CN104732097B - The modification method of power spectrum in the strong lower railroad bridge identification of mode frequency of signal interference - Google Patents
The modification method of power spectrum in the strong lower railroad bridge identification of mode frequency of signal interference Download PDFInfo
- Publication number
- CN104732097B CN104732097B CN201510150755.4A CN201510150755A CN104732097B CN 104732097 B CN104732097 B CN 104732097B CN 201510150755 A CN201510150755 A CN 201510150755A CN 104732097 B CN104732097 B CN 104732097B
- Authority
- CN
- China
- Prior art keywords
- msub
- mrow
- frequency
- railroad bridge
- mfrac
- 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.)
- Expired - Fee Related
Links
- 238000001228 spectrum Methods 0.000 title claims abstract description 35
- 238000002715 modification method Methods 0.000 title claims abstract description 9
- 230000003595 spectral effect Effects 0.000 claims abstract description 29
- 238000000926 separation method Methods 0.000 claims abstract description 24
- 230000001133 acceleration Effects 0.000 claims abstract description 12
- 238000004458 analytical method Methods 0.000 claims abstract description 12
- 238000005259 measurement Methods 0.000 claims abstract description 7
- 238000010183 spectrum analysis Methods 0.000 claims abstract description 6
- 238000000034 method Methods 0.000 claims description 9
- 230000000694 effects Effects 0.000 abstract description 2
- 230000002411 adverse Effects 0.000 abstract 1
- 238000004891 communication Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009659 non-destructive testing Methods 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
Landscapes
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
- Train Traffic Observation, Control, And Security (AREA)
- Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
Abstract
The invention discloses a kind of modification method of power spectrum data in strong lower railroad bridge identification of mode frequency of signal interference.Acceleration transducer is arranged on railroad bridge, power spectrumanalysis is carried out to the time domain vibration signal that acceleration transducer is obtained, measured power spectral curve is obtained；Railroad bridge finite element analysis model is set up, action edge specificity analysis of going forward side by side obtains the theoretical modal frequency of railroad bridge, the frequency separation to be modified of measured power spectral curve is determined according to theoretical modal frequency；Data of the measured power spectral curve in frequency separation to be modified are modified using D S evidence theories, the actual measurement modal frequency of railroad bridge is identified according to the peak of power spectrum curve after amendment.After the present invention is modified to railroad bridge measured power modal data, the modal frequency of railroad bridge can be identified exactly, effectively overcomed the adverse effect that strong signal interference is caused to measured power modal data, will be widely used and promote.
Description
Technical field
It is particularly a kind of to be applied to the lower railway of strong signal interference the present invention relates to the field of non destructive testing of railroad bridge engineering
The modification method of power spectrum data in bridge identification of mode frequency.
Background technology
There may be than larger vibration when bullet train is run on railroad bridge, safety and bridge are run to bullet train
The influence of girder construction safety must be paid attention to.Therefore, vibration monitoring is carried out for railroad bridge, for ensureing railroad bridge fortune
Battalion's safety has important application value.The important content of railroad bridge vibration monitoring is to identify bridge modal frequency, is passed through
The vibrational state of the change reflection railroad bridge of modal frequency.The common method of bridge identification of mode frequency is based on power spectrum point
The peak picking method of analysis, i.e., install acceleration transducer in bridge structure, and structural vibration is gathered by acceleration transducer
Time-domain signal, then carries out power spectrumanalysis to vibration time-domain signal and obtains power spectrum curve, according to power spectrum curve in structure
The principle for occurring peak value at modal frequency can directly identify bridge modal frequency from power spectrum chart.Peak picking method is in public affairs
It is widely applied in the identification of mode frequency of road and bridge girder construction.
However, when railroad bridge recognizes modal frequency using peak picking method, there is the problem of strong signal is disturbed.This be by
A variety of instrument and communication apparatus are mounted with the line project of railroad bridge, to transmit relevant rolling stock service condition,
The information such as the instruction and order of travelling facility state and driving.When these instrument and communication apparatus can be to railway bridge vibration of beams
Significant high reject signal is produced in the signal of domain, causes do not only have the corresponding peak of bridge actual measurement modal frequency on power spectrum curve
Value, while also there is " puppet " peak value caused by all kinds of interference signals, " puppet " peak value has randomness caused by the latter.Therefore, by force
Interference signal can cause power spectrum chart more disorderly, it is impossible to the modal frequency of railroad bridge is directly determined according to spectrum peak.
The content of the invention
Goal of the invention：In order to overcome the deficiencies in the prior art, the present invention provides a kind of lower railway of strong signal interference
The modification method of power spectrum in bridge identification of mode frequency, for solving to exist when Peak Intensity Method recognizes the modal frequency of railroad bridge
More strong jamming causes power spectrum chart more disorderly, it is impossible to the modal frequency of railroad bridge is directly determined according to spectrum peak
Technical problem.
Technical scheme：To achieve the above object, the technical solution adopted by the present invention is：
The modification method of power spectrum in a kind of strong lower railroad bridge identification of mode frequency of signal interference, including order execution
Following steps：
Step 1: acceleration transducer is arranged on railroad bridge, the time domain vibration signal to measure railroad bridge；
Step 2: carrying out power spectrumanalysis to the time domain vibration signal that acceleration transducer is obtained, measured power spectrum is obtained
Curve；
Step 3: setting up railroad bridge finite element analysis model, action edge specificity analysis of going forward side by side obtains the reason of railroad bridge
By modal frequency fD；And according to theoretical modal frequency fDThe frequency separation to be modified for determining measured power spectral curve is [f1,f2],
Wherein, the lower limit f of frequency separation1=fD× 0.9, the higher limit f of frequency separation2=fD×1.1；
Step 4: the measured power spectral curve obtained using D-S evidence theory to step 2 is in frequency separation to be modified
[f1,f2] in data be modified；
Step 5: identifying the actual measurement modal frequency f of railroad bridge according to the peak of power spectrum curve after amendmentE。
Further, in the present invention, in step 2, one group of measured power spectral curve is obtained within every 10 minutes；In step 4,
The method of amendment is as follows：For in frequency separation [f1,f2] in frequency values fi, m1(fi)、m2(fi)、m3(fi)、m4(fi)、m5
(fi)、m6(fi) be respectively 1 small interior acquisition 6 groups of measured power spectral curves in respective frequencies value fiPower spectral value；According to following
(1) frequency values f in the hour is calculated to (5) formulaiCorresponding revised power spectral value M (fi)：
To frequency separation [f1,f2] in the corresponding measured power spectrum of all frequency values be modified as stated above, most
Revised power spectrum curve is obtained eventually.
Beneficial effect：Railroad bridge causes power spectrum chart more due to there is significant high reject signal in line project
It is disorderly, it is impossible to the modal frequency of railroad bridge is determined according to spectrum peak.The present invention is using D-S evidence theory to measured power
Modal data is modified, and can effectively suppress power spectral value caused by high reject signal, and greatly enlarged actual measurement modal frequency
Corresponding power spectral value, so as to accurately identify the modal frequency of railroad bridge.This method implements simple and convenient, can obtain
To being widely popularized and apply.
Brief description of the drawings
Fig. 1 wins the front view for closing bridge completely for Beijing-Shanghai express railway Nanjing in the embodiment of the present invention；
Fig. 2 is data of 6 groups of measured power spectral curves in frequency separation to be modified in the embodiment of the present invention；
Fig. 3 be the embodiment of the present invention in frequency separation to be modified revised power spectrum curve.
Embodiment
The present invention is further described below in conjunction with the accompanying drawings.
The modification method of power spectrum, this method in a kind of strong lower railroad bridge identification of mode frequency of signal interference of the present invention
Comprise the following steps：
(1) acceleration transducer is arranged on railroad bridge, the time domain vibration signal to measure railroad bridge；
(2) with 10 minutes for computation interval, power spectrumanalysis is carried out to the time domain vibration signal that acceleration transducer is obtained,
6 groups of measured power spectral curves can be obtained in 1 hour；
(3) railroad bridge finite element analysis model is set up, action edge specificity analysis of going forward side by side obtains the theoretical mould of railroad bridge
State frequency fD.According to theoretical modal frequency fDThe frequency separation to be modified for determining measured power spectral curve is [f1,f2], wherein, frequency
The interval lower limit f of rate1For f1=fD× 0.9, the higher limit f of frequency separation2For f2=fD×1.1。
(4) with 1 hour for computation interval, the 6 groups of measured power spectral curves obtained using D-S evidence theory to step (2)
In frequency separation [f to be modified1,f2] in data be modified：
(4a) sets fiFor frequency separation [f1,f2] in some frequency values, m1(fi)、m2(fi)、m3(fi)、m4(fi)、m5
(fi)、m6(fi) it is respectively respective frequencies f in 6 groups of measured power spectral curvesiPower spectral value, then revised power spectral value M
(fi) (T according to the following formula1(fi)、T2(fi)、T3(fi) and T4(fi) be results of intermediate calculations)：
(4b) is to frequency separation [f1,f2] in the corresponding measured power spectrum of all frequency values repaiied by step (4a)
Just, revised power spectrum curve is finally given.
(5) the actual measurement modal frequency f of railroad bridge is identified according to the peak of power spectrum curve after amendmentE。
Embodiment：
Exemplified by winning pass bridge identification of mode frequency completely by Beijing-Shanghai express railway Nanjing below, illustrate the specific implementation of the present invention
Journey：
(1) Nanjing wins the overall structure for closing bridge completely as shown in figure 1, a vertical acceleration is installed in position in bridge span
Sensor, the time domain vibration signal to measure railroad bridge.
(2) with 10 minutes for computation interval, power spectrumanalysis is carried out to the time domain vibration signal that acceleration transducer is obtained,
6 groups of measured power spectral curves can be obtained in 1 hour.
(3) set up Nanjing win completely close bridge finite element analysis model, action edge specificity analysis of going forward side by side (in the present embodiment to
The analysis result of single order vertical motion frequency is gone out).Calculating shows, wins the theoretical modal frequency for closing bridge single order vertical motion completely
fDFor 0.3280Hz, therefore, the frequency separation to be modified of measured power spectral curve is [0.2952Hz, 0.3608Hz].
(4) 6 groups of measured power spectral curves that step (2) is obtained are at frequency separation to be modified [0.2952Hz, 0.3608Hz]
Interior data are as shown in Figure 2.It can be seen that the power spectrum repeatedly recognized under strong signal interference is more disorderly, it is impossible to have
Effect determines bridge single order vertical motion frequency.
(5) the corresponding 6 groups of measured power modal datas of all frequency values in frequency separation [0.2952Hz, 0.3608Hz] are adopted
It is modified with D-S evidence theory, revised power spectrum curve is as shown in Figure 3.Can accurately it know from the peak in figure
Do not go out the practical frequency f of single order vertical motionEFor 0.3174Hz.Therefore, measured power modal data is entered using D-S evidence theory
Row amendment, can effectively suppress power spectral value caused by high reject signal, and the corresponding work(of greatly enlarged actual measurement modal frequency
Rate spectrum, this shows that this method is applied to this kind of structural modal frequency identification that there is strong signal interference of railroad bridge.
Described above is only the preferred embodiment of the present invention, it should be pointed out that：For the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (2)
1. the modification method of power spectrum in a kind of lower railroad bridge identification of mode frequency of strong signal interference, it is characterised in that：Including
The following steps that order is performed：
Step 1: acceleration transducer is arranged on railroad bridge, the time domain vibration signal to measure railroad bridge；
Step 2: carrying out power spectrumanalysis to the time domain vibration signal that acceleration transducer is obtained, measured power spectral curve is obtained；
Step 3: setting up railroad bridge finite element analysis model, action edge specificity analysis of going forward side by side obtains the theoretical mould of railroad bridge
State frequency fD；And according to theoretical modal frequency fDThe frequency separation to be modified for determining measured power spectral curve is [f1,f2], wherein,
The lower limit f of frequency separation1=fD× 0.9, the higher limit f of frequency separation2=fD×1.1；
Step 4: the measured power spectral curve obtained using D-S evidence theory to step 2 is in frequency separation [f to be modified1,f2]
Interior data are modified, and the method for amendment is as follows：For in frequency separation [f1,f2] in frequency values fi, m1(fi)、m2
(fi)、m3(fi)、m4(fi)、m5(fi)、m6(fi) it is respectively respective frequencies value in the 6 groups of measured power spectral curves obtained in 1 hour
fiPower spectral value；Frequency values f in the hour is calculated according to following (1) to (5) formulaiCorresponding revised power spectral value M
(fi)：
<mrow>
<msub>
<mi>T</mi>
<mn>1</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>m</mi>
<mn>1</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>&times;</mo>
<msub>
<mi>m</mi>
<mn>2</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mn>1</mn>
<mo>-</mo>
<msub>
<mi>m</mi>
<mn>1</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>&times;</mo>
<msub>
<mi>m</mi>
<mn>2</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<msub>
<mi>T</mi>
<mn>2</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>T</mi>
<mn>1</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>&times;</mo>
<msub>
<mi>m</mi>
<mn>3</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mn>1</mn>
<mo>-</mo>
<msub>
<mi>T</mi>
<mn>1</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>&times;</mo>
<msub>
<mi>m</mi>
<mn>3</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>2</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<msub>
<mi>T</mi>
<mn>3</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>T</mi>
<mn>2</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>&times;</mo>
<msub>
<mi>m</mi>
<mn>4</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mn>1</mn>
<mo>-</mo>
<msub>
<mi>T</mi>
<mn>2</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>&times;</mo>
<msub>
<mi>m</mi>
<mn>4</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>3</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<msub>
<mi>T</mi>
<mn>4</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>T</mi>
<mn>3</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>&times;</mo>
<msub>
<mi>m</mi>
<mn>5</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mn>1</mn>
<mo>-</mo>
<msub>
<mi>T</mi>
<mn>3</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>&times;</mo>
<msub>
<mi>m</mi>
<mn>5</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>4</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mi>M</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>T</mi>
<mn>4</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>&times;</mo>
<msub>
<mi>m</mi>
<mn>6</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mn>1</mn>
<mo>-</mo>
<msub>
<mi>T</mi>
<mn>4</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>&times;</mo>
<msub>
<mi>m</mi>
<mn>6</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>5</mn>
<mo>)</mo>
</mrow>
</mrow>
To frequency separation [f1,f2] in the corresponding measured power spectrum of all frequency values be modified as stated above, it is final
To revised power spectrum curve；
Step 5: identifying the actual measurement modal frequency f of railroad bridge according to the peak of power spectrum curve after amendmentE。
2. the modification method of power spectrum in the lower railroad bridge identification of mode frequency of strong signal interference according to claim 1,
It is characterized in that：In step 2, one group of measured power spectral curve is obtained within every 10 minutes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510150755.4A CN104732097B (en) | 2015-03-31 | 2015-03-31 | The modification method of power spectrum in the strong lower railroad bridge identification of mode frequency of signal interference |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510150755.4A CN104732097B (en) | 2015-03-31 | 2015-03-31 | The modification method of power spectrum in the strong lower railroad bridge identification of mode frequency of signal interference |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104732097A CN104732097A (en) | 2015-06-24 |
| CN104732097B true CN104732097B (en) | 2017-09-29 |
Family
ID=53455979
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510150755.4A Expired - Fee Related CN104732097B (en) | 2015-03-31 | 2015-03-31 | The modification method of power spectrum in the strong lower railroad bridge identification of mode frequency of signal interference |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104732097B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106570299A (en) * | 2016-11-14 | 2017-04-19 | 东南大学 | Method for determining vehicle-bridge resonance performance curves of high-speed railway steel truss arch bridges |
| CN109029711B (en) * | 2018-08-10 | 2020-12-08 | 中交基础设施养护集团有限公司 | Dynamic bridge structure multi-order frequency identification method |
| CN112014593B (en) * | 2019-05-28 | 2022-05-17 | 浙江德盛铁路器材股份有限公司 | Device and method for monitoring and evaluating quality condition of railway track basic equipment |
| CN113175987A (en) * | 2021-04-09 | 2021-07-27 | 东南大学 | Bridge dynamic characteristic abnormity early warning method considering environment temperature variation |
| CN114112006B (en) * | 2021-11-26 | 2024-08-16 | 中科传启（苏州）科技有限公司 | Noise monitoring method and device and electronic equipment |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102128788A (en) * | 2010-12-21 | 2011-07-20 | 东南大学 | Improved natural excitation technology-based steel framework damage diagnosis method |
| CN102567630B (en) * | 2011-12-20 | 2015-01-28 | 东南大学 | Method for determining wind-induced vibrating response of long-span bridge structure |
-
2015
- 2015-03-31 CN CN201510150755.4A patent/CN104732097B/en not_active Expired - Fee Related
Non-Patent Citations (2)
| Title |
|---|
| 基于蛇形机器人多传感器数据融合的缆索缺陷自动检测方法;魏武，等.;《公路交通科技》;20111231;第28卷(第12期);参见第2.1-第2.3节 * |
| 高桩码头模态参数识别技术研究与有限元模型修正;韩阳;《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》;20130415(第04期);参见第3.1-3.3节，第五章 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104732097A (en) | 2015-06-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104732097B (en) | The modification method of power spectrum in the strong lower railroad bridge identification of mode frequency of signal interference | |
| Li et al. | Improvements in axle box acceleration measurements for the detection of light squats in railway infrastructure | |
| CN105092467B (en) | A kind of quick monitoring device of high-speed railway wheel tread flat and method | |
| CN107650945A (en) | A kind of recognition methods of wheel polygon and its device based on vertical wheel rail force | |
| CN104008644B (en) | A kind of traffic noise on urban roads measuring method based on Gradient Descent | |
| CN105923014B (en) | A kind of track transition Amplitude Estimation method based on evidential reasoning rule | |
| CN105976449A (en) | Remote automatic damage assessment and collision detection method and system for vehicle | |
| CN102072789A (en) | Method for continuously processing wheel-track force of track vehicle by means of ground test | |
| CN104006978A (en) | Method for indirectly measuring acting force between railway vehicle wheel tracks | |
| CN106379376A (en) | on-line rail state monitoring method based on vibration and positioning monitoring | |
| CN103994817A (en) | Vibration source identification method based on long-distance optical fiber frequent occurring events | |
| CN106441895A (en) | Train bearing rail edge signal impact component extraction method | |
| CN103808801A (en) | Real-time detection method for high-speed rail injury based on vibration and audio composite signals | |
| CN103163215A (en) | Pulse eddy current detection method and device of fatigue crack of vibrating screen for large mine | |
| CN104063543A (en) | Wheel-rail combination roughness identification method for rail traffic | |
| CN107885927A (en) | A kind of railroad bridge operation state method for early warning | |
| CN106052743A (en) | Method for evaluating effects on frequency response functions by transducer quality | |
| CN107167233A (en) | The assessment method that a kind of rail traffic vehicles wheel is repaiied to Xuan | |
| CN107784182B (en) | Power transmission tower settlement identification method based on modal analysis | |
| CN102998133A (en) | Energy damage identification method based on quasi-distributed acceleration data | |
| CN106570299A (en) | Method for determining vehicle-bridge resonance performance curves of high-speed railway steel truss arch bridges | |
| Xie et al. | Parameter identification of wheel polygonization based on effective signal extraction and inertial principle | |
| CN205262744U (en) | Train wheel pair bearing trouble transient state characteristic detection device based on parameterization doppler transient state model | |
| CN105404708A (en) | Actually measured acceleration-based outside period motivation and evaluation method for long-span bridge structures | |
| CN202368608U (en) | Track detection system based on operating vehicles |
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 | ||
| 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: 20170929 |