CN105468879B - method and system for processing vibration data - Google Patents
method and system for processing vibration data Download PDFInfo
- Publication number
- CN105468879B CN105468879B CN201610020394.6A CN201610020394A CN105468879B CN 105468879 B CN105468879 B CN 105468879B CN 201610020394 A CN201610020394 A CN 201610020394A CN 105468879 B CN105468879 B CN 105468879B
- Authority
- CN
- China
- Prior art keywords
- data
- vibration
- analysis
- vibration data
- test point
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000012545 processing Methods 0.000 title claims abstract description 28
- 238000004458 analytical method Methods 0.000 claims abstract description 92
- 238000012360 testing method Methods 0.000 claims abstract description 66
- 238000007405 data analysis Methods 0.000 claims abstract description 27
- 238000006243 chemical reaction Methods 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 13
- 238000003672 processing method Methods 0.000 claims description 4
- 239000012141 concentrate Substances 0.000 abstract description 3
- 238000003745 diagnosis Methods 0.000 abstract description 3
- 230000009467 reduction Effects 0.000 abstract description 3
- 238000012805 post-processing Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 5
- 238000004519 manufacturing process Methods 0.000 description 5
- 238000004422 calculation algorithm Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
Abstract
The present disclosure provides a method and system for processing vibration data, the method comprising: collecting vibration data of at least one test point on equipment, and storing all the vibration data of each test point in a single-channel mode; performing data analysis on the vibration data of each single channel to obtain an analysis result of a certain test point under the characteristic frequency; and performing index operation on the analysis result to obtain a vibration characteristic value. The method and the device realize analysis and post-processing of the multi-channel vibration data of the test points according to related data requirements by utilizing the efficient computing performance of the computer. Relevant test analysts are reduced, so that the test analysts can concentrate on fault location and fault diagnosis of the vibration problem and relevant vibration and noise reduction work.
Description
Technical Field
The present disclosure relates generally to the field of data processing technology, and more particularly, to a method and system for processing vibration data.
Background
in the operation of a machine having a high rotation speed and a high load, problems due to vibration are increasing, and attention is paid to safe production due to the vibration. In the safety production process of an enterprise, a mechanical system is generally required to be monitored in a vibration mode so as to ensure the safety of production, manufacturing and testing. In the vibration monitoring process, the vibration data volume is often extremely large, so that the related data statistical analysis work is redundant and complicated, and a great deal of time and energy are consumed in the programmed data extracting and data interpretation process.
At present, in the process of enterprise production and test, a plurality of vibration sensors, vibration data acquisition devices and vibration data analysis software at home and abroad are introduced, including B & K, Dewetron and LMS, and domestic data acquisition devices include Yiheng, Donghua and the like. The related vibration analysis software introduced generally provides only highly versatile signal analysis methods because of the versatility, and these related methods are sufficient when the vibration analysis is just established. Along with the accumulation of experience of related industries on vibration tests, understanding on vibration of a mechanical system is more and more deep, and higher demands are made on analysis parameters, analysis methods and expression forms of vibration data of the vibration data.
The existing test analysis software provides functions of vibration storage, format conversion, Fast Fourier Transform (FFT) and the like, but cannot realize the functions of sectional analysis of a typical mechanical running state, extracting a vibration value under a corresponding characteristic frequency and forming a corresponding data report. These functions often require significant time and effort from the associated vibration analyst.
Therefore, a need exists for a method and system for processing vibration data.
the above information disclosed in this background section is only for enhancement of understanding of the background of the disclosure and therefore it may contain information that does not constitute prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
The present disclosure provides a method and a system for processing vibration data, so as to solve the technical problem in the prior art that a large amount of time is consumed in the process of processing vibration data.
additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.
according to an aspect of the present disclosure, there is provided a method of processing vibration data, comprising:
Collecting vibration data of at least one test point on equipment, and storing all the vibration data of each test point in a single-channel mode;
Performing data analysis on the vibration data of each single channel to obtain an analysis result of a certain test point under the characteristic frequency;
And performing index operation on the analysis result to obtain a vibration characteristic value.
In an embodiment of the present disclosure, after collecting the vibration data and before performing data analysis, the processing method further includes:
And carrying out format conversion on the vibration data to obtain vibration data in a general format, and storing the vibration data in the general format as original data.
in one embodiment of the present disclosure, further comprising:
And acquiring the vibration data of the full time process of the certain test point, and storing an analysis result obtained by data analysis as the vibration data of the full time process.
In one embodiment of the present disclosure, further comprising:
and acquiring the running state information of the equipment, extracting starting and stopping time for signal analysis according to the state information, and performing data analysis on the vibration data by combining the starting and stopping time to obtain the vibration characteristic values of the equipment in different states.
In one embodiment of the present disclosure, performing data analysis on the vibration data includes:
And respectively carrying out time domain analysis, frequency domain analysis and time-frequency analysis of a full time course on the vibration data.
According to an aspect of the present disclosure, the present disclosure also provides a system for processing vibration data, comprising:
The data acquisition module is used for acquiring vibration data of at least one test point on the equipment and storing all the vibration data of each test point in a single-channel mode;
The analysis module is used for carrying out data analysis on the vibration data of each single channel to obtain an analysis result of a certain test point under the characteristic frequency; and
And the operation module is used for carrying out index operation on the analysis result to obtain a vibration characteristic value.
In one embodiment of the present disclosure, further comprising:
The format conversion module is used for carrying out format conversion on the vibration data to obtain vibration data in a general format; and
And the first storage module is used for storing the vibration data in the general format as original data.
In one embodiment of the present disclosure, further comprising:
And the second storage module is used for acquiring the vibration data of the full time history of the certain test point and storing an analysis result obtained by data analysis as the vibration data of the full time history.
In one embodiment of the present disclosure, further comprising:
The state acquisition module is used for acquiring the state information of the equipment operation and extracting the start-stop time for signal analysis according to the state information; and
And the characteristic acquisition module is used for carrying out data analysis on the vibration data by combining the start-stop time to obtain the vibration characteristic values of the equipment in different states.
in an embodiment of the disclosure, the analysis module performs time-domain analysis, frequency-domain analysis, and time-frequency analysis of a full time history on the vibration data, respectively.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
By utilizing the high-efficiency computing performance of a computer, the vibration data of multiple test points and multiple channels are analyzed and post-processed according to related data requirements. Relevant test analysts are reduced, so that the test analysts can concentrate on fault location and fault diagnosis of the vibration problem and relevant vibration and noise reduction work.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
drawings
The above and other objects, features and advantages of the present disclosure will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.
Fig. 1-3 show a flow chart of a method of processing vibration data according to an example embodiment of the present disclosure.
Fig. 4 illustrates a schematic diagram of storing vibration data according to a distinction of dates and states in an example embodiment according to the present disclosure.
Fig. 5 illustrates a graph of full time history vibration data analysis results in accordance with an example embodiment of the present disclosure.
FIG. 6 illustrates a graph of a spectrum of a data segment with a vibration anomaly in accordance with an example embodiment of the present disclosure.
Fig. 7-11 illustrate data representations of analysis results at respective frequencies for various test points on different dates according to example embodiments of the present disclosure.
Fig. 12 is a diagram illustrating a trend of test point analysis results according to an exemplary embodiment of the present disclosure.
Fig. 13 illustrates a correlation analysis contrast graph of analysis results with parameters according to an example embodiment of the present disclosure.
Fig. 14 shows a data processing flowchart disclosed in the present embodiment.
FIG. 15 shows a schematic diagram of a system for processing vibration data according to an example embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted.
furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known structures, methods, devices, implementations, materials, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.
Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
Example one
Fig. 1, 2 and 3 show a flowchart of a method for processing vibration data according to an exemplary embodiment of the present disclosure, which may be used to monitor the vibration condition of a device, obtain vibration data, and further perform computer programming on the collected vibration data according to a general analysis idea of vibration analysis.
As shown in fig. 1, in step S11, vibration data of at least one test point on the device is collected and stored in a single channel for all vibration data of each test point.
in step S12, data analysis is performed on the vibration data of each single channel to obtain an analysis result of a certain test point at the characteristic frequency.
in step S13, an index operation is performed on the analysis result to obtain a vibration characteristic value. The index operation comprises the steps of obtaining the maximum value, the minimum value, the average value, the effective value and the like of the analysis result.
The method integrates an effective vibration index calculation method in an automatic processing algorithm by establishing an algorithm flow for automatically processing vibration data, and is suitable for vibration data processing of big data.
As shown in fig. 2, in this embodiment, after the step S11 collects the vibration data and before the step S12 performs data analysis, the processing method further includes:
Step S14: and carrying out format conversion on the vibration data to obtain vibration data in a general format, and storing the vibration data in the general format as original data.
In this embodiment, the vibration data of the corresponding test points are collected by the sensors disposed at the respective test points, and all the vibration data are divided according to the test points and stored in a single-channel manner. Each single channel stores data of the full time history of the test point, and because the format of the acquired vibration data can be of multiple different types, the vibration data needs to be subjected to format conversion, the vibration data in each channel is converted into a uniform universal format, and generally, the vibration data is uniformly converted into decimal data for facilitating subsequent calculation. The full time history refers to the collection and analysis of vibration data of a certain test point at different times, and the specific time needs to be set according to actual conditions.
In addition, referring to fig. 2, after the step S11 of collecting vibration data of a test point in a full time history and obtaining an analysis result in step S12, the method further includes:
Step S15: and storing the analysis result obtained by data analysis as vibration data of a full time course.
In this embodiment, after obtaining the vibration data in the common format through format conversion, the data analysis method performs relevant data analysis on the vibration data in each single channel according to the set state time point, where the data analysis method includes: and respectively carrying out time domain analysis, frequency domain analysis and time frequency analysis of the full time process on the vibration data. In this embodiment, an FFT analysis may be performed on a typical characteristic frequency included in the vibration data at the current state time to obtain an analysis result of the test point at the characteristic frequency.
As shown in fig. 3, the method, while analyzing and processing the vibration data, further includes recording the operation status information and analyzing the data according to the status information to obtain the vibration characteristic values in different states
As shown in fig. 3, in step S21, status information of the device operation is acquired.
In step S22, a start-stop time for signal analysis is extracted from the state information.
In step S23, data analysis is performed on the vibration data of each single channel.
In step S24, the vibration data is subjected to data analysis according to the start and end times, and vibration characteristic values of the device in different states are obtained.
In step S25, the vibration feature values are organized and managed.
It should be noted that fig. 1-3 are merely schematic illustrations of processes included in methods according to example embodiments of the present disclosure, and are not intended to be limiting. It will be readily appreciated that the processes shown in fig. 1-3 are not intended to indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
in order to analyze the vibration according to a specific vibration problem, it is necessary to compare different states of data according to the operation state of the device, and the obtained analysis results are shown in table 1 below. Table 1 shows vibration characteristic values of the apparatus in different states at a certain test time (20141027).
as can be seen from table 1, the vibration data collected for different test points are different, for example, X, Y, Z vibration data are collected and processed for test point A, B, C, F, G, and only Y and Z vibration data are summed for test point D, E, H, I, that is, the vibration data of different orientations are collected and subsequently processed and analyzed for different test points according to specific situations.
TABLE 1
And organizing and managing the vibration data in the universal format according to the date of the vibration test, namely storing the vibration data of each test point according to the date and time, storing the vibration data according to the starting and ending time of data signal analysis, and backing up typical data so as to perform supplementary analysis subsequently according to the needs. As shown in fig. 4, each file stores vibration data of a corresponding date, and is further distinguished according to the vibration data of different states of the same date, and the data storage manner of the distinguishing stages and states is very convenient for subsequent data processing and analysis, for example, the data storage manner currently comprises vibration data of dates 20150706, 20150707, 20150709, 20150724, 20151027 and 20151107, wherein the data of dates 20150707 and 20150709 are further distinguished into two states, namely, 20150707f1 and 20150707f2, 20150709f1 and 20150709f 2.
If the vibration data in the universal format is subjected to time domain analysis, frequency domain analysis and time-frequency analysis of the full time course. Fig. 5 is a schematic diagram showing the analysis result of the vibration data of the full time history, and it can be seen from fig. 5 that the vibration data at one moment is abnormal in the range of 0 to 50s at the time point. For the case that the vibration characteristic value at a certain vibration frequency in a certain test point in table 1 exceeds the limit, the calculation analysis program will record the vibration frequency map at the time point of the test point to facilitate further analysis of the signal, as shown in fig. 6 below, as can be seen from fig. 6, the vibration data recorded in 20141027 is the frequency spectrum of the test point a at the frequency of 533Hz, where a more obvious abnormal vibration condition occurs.
meanwhile, the data of the analysis results shown in table 1 are stored in Excel, and the organization form can facilitate the processing of the results according to the time history. As shown in fig. 7-11, the test points shown with dates 20141027, 20141107, 20150630, 20150706, and 20150724, respectively, analyze the results at the corresponding frequencies, thereby forming a complete database for a particular test device, and store the data by date, which is convenient for the test analyst to review the data at any time.
For the database shown in fig. 7-11, the analyst can select the relevant parameters to plot and express the vibration data in a certain state according to the date, so as to analyze the variation trend of the vibration to know the operation condition of the equipment, as shown in fig. 12. The effect of certain plant operating parameters on vibration can also be analyzed from the vibration changes over the full time course, as shown in FIG. 13 below.
it should be noted that fig. 12 and 13 are data obtained by analyzing actual signals by using algorithms, and these two cases provide security tests for test pieces. The algorithm of the patent can obtain data required by analysis in practice, and is convenient for analysis and attention focusing in the fault location and elimination process.
Based on the above, fig. 14 shows a data processing flowchart disclosed in the present embodiment, which roughly includes three parts, namely data input, data processing, and data result.
The first part, data input stage, collects the vibration data of each test point of the equipment and the running state information of the equipment.
a second part, a data processing stage, in which only data processing of two channels is shown in fig. 14, before data analysis, format conversion is performed on the vibration data to obtain vibration data in a general format, and then time domain analysis, frequency domain analysis and time-frequency analysis are performed; and the vibration data of the other channel is subjected to time domain analysis, frequency domain analysis and time-frequency analysis in combination with the signal analysis start-stop time obtained based on the equipment operation state information.
And a third part, a data result stage, which is used for storing the vibration data in the general format after format conversion, also comprises the steps of storing the analysis result of the vibration data of the full time history obtained by the first channel, storing the vibration data of the equipment in different states obtained by the second channel and further organizing and managing the vibration characteristic value. Organized data management facilitates further expression of results, such as trend analysis that can be tracked by date.
In summary, the automated processing method for vibration data provided by the present disclosure realizes analysis and post-processing of vibration data of multiple test points and multiple channels according to related data requirements by using the efficient computing performance of a computer. The method has the functions of automatic search and automatic report, and saves redundant labor time. Meanwhile, experimental data are processed by a computer, so that the experimental data are more objective and reliable compared with manual processing. The method can reduce the number of required related test analysts, liberate manpower, and enable the test analysts to concentrate on fault location and fault diagnosis of vibration problems and related vibration and noise reduction work.
Example two
Fig. 15 shows a system for processing vibration data according to an example embodiment of the present disclosure, the system 100 comprising: the system comprises a data acquisition module 110, an analysis module 120, an operation module 130, a format conversion module 140, a first storage module 150, a second storage module 160, a state acquisition module 170 and a feature acquisition module 180.
The data acquisition module 110 is used for acquiring vibration data of at least one test point on the device and storing all vibration data of each test point in a single channel form. In this embodiment, the data acquisition module 110 is arranged on each test point of the device, where vibration condition needs to be monitored, to obtain vibration data.
the format conversion module 140 is configured to perform format conversion on the vibration data after the data acquisition module 110 acquires the vibration data of each test point of the device, so as to obtain vibration data in a general format. The first storage module 150 is configured to store the vibration data in the general format as original data, and the storage analysis module 120 is configured to perform data analysis on the vibration data of each single channel to obtain an analysis result of a certain test point under the characteristic frequency. The analysis module 120 performs time domain analysis, frequency domain analysis, and time-frequency analysis of the full time history on the vibration data. The second storage module 160 is configured to collect vibration data of a full time history for a certain test point, and store an analysis result obtained by analyzing the vibration data of the full time history as the vibration data of the full time history. The operation module 130 is configured to perform index operation on the analysis result to obtain a vibration characteristic value, wherein the operation module 130 performs index operation on the analysis result to obtain a maximum value, a minimum value, an average value, and an effective value of the analysis result.
the state obtaining module 170 is configured to obtain state information of the device operation, and extract a start-stop time for performing signal analysis according to the state information. Then, the characteristic obtaining module 180 is configured to perform data analysis on the vibration data in combination with the start-stop time to obtain vibration characteristic values of the device in different states.
The specific operation flow of each module in the system is described in the first embodiment, and the same technical effect can be achieved, which is not described herein again.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
Exemplary embodiments of the present disclosure are specifically illustrated and described above. It is to be understood that the present disclosure is not limited to the precise arrangements, instrumentalities, or instrumentalities described herein; on the contrary, the disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (6)
1. a method of processing vibration data, comprising:
collecting vibration data of at least one test point on equipment, and storing all the vibration data of each test point in a single-channel mode;
performing data analysis on the vibration data of each single channel to obtain an analysis result obtained by performing time domain analysis, frequency domain analysis and time-frequency analysis on a full-time course of a certain test point under a characteristic frequency;
Performing index operation on the analysis result to obtain a vibration characteristic value;
Further comprising:
And acquiring the running state information of the equipment, extracting starting and stopping time for signal analysis according to the state information, and performing data analysis on the vibration data by combining the starting and stopping time to obtain the vibration characteristic values of the equipment in different states.
2. The method of claim 1, wherein after collecting the vibration data and before performing data analysis, the processing method further comprises:
And carrying out format conversion on the vibration data to obtain vibration data in a general format, and storing the vibration data in the general format as original data.
3. The method of claim 1, further comprising:
and acquiring vibration data of the full time process for the certain test point, and storing an analysis result obtained by data analysis as data obtained by vibration analysis of the full time process.
4. a system for processing vibration data, comprising:
The data acquisition module is used for acquiring vibration data of at least one test point on the equipment and storing all the vibration data of each test point in a single-channel mode;
The analysis module is used for carrying out data analysis on the vibration data of each single channel to obtain an analysis result obtained by carrying out time domain analysis, frequency domain analysis and time frequency analysis on a full time process of a certain test point under a characteristic frequency; and
the operation module is used for carrying out index operation on the analysis result to obtain a vibration characteristic value;
The state acquisition module is used for acquiring the state information of the equipment operation and extracting the start-stop time for signal analysis according to the state information; and
and the characteristic acquisition module is used for carrying out data analysis on the vibration data by combining the start-stop time to obtain the vibration characteristic values of the equipment in different states.
5. the system of claim 4, further comprising:
The format conversion module is used for carrying out format conversion on the vibration data to obtain vibration data in a general format; and
and the first storage module is used for storing the vibration data in the general format as original data.
6. the system of claim 4, further comprising:
And the second storage module is used for acquiring the vibration data of the full time history of the certain test point and storing an analysis result obtained by analyzing the data as the data obtained by vibration analysis of the full time history.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610020394.6A CN105468879B (en) | 2016-01-13 | 2016-01-13 | method and system for processing vibration data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610020394.6A CN105468879B (en) | 2016-01-13 | 2016-01-13 | method and system for processing vibration data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105468879A CN105468879A (en) | 2016-04-06 |
| CN105468879B true CN105468879B (en) | 2019-12-10 |
Family
ID=55606574
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610020394.6A Active CN105468879B (en) | 2016-01-13 | 2016-01-13 | method and system for processing vibration data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105468879B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108692805A (en) * | 2018-05-29 | 2018-10-23 | 中国航发湖南动力机械研究所 | The processing method and system of vibration signal |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1361480A (en) * | 2002-01-18 | 2002-07-31 | 武汉武水电力有限公司 | Vibration throw parameter monitoring and analyzing method for water power set |
| CN101038239A (en) * | 2007-02-02 | 2007-09-19 | 浙江大学 | Device for detecting engine condition based on pure vibration signal and method thereof |
| CN101504309A (en) * | 2009-02-09 | 2009-08-12 | 郭军君 | Analysis method for reciprocating mechanical vibration signal |
| CN201311360Y (en) * | 2008-06-20 | 2009-09-16 | 四川恒达电子科技有限公司 | Vibrating online monitoring failure diagnostic device |
| CN103323274A (en) * | 2013-05-24 | 2013-09-25 | 上海交通大学 | Rotating machinery condition monitoring and fault diagnosing system and method |
-
2016
- 2016-01-13 CN CN201610020394.6A patent/CN105468879B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1361480A (en) * | 2002-01-18 | 2002-07-31 | 武汉武水电力有限公司 | Vibration throw parameter monitoring and analyzing method for water power set |
| CN101038239A (en) * | 2007-02-02 | 2007-09-19 | 浙江大学 | Device for detecting engine condition based on pure vibration signal and method thereof |
| CN201311360Y (en) * | 2008-06-20 | 2009-09-16 | 四川恒达电子科技有限公司 | Vibrating online monitoring failure diagnostic device |
| CN101504309A (en) * | 2009-02-09 | 2009-08-12 | 郭军君 | Analysis method for reciprocating mechanical vibration signal |
| CN103323274A (en) * | 2013-05-24 | 2013-09-25 | 上海交通大学 | Rotating machinery condition monitoring and fault diagnosing system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105468879A (en) | 2016-04-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Jiang et al. | An improved VMD with empirical mode decomposition and its application in incipient fault detection of rolling bearing | |
| Wang et al. | Intelligent fault diagnosis of rolling element bearings using sparse wavelet energy based on overcomplete DWT and basis pursuit | |
| Yan et al. | Fisher’s discriminant ratio based health indicator for locating informative frequency bands for machine performance degradation assessment | |
| Zhang et al. | A new feature extraction approach using improved symbolic aggregate approximation for machinery intelligent diagnosis | |
| Liu et al. | Bearing system health condition monitoring using a wavelet cross-spectrum analysis technique | |
| Guo et al. | An enhanced modulation signal bispectrum analysis for bearing fault detection based on non-Gaussian noise suppression | |
| Lu et al. | CEEMD-assisted bearing degradation assessment using tight clustering | |
| CN103941722A (en) | Method monitoring and diagnosing equipment failure through component characteristic frequency multiplication amplitude trend | |
| CN113537328A (en) | Rotary machine fault diagnosis method and device based on deep learning | |
| Mohammed et al. | Fault diagnosis of rotating machine based on audio signal recognition system: an efficient approach | |
| He et al. | Intelligent Fault Analysis With AIOps Technology | |
| CN105468879B (en) | method and system for processing vibration data | |
| Chen et al. | Image feature extraction based on HOG and its application to fault diagnosis for rotating machinery | |
| CN116699400A (en) | Generator rotor short-circuit fault monitoring system, method and readable storage medium | |
| CN116108376A (en) | Monitoring system and method for preventing electricity stealing, electronic equipment and medium | |
| Montalvo et al. | Resolving mode mixing in boiling water reactors instability analysis using variational mode decomposition | |
| WO2017092372A1 (en) | Cep engine-based substation operation monitoring signal normalization processing method | |
| Duan et al. | A hybrid approach of SAX and bitmap for machinery fault diagnosis | |
| JP2018190366A (en) | Retrieval device, retrieval method and retrieval program | |
| CN110321425B (en) | Method and device for judging defect type of power grid | |
| US11403203B2 (en) | Utilizing application performance management automatic discovery data for plugin priority | |
| Xue et al. | Structural fault diagnosis of rotating machinery based on distinctive frequency components and support vector machines | |
| CN111539539A (en) | Method and device for detecting sudden change of running mode of data center power environment equipment | |
| Lorenz et al. | Vibration Data Analysis for Fault Detection in Manufacturing Systems-A Systematic Literature Review | |
| Mithu et al. | Feature classification for control system devices |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP03 | Change of name, title or address |
Address after: Dong Jiaduan 412002 in Hunan province Zhuzhou city Lusong District Patentee after: AECC HUNAN AVIATION POWERPLANT Research Institute Country or region after: China Address before: Dong Jiaduan 412002 in Hunan province Zhuzhou city Lusong District Patentee before: CHINA AVIATION POWER MACHINERY INSTITUTE Country or region before: China |
|
| CP03 | Change of name, title or address |