CN206095635U - Rolling bearing fault diagnosis system - Google Patents
Rolling bearing fault diagnosis system Download PDFInfo
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- CN206095635U CN206095635U CN201620976946.6U CN201620976946U CN206095635U CN 206095635 U CN206095635 U CN 206095635U CN 201620976946 U CN201620976946 U CN 201620976946U CN 206095635 U CN206095635 U CN 206095635U
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Abstract
The utility model relates to a rolling bearing fault diagnosis system belongs to the failure diagnosis field. The utility model discloses a motor, transmission shaft, shaft coupling, test bearing, acceleration sensor, analog -to -digital conversion module, microcontroller, wiFi module, PC, test bearing passes through the transmission shaft, the shaft coupling links to each other with the motor, and acceleration sensor fixes on test bearing, and the acceleration sensor output is connected with analog -to -digital conversion module, and analog -to -digital conversion module passes through the SPI interface and is connected with microcontroller, and the PC is sent through the wiFi module to the data after microcontroller draws to combine the EEMD method to handle signal data analysis on the PC, realize the remote monitoring to antifriction bearing running state. The utility model has the advantages of the security performance is high, and transmission performance is good, and is fast, easy and simple to handle, strong adaptability.
Description
Technical field
This utility model is related to a kind of Diagnosing System for Detecting of Antifriction Bearings, belongs to fault diagnosis field.
Background technology
Rolling bearing is most widely used General Mechanical Parts in rotating machinery, property of its running status to rotating machinery
Can directly affect.As its running environment is severe, along with the increase of complicated in mechanical structure degree, easily it is damaged and causes event
Barrier is produced, and is caused serious economic loss, is even resulted in casualties.Diagnosis to bearing fault relies primarily on artificial experience,
Bearing running status is judged by itself or instrument.Monitoring, diagnosing instrument at this stage and system as stability is poor, be difficult to tie up
Shield, field wiring such as have difficulties at the limitation, can't obtain good application.Therefore, remote monitoring bearing operation becomes
Developing mainstream trend.
The method of rolling bearing fault diagnosis has a lot, and the most frequently used method for diagnosing faults is that the vibration to rolling bearing is believed
Number it is analyzed.The characteristics of Time-frequency Analysis are with its partial analysis non-stationary signal, is rapidly developed in recent years.It is conventional at present
Time frequency processing mode such as Wigner-Ville there is frequency；The time-frequency window of Short Time Fourier Transform is fixed not
Become, it is impossible to effectively reflect the abrupt information of non-stationary signal, time frequency resolution is not high；Though wavelet transformation is capable of achieving local feature ginseng
The extraction of amount, but need artificial selection Optimal wavelet bases；The advantage that EMD is analyzed to signal due to its self adaptation is extensive
It is applied to the fields such as fault diagnosis, but which is the problems such as deposit frequency alias, end effect.EEMD（Set empirical mode decomposition
ensemble empirical mode decomposition）It is a kind of new digital signal processing method, can be by complexity
Fault-signal is adaptive to be decomposed into a series of intrinsic mode function components, it is adaptable to the analysis of non-linear, non-stationary signal with
Process.EEMD methods inherit the adaptivity of EMD, also efficiently solve the problems, such as the modal overlap of EMD methods.
Utility model content
The purpose of this utility model is to provide a kind of Diagnosing System for Detecting of Antifriction Bearings, using EEMD methods to rolling bearing
Vibration signal be analyzed.
The technical solution of the utility model is：A kind of Diagnosing System for Detecting of Antifriction Bearings, including motor 1, power transmission shaft 2, connection
Axle device 3, test bearing 4, acceleration transducer 5, analog-to-digital conversion module 6, microcontroller 7, WiFi module 8, PC 9, the survey
Examination bearing 4 is connected with motor 1 by power transmission shaft 2, shaft coupling 3, and acceleration transducer 5 is fixed in test bearing 4, and acceleration is passed
5 outfan of sensor is converted to digital sampled signal by 6 analog sampling signal of analog-to-digital conversion module, by SPI interface by scene
Sampled digital signal sends into microcontroller 7, and the data after microcontroller 7 is extracted are sent to PC 9 by WiFi module 8, with reference to
EEMD methods are analyzed and processed to signal data on PC 9, realize the remote monitoring to rolling bearing running status.
Further, three acceleration transducers 5 are installed in the test bearing 4, are carried out bearing axial direction, radial direction and is hung down
Nogata to vibration signal sampling.
Further, 7 model STM32F429 type microcontroller of the microcontroller.
Further, analog-to-digital conversion module model ADS1256, has 8 passages, and each passage is integrated with low pass
Filtration module, programmable gain amplifier and resolution are up to the A/D converter of 24.Make system gather vibration signal when
Data become relatively reliable, and the analog portion of vibration signals collecting is simplified in hardware circuit design.
Further, the WiFi module compares other wireless using the WI-FI wireless communication modules based on 2.4G frequency ranges
Means of communication, such as infrared ray, bluetooth etc., the WI-FI wireless data transmission speed based on 2.4G frequency ranges are higher, penetrate,
Diffracting power is strong, guarantees the stable transmission of data in the serious industrial site of noise jamming.
Operation principle of the present utility model：With the vibration signal under industry spot rolling bearing running status to test number
According to, analog sampling signal is converted to by digital sampled signal by analog-to-digital conversion module, it is spot sampling is digital by SPI interface
Signal sends into microcontroller, and the data after microcontroller is extracted are sent to PC by WiFi module, and exist with reference to EEMD methods
Signal data is analyzed and processed on PC, realize the remote monitoring to rolling bearing running status.If bearing is in failure operation
State, system alarm remind field personnel to fix a breakdown in time, thereby guarantee that the normal operation of the equipment of industrial product.
The beneficial effects of the utility model are：This utility model has safe, and transmission performance is good, and speed is fast, operation
Simplicity, adaptable advantage.
Description of the drawings
Fig. 1 is structural representation of the present utility model；
Each label in figure：1- motors, 2- power transmission shafts, 3- shaft couplings, 4- test bearings, 5- acceleration transducers, 6- moduluses
Modular converter, 7- microcontrollers, 8-WiFi modules, 9-PC machines.
Specific embodiment
This utility model is described further with specific embodiment below in conjunction with the accompanying drawings.
Embodiment 1：As shown in figure 1, a kind of Diagnosing System for Detecting of Antifriction Bearings, including motor 1, power transmission shaft 2, shaft coupling 3,
Test bearing 4, acceleration transducer 5, analog-to-digital conversion module 6, microcontroller 7, WiFi module 8, PC 9, the test bearing
4 are connected with motor 1 by power transmission shaft 2, shaft coupling 3, and acceleration transducer 5 is fixed in test bearing 4, acceleration transducer 5
Outfan is converted to digital sampled signal by 6 analog sampling signal of analog-to-digital conversion module, by SPI interface by spot sampling number
Word signal sends into microcontroller 7, and the data after microcontroller 7 is extracted are sent to PC 9 by WiFi module 8, with reference to EEMD side
Method is analyzed and processed to signal data on PC 9, realizes the remote monitoring to rolling bearing running status.
Embodiment 2：Three acceleration transducers 5 are installed in the test bearing 4, are carried out bearing axial direction, radial direction and is hung down
Nogata to vibration signal sampling.
7 model STM32F429 type microcontroller of the microcontroller.
6 model ADS1256 of the analog-to-digital conversion module, has 8 passages, and each passage is integrated with low-pass filtering mould
Block, programmable gain amplifier and resolution are up to the A/D converter of 24.Make data of the system when vibration signal is gathered
Become relatively reliable, and the analog portion of vibration signals collecting is simplified in hardware circuit design.
The WiFi module compares other wireless communication means using the WI-FI wireless communication modules based on 2.4G frequency ranges,
Such as infrared ray, bluetooth etc., the WI-FI wireless data transmission speed based on 2.4G frequency ranges are higher, penetrate, diffracting power
By force, the stable transmission of data is guaranteed in the serious industrial site of noise jamming.
The course of work of the present utility model is as follows：Vibration signal data is gathered by acceleration transducer 5, modulus is transferred to
Analog sampling signal is converted to digital sampled signal by modular converter 6, and the data after conversion are defeated by microcontroller by SPI oral instructions
7.The data that microcontroller 7 pairs is received carry out calculating packing, transfer data to PC 9 by WiFi module 8.
After ADS1256 initial configurations, system start will start ADS1256 collection conversion and translation function, start with
20 seconds frequencies once start the data after gathering A/D conversions, and judge whether more than sample given threshold.Adopt more than rear stopping
Digitalized data is transferred to STM32F429 type microcontrollers by SPI, sends instruction by STM32F429 type microcontrollers by collection
Data are packed, Jing WI-FI wireless communication modules are sent to PC 9.
9 end assay surface of PC develops design using Visual Studio 2013.Main window includes data display
And data analysis component, data display unit include the time domain waveform of sampled data show and decimal number show, data analysiss
Analyze for the EEMD methods of sampled data part.Sampled data is decomposed by EEMD and obtains 3 IMF components, is sequentially displayed in and is
In analysis window on the right side of system interface.When the waveform of interface display is beyond the waveform of normal scope, system interface can be automatic
Report to the police, system alarm reminds field personnel to fix a breakdown in time, thereby guarantees that the normal operation of the equipment of industrial product.
Specific embodiment of the present utility model is explained in detail above in conjunction with accompanying drawing, but this utility model is not
It is limited to above-mentioned embodiment, in the ken that those of ordinary skill in the art possess, can be with without departing from this practicality
On the premise of new objective, various changes can be made.
Claims (5)
1. a kind of Diagnosing System for Detecting of Antifriction Bearings, it is characterised in that：Including motor（1）, power transmission shaft（2）, shaft coupling（3）, survey
Examination bearing（4）, acceleration transducer（5）, analog-to-digital conversion module（6）, microcontroller（7）, WiFi module（8）, PC（9）；
The test bearing（4）By power transmission shaft（2）, shaft coupling（3）With motor（1）It is connected, acceleration transducer（5）It is fixed on
Test bearing（4）On, acceleration transducer（5）Outfan and analog-to-digital conversion module（6）Connection, analog-to-digital conversion module（6）Pass through
SPI interface and microcontroller（7）Connection, microcontroller（7）Data after extraction pass through WiFi module（8）It is sent to PC（9）.
2. Diagnosing System for Detecting of Antifriction Bearings according to claim 1, it is characterised in that：The test bearing（4）Upper peace
Equipped with three acceleration transducers（5）, respectively to test bearing（4）Carry out the vibration signal of axial direction, radial direction and vertical direction
Sampling.
3. Diagnosing System for Detecting of Antifriction Bearings according to claim 1, it is characterised in that：The analog-to-digital conversion module（6）
Model ADS1256, has 8 passages, and each passage is integrated with low-pass filtering module, programmable gain amplifier and resolution
Rate is up to the A/D converter of 24.
4. Diagnosing System for Detecting of Antifriction Bearings according to claim 1, it is characterised in that：The microcontroller（7）Model
For STM32F429, for receiving and extracting digital signal.
5. Diagnosing System for Detecting of Antifriction Bearings according to claim 1, it is characterised in that：The WiFi module（8）Using
WI-FI wireless communication modules based on 2.4G frequency ranges.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620976946.6U CN206095635U (en) | 2016-08-30 | 2016-08-30 | Rolling bearing fault diagnosis system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620976946.6U CN206095635U (en) | 2016-08-30 | 2016-08-30 | Rolling bearing fault diagnosis system |
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| Publication Number | Publication Date |
|---|---|
| CN206095635U true CN206095635U (en) | 2017-04-12 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201620976946.6U Expired - Fee Related CN206095635U (en) | 2016-08-30 | 2016-08-30 | Rolling bearing fault diagnosis system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108593295A (en) * | 2018-04-23 | 2018-09-28 | 佛山市梅雨科技有限公司 | A kind of converter bearing monitoring device based on Internet of Things |
| CN109612727A (en) * | 2018-12-12 | 2019-04-12 | 中车株洲电机有限公司 | High-power electric locomotive traction motor bearing on-line vibration detection device |
-
2016
- 2016-08-30 CN CN201620976946.6U patent/CN206095635U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108593295A (en) * | 2018-04-23 | 2018-09-28 | 佛山市梅雨科技有限公司 | A kind of converter bearing monitoring device based on Internet of Things |
| CN109612727A (en) * | 2018-12-12 | 2019-04-12 | 中车株洲电机有限公司 | High-power electric locomotive traction motor bearing on-line vibration detection device |
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| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20170412 Termination date: 20180830 |