CN110925233A - Compressor surge fault diagnosis method based on acoustic signals - Google Patents
Compressor surge fault diagnosis method based on acoustic signals Download PDFInfo
- Publication number
- CN110925233A CN110925233A CN201911236428.5A CN201911236428A CN110925233A CN 110925233 A CN110925233 A CN 110925233A CN 201911236428 A CN201911236428 A CN 201911236428A CN 110925233 A CN110925233 A CN 110925233A
- Authority
- CN
- China
- Prior art keywords
- compressor
- surge
- pressure sensor
- sound pressure
- energy ratio
- 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
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
- F04D27/001—Testing thereof; Determination or simulation of flow characteristics; Stall or surge detection, e.g. condition monitoring
Abstract
The invention provides a compressor surge fault diagnosis method based on acoustic signals, which comprises the following steps: (1): installing a sound pressure sensor on a casing of the gas compressor; (2): filtering and analyzing an energy spectrum of a signal acquired by the sound pressure sensor; (3): calculating the energy ratio of the analysis result; (4): and (5) judging a threshold value and outputting a judgment signal. The compressor surge fault diagnosis method provided by the invention captures the acoustic signal of the compressor during the occurrence of the surge by using an acoustic test means according to the low-frequency acoustic characteristic phenomenon of the compressor during the occurrence of the surge, and successfully realizes the accurate diagnosis of the compressor surge fault by applying an energy ratio calculation method. The method can be applied to online diagnosis of the surge fault of the gas compressor, is simple in test and accurate in diagnosis, can be popularized and applied to the gas compressor, and has good economic benefits and great practical engineering application value.
Description
Technical Field
The invention belongs to the field of acoustic measurement and signal processing, and particularly relates to a compressor surge fault diagnosis method based on acoustic signals
Background
The compressor (vane compressor) is one of the main components of gas turbines and aircraft engines and has the function of increasing the pressure of the air flow passing through it by applying work with low flow resistance losses. The work stability of the compressor has been widely studied by a large number of researchers, and the unstable working conditions of the compressor mainly include rotating stall, surge, flutter and the like, wherein the unstable working condition of the surge is one of the more popular research objects.
The phenomenon and mechanism of surge fault are clear, and how to realize rapid diagnosis when the surge fault of the compressor occurs in engineering application to protect parts of the compressor is a key part of surge fault research. At present, the dynamic pressure parameter test and the related data processing method are mainly adopted for testing and diagnosing the surge fault of the air compressor at home and abroad. The adopted method mainly comprises a statistical characteristic method, a dynamic pressure variance method, a pulsating pressure change rate method and the like, and the methods mainly use a time domain threshold value method to diagnose the surge fault, namely, when a certain calculated time domain parameter is greater than a set threshold value, the surge is judged to occur. Because the method needs a large amount of test data as support to determine the threshold value to be applied, the phenomena of false alarm, missing report and untimely early warning can exist when the method is applied in engineering.
Aiming at the problem that low-frequency noise obviously different from that under a normal working state is generated when a surge fault of the air compressor occurs, at present, some scientific researchers carry out related researches on the noise characteristics under the surge state, but only stay on the researches on the acoustic phenomenon under the surge state, and do not carry out related researches on surge fault diagnosis by applying acoustic signals.
Disclosure of Invention
The purpose of the invention is as follows: in order to solve the problems, the invention provides a surge fault diagnosis method based on acoustic signals aiming at the defects of the existing compressor surge fault diagnosis method in the engineering, and the surge fault can be successfully diagnosed by applying the method.
The technical scheme is as follows:
a compressor surge fault diagnosis method based on acoustic signals comprises the following steps:
(1): installing a sound pressure sensor on a casing of the gas compressor;
(2): filtering and analyzing an energy spectrum of a signal acquired by the sound pressure sensor;
(3): calculating the energy ratio of the analysis result;
(4): and (5) judging a threshold value and outputting a judgment signal.
Preferably, the sound pressure sensor is flush-mounted on the wall surface of the air inlet casing.
Preferably, the filtering adopts low-pass filtering, high-frequency non-acoustic signals higher than 20kHz are filtered, and the filtered time domain signals are extracted by applying analysis points and subjected to energy spectrum analysis; the number of analysis points is selected to ensure that the frequency resolution is less than or equal to the lower limit frequency of the dynamic range of the sound pressure sensor.
Preferably, the energy ratio of the high-frequency band result and the low-frequency band result in the analysis result obtained in the step (2) is calculated, and the low-frequency band is below 40 Hz; the high frequency band is above 80 Hz.
Preferably, the energy ratio calculated value obtained in step (3) is compared with a set energy ratio threshold value, the energy ratio threshold value is 0.5, and the determination result is output.
Has the advantages that:
according to the low-frequency acoustic characteristic phenomenon when the surge of the gas compressor occurs, the acoustic signal when the surge of the gas compressor occurs is captured by an acoustic testing means, and the accurate diagnosis of the surge fault of the gas compressor is successfully realized by applying an energy ratio calculation method. The method can be applied to online diagnosis of the surge fault of the gas compressor, is simple in test and accurate in diagnosis, can be popularized and applied to the gas compressor, and has good economic benefits and great practical engineering application value.
Drawings
FIG. 1 is a flow chart of a compressor surge fault diagnosis method based on acoustic signals provided by the invention
FIG. 2 is a surge time-frequency diagram based on acoustic signals;
FIG. 3 diagnosis result of 50% state surge of compressor relative conversion speed
FIG. 4 shows the relative conversion speed 70% of the compressor surge diagnosis result
FIG. 5 compressor relative reduced speed 90% surge diagnostic results
Detailed Description
The invention will be further explained with reference to the drawings
As shown in fig. 1, a flow chart of a compressor surge fault diagnosis method based on acoustic signals provided by the present invention is provided, and the method comprises the following steps:
(1): installing a sound pressure sensor on a casing of the gas compressor;
the sound pressure sensor is a capacitance type sound pressure sensor, the sensor has better dynamic response compared with other sensors, the lower limit of the dynamic range of the selected sensor is lower than 20Hz, and the installation position of the sensor is selected as the wall surface of a box of the inlet section of the air compressor. The installation mode is that the wall surface of the inlet casing of the compressor is flush installed, and the sensor needs to be statically calibrated before installation.
After the installation is finished, whether the test signal has the interference of 50Hz and high frequency multiplication electric signals is checked, and if so, the test signal needs to be eliminated as much as possible. The setting of the sampling rate of the acoustic signal should be as small as possible in case the sampling theorem is fulfilled.
(2): filtering and analyzing an energy spectrum of a signal acquired by the sound pressure sensor;
carrying out low-pass filtering processing on the sound pressure signals acquired in the step (1), filtering high-frequency non-acoustic signals higher than 20kHz, extracting filtered time domain signals by applying analysis points, and carrying out energy spectrum analysis; the number of analysis points is selected to ensure that the frequency resolution is less than or equal to the lower limit frequency of the dynamic range of the sound pressure sensor.
(3): calculating the energy ratio of the analysis result;
energy combination is carried out on the obtained energy spectrum signals in a frequency-division mode, and due to analysis, when surging occurs, acoustic signals are intensively reflected below 80Hz in the frequency spectrum and have broadband characteristics, and energy below 40Hz is more dominant, as shown in figure 2. Therefore, the acoustic signal is divided into two frequency bands according to the frequency of 40Hz or less and 80Hz or more, the ratio calculation is carried out by applying energy to the signals of each frequency band, and the energy ratio calculation is carried out by applying the energy signal of 40Hz or less and the energy signal of 80Hz or more.
(4): and (5) judging a threshold value and outputting a judgment signal.
And (4) comparing and judging the energy ratio calculated value obtained in the step (3) with a set energy ratio threshold value, wherein the energy ratio threshold value is 0.5, outputting a surge fault digital judgment signal of '0' (no surge) or '1' (surge) according to the comparison result, and outputting the judgment result.
Referring to fig. 3-5, the diagnosis results of the compressor under different working conditions are shown, and it can be seen from the figure that the present invention makes a correct judgment on the occurrence of surge in different working conditions of the compressor. In conclusion, the method provided by the invention can accurately judge the surge fault of the compressor.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (5)
1. A compressor surge fault diagnosis method based on acoustic signals is characterized by comprising the following steps:
(1): installing a sound pressure sensor on a casing of the gas compressor;
(2): filtering and analyzing an energy spectrum of a signal acquired by the sound pressure sensor;
(3): calculating the energy ratio of the analysis result;
(4): and (5) judging a threshold value and outputting a judgment signal.
2. The diagnostic method according to claim 1, wherein in the step (1): the sound pressure sensor is flush mounted on the wall surface of the air inlet casing.
3. The diagnostic method according to claim 1, wherein in the step (2): the filtering adopts low-pass filtering, high-frequency non-acoustic signals higher than 20kHz are filtered, and the filtered time domain signals are extracted by applying analysis points and are subjected to energy spectrum analysis; the number of analysis points is selected to ensure that the frequency resolution is less than or equal to the lower limit frequency of the dynamic range of the sound pressure sensor.
4. The diagnostic method according to claim 1, wherein in the step (3): calculating the energy ratio of high-frequency band and low-frequency band results in the analysis results obtained in the step (2), wherein the low-frequency band is below 40 Hz; the high frequency band is above 80 Hz.
5. The diagnostic method according to claim 1, wherein in the step (4): and (4) comparing the energy ratio calculation value obtained in the step (3) with a set energy ratio threshold value, wherein the energy ratio threshold value is 0.5, and outputting a judgment result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911236428.5A CN110925233A (en) | 2019-12-05 | 2019-12-05 | Compressor surge fault diagnosis method based on acoustic signals |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911236428.5A CN110925233A (en) | 2019-12-05 | 2019-12-05 | Compressor surge fault diagnosis method based on acoustic signals |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110925233A true CN110925233A (en) | 2020-03-27 |
Family
ID=69857273
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911236428.5A Pending CN110925233A (en) | 2019-12-05 | 2019-12-05 | Compressor surge fault diagnosis method based on acoustic signals |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110925233A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112253523A (en) * | 2020-12-08 | 2021-01-22 | 中国航发上海商用航空发动机制造有限责任公司 | Test method and tester for identifying stall initial stage of multistage axial flow compressor |
| CN112879278A (en) * | 2021-01-11 | 2021-06-01 | 苏州欣皓信息技术有限公司 | Pump station unit fault diagnosis method based on noise signal A weighting analysis |
| CN114754020A (en) * | 2022-04-18 | 2022-07-15 | 合肥通用机械研究院有限公司 | Compressor surge monitoring system and monitoring method based on intake noise characteristics |
| CN115306754A (en) * | 2022-10-12 | 2022-11-08 | 中国航发四川燃气涡轮研究院 | Axial flow fan aerodynamic instability identification method based on acoustic array |
| CN115326400A (en) * | 2022-10-13 | 2022-11-11 | 中国航发四川燃气涡轮研究院 | Fault diagnosis method of aircraft engine surge detection system and electronic equipment |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH04301200A (en) * | 1991-03-29 | 1992-10-23 | Hitachi Ltd | Control method of surging of fluid machinery |
| CN1675470A (en) * | 2002-08-23 | 2005-09-28 | 约克国际公司 | System and method for detecting rotating stall in a centrifugal compressor |
| CN103528670A (en) * | 2012-06-28 | 2014-01-22 | 西门子公司 | Stall detection of wind turbine blades |
| CN107101834A (en) * | 2017-05-12 | 2017-08-29 | 哈尔滨工程大学 | The turbo-charger surge prediction meanss and Forecasting Methodology of feature based frequency |
| CN107202028A (en) * | 2017-05-31 | 2017-09-26 | 北京理工大学 | A kind of turbocharger centrifugal compressor surge recognition methods |
| CN108362500A (en) * | 2017-12-26 | 2018-08-03 | 中国航发四川燃气涡轮研究院 | A kind of method that compressor quickly sentences asthma |
| CN108612664A (en) * | 2018-05-04 | 2018-10-02 | 重庆江增船舶重工有限公司 | A kind of automatic detection of surge in centrifugal compressors, regulating system |
| CN109458324A (en) * | 2018-10-31 | 2019-03-12 | 重庆美的通用制冷设备有限公司 | Compressor surge recognition methods, apparatus and system |
-
2019
- 2019-12-05 CN CN201911236428.5A patent/CN110925233A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH04301200A (en) * | 1991-03-29 | 1992-10-23 | Hitachi Ltd | Control method of surging of fluid machinery |
| CN1675470A (en) * | 2002-08-23 | 2005-09-28 | 约克国际公司 | System and method for detecting rotating stall in a centrifugal compressor |
| CN103528670A (en) * | 2012-06-28 | 2014-01-22 | 西门子公司 | Stall detection of wind turbine blades |
| CN107101834A (en) * | 2017-05-12 | 2017-08-29 | 哈尔滨工程大学 | The turbo-charger surge prediction meanss and Forecasting Methodology of feature based frequency |
| CN107202028A (en) * | 2017-05-31 | 2017-09-26 | 北京理工大学 | A kind of turbocharger centrifugal compressor surge recognition methods |
| CN108362500A (en) * | 2017-12-26 | 2018-08-03 | 中国航发四川燃气涡轮研究院 | A kind of method that compressor quickly sentences asthma |
| CN108612664A (en) * | 2018-05-04 | 2018-10-02 | 重庆江增船舶重工有限公司 | A kind of automatic detection of surge in centrifugal compressors, regulating system |
| CN109458324A (en) * | 2018-10-31 | 2019-03-12 | 重庆美的通用制冷设备有限公司 | Compressor surge recognition methods, apparatus and system |
Non-Patent Citations (1)
| Title |
|---|
| 曹昳劼等: "压气机喘振声音信号的快速傅里叶变换和小波变换分析", 《能源技术》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112253523A (en) * | 2020-12-08 | 2021-01-22 | 中国航发上海商用航空发动机制造有限责任公司 | Test method and tester for identifying stall initial stage of multistage axial flow compressor |
| CN112879278A (en) * | 2021-01-11 | 2021-06-01 | 苏州欣皓信息技术有限公司 | Pump station unit fault diagnosis method based on noise signal A weighting analysis |
| CN114754020A (en) * | 2022-04-18 | 2022-07-15 | 合肥通用机械研究院有限公司 | Compressor surge monitoring system and monitoring method based on intake noise characteristics |
| CN114754020B (en) * | 2022-04-18 | 2024-02-02 | 合肥通用机械研究院有限公司 | Compressor surge monitoring system and monitoring method based on intake noise characteristics |
| CN115306754A (en) * | 2022-10-12 | 2022-11-08 | 中国航发四川燃气涡轮研究院 | Axial flow fan aerodynamic instability identification method based on acoustic array |
| CN115306754B (en) * | 2022-10-12 | 2023-02-17 | 中国航发四川燃气涡轮研究院 | Axial flow fan aerodynamic instability identification method based on acoustic array |
| CN115326400A (en) * | 2022-10-13 | 2022-11-11 | 中国航发四川燃气涡轮研究院 | Fault diagnosis method of aircraft engine surge detection system and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110925233A (en) | Compressor surge fault diagnosis method based on acoustic signals | |
| US7409854B2 (en) | Method and apparatus for determining an operating status of a turbine engine | |
| CN109883702B (en) | Motor bearing fault diagnosis method based on time-frequency domain statistical characteristics | |
| CN110608187A (en) | Axial flow compressor stall surge prediction device based on frequency characteristic change | |
| CN110410336B (en) | Automatic pump cavitation state identification method | |
| CN109190166B (en) | Cavitation judgment and state evaluation method and system for vane pump | |
| US7698942B2 (en) | Turbine engine stall warning system | |
| JPH08503042A (en) | Method and apparatus for monitoring the excitation of an axial compressor | |
| CN101629572A (en) | Stall and surge detection system and method | |
| CN102341597A (en) | Method for monitoring wind turbines | |
| JP2002022617A (en) | Apparatus for diagnosing bearing | |
| CN109030849B (en) | Method and device for monitoring rotating stall of compressor | |
| CN107101834B (en) | Turbo-charger surge prediction meanss and prediction technique based on characteristic frequency | |
| Kerres et al. | Analysis of the turbocharger compressor surge margin using a hurst-exponent-based criterion | |
| US10088830B2 (en) | Apparatus and method for detecting the current damaged state of a machine | |
| CN111307206B (en) | Multi-source information fusion-based compressor surge automatic identification method | |
| CN113049953A (en) | Method, apparatus, medium, and device for fault localization through noise | |
| Wu et al. | Blade tip timing: from raw data to parameters identification | |
| US8955372B2 (en) | Systems and methods for continuous pressure change monitoring in turbine compressors | |
| CN114754020A (en) | Compressor surge monitoring system and monitoring method based on intake noise characteristics | |
| CN211288186U (en) | Axial flow compressor stall surge prediction device based on frequency characteristic change | |
| CN114611558A (en) | Method for online detection of surge of centrifugal compressor of turbocharger | |
| WO2021060500A1 (en) | Signal processing device, signal processing method, and program | |
| CN110146267B (en) | Method for detecting flutter of valve plate of totally-enclosed refrigeration compressor | |
| CN112943639A (en) | Method for detecting cavitation failure of pump |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200327 |