logic diagram with areas of overload.
Fig. 9 overall merits demarcate logic diagram.
Figure 10 motor oscillating region labelings.
Figure 11 motor oscillating region labelings.
Figure 12 motor overloads and insulating regions demarcation.
Figure 13 motors subitem is evaluated and overall assessment.
Embodiment
Embodiments of the invention are described in detail below in conjunction with accompanying drawing, but the present invention can be defined by the claims
Implement with the multitude of different ways of covering.
As shown in figures 1-13, the present invention discloses a kind of low-tension motor multi-parameter monitoring devices, including power supply and carrier wave portion
Point, power supply and the externally communication of main responsible device.The power supply of the device directly power taking from motor control box, by external high pressure electricity
Source is directly changed into the internal power supply of device.The power module uses AC/DC modules, and being transformed into VCC and being powered for device makes
With.And carrier communication module (slave module), it is after being handled from untreated serial communication by it, directly to pass through high frequency carrier
Mode, be directly coupled on supply lines.Carrier communication module (primary module) is connected in bus bar side, MCC (electricity is transferred data to
Machine control centre), while MCC can also transfer data to the present apparatus by carrier communication.As shown in Figure 2.
Analog acquisition and process part, the mainly insulation to the signal, motor of the current sensor AR1 outputs of motor are leaked
The signal of current sensor AR2 outputs, and the signal of the speed probe output of motor are acquired and changed.After conversion
Analog signal, by the digital-to-analogue conversion ADC of microprocessor, converts analog signals into data signal, and calculate by algorithm
The rotating speed size of the running current of motor, the shell Ground leakage current of motor and motor.
Temperature disturbance sensor interface is mainly responsible for processing and receives the signal of temperature disturbance sensor, and this interface provides two
(device is using gold installed in the drain pan of device by temperature disturbance sensor TZR1, TZR1 inside road interface, an interface connection device
Belong to casing), the drain pan of metal chassis has strong suction magnet therefore device can directly adsorb in the shell of low-tension motor, by electricity
The vibration data of motivation is delivered to sensor TZR1 with temperature data by way of conduction.Another road interface is connect on machine shaft
The temperature disturbance sensor TZR2 of (magnetic installation), the sensor main adopts the temperature disturbance data of the spindle portion of motor
Collect inside device.TZR1 and TZR2 data read-outs are obtained the skin temperature of motor and temperature rise, shell and shaken by microprocessor
Dynamic data, rotating shaft temperature and temperature rise, the vibration data of motor rotary shaft of motor.
Button and OLED display portions, are used as the man-machine interface part of device.User can set device by button
Carrier communication address, communication baud rate, the model of motor, the information such as capacity motor and rated current；The OLED of device can
With display electric machines test on the spot to motor operating current, run time, motor electric leakage stream size, the skin temperature of motor, turn
Axle temperature degree and the vibration data of both etc..
Nonvolatile memory is primarily present the critical data and parameter of motor, and device is built-in in advance one before dispatching from the factory
The information such as the temperature and temperature rise working curve, the oscillating curve of motor, the overload curves of motor of a little main flow producers motor.These letters
Breath is stored in the memory.Meanwhile, MCC can also by these data by communication prevent descend into device, device will
This data storage is in the memory.It can also can also be formed by the settings of some parameters, device by button and OLED
Corresponding curve data is stored.
Microprocessor and peripheral circuit part, can be by control method (software as the executable portion of the control method of device
Perform code) download to microprocessor internal.The peripheral circuit of microprocessor mainly have real time clock circuit, watchdog circuit with
And microprocessor crystal oscillating circuit etc..The signal and data message of microprocessor collection sensor, the logic judgment integrated,
Indicate the life damage situation of motor；Meanwhile, microprocessor is responsible for carrying out data exchange with MCC, by the data message of measurement
MCC is uploaded to judged result, the data message that MCC is issued also is received.
Data acquisition and calculating：Operation operation order be 1, AVR and VR data acquisition calculating logics start, 2, start ADC
Change AVR1, AVR2, VR output voltage, 3, Fourier algorithm calculate motor operating current Ir, 4, Fourier algorithm calculate electricity
Machine leakage current Is, 5, direct current algorithm calculate motor speed Mn, 6, AVR and VR data acquisition calculating logics terminate；
Vibration is gathered with temperature rise and calculated：It is 1, TZR1 to run operation order, and TZR2 digital independents and calculating logic start, 2,
Read TZR1 temperature and calculate motor casing temperature Tk, 3, read TZR1 oscillation three axis acceleration informations Jkx, Jky, Jkz, 4, read
TZR2 temperature simultaneously calculates motor casing temperature Tz, and 5, read TZR2 oscillation three axis acceleration informations Jzx, Jzy, Jzz, 6, take TZR1
Peak acceleration calculates maximum velocity Vk, displacement Sk, 7 by integral algorithm, takes TZR2 peak accelerations to pass through to integrate and calculate
Method calculates maximum velocity Vz, displacement Sz, 8, the environment temperature Th inside reading device, and 9, calculate motor casing temperature rise Tks=
Tk-Th, 10, calculate motor shaft temperature rise Tzs=Tz-Th, 11, TZR1, TZR2 digital independents and calculating logic terminate.
Motor oscillating region labeling：Operation operation order be 1, motor oscillating region labeling logic start, 2, read motor
Rotating speed Mn, motor shaft vibration velocity Vz, displacement Sz, 3, the shaft vibration displacement Sz (Y-axis) by motor speed Mn (X-axis) and motor
With the axial displacement that device is stored evaluate area's curve ratio compared with, obtain rotating shaft displacement evaluation region Qzs, 4, pass through motor speed Mn (X
Axle) and the axle speed that stores of shaft vibration speed Vz (Y-axis) and device of motor evaluate area's curve ratio compared with obtaining spindle speed evaluation
Region Qzv, 5, read motor speed Mn, motor casing vibration velocity Vk, displacement Sk, 6, pass through motor speed Mn (X-axis) and motor
The shell displacement that stores of shell vibration displacement Sk (Y-axis) and device evaluate area's curve ratio compared with, obtain shell displacement evaluation region Qks, 7,
The shell speed evaluation area's curve ratio stored with device by the shell vibration velocity Vk (Y-axis) of motor speed Mn (X-axis) and motor compared with,
Obtain shell speed evaluation region Qkv, 8, motor oscillating region labeling logic terminates.
Motor insulating regions are demarcated：Operation operation order be 1, motor insulating regions demarcation differentiate logic start, 2, read electricity
Machine leakage current Is, 3, read the insulation leakagel volume leakage stream grade of motor, and calculate by Is residing region Qs, 4, motor insulation
Region labeling differentiates that logic terminates.
Temperature rise is demarcated with areas of overload：Operation operation order is that 1, motor temperature rise and areas of overload demarcation differentiate that logic is opened
Begin, 2, read motor casing temperature rise Tks, and be converted to winding temperature Trs=Tks-25,3, read the heat-resisting temperature rise grade of motor, and
Calculate residing region Qrw by Trs, 4, read motor shaft temperature rise Tzs, 5, read the rotating shaft temperature rise grade of motor, and pass through
Tzs calculates residing region Qzw, and 6, read motor running current Ir, 7, read the overload current levels of motor, and pass through
Ir calculates residing region Qir, and 8, motor temperature rise and areas of overload demarcation differentiate that logic terminates.
Overall merit is demarcated：Operation operation order 1, electric machines test comprehensive descision logic start；
2nd, Qzs, Qzv, Qks, Qkv, Qrw, Qzw, Qir, Qs carry out area quantization demarcation：
A areas are quantified as 1 (good)
B areas are quantified as 2 (general)
C areas are quantified as 3 (poor)
D areas are quantified as 4 (extreme differences)；
3rd, Vibration Condition overall merit is calculated：
Qzd1=(0.7*Qzs+0.3*Qks)
Qzd2=(0.7*Qzv+0.3*Qkv)
Qzd=(Qzd1+Qzd2) * 0.5；
4th, the evaluation of temperature rise information summary is calculated：
Qws=(0.8*Qrw+0.2*Qzw)；
5th, motor general status overall merit is calculated：
Q=0.4*Qzd+0.3*Qws+0.2*Qir+0.1*Qs；
6th, motor conditions appraisal report is recorded：
Vibration Condition evaluates Qzd (good, typically, poor, extreme difference)；Temperature rise situation evaluation Qws (it is good, it is typically, poor,
Extreme difference)；
Overload situations evaluate Qir (good, typically, poor, extreme difference)；
Insulation situation evaluates Qs (good, typically, poor, extreme difference)；
General motor situation evaluates Q (good, typically, poor, extreme difference)；
7th, electric machines test comprehensive descision logic terminates.
The mutual cooperation relation such as signal transitive relation, detailed content combines figure and is described in detail：
Analog acquisition and process part, the signal of main collection current sensor AR1 and AR2 output, motor speed are passed
The signal of sensor VR outputs, by carrying out analog-to-digital conversion (ADC) to AR1 and AR2, and passes through Fourier algorithm, is converted into
The leakage current Is of corresponding motor operating current Ir and motor housing over the ground, speed probe VR is calculated using direct current algorithm
Motor speed Mn corresponding to the signal of output.Specific logic is performed as shown in Figure 4.
Temperature disturbance sensor interface is by gathering vibration temperature sensor TZR1 and TZR2 output data.TZR1 master
What is read is the temperature and vibration data of motor housing, and what TZR2 was read is the temperature and vibration data on machine shaft.Shake
Dynamic data can be calculated on the maximum velocity Vk and vibration displacement Sk of motor housing, machine shaft by integral algorithm
Maximum velocity Vz and vibration displacement Sz.Calculating to temperature rise, mainly subtracts environment temperature by skin temperature and axle temperature degree
(this temperature is inside CPU, can to directly read), the temperature rise Tks and axle temperature for calculating motor housing rises Tzs, as shown in Figure 5.
In figure 6, how logical specification is determined the evaluation of vibration area of motor, for the shell vibration area of motor
Demarcation is identical with the method for shaft vibration region labeling, and simply corresponding evaluation area curve is different, and these curve negotiatings dispatch from the factory built-in
Storage or communication data are downloaded in the non-volatile of device.The method used has been illustrated in Figure 10, has been turned by motor
Fast Mn is commented as X-axis, the shaft vibration displacement of motor or shaft vibration speed as Y-axis in the axial displacement with motor or vibration velocity
As defined in valency curve in region, to determine evaluation region Qzs or Qzv.Such as Figure 10 (a), identical method can also demarcate shell
Evaluation region Qks or Qkv.
In Fig. 7 and 8, point out respectively if demarcating the region labeling of temperature rise, overload and insulation.In the figure 7, by the temperature of shell
Rise and be converted to the temperature rise of machine winding, (a) that the temperature rise scaling method of motor winding temperature rise and rotating shaft can be shown in Figure 11,
(b) shown in.Set by motor winding temperature rise grade, axle temperature upgrades, and determines Trs, Tzs region Qrw and Qzw.Motor mistake
The demarcation with insulating regions is carried, it is similar with temperature rise demarcation, Figure 12 (a) is seen, shown in (b).
Logic in Fig. 9, indicates how to carry out the overall merit to motoring, first by the vibration area of motor
Qzs, Qzv, Qks, Qkv, the region Qrw and Qzw of motor temperature rise, motor overload and insulating regions Qir and Qs carry out digital quantization,
Quantization method is as follows：
If (x can be zs, zv, ks, kv, rw, zw, ir to Qx, s) in A areas, be then quantized in Qx between 1~2.
If (x can be zs, zv, ks, kv, rw, zw, ir to Qx, s) in B areas, be then quantized in Qx between 2~3.
If (x can be zs, zv, ks, kv, rw, zw, ir to Qx, s) in C areas, be then quantized in Qx between 3~4.
If (x can be zs, zv, ks, kv, rw, zw, ir to Qx, s) in D areas, then be quantized to more than 4 in Qx.
The Qzd that this method first returns into vibration area evaluation in one class, such as Fig. 9, the data of shaft vibration are more important, therefore
Allocation proportion accounts for 70%, and shell vibration accounts for 30%.Speed is vibrated and displacement vibration is using respectively accounting for 50%, and reduction goes out whole vibration and commented
Valency region Qzd.In temperature rise, axle temperature is risen and winding temperature rise reduction, more important, the accounting 80% of axle temperature liter, and winding temperature
Rise and only account for 20%, see Qws in Fig. 9.Realizing that overall merit motor running condition is that, by evaluation of vibration Qzd, Qws is evaluated in temperature rise,
Overload evaluates Qir and insulation evaluates Qs and carries out reduction, wherein Qzd accountings 40%, Qws accountings 30%, Qir accountings 20%, and Qs is accounted for
Than 10%.
This method provides the general status evaluation of motor, as shown in figure 13 after subitem evaluation is carried out.
Fig. 3 is the main program flow chart of the present apparatus.Because keyboard and OLE are shown, Communication processing etc. and the specific reality of method
Existing fundamental relation is little, therefore this method is to this is without detailed description and explains.
The embodiments of the present invention described above are not intended to limit the scope of the present invention.It is any in the present invention
Spirit and principle within the modifications, equivalent substitutions and improvements made etc., should be included in the claim protection model of the present invention
Within enclosing.
Claims (8)
1. a kind of low-tension motor multi-parameter monitoring devices, it is characterised in that including power supply and Carrier section, analog acquisition and
Process part, temperature disturbance sensor interface part, button and OLED display portions, nonvolatile memory, microprocessor and
Peripheral circuit part；
Power supply and Carrier section, power supply and the externally communication of main responsible device；
Analog acquisition and process part, signal, the insulation leakagel volume leakage stream of motor mainly exported to the current sensor AR1 of motor
The signal of sensors A R2 outputs, and the signal of the speed probe output of motor are acquired and changed；
Temperature disturbance sensor interface is mainly responsible for processing and receives the signal of temperature disturbance sensor；
Button and OLED display portions, are used as the man-machine interface part of device；
Nonvolatile memory is primarily present the critical data and parameter of motor；
Microprocessor and peripheral circuit part, as the executable portion of the control method of device, can download to control method micro-
Inside processor.
2. the running situation evaluation method of low-tension motor multi-parameter monitoring devices according to claim 1, it is characterised in that
Comprise the following steps：
A, data acquisition and calculating；
B, vibration and temperature rise collection are calculated；
C, motor oscillating region labeling；
D, the demarcation of motor insulating regions；
E, temperature rise and areas of overload are demarcated；
F, overall merit demarcation.
3. the running situation evaluation method of low-tension motor multi-parameter monitoring devices according to claim 2, it is characterised in that
The step A, data acquisition and calculating are concretely comprised the following steps：1st, AVR and VR data acquisitions calculating logic starts, 2, start ADC
Change AVR1, AVR2, VR output voltage, 3, Fourier algorithm calculate motor operating current Ir, 4, Fourier algorithm calculate electricity
Machine leakage current Is, 5, direct current algorithm calculate motor speed Mn, 6, AVR and VR data acquisition calculating logics terminate.
4. the running situation evaluation method of low-tension motor multi-parameter monitoring devices according to claim 2, it is characterised in that
The step B, vibration and temperature rise collection are calculated：(1), TZR1, TZR2 digital independent and calculating logic start, and (2), read TZR1
Temperature simultaneously calculates motor casing temperature Tk, (3), reads TZR1 oscillation three axis acceleration information Jkx, Jky, Jkz, (4), reads TZR2
Temperature simultaneously calculates motor casing temperature Tz, (5), reads TZR2 oscillation three axis acceleration information Jzx, Jzy, Jzz, (6), takes TZR1 most
High acceleration calculates maximum velocity Vk, displacement Sk by integral algorithm, (7), takes TZR2 peak accelerations to be calculated by integrating
Method calculates the environment temperature Th inside maximum velocity Vz, displacement Sz, (8), reading device, (9), calculates motor casing temperature rise
Tks=Tk-Th, (10), calculates motor shaft temperature rise Tzs=Tz-Th, (11), TZR1, TZR2 digital independents and calculating logic knot
Beam.
5. the running situation evaluation method of low-tension motor multi-parameter monitoring devices according to claim 2, it is characterised in that
The step C, motor oscillating region labeling：(1), motor oscillating region labeling logic starts, and (2), reads motor speed Mn, electricity
Arbor vibration velocity Vz, displacement Sz, (3), shaft vibration displacement Sz (Y-axis) and device by motor speed Mn (X-axis) and motor
The axial displacement of storage evaluate area's curve ratio compared with, obtain rotating shaft displacement evaluation region Qzs, (4), by motor speed Mn (X-axis) and
The shaft vibration speed Vz (Y-axis) of motor and the axle speed that device is stored evaluate area's curve ratio compared with obtaining spindle speed evaluation region
Qzv, (5), reads motor speed Mn, motor casing vibration velocity Vk, displacement Sk, (6), passes through motor speed Mn (X-axis) and motor
The shell displacement that stores of shell vibration displacement Sk (Y-axis) and device evaluate area's curve ratio compared with, obtain shell displacement evaluation region Qks,
(7), the shell speed evaluation area curve stored by the shell vibration velocity Vk (Y-axis) of motor speed Mn (X-axis) and motor with device
Compare, obtain shell speed evaluation region Qkv, (8), motor oscillating region labeling logic terminate.
6. the running situation evaluation method of low-tension motor multi-parameter monitoring devices according to claim 2, it is characterised in that
The step D, the demarcation of motor insulating regions：(1), the demarcation of motor insulating regions differentiates that logic starts, and (2), reads motor electric leakage electricity
Is, (3), the insulation leakagel volume leakage stream grade for reading motor are flowed, and calculates by Is residing region Qs, (4), motor insulating regions
Demarcation differentiates that logic terminates.
7. the running situation evaluation method of low-tension motor multi-parameter monitoring devices according to claim 2, it is characterised in that
The step E, temperature rise and areas of overload are demarcated：(1), motor temperature rise and areas of overload demarcation differentiate that logic starts, and (2), read electricity
Casing temperature rise Tks, and winding temperature Trs=Tks-25, (3), the heat-resisting temperature rise grade for reading motor are converted to, and pass through Trs
To calculate residing region Qrw, (4), motor shaft temperature rise Tzs, (5), the rotating shaft temperature rise grade for reading motor are read, and pass through Tzs
To calculate residing region Qzw, (6), motor running current Ir, (7), the overload current levels for reading motor are read, and lead to
Cross Ir to calculate residing region Qir, (8), motor temperature rise and areas of overload demarcation differentiate that logic terminates.
8. the running situation evaluation method of low-tension motor multi-parameter monitoring devices according to claim 2, it is characterised in that
The step F, the demarcation overall merit demarcation of motor insulating regions：(1), electric machines test comprehensive descision logic starts；
(2), Qzs, Qzv, Qks, Qkv, Qrw, Qzw, Qir, Qs carry out area quantization demarcation：
A areas are quantified as 1 (good)
B areas are quantified as 2 (general)
C areas are quantified as 3 (poor)
D areas are quantified as 4 (extreme differences)；
(3), Vibration Condition overall merit is calculated：
Qzd1=(0.7*Qzs+0.3*Qks)
Qzd2=(0.7*Qzv+0.3*Qkv)
Qzd=(Qzd1+Qzd2) * 0.5；
(4), the evaluation of temperature rise information summary is calculated：
Qws=(0.8*Qrw+0.2*Qzw)；
(5), motor general status overall merit is calculated：
Q=0.4*Qzd+0.3*Qws+0.2*Qir+0.1*Qs；
(6) motor conditions appraisal report, is recorded：
Vibration Condition evaluates Qzd (good, typically, poor, extreme difference)；Temperature rise situation evaluates Qws (good, typically, poor, poles
Difference)；
Overload situations evaluate Qir (good, typically, poor, extreme difference)；
Insulation situation evaluates Qs (good, typically, poor, extreme difference)；
General motor situation evaluates Q (good, typically, poor, extreme difference)；
(7), electric machines test comprehensive descision logic knot.
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| CN111812508A (en) * | 2020-06-12 | 2020-10-23 | 星展测控科技股份有限公司 | Motor testing method, device and system and computing equipment |
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| CN115508703A (en) * | 2022-09-19 | 2022-12-23 | 中国人民解放军陆军装甲兵学院 | Multi-source information fusion motor fault diagnosis method and system |
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| CN111812508B (en) * | 2020-06-12 | 2022-05-17 | 星展测控科技股份有限公司 | Motor testing method, device and system and computing equipment |
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Application publication date: 20170922 |