WO2007122697A1 - 流体機械の性能診断装置及びシステム - Google Patents
流体機械の性能診断装置及びシステム Download PDFInfo
- Publication number
- WO2007122697A1 WO2007122697A1 PCT/JP2006/308129 JP2006308129W WO2007122697A1 WO 2007122697 A1 WO2007122697 A1 WO 2007122697A1 JP 2006308129 W JP2006308129 W JP 2006308129W WO 2007122697 A1 WO2007122697 A1 WO 2007122697A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- performance
- fluid machine
- head
- pressure
- coefficient
- Prior art date
Links
- 239000012530 fluid Substances 0.000 title claims abstract description 78
- 230000006835 compression Effects 0.000 claims abstract description 20
- 238000007906 compression Methods 0.000 claims abstract description 20
- 230000006866 deterioration Effects 0.000 claims abstract description 9
- 238000003745 diagnosis Methods 0.000 claims description 22
- 238000012806 monitoring device Methods 0.000 claims description 14
- 230000008859 change Effects 0.000 claims description 12
- 238000012544 monitoring process Methods 0.000 claims description 12
- 230000015556 catabolic process Effects 0.000 claims description 10
- 238000006731 degradation reaction Methods 0.000 claims description 10
- 239000007789 gas Substances 0.000 description 31
- 238000010586 diagram Methods 0.000 description 9
- 238000005259 measurement Methods 0.000 description 8
- 238000011156 evaluation Methods 0.000 description 6
- 229910052757 nitrogen Inorganic materials 0.000 description 6
- 230000000704 physical effect Effects 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 4
- 238000000034 method Methods 0.000 description 4
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 241000283984 Rodentia Species 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 229940063821 oxygen 21 % Drugs 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B51/00—Testing machines, pumps, or pumping installations
-
- 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
Definitions
- the present invention relates to a fluid machine performance diagnosis apparatus and system for diagnosing the performance of fluid machines such as various fans, compressors, and pumps that pump fluid.
- Patent Document 1 Japanese Patent Application Laid-Open No. 2003-166477 (summary and FIG. 1)
- the present invention has been proposed to solve such problems, and is a fluid machine performance diagnostic apparatus or a fluid machine performance capable of easily evaluating the degree of deterioration of the fluid machine.
- An object is to provide a diagnostic system.
- the fluid machine performance diagnostic apparatus is characterized in that the characteristic is made dimensionless for each of a plurality of fluid control amounts from the compression ratio or pressure difference of the fluid machine and the inlet flow rate.
- the expected performance curve calculator that calculates the curve showing the relationship with the coefficient, and the measured performance head also includes the fluid control amount, suction pressure, discharge pressure, suction temperature, compression coefficient, gas average molecular weight, and specific heat specific force during operation of the fluid machine.
- a performance diagnostic calculator that calculates the predicted performance head from the predicted performance curve, fluid control amount, and inlet flow rate, and calculates the specific performance of the predicted performance head and the measured performance head.
- the measurement performance head in the first means, includes a suction pressure Ps, a discharge pressure Pd, a suction temperature Ts, and a compression coefficient.
- Is Z gas average molecular weight is Mw
- specific heat ratio is k
- ⁇ (k 1) Zk
- the measured performance head ⁇ is
- the fluid machine performance diagnostic apparatus is characterized in that, in the first or second means, a performance change rate calculation for differentiating the performance deterioration degree to calculate a performance deterioration degree change rate. It is equipped with a machine.
- the fluid machine performance diagnosis system measures or calculates a suction pressure, a discharge pressure, a suction temperature, a compression coefficient, a gas average molecular weight, and a specific heat ratio during operation of the fluid machine.
- a monitoring device that stores the data, and a central monitoring computer that receives the data stored in the monitoring device via a network, wherein the central monitoring computer is one of the first, second, and third
- the fluid machine performance diagnosis apparatus according to any one of the above means is provided.
- FIG. 1 is a schematic diagram of a plant in which a fluid machine performance diagnostic apparatus according to an embodiment of the present invention is employed.
- FIG. 2 is a circuit configuration diagram of the fluid machine performance diagnosis apparatus according to the embodiment of the present invention.
- FIG. 3 is a calculation block diagram of the fluid machine performance diagnosis apparatus according to the embodiment of the present invention.
- FIG. 4 is an example of a display graph by the fluid machine performance diagnosis apparatus according to the embodiment of the present invention.
- FIG. 5A is a diagram showing the basic principle of the evaluation of the fluid machine performance diagnostic apparatus according to the embodiment of the present invention.
- FIG. 5B is a diagram showing the basic principle of the evaluation of the fluid machine performance diagnostic apparatus according to the embodiment of the present invention.
- FIG. 1 is a schematic diagram of a plant in which a fluid machine performance diagnosis apparatus according to an embodiment of the present invention is employed
- FIG. 2 is a circuit configuration diagram of the fluid machine performance diagnosis apparatus according to the embodiment of the present invention
- FIG. 3 is a calculation block diagram of the fluid machine performance diagnosis apparatus according to the embodiment of the present invention.
- FIG. 4 is an example of a display graph by the fluid machine performance diagnosis apparatus according to the embodiment of the present invention.
- FIG. 5B is a diagram showing the basic principle of the evaluation of the fluid machine performance diagnostic apparatus according to the embodiment of the present invention.
- the basic principle of the embodiment of the present invention is to make the design performance (or predicted performance) and the measured performance characteristics dimensionless, and compare and evaluate them.
- rate of change (degradation rate) of measured performance is also calculated to make evaluation easier.
- the head which is the work amount per unit weight effectively used for increasing the pressure of a compressor or the like, is used as a parameter for performance evaluation.
- the head (that is, the expected performance head H) under conditions such as a predetermined suction temperature, a specific heat ratio, and a fluid constant can be calculated by the following equation (1).
- N is the number of revolutions as a fluid control variable for the compressor, etc.
- Qs is the inlet volume flow rate.
- the predicted performance head ⁇ becomes a curve that decreases as the inlet volume flow rate Q increases at a plurality of fluid control amounts, that is, at each rotation speed.
- the head that is, the actually measured performance head ⁇
- the work amount per unit weight under conditions such as a predetermined suction temperature and gas physical properties
- P is the suction pressure
- P is the discharge pressure
- T is the suction temperature
- Equation (4) the dimensionless pressure coefficient and flow coefficient ⁇ are calculated and used as a database.
- u is the circumferential speed of the impeller of the compressor
- D is the outer diameter of the impeller
- b is the width of the exit of the impeller
- K and K are constants.
- the relationship between the pressure coefficient and the flow coefficient ⁇ is a curve in which the pressure coefficient decreases after increasing as the flow coefficient ⁇ increases, as shown in FIG. 5B.
- the database contains a plurality of fluid control amounts, that is, rotation speeds N 1, N 2, N
- a curve indicating the relationship between the pressure coefficient and the flow coefficient ⁇ at 01 02 03 is stored.
- the actually measured inlet volume flow rate Q is measured with the measured discharge pressure ⁇ , suction pressure ⁇ , suction temperature d.
- the measured performance head ⁇ can be obtained by the following equation (9).
- the compression coefficient is Z
- the gas average molecular weight is M
- w k is the specific heat ratio and
- 8 is (k l) Zk).
- the head ratio (predx real) is calculated based on the calculated expected performance head H and measured performance head ⁇ .
- This head ratio (performance degradation degree) ⁇ can be quantitatively evaluated in the entire operation range.
- thermal machines la, lb and lc such as various fans, compressors and pumps are installed in thermal power plants and other various plants.
- the compressor 3 is driven by a variable speed turbine 2.
- the turbine 2 has a rotational speed controlled by a governor (not shown), and the turbine 2 is connected to a tachometer 4 for detecting the actual rotational speed Nx.
- the discharge pipe 9 of the compressor 3 is provided with a discharge-side pressure gauge 5 for detecting the discharge pressure P. d
- the suction pipe 10 of the compressor 3 has a suction side pressure gauge 6 for detecting the suction pressure P, s A suction side thermometer 7 for detecting the suction temperature Ts of the fluid flowing through the suction pipe 10 and a flow meter 8 for measuring the inlet volume flow rate Q of the fluid are also provided.
- the physical property value of the fluid flowing in the suction pipe 10 is separately input and stored in the monitoring device 11 or the central monitoring computer 13 or the like.
- Each identification code, measurement date and time, and measurement value stored in the storage device are transmitted to the central monitoring computer 13 through the network 12 periodically or in response to a request from the central monitoring computer 13.
- the gas composition is periodically measured by a gas analyzer (not shown), and the gas composition is input to the monitoring device 11 or the central monitoring computer 13 (for example, nitrogen in the case of air; 79% oxygen 21 %), And estimate the gas physical properties (gas compression coefficient Z, specific heat ratio k, gas average molecular weight M) in the monitoring device 11 or the central monitoring computer 13 from the reference pressure and reference temperature. .
- the gas fraction is measured with a gas hydrometer (gas specific gravity with respect to air) not shown Periodically measure only the molecular weight M, and use only the gas molecular weight as fluctuation data.
- the gas composition is measured off-line with a gas analyzer (not shown), and the gas property value (gas compression coefficient Z, specific heat ratio k, gas average molecular weight M is measured using the measured gas property estimation program.
- the central monitoring computer 13 includes an operation data collector 20, a shared memory 21, a performance diagnosis calculator 22, a data input unit 23, an expected performance curve calculator 24, and a performance diagnosis database. 25, performance change rate calculator 26, history database 27, and indicator 28.
- Each of these arithmetic units is usually in the form of a computer program or sequence block.
- the present invention is not limited to this, and includes those configured by individual electric arithmetic circuit units. It is.
- the operation data collector 20 initializes communication (step S01).
- the timer counts the time and periodically sends a data transmission request signal to each monitoring device 11 (step S02).
- step S03 When the identification codes of the fluid machines la, lb, and lc, the measurement date and time, and the measurement values for a predetermined period are input from each monitoring device 11 (step S03), the data is shared. Copy to memory 21 (step S04).
- each fluid machine la, lb, lc are input from the various data input devices 23 for each identification code.
- the input capacity, performance, etc. are made non-dimensional by the expected performance curve calculator 24 according to the above-described equations (3) and (4), for each predetermined number of revolutions, for example, as shown in FIG. Rotation speed N,
- a curve indicating the relationship between the obtained pressure coefficient and flow coefficient ⁇ is stored in the performance diagnosis database 25 together with the identification code of each fluid machine la, lb, 1 c, and the name of the apparatus.
- the performance diagnosis computing unit 22 first initializes the performance diagnosis program (step S11).
- the timer counts the time (step S12), and periodically measured data of the fluid machine (identification code, measurement date and time, actual rotation speed N, discharge pressure P, suction pressure P, suction temperature d)
- Predx is calculated (step S14) and output to the history database 27 (step S15).
- the performance change rate calculator 26 receives the head ratio a from the history database 27, obtains the change rate by differentiation, and the obtained change rate is stored in the history database 27.
- the screen display program is initialized (step S21).
- step S22 the change rate of the head ratio ⁇ and the head ratio a is obtained from the history database 27, screen data is created (step S22), and a graph as shown in FIG. 4 is displayed on the screen (step S23). ).
- the graph displayed on this screen shows the head ratio (performance degradation degree) a (or measured performance head ⁇ ) and the rate of change of the head ratio a, with the horizontal axis as time.
- the fluid machine is driven by a prime mover (a motor such as a gas turbine, a steam turbine, or an electric motor) having a variable rotation speed, and the rotation speed is controlled.
- a prime mover a motor such as a gas turbine, a steam turbine, or an electric motor
- the rotation speed is controlled.
- a fluid control amount As a fluid control amount.
- control of the fluid amount is not limited to this.
- the rotational speed of the fluid machine is fixed, and an inlet guide vane (IGV, inlet guide vane) or a flow control valve is provided at the inlet of the fluid machine. It is also possible to cope with a device that controls the opening as a fluid control amount.
- the embodiment of the present invention has been described for performance diagnosis in the case of a compressor.
- the present invention can also be applied to other fans, pumps, and the like, and the present invention is not limited to the above embodiment. Needless to say, various modifications may be made to the specific structure within the scope of the present invention.
- the expected performance curve calculator makes the characteristics dimensionless for each of a plurality of fluid control amounts from the compression ratio or pressure difference of the fluid machine and the inlet flow rate.
- a curve indicating the relationship between the coefficient and the flow coefficient is obtained, and the measured performance head is obtained from the fluid control amount, suction pressure, discharge pressure, suction temperature, compression coefficient, gas average molecular weight, and specific heat ratio during operation of the fluid machine.
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Control Of Positive-Displacement Pumps (AREA)
- Control Of Positive-Displacement Air Blowers (AREA)
Abstract
Description
Claims
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE112006003844T DE112006003844T5 (de) | 2006-04-18 | 2006-04-18 | Leistungsfähigkeits-Überwachungsvorrichtung und System für Fluidmaschinen |
CNA2006800542403A CN101438060A (zh) | 2006-04-18 | 2006-04-18 | 流体机械的性能诊断装置及系统 |
PCT/JP2006/308129 WO2007122697A1 (ja) | 2006-04-18 | 2006-04-18 | 流体機械の性能診断装置及びシステム |
US12/297,236 US7996183B2 (en) | 2006-04-18 | 2006-04-18 | Performance monitoring apparatus and system for fluid machinery |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/JP2006/308129 WO2007122697A1 (ja) | 2006-04-18 | 2006-04-18 | 流体機械の性能診断装置及びシステム |
Publications (1)
Publication Number | Publication Date |
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WO2007122697A1 true WO2007122697A1 (ja) | 2007-11-01 |
Family
ID=38624629
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/JP2006/308129 WO2007122697A1 (ja) | 2006-04-18 | 2006-04-18 | 流体機械の性能診断装置及びシステム |
Country Status (4)
Country | Link |
---|---|
US (1) | US7996183B2 (ja) |
CN (1) | CN101438060A (ja) |
DE (1) | DE112006003844T5 (ja) |
WO (1) | WO2007122697A1 (ja) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101865125A (zh) * | 2009-04-17 | 2010-10-20 | 鸿富锦精密工业(深圳)有限公司 | 风扇模组测试方法 |
JP2019148198A (ja) * | 2018-02-26 | 2019-09-05 | 三菱重工コンプレッサ株式会社 | 性能評価方法、性能評価装置、及び性能評価システム |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
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US10254270B2 (en) | 2006-11-16 | 2019-04-09 | General Electric Company | Sensing system and method |
US10260388B2 (en) | 2006-11-16 | 2019-04-16 | General Electric Company | Sensing system and method |
CN102072142B (zh) * | 2010-10-29 | 2012-12-26 | 宁波圣龙汽车动力系统股份有限公司 | 油泵抗咬合性试验方法 |
US10240593B2 (en) * | 2011-03-04 | 2019-03-26 | Asco Power Technologies, L.P. | Systems and methods of controlling pressure maintenance pumps and data logging pump operations |
CN104088783B (zh) * | 2014-06-17 | 2016-05-25 | 昆山弗尔赛能源有限公司 | 风机水泵一体化全自动测试系统 |
CN110552908A (zh) * | 2018-06-01 | 2019-12-10 | 李建锋 | 基于热力学原理的风机性能测量仪表 |
CN110532509B (zh) * | 2019-09-29 | 2023-03-21 | 中国计量大学 | 一种基于不确定度分析的泵与风机性能预测方法 |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS59162395A (ja) * | 1983-03-08 | 1984-09-13 | Fuji Electric Co Ltd | ポンプ運転状態監視装置 |
JP2003028076A (ja) * | 2001-07-12 | 2003-01-29 | Hitachi Ltd | ポンプ異常診断装置 |
JP2006125275A (ja) * | 2004-10-28 | 2006-05-18 | Mitsubishi Heavy Ind Ltd | 流体機械の性能診断装置及びシステム |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4156578A (en) * | 1977-08-02 | 1979-05-29 | Agar Instrumentation Incorporated | Control of centrifugal compressors |
JP3746089B2 (ja) | 1995-03-14 | 2006-02-15 | 松下冷機株式会社 | 圧縮機の性能劣化診断装置 |
KR100390862B1 (ko) * | 2001-01-17 | 2003-07-10 | 한국과학기술연구원 | 터보압축기 불안정성 감지장치 |
US20030077179A1 (en) * | 2001-10-19 | 2003-04-24 | Michael Collins | Compressor protection module and system and method incorporating same |
JP2003166477A (ja) | 2001-11-29 | 2003-06-13 | Furukawa Co Ltd | ポンプの性能診断キット及び性能診断キット取付用ポンプ |
WO2003054503A2 (en) * | 2001-12-07 | 2003-07-03 | Battelle Memorial Institute | Methods and systems for analyzing the degradation and failure of mechanical systems |
-
2006
- 2006-04-18 CN CNA2006800542403A patent/CN101438060A/zh active Pending
- 2006-04-18 US US12/297,236 patent/US7996183B2/en not_active Expired - Fee Related
- 2006-04-18 WO PCT/JP2006/308129 patent/WO2007122697A1/ja active Application Filing
- 2006-04-18 DE DE112006003844T patent/DE112006003844T5/de not_active Withdrawn
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS59162395A (ja) * | 1983-03-08 | 1984-09-13 | Fuji Electric Co Ltd | ポンプ運転状態監視装置 |
JP2003028076A (ja) * | 2001-07-12 | 2003-01-29 | Hitachi Ltd | ポンプ異常診断装置 |
JP2006125275A (ja) * | 2004-10-28 | 2006-05-18 | Mitsubishi Heavy Ind Ltd | 流体機械の性能診断装置及びシステム |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101865125A (zh) * | 2009-04-17 | 2010-10-20 | 鸿富锦精密工业(深圳)有限公司 | 风扇模组测试方法 |
JP2019148198A (ja) * | 2018-02-26 | 2019-09-05 | 三菱重工コンプレッサ株式会社 | 性能評価方法、性能評価装置、及び性能評価システム |
Also Published As
Publication number | Publication date |
---|---|
DE112006003844T5 (de) | 2009-02-12 |
US20090150121A1 (en) | 2009-06-11 |
US7996183B2 (en) | 2011-08-09 |
CN101438060A (zh) | 2009-05-20 |
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