CN110044622A - A kind of rolling bearing initial failure prior-warning device and method - Google Patents
A kind of rolling bearing initial failure prior-warning device and method Download PDFInfo
- Publication number
- CN110044622A CN110044622A CN201910240990.9A CN201910240990A CN110044622A CN 110044622 A CN110044622 A CN 110044622A CN 201910240990 A CN201910240990 A CN 201910240990A CN 110044622 A CN110044622 A CN 110044622A
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- acceleration transducer
- bearing
- rolling bearing
- initial failure
- control computer
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- 238000005096 rolling process Methods 0.000 title claims abstract description 24
- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000001133 acceleration Effects 0.000 claims abstract description 28
- 230000008878 coupling Effects 0.000 claims abstract description 8
- 238000010168 coupling process Methods 0.000 claims abstract description 8
- 238000005859 coupling reaction Methods 0.000 claims abstract description 8
- 238000000354 decomposition reaction Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 3
- 230000002085 persistent effect Effects 0.000 claims description 3
- 238000001179 sorption measurement Methods 0.000 claims description 3
- 238000001228 spectrum Methods 0.000 claims description 3
- 238000013481 data capture Methods 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 2
- 230000004888 barrier function Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
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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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- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- General Physics & Mathematics (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The present invention relates to a kind of rolling bearing initial failure prior-warning device and methods, belong to automatic control technology field.The present invention includes acceleration transducer I, acceleration transducer II;Height shielding data connecting line, multi-channel data acquisition board, industrial control computer and fault alarm;Acceleration transducer I, acceleration transducer II is directly fixed on right above the shell of shaft coupling, rolling bearing is arranged in shaft coupling, acceleration transducer I, the output port of acceleration transducer II shields data connecting line by height and is connected with the input port of multi-channel data acquisition board, the output port of multi-channel data acquisition board is connected by serial bus with industrial control computer, the output of industrial computer is connected by signal transmssion line with fault alarm, industrial control computer is analyzed by the peak index to acquisition signal, whether judging bearing fault, and it controls fault alarm and issues alarm.The present invention can improve the accuracy and reliability of failure judge.
Description
Technical field
The present invention relates to a kind of rolling bearing initial failure prior-warning device and methods, belong to automatic control technology field.
Background technique
Rolling bearing is widely used in various slewings, and operating status directly affects the reliability and safety of equipment
Property.According to statistics, in the failure of slewing, 30% failure is as caused by rolling bearing.Rolling bearing operating status
Three phases can be divided into: normal phase, initial failure stage and catastrophe failure stage, bearing put into operation in a period of time,
Feature keeps more stable state, and this period is normal phase;With the increase of running time, the loss of bearing is accumulated
To-determine degree, feature can vary widely, at this time referred to as initial failure stage.Into after people's initial failure stage, if
, finally there is obvious fault, into people's catastrophe failure stage in maintenance not in time, damage of the bearing aggravation.In order to preferably realize
Bearing initial failure early warning should select that bearing normal phase, initial failure stage and catastrophe failure stage can be distinguished first
Characteristic index, this feature index should have more apparent difference in the bearing different operation phase, especially normal phase with
Between the initial failure stage.If bearing initial failure cannot be found accurately and in time, once evolving into catastrophe failure, can cause
The non-programmed halt of whole equipment, causes economic loss.Therefore, initial failure is carried out to rolling bearing and shoots a glance at research in advance with very big
Practical value and considerable economic benefit.
Summary of the invention
The present invention provides a kind of rolling bearing initial failure prior-warning device and methods, with the standard for improving failure judge
True property and reliability.
The technical scheme is that a kind of rolling bearing initial failure prior-warning device, including acceleration transducer I 3 plus
Velocity sensor II 5;Height shielding data connecting line 13, multi-channel data acquisition board 14, industrial control computer 16 and failure report
Alert device 18;Acceleration transducer I 3, acceleration transducer II 5 use magnetic adsorption type sensor, are directly fixed on shaft coupling
Shell right above, rolling bearing be arranged in shaft coupling, the output port of acceleration transducer I 3, acceleration transducer II 5
It shields data connecting line 13 by height to be connected with the input port of multi-channel data acquisition board 14, multi-channel data acquisition board 14
Output port be connected with industrial control computer 16 by serial bus 15, the output of industrial computer 16 passes through signal biography
Defeated line 17 is connected with fault alarm 18.
A kind of rolling bearing initial failure method for early warning, specific step is as follows for the method:
Step1, data collecting card receive the collected vibration signal of acceleration transducer respectively, and industrial control computer will
Vibration signal is a series of intrinsic mode function IMF components by empirical mode decomposition;
Step2, Spectrum Conversion is carried out to the IMF component that decomposition obtains, extracts its peak value as fault signature index;
Step3, it is interfered caused by judgement in order to avoid peak index fluctuation is excessive, more accurately to bearing early stage event
Barrier carries out early warning, is further processed using local mean value method to peak index:
In formula,For the peak value local mean value of sample point j, xjThe peak value of representative sample point j, xj+iRepresent jth+iA sample
The peak value of point, N is data length, and n is to calculateWhen participate in calculate sample point quantity;
Step4, assume bearing normal operating phase, initial spike local mean value is x0;
Step5, by current peak value local mean value and 1.2 times of x0It makes comparisons, if current local mean value is greater than 1.2x0,
Persistent anomaly number a is then added 1;Otherwise it resets, and judges that bearing is in normal condition;Setting frequency of abnormity threshold value is A, works as a
When greater than A, illustrate that bearing is run in the state for being higher than initial threshold for a long time, feature has changed, and is in initial failure rank
Section, initial failure is alarmed at this time, and staff should pay close attention to the bearing, be repaired or replaced.
The beneficial effects of the present invention are:
Energy real-time monitoring rolling bearing initial failure of the present invention reminds operation and maintenance personnel to repair in time to bearing
Or replacement, it avoids bearing fault and brings about great losses.Meanwhile it realizing parameter measure and being detected based on signal processing
The combination of method improves the accuracy and reliability of the differentiation of bearing initial failure.
Detailed description of the invention
Fig. 1 is fault pre-alarming device figure of the present invention;
Fig. 2 is fault early warning method flow chart of the present invention;
When Fig. 3 is that rolling bearing of the present invention operates normally, vibration signal failure sharp peaks characteristic index curve;
Fig. 4 is housing washer fault vibration signal fault sharp peaks characteristic index curve of the present invention;
Fig. 5 is rolling bearing inner ring fault vibration signal fault sharp peaks characteristic index curve of the present invention.
Each label in Fig. 1: 1- motor, 2- frequency converter, 3- acceleration transducer I, 4- first bearing seat, 5- acceleration sensing
Device II, 6- second bearing seat, 7- loading device support frame, 8- pressure sensor, 9- bearing radial load loading device, 10-
Three bearing blocks, 11- detachable base, 12- quake-proof seat, 13- high shielding data connecting line, 14- multi-channel data acquisition board,
15- serial bus, 16- industrial computer, 17- signal transmssion line, 18- fault alarm.
Specific embodiment
Embodiment 1: as shown in Figs. 1-5, a kind of rolling bearing initial failure prior-warning device, including acceleration transducer I 3,
Acceleration transducer II 5;Height shielding data connecting line 13, multi-channel data acquisition board 14, industrial control computer 16 and failure
Alarm 18;Acceleration transducer I 3, acceleration transducer II 5 use magnetic adsorption type sensor, are directly fixed on shaft coupling
Right above the shell of device, rolling bearing is arranged in shaft coupling, the output end of acceleration transducer I 3, acceleration transducer II 5
Mouth shields data connecting line 13 by height and is connected with the input port of multi-channel data acquisition board 14, multi-channel data acquisition board
14 output port is connected by serial bus 15 with industrial control computer 16, and the output of industrial computer 16 passes through signal
Transmission line 17 is connected with fault alarm 18.
A kind of rolling bearing initial failure method for early warning, specific step is as follows for the method:
Step1, data collecting card receive the collected vibration signal of acceleration transducer respectively, and industrial control computer will
Vibration signal is a series of intrinsic mode function IMF components by empirical mode decomposition;
Step2, Spectrum Conversion is carried out to the IMF component that decomposition obtains, extracts its peak value as fault signature index;
Step3, it is interfered caused by judgement in order to avoid peak index fluctuation is excessive, more accurately to bearing early stage event
Barrier carries out early warning, is further processed using local mean value method to peak index:
In formula,For the peak value local mean value of sample point j, xjThe peak value of representative sample point j, xj+iRepresent jth+iA sample
The peak value of point, N is data length, and n is to calculateWhen participate in calculate sample point quantity;
Step4, assume bearing normal operating phase, initial spike local mean value is x0;
Step5, by current peak value local mean value and 1.2 times of x0It makes comparisons, if current local mean value is greater than 1.2x0,
Persistent anomaly number a is then added 1;Otherwise it resets, and judges that bearing is in normal condition;Setting frequency of abnormity threshold value is A, works as a
When greater than A, illustrate that bearing is run in the state for being higher than initial threshold for a long time, feature has changed, and is in initial failure rank
Section, initial failure is alarmed at this time, and staff should pay close attention to the bearing, be repaired or replaced.Just to rolling bearing
Often, outer ring, the testing result of inner ring failure are as shown in Figures 3 to 5.Industrial control computer 16 passes through the peak value to acquisition signal
Index is analyzed, and whether judging bearing fault, and is controlled fault alarm 18 and is issued alarm.The present invention passes through signal processing
And analysis, self-adaptive estimation and alarm mechanism are provided for rolling bearing fault diagnosis, improve accuracy that failure is judged and reliable
Property.
Above in conjunction with attached drawing, the embodiment of the present invention is explained in detail, but the present invention is not limited to above-mentioned
Embodiment within the knowledge of a person skilled in the art can also be before not departing from present inventive concept
Put that various changes can be made.
Claims (2)
1. a kind of rolling bearing initial failure prior-warning device, it is characterised in that: including acceleration transducer I (3), acceleration sensing
Device II (5);Height shielding data connecting line (13), multi-channel data acquisition board (14), industrial control computer (16) and failure report
Alert device (18);Acceleration transducer I (3), acceleration transducer II (5) use magnetic adsorption type sensor, are directly fixed on
Right above the shell of shaft coupling, rolling bearing is arranged in shaft coupling, acceleration transducer I (3), acceleration transducer II (5)
Output port data connecting line (13) shielded by height be connected with the input port of multi-channel data acquisition board (14), multi-pass
The output port of track data capture card (14) is connected by serial bus (15) with industrial control computer (16), and industry calculates
The output of machine (16) is connected by signal transmssion line (17) with fault alarm (18).
2. a kind of rolling bearing initial failure method for early warning, it is characterised in that: specific step is as follows for the method:
Step1, data collecting card receive the collected vibration signal of acceleration transducer respectively, and industrial control computer will vibrate
Signal is a series of intrinsic mode function IMF components by empirical mode decomposition;
Step2, Spectrum Conversion is carried out to the IMF component that decomposition obtains, extracts its peak value as fault signature index;
Step3, in order to avoid peak index fluctuation it is excessive interfered caused by judgement, more accurately to bearing initial failure into
Row early warning is further processed peak index using local mean value method:
In formula,For the peak value local mean value of sample point j, xjThe peak value of representative sample point j, xj+iRepresent+i sample points of jth
Peak value, N are data length, and n is to calculateWhen participate in calculate sample point quantity;
Step4, assume bearing normal operating phase, initial spike local mean value is x0;
Step5, by current peak value local mean value and 1.2 times of x0It makes comparisons, if current local mean value is greater than 1.2x0, then will
Persistent anomaly number a adds 1;Otherwise it resets, and judges that bearing is in normal condition;Setting frequency of abnormity threshold value is A, when a is greater than A
When, illustrating that bearing is run in the state for being higher than initial threshold for a long time, feature has changed, it is in the initial failure stage, this
When initial failure alarm, staff should pay close attention to the bearing, be repaired or replaced.
Priority Applications (1)
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CN201910240990.9A CN110044622A (en) | 2019-03-28 | 2019-03-28 | A kind of rolling bearing initial failure prior-warning device and method |
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CN201910240990.9A CN110044622A (en) | 2019-03-28 | 2019-03-28 | A kind of rolling bearing initial failure prior-warning device and method |
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4007630A (en) * | 1974-07-12 | 1977-02-15 | Nippon Seiko K.K. | Device for detecting damage on rotators |
CN204988730U (en) * | 2015-09-29 | 2016-01-20 | 中南大学 | Bearing failure diagnosis of line portion laboratory bench is walked in track traffic |
CN205067090U (en) * | 2015-11-11 | 2016-03-02 | 内蒙古科技大学 | Antifriction bearing fault detection and diagnostic system |
CN106289774A (en) * | 2016-07-26 | 2017-01-04 | 北京工业大学 | A kind of rolling bearing fault identification and trend forecasting method |
CN206818416U (en) * | 2016-07-21 | 2017-12-29 | 王朝阁 | A kind of rolling bearing fault simulated experiment platform for being easy to add load |
CN207007517U (en) * | 2017-07-21 | 2018-02-13 | 昆明电器科学研究所 | A kind of motor rolling bearing failure diagnosis system |
-
2019
- 2019-03-28 CN CN201910240990.9A patent/CN110044622A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4007630A (en) * | 1974-07-12 | 1977-02-15 | Nippon Seiko K.K. | Device for detecting damage on rotators |
CN204988730U (en) * | 2015-09-29 | 2016-01-20 | 中南大学 | Bearing failure diagnosis of line portion laboratory bench is walked in track traffic |
CN205067090U (en) * | 2015-11-11 | 2016-03-02 | 内蒙古科技大学 | Antifriction bearing fault detection and diagnostic system |
CN206818416U (en) * | 2016-07-21 | 2017-12-29 | 王朝阁 | A kind of rolling bearing fault simulated experiment platform for being easy to add load |
CN106289774A (en) * | 2016-07-26 | 2017-01-04 | 北京工业大学 | A kind of rolling bearing fault identification and trend forecasting method |
CN207007517U (en) * | 2017-07-21 | 2018-02-13 | 昆明电器科学研究所 | A kind of motor rolling bearing failure diagnosis system |
Non-Patent Citations (1)
Title |
---|
贾志明 等: "基于经验模态分解的滚动轴承早期故障预警研究", 《设备管理与维修》 * |
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Application publication date: 20190723 |
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