CN201636531U - Internal leakage fault diagnosis device for high-pressure heater based on acoustic emission detection - Google Patents
Internal leakage fault diagnosis device for high-pressure heater based on acoustic emission detection Download PDFInfo
- Publication number
- CN201636531U CN201636531U CN2009203520835U CN200920352083U CN201636531U CN 201636531 U CN201636531 U CN 201636531U CN 2009203520835 U CN2009203520835 U CN 2009203520835U CN 200920352083 U CN200920352083 U CN 200920352083U CN 201636531 U CN201636531 U CN 201636531U
- Authority
- CN
- China
- Prior art keywords
- acoustic emission
- pressure heater
- calibrate
- signal
- main control
- 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
Images
Landscapes
- Examining Or Testing Airtightness (AREA)
Abstract
The utility model discloses an internal leakage fault diagnosis device for a high-pressure heater based on acoustic emission detection, which comprises a main control unit, a signal processing unit and two acoustic emission sensors fixed on a shell of the high-pressure heater. The acoustic emission sensors are used for collecting acoustic emission signals generated when internal leakage is incurred on the high-pressure heater, converting the acoustic emission signals into electric signals, and transmitting the electric signals to the main control unit through the signal processing unit. The main control unit is used for carrying out spectrum analysis and leakage point positioning analysis on the electric signals, and determining leakage points according to the time difference of leakage sound transmitting to the two acoustic emission sensors. The internal leakage fault diagnosis device for the high-pressure heater based on acoustic emission detection has the characteristics of simple as well as compact structure, convenient operation, good using effect and high safety.
Description
Technical field
The utility model is mainly concerned with the heater field, refers in particular to a kind of high pressure heater internal leakage fault diagnosis device based on acoustic emission testing.
Background technique
The high-pressure heater internal leakage fault is one of thermal power plant's heat regenerative system major failure.If can carry out early stage on-line monitoring and diagnosis to leakage, the degree and the trend of leakage is observed and predicted in tracking, judges that in time height adds pipe leakage and leak position, can effectively prevent the expansion of accident on the one hand, can make power plant carry out repairing in advance on the other hand and prepare, reduce unnecessary economic loss.But,, therefore very high to the requirement of detection technique owing to high-pressure heater operates in the environment of High Temperature High Pressure.
The model utility content
The technical problems to be solved in the utility model just is: at the technical problem that prior art exists, the utility model provides a kind of simple and compact for structure, easy and simple to handle, using effect is good, Security is good high pressure heater internal leakage fault diagnosis device based on acoustic emission testing.
For solving the problems of the technologies described above, the utility model by the following technical solutions.
A kind of high pressure heater internal leakage fault diagnosis device based on acoustic emission testing, it is characterized in that: comprise main control unit, signal processing unit and be fixed in two calibrate AE sensors on the high-pressure heater shell, acoustic emission signal when described calibrate AE sensor is used for gathering high-pressure heater generation internal leakage, and be that electrical signal is after signal processing unit sends main control unit to this signal conversion, main control unit is used for above-said current signal is carried out frequency analysis and leak source positioning analysis, and determines leakage point according to the time difference that the acoustic emission signal of leaking reaches two calibrate AE sensors.
As further improvement of the utility model:
Described calibrate AE sensor is fixed on the high-pressure heater shell by waveguide rod.
Described two calibrate AE sensors are on the sustained height, leave distance L between described two calibrate AE sensors.
Described signal processing unit comprises preamplifier, and the sound signal that described calibrate AE sensor collects is converted to electrical signal after preamplifier sends main control unit to after amplifying processing.
Compared with prior art, advantage of the present utility model just is:
1, the utility model does not need to open the high-pressure heater shell in use, only needs the fixed sound emission sensor on the high-pressure heater shell, and the position of leakage also can be accurately located in the generation that detects inner piping leakage failure that just can be sensitive and accurate.Simultaneously, this device has very high sensitivity, can accurately detect heater leak source position at the leakage initial stage, and in time carry out breakdown maintenance, and whole apparatus structure is simple, easy operating;
2, the utility model adopts the acoustic emission Dynamic Non-Destruction Measurement, this is a kind of Dynamic Non-Destruction Measurement technology, this also is the fundamental difference of the utility model with other detection techniques, the utility model can be used in the high-pressure heater, with additive method be difficult to or situation that can't be approaching under detect, improved the Security and the real-time that detect greatly;
3, the utility model can carry out on-line fault diagnosis to high-pressure heater, can find leakage position early, has shortened power plant's repair time greatly.
Description of drawings
Fig. 1 is a frame structure schematic representation of the present utility model;
Fig. 2 is the structural representation of the utility model in specific embodiment;
Fig. 3 is the principle schematic of the utility model in application example;
Fig. 4 is the result curve schematic representation of the utility model correlation analysis in application example;
Schematic flow sheet when Fig. 5 is the utility model work.
Marginal data
1, heat exchange pipeline; 2, high-pressure heater shell; 3, waveguide rod; 4, calibrate AE sensor; 5, signal processing unit; 6, channel line; 7, acoustic emission capture card; 8, main control unit.
Embodiment
Below with reference to specific embodiment and Figure of description the utility model is described in further details.
As depicted in figs. 1 and 2, the utility model is based on the high pressure heater internal leakage fault diagnosis device of acoustic emission testing, comprise main control unit 8, signal processing unit 5 and be fixed in two calibrate AE sensors 4 on the high-pressure heater shell 2, acoustic emission signal when calibrate AE sensor 4 is used for gathering high-pressure heater generation internal leakage, and this acoustic emission signal is converted to electrical signal after signal processing unit 5 sends main control unit 8 to, main control unit 8 is used for above-said current signal is carried out frequency analysis and leak source positioning analysis.Two calibrate AE sensors 4 can carry out leakage positioning to high-pressure heater, acoustic emission signal when monitoring the high-pressure heater leakage simultaneously, and the on-line monitoring software in the main control unit 8 can be handled and analyze the data of each passage, comprise that the characteristic parameter to signal carries out on-line monitoring, accurately locatees and provide fault treatment suggestion etc. to source of leaks.
Because high-pressure heater mainly is in and carries out work in the hot environment, about the about 300-400 of the temperature of high-pressure heater shell 2 degree centigrade, when adopting the utility model to do Leak testtion, be damaged for fear of calibrate AE sensor 4, need to remove a small amount of thermal insulating material, waveguide rod 3 is installed on high-pressure heater shell 2, again calibrate AE sensor 4 is fixed on the waveguide rod 3.Two calibrate AE sensors 4 are on the sustained height, leave distance L (L＞0.5m) between two calibrate AE sensors 4.Signal processing unit 5 comprises preamplifier, and the sound signal that calibrate AE sensor 4 collects is converted to electrical signal after preamplifier sends main control unit 8 to after amplifying processing.Wherein, the model of preamplifier can adopt 2/4/6, and the model of calibrate AE sensor 4 can adopt R15, and frequency of okperation is 50-200kHz.
Working principle: high-pressure heater generally comprises high-pressure heater shell 2 and heat exchange pipeline 1.At first two calibrate AE sensors 4 are fixed on the high-pressure heater shell 2 by waveguide rod 3, two preamplifiers that calibrate AE sensor 4 connects as signal processing unit 5 with channel line 6 respectively, preamplifier links to each other with main control unit 8 by acoustic emission capture card 7, is equiped with online detection software in the main control unit 8.
According to the field experience debug signal, guarantee that the signal of two passages is normally unimpeded.Every hardware, the software parameter of online detection software in the main control unit 8 are set simultaneously.The main hardware parameter comprises: the humidity of whole detection device place environment during test; The main software parameter comprises: the test threshold value of each passage, data sampling frequency, High frequency filter frequency, low frequency filtering frequency, and the parameters of located in connection.Online detection software mainly is that leakage signal is carried out Treatment Analysis, main Treatment Analysis comprise to signal carry out frequency analysis, main acoustic emission parameter online and leakage position be positioned leak condition assessment.
Referring to Fig. 5, test period, the inner piping of high-pressure heater is if any leakage, leakage position just can release energy, this release is outwards propagated expansion with the stress wave form, it is electrical signal that calibrate AE sensor 4 receives behind the stress wave signal conversion, imports main control unit 8 into after amplifying through preamplifier, by online detection software signal is carried out frequency analysis and leak source location correlation analysis at last.
Wherein, leakage position orientated as the located in connection analytical technology.Below with reference to Fig. 3, Fig. 4, Fig. 5 and simple application example introduction is done in correlation analysis.
Take the method for cross-correlation analysis, the principle schematic of this test method as shown in Figure 3, Fig. 4 is the result curve schematic representation of the utility model correlation analysis in application example, wherein the value of cross-correlation function peak of curve correspondence has reflected that also X this moment (t) is the most similar to Y (t+ τ) waveform, has also reflected the lag time between two signals simultaneously.Fig. 3 is a heater internal pipeline leak diagnostics example.The K of leakage loss place is considered as propagating to both sides the source of leaks of acoustic emission signal, on the pipeline of both sides, place calibrate AE sensor 4 respectively, because does not wait apart from the leakage loss place far in the place of sound reproduction emission sensor 4, then the signal of Guo Louing reaches two calibrate AE sensors 4 just has the time difference, τ=τ on correlogram
mThe place
(wherein
Maximum value is arranged, this τ
mIt is exactly the time difference.Wherein t is the time, and τ is time shift, and X (t), Y (t) are signal, and Y (t+ τ) is the signal behind Y (t) the time shift τ, and T is the cycle of signal, R
XYBe the cross-correlation function of two signals (τ), by τ
mJust can determine the position at leakage loss place:
In the formula: the mid point of s-two sensors is to the distance at leakage loss place;
υ-sound equipment is by the velocity of propagation of pipeline.
Delay time T
mThe correlation analysis of determining of (or claiming transit time, the time difference) is crucial, and τ
mMensuration be exactly the problem that the correlation function peak value is determined in essence.
The utility model is used Twin channel fast Fourier (FFT) transform analysis and is realized the cross-correlation function analysis.Coherence spectra G from frequency domain υ
XYInverse Fourier transform (υ) can obtain the cross-correlation function R among the time domain τ
XY(τ):
The Fourier transformation of (wherein Gxy (υ)=X (t) Y (t+ τ))).At this moment, the maximum value of cross-correlation function pairing retard time is exactly desired transit time τ
mCause τ
mThe factor of measurement error is a lot, for example in the cross-correlation function intergration time limited, interference noise, sensor respective signal passage matching problem etc.Two calibrate AE sensor 4 channel matched are high more good more, preferably identical in principle, and consequent error is also less.The influence of sampling time interval, from error analysis angle and sampling thheorem angle, sampling time interval is the smaller the better, but must take into account the practicability requirement of system and the spectral characteristic of fluid, could rationally determine sampling time interval.
The above only is a preferred implementation of the present utility model, and protection domain of the present utility model also not only is confined to the foregoing description, and all technological schemes that belongs under the utility model thinking all belong to protection domain of the present utility model.Should be pointed out that for those skilled in the art in the some improvements and modifications that do not break away under the utility model principle prerequisite, these improvements and modifications also should be considered as protection domain of the present utility model.
Claims (5)
1. high pressure heater internal leakage fault diagnosis device based on acoustic emission testing, it is characterized in that: comprise main control unit (8), signal processing unit (5) and be fixed in two calibrate AE sensors (4) on the high-pressure heater shell (2), sound signal when described calibrate AE sensor (4) is used for gathering high-pressure heater generation internal leakage, and this sound signal is converted to electrical signal after signal processing unit (5) sends main control unit (8) to, main control unit (8) carries out frequency analysis and leak source positioning analysis to above-said current signal, and determines leakage point according to the time difference that the acoustic emission signal of leaking reaches two calibrate AE sensors (4).
2. the high pressure heater internal leakage fault diagnosis device based on acoustic emission testing according to claim 1 is characterized in that: described calibrate AE sensor (4) is fixed on the high-pressure heater shell (2) by waveguide rod (3).
3. the high pressure heater internal leakage fault diagnosis device based on acoustic emission testing according to claim 1 and 2, it is characterized in that: described two calibrate AE sensors (4) are on the sustained height, leave distance (L) between described two calibrate AE sensors (4).
4. the high pressure heater internal leakage fault diagnosis device based on acoustic emission testing according to claim 1 and 2, it is characterized in that: described signal processing unit (5) comprises preamplifier, and the acoustic emission signal that described calibrate AE sensor (4) collects is converted to electrical signal after preamplifier sends main control unit (8) to after amplifying processing.
5. the high pressure heater internal leakage fault diagnosis device based on acoustic emission testing according to claim 3, it is characterized in that: described signal processing unit (5) comprises preamplifier, and the acoustic emission signal that described calibrate AE sensor (4) collects is converted to electrical signal after preamplifier sends main control unit (8) to after amplifying processing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009203520835U CN201636531U (en) | 2009-12-25 | 2009-12-25 | Internal leakage fault diagnosis device for high-pressure heater based on acoustic emission detection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009203520835U CN201636531U (en) | 2009-12-25 | 2009-12-25 | Internal leakage fault diagnosis device for high-pressure heater based on acoustic emission detection |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN201636531U true CN201636531U (en) | 2010-11-17 |
Family
ID=43081024
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2009203520835U Expired - Fee Related CN201636531U (en) | 2009-12-25 | 2009-12-25 | Internal leakage fault diagnosis device for high-pressure heater based on acoustic emission detection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN201636531U (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102182935A (en) * | 2011-02-18 | 2011-09-14 | 郑国范 | Sonar detecting and positioning method and system for underwater oil delivery pipeline leakage |
| CN102606891A (en) * | 2012-04-11 | 2012-07-25 | 广州东芝白云自动化系统有限公司 | Water leakage detector, water leakage detecting system and water leakage detecting method |
| CN102788847A (en) * | 2012-07-20 | 2012-11-21 | 广西大学 | Resonance transmission rod for connecting sensor in acoustic emission detection |
| CN110864227A (en) * | 2019-11-01 | 2020-03-06 | 清华大学 | Water supply pipe network state monitoring system and method |
| CN110939875A (en) * | 2019-12-17 | 2020-03-31 | 上海隧道工程股份有限公司 | Pipeline leakage detection and positioning method and system based on spectral line analysis |
-
2009
- 2009-12-25 CN CN2009203520835U patent/CN201636531U/en not_active Expired - Fee Related
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102182935A (en) * | 2011-02-18 | 2011-09-14 | 郑国范 | Sonar detecting and positioning method and system for underwater oil delivery pipeline leakage |
| CN102606891A (en) * | 2012-04-11 | 2012-07-25 | 广州东芝白云自动化系统有限公司 | Water leakage detector, water leakage detecting system and water leakage detecting method |
| CN102606891B (en) * | 2012-04-11 | 2014-06-25 | 广州东芝白云自动化系统有限公司 | Water leakage detector, water leakage detecting system and water leakage detecting method |
| CN102788847A (en) * | 2012-07-20 | 2012-11-21 | 广西大学 | Resonance transmission rod for connecting sensor in acoustic emission detection |
| CN110864227A (en) * | 2019-11-01 | 2020-03-06 | 清华大学 | Water supply pipe network state monitoring system and method |
| CN110939875A (en) * | 2019-12-17 | 2020-03-31 | 上海隧道工程股份有限公司 | Pipeline leakage detection and positioning method and system based on spectral line analysis |
| CN110939875B (en) * | 2019-12-17 | 2021-09-28 | 上海隧道工程股份有限公司 | Pipeline leakage detection and positioning method and system based on spectral line analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101750193A (en) | High pressure heater internal leakage fault diagnosis device based on acoustic emission detection | |
| CN201636531U (en) | Internal leakage fault diagnosis device for high-pressure heater based on acoustic emission detection | |
| CN104373821A (en) | Natural gas pipeline safety monitoring device based on acoustical science active spurring | |
| KR100883446B1 (en) | Defect diagnostics system and method using acoustic emission | |
| CN101832472B (en) | System implementing pipeline leak detection by utilizing infrasonic wave | |
| CN101871733B (en) | Safety detecting method for flue gas waste heat recovery power system of industrial furnace | |
| CN101701995B (en) | Impulse response analytical test apparatus and method for detecting deformation of transformer winding | |
| CN102288883B (en) | Oscillation wave partial discharge identifying and positioning method for asynchronous double-end power cable | |
| CN202419144U (en) | Virtual instrument-based underground steam pipeline leakage detection device | |
| CN102323013A (en) | Valve leakage detection device | |
| CN102879714B (en) | Partial discharge of transformer detection and location method | |
| CN103016958A (en) | Method and system for temperature and humidity monitoring of high-energy pipeline subject to medium leakage in nuclear power plant | |
| CN102095083A (en) | Detecting system used for leakage of gas valve | |
| CN201740632U (en) | Leakage fault diagnosing apparatus for high temperature and high pressure valves by using acoustic emission signals | |
| CN103557992A (en) | Method for detecting inner leakage of steam hydrophobic valve based on valve front pipe wall temperature detection | |
| CN205607603U (en) | Portable boiler pipe equipment based on principles of acoustics | |
| CN104458152A (en) | Gas valve inner leakage detection method based on acoustic emission signal processing | |
| CN104764564B (en) | Valves leakage detection method based on sonic sensor | |
| CN110068613B (en) | Method for testing structural guided wave response group velocity dispersion | |
| CN104535281A (en) | Airport apron pipe network impermeability testing device and method based on pressure correlation method | |
| CN112858845A (en) | Partial discharge diagnosis method for gas insulated switchgear | |
| CN103616227B (en) | Noise reduction effect of pipeline silencer apparatus for evaluating and assessment method | |
| CN102818853B (en) | Gas turbine inlet channel temperature field measuring device and method based on acoustic method | |
| Liu et al. | Ultrasonic monitoring of a pipe under operating conditions | |
| CN107504374A (en) | Gas pipeline acoustic monitoring system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20101117 Termination date: 20111225 |