CN114239637A - Equipment vibration real-time analysis health diagnosis system - Google Patents
Equipment vibration real-time analysis health diagnosis system Download PDFInfo
- Publication number
- CN114239637A CN114239637A CN202111293139.6A CN202111293139A CN114239637A CN 114239637 A CN114239637 A CN 114239637A CN 202111293139 A CN202111293139 A CN 202111293139A CN 114239637 A CN114239637 A CN 114239637A
- Authority
- CN
- China
- Prior art keywords
- equipment
- data
- vibration
- filter
- electricity
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003745 diagnosis Methods 0.000 title claims abstract description 13
- 230000036541 health Effects 0.000 title claims abstract description 12
- 238000010223 real-time analysis Methods 0.000 title claims abstract description 10
- 238000007405 data analysis Methods 0.000 claims abstract description 16
- 238000013500 data storage Methods 0.000 claims abstract description 15
- 238000001914 filtration Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 8
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims 7
- 230000008901 benefit Effects 0.000 abstract description 6
- 238000012423 maintenance Methods 0.000 abstract description 4
- 238000004519 manufacturing process Methods 0.000 abstract description 2
- 238000004904 shortening Methods 0.000 abstract description 2
- 238000004458 analytical method Methods 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 8
- 238000001514 detection method Methods 0.000 description 7
- 238000001228 spectrum Methods 0.000 description 5
- 238000000034 method Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000000712 assembly Effects 0.000 description 1
- 238000000429 assembly Methods 0.000 description 1
- 239000000872 buffer Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000012447 hatching Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000010183 spectrum analysis Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/08—Feature extraction
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M7/00—Vibration-testing of structures; Shock-testing of structures
- G01M7/02—Vibration-testing by means of a shake table
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Artificial Intelligence (AREA)
- Signal Processing (AREA)
- General Engineering & Computer Science (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention provides a health diagnosis system for real-time analysis of equipment vibration, which comprises a vibration sensor, a data storage unit, a filter and an IIR filter. The real-time analysis health diagnosis system for the equipment vibration continuously monitors the running state of the equipment in real time, analyzes the time domain and the frequency domain of the vibration signal of the equipment at any time period through the data analysis equipment, can analyze the running trend of the equipment at the same time, predicts the residual life of equipment components through different intelligent learning algorithms, finally diagnoses the running state of the equipment through the relevant characteristics of the signal at any time period, determines the fault position and the fault type of the equipment, plays a great role in reducing maintenance cost, shortening maintenance period, reducing production cost, improving economic benefit and social benefit, and has important significance in maintaining safe running of the equipment and avoiding occurrence of huge economic loss and catastrophic accidents.
Description
Technical Field
The invention particularly discloses a health diagnosis system for real-time analysis of equipment vibration.
Background
The vibration analysis and diagnosis technology is used for diagnosing, predicting or preventing the faults of the electromechanical rotary equipment and evaluating the health condition of the equipment by analyzing the frequency components of vibration of each component of the electromechanical rotary equipment in an operating state.
The rotating assemblies of electromechanical rotary-type devices each have a particular frequency of vibration (characteristic frequency). And the magnitude of vibration at its characteristic frequency represents the operating condition or quality of the device. An increase in the magnitude of the vibration is directly indicative of a malfunction of a rotating component, such as a bearing or gear. Therefore, accurate detection of the vibration time domain signal of the equipment and further processing and analyzing the vibration fault characteristic frequency component are effective means for health diagnosis of the equipment, wherein more technical means are an off-line vibration analysis technology and an on-line vibration detection technology.
Off-line vibration analysis technique: the off-line vibration analysis is designed in a mode that the detection equipment is installed in a portable and non-fixed mode, and the diagnosis equipment is analyzed by adopting a sequential structure of firstly collecting and then analyzing.
The off-line vibration analysis technology cannot detect or collect the vibration condition of the equipment in real time and is commonly used for inspection of the equipment state. The relative timeliness is poor, and the running state of the equipment cannot be timely and effectively detected.
The online vibration detection technology comprises the following steps: in the real vibration analysis technology, detection equipment is conventionally installed on the equipment, and the vibration value of the equipment is detected in real time in the operation process of the equipment. The data conventionally calculates the amplitude or vibration speed of the vibration, and when the specified detection data exceeds a certain magnitude, a fault signal is sent out for protecting equipment.
The online vibration detection technology does not have real-time spectrum analysis or long-time domain signal acquisition and storage, and the problem that the time length is limited by data quantity exists when the data is detected in the period of the starting process or the shutdown process of the equipment.
Disclosure of Invention
In view of the above-mentioned defects or shortcomings in the prior art, the present application aims to provide a health diagnosis system for real-time analysis of device vibration, which comprises a vibration sensor, a data storage unit, a filter and an IIR filter, wherein the vibration sensor is electrically connected with the data storage unit, the data storage unit is electrically connected with the filter, the filter is electrically connected with the IIR filter, the IIR filter is electrically connected with a data computing device, the data computing device is electrically connected with a data analysis device, the data analysis device is electrically connected with a computer terminal, and the computer terminal is electrically connected with a database.
Preferably, the data storage unit can store continuous and uninterrupted vibration signal data collected by the vibration sensor.
Preferably, the filter adopts a multi-order Butterworth filter, automatically matches a corresponding filtering gear according to the set acquisition parameters, and performs anti-aliasing filtering.
Preferably, the IIR filter may select a suitable IIR filter for filtering according to the actual operation condition of the device.
Preferably, the data calculation device calculates an amplitude domain parameter of the signal preprocessed by the IIR filter, where the amplitude domain parameter includes a pass frequency value, an average value, a peak-to-peak value, and a kurtosis index.
Preferably, the data analysis equipment can specifically analyze the equipment with abnormal working conditions, and the data analysis equipment can calculate the kurtosis, the intensity and the peak value of the vibration signal.
Preferably, the database can store the operation data and the fault data of the equipment through a computer terminal.
Has the advantages that:
1. the real-time analysis health diagnosis system for the equipment vibration continuously monitors the running state of the equipment in real time, analyzes the time domain and the frequency domain of the vibration signal of the equipment at any time period through the data analysis equipment, can analyze the running trend of the equipment at the same time, predicts the residual life of equipment components through different intelligent learning algorithms, finally diagnoses the running state of the equipment through the relevant characteristics of the signal at any time period, determines the fault position and the fault type of the equipment, plays a great role in reducing maintenance cost, shortening maintenance period, reducing production cost, improving economic benefit and social benefit, and has important significance in maintaining safe running of the equipment and avoiding occurrence of huge economic loss and catastrophic accidents.
2. The health diagnosis system for real-time analysis of the equipment vibration acquires continuous and uninterrupted vibration signal data through the vibration sensor, and buffers enough data volume through the data storage unit to ensure that time domain waveforms are continuous and uninterrupted, so that FFT calculation in any time period is performed through the data calculation equipment, spectrum or trend analysis in any time period is performed through the data analysis equipment, safe operation of the equipment is based on data, and meanwhile, a large amount of operation data and fault data can be accumulated for safe operation of the equipment by utilizing the computer terminal and the database respectively.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is a system block diagram of the architecture of the present invention;
fig. 2 is a schematic diagram of the workflow of the architecture of the present invention.
In the figure: 1. a vibration sensor; 2. a data storage unit; 3. a filter; 4. an IIR filter; 5. a data computing device; 6. a data analysis device; 7. a computer terminal; 8. a database.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
The drawings in the embodiments of the invention: the different types of hatching in the figures are not given the national standards, do not require the material of the elements, and distinguish between cross-sectional views of the elements in the figures.
Referring to fig. 1-2, a device vibration real-time analysis health diagnosis system includes a vibration sensor 1, a data storage unit 2, a filter 3 and an IIR filter 4, wherein the vibration sensor 1 is electrically connected to the data storage unit 2, the data storage unit 2 is electrically connected to the filter 3, the filter 3 is electrically connected to the IIR filter 4, the IIR filter 4 is electrically connected to a data computing device 5, the data computing device 5 is electrically connected to a data analysis device 6, the data analysis device 6 is electrically connected to a computer terminal 7, and the computer terminal 7 is electrically connected to a database 8.
The data storage unit 2 can store continuous and uninterrupted vibration signal data acquired by the vibration sensor 1.
The filter 3 adopts a multi-order Butterworth filter, automatically matches a corresponding filtering gear according to the set acquisition parameters, and performs anti-aliasing filtering.
The IIR filter 4 can select the appropriate IIR filter 4 to filter according to the actual operation condition of the equipment, the acquired vibration signals can be preprocessed through the IIR filter 4, noise reduction preprocessing is firstly performed on the acquired vibration signals due to the fact that the acquired vibration signals contain inevitable noise in frequency bands, interference of the noise on the signals is reduced, and the signal to noise ratio is improved.
The data calculation device 5 calculates amplitude domain parameters of the signal preprocessed by the IIR filter 4 to realize early warning of the working condition of the device and further judge whether the running state of the device is normal, wherein the amplitude domain parameters comprise a pass frequency value, an average value, a peak-peak value and kurtosis indexes.
The data analysis device 6 can specifically analyze equipment with abnormal working conditions, obtain fault characteristic frequency of the equipment by calculating an FFT (fast Fourier transform) frequency spectrum, a power spectrum, an envelope spectrum and a resonance demodulation spectrum of a vibration signal of the equipment, judge fault positions and fault types of the fault equipment, calculate kurtosis, intensity and peak values of the vibration signal, perform trend analysis on calculated related parameters, analyze theoretical working life of the equipment by performing trend analysis through the computer terminal 7, confirm the fault severity of the equipment and ensure safe operation of the equipment.
The database 8 can store the operation data and the fault data of the equipment through the computer terminal 7.
The working principle of the system is that vibration signals are acquired through the vibration sensor 1, the acquired vibration signals are stored through the data storage unit 2, the vibration signals stored in the data storage unit 2 can be called through the filter 3 and subjected to anti-aliasing filtering, the acquired vibration signals can be subjected to noise reduction and pre-filtering processing through the IIR filter 4, time domain parameter calculation can be performed on the processed vibration signals through the data calculation device 5, frequency domain and trend parameter calculation can be performed through the data analysis device 6, device fault analysis and device service life prediction can be performed on the devices through the computer terminal 7, and operation data and fault data of the devices are stored in the database 8.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by a person skilled in the art that the scope of the invention as referred to in the present application is not limited to the embodiments with a specific combination of the above-mentioned features, but also covers other embodiments with any combination of the above-mentioned features or their equivalents without departing from the inventive concept. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (7)
1. A health diagnosis system for real-time analysis of equipment vibration comprises a vibration sensor (1), a data storage unit (2), a filter (3) and an IIR filter (4), and is characterized in that: carry out the electricity between vibration sensor (1) and data memory cell (2), carry out the electricity between data memory cell (2) and the filter (3) and be connected, carry out the electricity between filter (3) and IIR filter (4) and be connected, IIR filter (4) electricity is connected with data computing equipment (5), data computing equipment (5) electricity is connected with data analysis equipment (6), data analysis equipment (6) electricity is connected with computer terminal (7), computer terminal (7) electricity is connected with database (8).
2. The system of claim 1, wherein the system comprises: the data storage unit (2) can store continuous and uninterrupted vibration signal data acquired by the vibration sensor (1).
3. The system of claim 1, wherein the system comprises: the filter (3) adopts a multi-order Butterworth filter, automatically matches corresponding filtering gears according to set acquisition parameters, and performs anti-aliasing filtering.
4. The system of claim 1, wherein the system comprises: the IIR filter (4) can select a proper IIR filter (4) for filtering according to the actual operation condition of the equipment.
5. The system of claim 1, wherein the system comprises: and the data calculation equipment (5) calculates amplitude domain parameters of the signal preprocessed by the IIR filter (4), wherein the amplitude domain parameters comprise a pass frequency value, an average value, a peak-to-peak value and a kurtosis index.
6. The system of claim 1, wherein the system comprises: the data analysis equipment (6) can specifically analyze the equipment with abnormal working conditions, and the data analysis equipment (6) can calculate the kurtosis, the intensity and the peak value of the vibration signal.
7. The system of claim 1, wherein the system comprises: the database (8) can store the operation data and the fault data of the equipment through the computer terminal (7).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111293139.6A CN114239637A (en) | 2021-11-03 | 2021-11-03 | Equipment vibration real-time analysis health diagnosis system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111293139.6A CN114239637A (en) | 2021-11-03 | 2021-11-03 | Equipment vibration real-time analysis health diagnosis system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114239637A true CN114239637A (en) | 2022-03-25 |
Family
ID=80743790
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111293139.6A Pending CN114239637A (en) | 2021-11-03 | 2021-11-03 | Equipment vibration real-time analysis health diagnosis system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114239637A (en) |
-
2021
- 2021-11-03 CN CN202111293139.6A patent/CN114239637A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Shanbr et al. | Detection of natural crack in wind turbine gearbox | |
| CN106197996A (en) | Offshore crane Fault Diagnosis of Gear Case device and method based on multivariate data | |
| CN110177017B (en) | Intelligent fault diagnosis system and diagnosis method for speed reducer | |
| CN113916531A (en) | Fault diagnosis and prediction system for on-line monitoring of vibration and oil of nuclear power gearbox | |
| Attoui et al. | Vibration-based bearing fault diagnosis by an integrated DWT-FFT approach and an adaptive neuro-fuzzy inference system | |
| CN112525534A (en) | Bearing and gear damage quantitative evaluation method based on acoustic emission technology | |
| He et al. | Bearing condition evaluation based on the shock pulse method and principal resonance analysis | |
| CN110657989A (en) | Method and system for monitoring vibration state of tobacco packaging unit | |
| CN114813124B (en) | Bearing fault monitoring method and device | |
| Jain et al. | A review on vibration signal analysis techniques used for detection of rolling element bearing defects | |
| CN117725531A (en) | Motor state monitoring system and method based on vibration monitoring | |
| CN116448835B (en) | Running gear state monitoring device and state detection method | |
| CN116537965B (en) | On-line monitoring and fault diagnosis device for diesel engine | |
| CN117330948A (en) | Online monitoring method and system for mechanical characteristics of circuit breaker | |
| CN116415185B (en) | Rolling bearing monitoring method, equipment and medium based on industrial Internet | |
| CN114239637A (en) | Equipment vibration real-time analysis health diagnosis system | |
| CN106586841A (en) | Method and system for monitoring running states of speed reducer of lifting equipment | |
| CN115655731A (en) | Diesel engine state monitoring method and device and storage medium | |
| CN112525337B (en) | Pretreatment method for vibration monitoring data of mechanical press | |
| CN113044723A (en) | State monitoring, analyzing and fault diagnosing integrated system for hoisting machinery | |
| Kumar et al. | Intelligent condition monitoring techniques for early fault diagnosis of rotating Machines-A review | |
| CN118482797B (en) | Gas turbine flowmeter fault identification method and system | |
| Dempsey et al. | Investigation of spur gear fatigue damage using wear debris | |
| Kulkarni et al. | Analysis of Vibration Signals of Rolling Element Bearings with Localized Defects | |
| Yousaf et al. | Review of Advanced Approaches and Vibration Signature Analysis for Fault Detection, Diagnosis, and Prognosis of Rolling Element Bearings |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |