US20090082976A1 - Methods of Analysing Apparatus - Google Patents
Methods of Analysing Apparatus Download PDFInfo
- Publication number
- US20090082976A1 US20090082976A1 US12/085,943 US8594306A US2009082976A1 US 20090082976 A1 US20090082976 A1 US 20090082976A1 US 8594306 A US8594306 A US 8594306A US 2009082976 A1 US2009082976 A1 US 2009082976A1
- Authority
- US
- United States
- Prior art keywords
- shaft
- blade
- window
- component
- peaks
- 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.)
- Abandoned
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M15/00—Testing of engines
- G01M15/14—Testing gas-turbine engines or jet-propulsion engines
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
- G01H1/003—Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines
- G01H1/006—Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines of the rotor of turbo machines
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M5/00—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
- G01M5/0066—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by exciting or detecting vibration or acceleration
Definitions
- This invention concerns a method and apparatus for monitoring rotating and reciprocating apparatus and particularly a method and apparatus for monitoring rotating blades mounted on a shaft in a gas turbine engine.
- Apparatus with rotary components such as gas turbine engines, generate signals which are periodic with respect to shaft rotation.
- the frequency of the signals is related to the angular velocity of the respective shaft and hence the engine speed.
- These rotation-periodic signals are conventionally known as order components. As the angular speed of rotation increases typically the order components similarly increase in frequency.
- each vibration response generally has the same frequency as the engine order forcing frequency that generated it.
- FIG. 1 represents a Campbell diagram for a shaft within a gas turbine engine.
- the y-axis represents frequency of the rotating shaft in Hertz and the x-axis represents shaft speed in revolutions per minute (rpm).
- Each shaft has a number of orders, which represent the first vibration harmonic and subsequent harmonics of the rotating shaft.
- the first, eighth and eleventh and thirteenth harmonic of the shaft are indicated as lines 2 , 4 , 6 and 8 respectively on FIG. 1 .
- the blades can be induced to vibrate at their natural frequency where frequencies of their modes intersect the engine order lines.
- a typical plot of blade modes is depicted on FIG. 1 as lines 10 , 12 , 14 , 16 , 20 , 22 .
- a near perfect frequency match of engine order and blade mode is required to produce the highest amplitude vibrations.
- Certain combinations of blade mode and engine order will produce higher amplitude vibrations than other combinations of blade mode and engine order.
- prudent design practice dictates that the blades be constructed such that the frequencies of the lower modes fall between harmonics of the operating frequency of the turbine. At high amplitude resonant vibrations there is an increased chance of fatigue, cracking and crack propagation within the turbine blades that may give rise to such a failure.
- the vibrations may be measured using, for example, strain gauges, laser transmitters or capacitance and eddy probes. Where a crack, or some other fault is detected in a component it is possible to replace the faulty component before it fails and causes additional damage. Such a replacement results in reduced downtime of the engine and thus an improved cost per hour operation.
- Each row of blades requires its own microphone to sense the acoustic energy from its respective row.
- a complex gas turbine engine which may have about 20 rows of blades split between the fan, compressor and turbine, significant numbers of sensors are required.
- the method is capable of identifying defects such as, for example, cracks, or other artifacts that may not be defects.
- a method of sampling data from a rotatable shaft comprising the steps: determining at least one order related component of the shaft; determining at least one vibration mode of articles functionally mounted to the shaft; selecting one of the vibration modes; selecting one of the order related components that has an instantaneous frequency which intersects the natural frequency range of the selected mode; rotating the shaft and sampling the data where the instantaneous frequency of the selected order and natural frequency range of the selected vibration mode intersect.
- the shaft is rotated with an increasing or decreasing speed of rotation.
- the sampling of the data begins immediately before the selected order and selected vibration mode intersect.
- the sampling of the data ends immediately after the selected order and selected vibration mode intersect.
- the selected order may be the first engine order.
- a method of isolating a selected periodic response from a plurality of periodic responses comprising the steps: operating a shaft at a varying rotational velocity to provide a signal that comprises a plurality of periodic responses; transforming the signal using a short-time chirp Fourier transform, thereby isolating the selected periodic response and characterised in that the chirp rate of the short-time chirp Fourier transform is a function of the rate of change of the shaft velocity.
- the shaft may be one of a plurality of shafts in a gas turbine engine.
- the varying rotational velocity occurs during acceleration or deceleration of the engine.
- the periodic responses may be resonance oscillations of vibration modes of articles functionally mounted to the shaft.
- the method further comprises the step of determining the order related component of the shaft, selecting one of the vibration modes of the articles transforming the signal where the order and natural frequency range of selected vibration mode intersect.
- the articles may be blades.
- the signal is a vibro-acoustic signal.
- the vibro-acoustic signal is captured by an appropriate transducer, for example, a microphone, accelerometer, strain gauge, pressure transducer, etc.
- a method of determining true collections of peaks in an envelope of vibro-acoustic response data comprising the steps: a) providing two sample windows each enclosing a portion of the vibro-acoustic response data, b) calculating the mean value of the envelope of the vibro-acoustic response within each window, c) calculating the ratio of mean value in the first window to the mean value in the second window; the second window lagging the first window d) comparing the ratio against a threshold, e) indicating a single peak where the compared ratio equals or exceeds the threshold, f) moving the sample windows along the envelope of the vibro-acoustic response data and repeating steps b) to e) at least once, g) calculating the spacing between adjacent single peaks, h) grouping adjacent single peaks into a collection of peaks, each single peak in the collection being separated from an adjacent single peak by a spacing that is less than a threshold value, adjacent
- the method further comprising the step of providing a further sample window, the further sample window leads the first window with respect to the envelope of vibro-acoustic response data; step c) being modified in that ratio of mean value in the first window to the mean value in the second window and the ratio of the mean value in the first window to the mean value in the further window is calculated; step e) being modified in that a single peak in indicated when both calculated ratios are above the threshold.
- a method of determining an artifact in a component comprising the steps: a) exciting the component to induce a resonance response; b) detecting higher harmonics in the averaged power spectral density of resonance response; c) calculating the normalised amplitude of two or more higher harmonics, d) comparing the sum of the normalised amplitude of the two or more higher harmonics with a threshold value thereby determining the presence of an artifact.
- the component may be a blade.
- the blade may be mounted on a shaft.
- the blade is excited by rotating the shaft at a selected rotational velocity such that an order related component of the shaft intersects with the natural frequency range of the blade.
- a method for determining an artifact in a component comprising the steps: a) exciting the component to induce a resonance response, b) detecting fundamental and higher harmonics in the averaged power spectral density of resonance response, c) calculating the normalised amplitude of two or more harmonics, at least one of the harmonics being the fundamental harmonic, d) calculating the ratio of the sum of the normalised amplitude of the, or each, higher harmonic and the normalised amplitude of the fundamental harmonic; e) comparing the value of the ratio with a threshold, an artifact being determined by comparing the value with the threshold.
- the component may be a blade.
- the blade may be mounted on a shaft.
- the blade is excited by rotating the shaft at a selected rotational velocity such that an order related component of the shaft intersects with the natural frequency range of the blade.
- a method for determining an artifact in a component comprising the steps: a) exciting the component to induce a resonance response, b) calculating the real and imaginary components of bicoherence b of a resonance response at pk 0 and qk 0 wherein p and q are integers and k 0 is the component resonant frequency, c) determining a location of a point related to calculated components in real and imaginary two dimensional space; the location of the point determining the presence of the artifact.
- the location of the point is compared with a discriminant function.
- the discriminant function is linear.
- the component may be a blade.
- the blade may be mounted on a shaft.
- the blade is excited by rotating the shaft at a selected rotational velocity such that an order related component of the shaft intersects with the natural frequency range of the blade.
- FIG. 1 is a representative Campbell diagram for a shaft in a gas turbine engine having a row of blades.
- FIG. 2 is a schematic of a three shaft engine.
- FIG. 4 shows the amplitude-time-frequency distribution of envelope for a LP, IP and HP shaft after extraction from a vibro-acoustic signal, using short time chirp Fourier transform.
- FIG. 5 is a typical amplitude response of a blade in the time domain under excitation from order related components with changing rotational velocity.
- FIG. 6 is a typical amplitude envelope of a blade in the frequency domain under excitation from order related components with changing rotational velocity (high signal/noise ratio)
- FIG. 7 is a typical amplitude envelope of a blade in the time domain under excitation from order related components with changing rotational velocity (low signal/noise ratio).
- FIG. 8 depicts detected single peaks within the envelope of vibro-acoustic signal
- FIG. 9 depicts the collections of single peaks, the collections being separated by gaps greater than a pre-determined size, here there are 6 collections depicted
- FIG. 10 depicts collections of single peaks that have a duration greater than a pre-determined value, 4 collections are depicted
- FIG. 11 depicts collections of single peaks that have a density greater than a pre-determined value, 1 collection is depicted
- FIG. 12 depicts the power spectral density of resonance response of an un-cracked blade.
- FIG. 13 depicts the power spectral density of resonance response of a cracked blade.
- FIG. 14 depicts the sum of the normalised amplitude of two or more higher harmonics against sample number of cracked and un-cracked blade.
- FIG. 15 is a graphical representation of the calculated real and imaginary components of bicoherence for cracked and un-cracked blades.
- FIG. 1 represents a Campbell diagram for an intermediate pressure (IP) compressor, the IP compressor being driven by an IP shaft within a Rolls-Royce multi shaft gas turbine engine.
- IP intermediate pressure
- FIG. 2 shows a schematic longitudinal section of the three coaxial shafts.
- Low pressure (LP) shaft 30 occupies the central position and is surrounded in turn by the IP shaft 32 and the high pressure (HP) shaft 34 .
- the LP shaft connects the fan and the LP turbine (not shown)
- the IP shaft connects the IP compressor and IP turbine (not shown)
- the HP shaft connects the HP compressor and the HP turbine.
- LP shaft 30 carries a single pole tachometer 36 which is conveniently used for shaft balancing operations.
- IP shaft 32 carries a 60 pole tachometer 38 which is conventionally used for standard shaft speed measurements for engine control purposes.
- HP shaft 34 is connected via bevel gear 40 and step aside gearbox 42 to main (external) gearbox 44 , with a tachometer 46 connected to the output of the main gear box.
- Tachometer 36 produces a signal pulse for each rotation of the LP shaft, and hence the rotational frequency (i.e. shaft speed) of the LP shaft can be determined from the inverse of the period between signal pulses.
- Tachometer 38 produces 60 signal pulses for each rotation of the IP shaft 32 , and hence the rotational frequency of the IP shaft can be determined from the inverse of 60 times the period between the signal pulses.
- Tachometer 46 measures the rotational frequency of the output of the main gearbox 44 . However, as the gearing ratios of the main and step aside gearboxes 44 , 42 and bevel gear 40 are known, the rotational frequency of the HP shaft can be inferred from tachometer 46 .
- the rotational frequencies measured by the tachometers provide the engine orders (e.g. fundamental and harmonic components) for each shaft.
- the Campbell diagram of FIG. 1 depicts a plot of frequency against the speed of rotation of the IP shaft. Four shaft orders are shown representing the first 2 , eighth 4 , eleventh 6 and thirteenth 8 engine order.
- Each stage comprises a single row of multiple blades.
- Each blade within a stage will vibrate at its natural frequency and each blade within a stage may have slight manufacturing variations, meaning that the natural frequency of blades within a stage may slightly vary across a narrow range.
- the natural frequencies of a set of blades for different modes are represented graphically on FIG. 1 as lines 10 , 12 , 14 , 16 , 18 , 20 and 22 . These frequencies are commonly known as frequencies of blade modes and represent mode 1 , 2 , 4 , 12 , 15 , 18 and 21 respectively. Where the engine orders, for example lines 4 , 6 and 8 , intersect the blade modes, then resonance will be induced.
- the fundamental frequencies of engine orders are calculated from the tachometer signals.
- the frequency of the second order is twice the fundamental frequency at the rotational velocity and so on.
- the base-line mean and variance of the natural frequencies of blade modes are measured from experimental data taken during engine development.
- the data is typically obtained during bench tests, where the blade is clamped and then excited by either shaking or passing an air-jet past over the blade. The obtained data is retained.
- a transducer for example, an accelerometer or microphone, capable of sensing a vibro-acoustic signal, is placed at a position where it can capture the signal of the rotating system of interest. The captured vibro-acoustic data is retained for analysis.
- the vibro-acoustic data obtained has a large amount of background interference that hides the vibro-acoustic response (signal) of the components of whose health is to be monitored it is necessary to process the vibro-acoustic data. In particular it is necessary to separate the desired response from responses of other components, which are similarly order related and serve to mask the desired signal.
- All the vibro-acoustic responses typically have a low signal to noise ratio.
- the method analyses the frequency responses of the blades mounted within the IP compressor at the points where a natural frequency range of blades intersects a selected engine order and the amplitudes of the blade modal responses are highest.
- the natural frequency ranges of blade modes of the first set of blades on the IP compressor cross one or more of the shaft orders; blade resonance responses are generated during these crossings.
- the natural frequency ranges of blade modes of the second, third and fourth sets of blades also cross the shaft orders; blade resonance responses are also generated during these crossings.
- the natural frequency ranges of modes of blades attached to the LP and HP shaft will also cross their respective shaft orders; blade resonance responses are also generated during these crossings.
- the captured vibro-acoustic data includes all these resonant responses in addition to other interference. Consequently it is necessary to isolate the desired signal.
- the signal obtained during acceleration and deceleration is obtained during nonlinear variation of the shaft frequency in time.
- This signal may conveniently be called a “piece-wise engine order” and is processed using a short-time chirp-Fourier transform.
- This transform has the form:
- h(t) is a time window
- x 1 (t) is a “piece-wise engine order”
- T is the centre of the window
- c 2 (t) is the variable frequency speed of the transform
- f is frequency.
- frequency speed it is meant the speed of frequency change or, to put it another way, the rate of change of the frequency, or “chirp rate”.
- the short-time chirp-Fourier transform could be used with different windows, e.g. a rectangular window, a Gaussian window, Hamming window etc. It selectively detects the piece-wise shaft orders whilst the shaft speed is varied.
- the recorded vibro-acoustic data comprises order related components from the LP, IP and HP shafts.
- the selected order related components from the IP shaft is isolated from the order related components of the other shafts by evaluating the piece-wise frequency-time dependency of the selected order related components and frequency speed for each part of the dependency and processing the acoustic or vibration data by the short-time chirp-Fourier transform with appropriate durations and frequency speed.
- appropriate durations it is meant durations of the selected order related components with constant frequency speed.
- the frequency speed of engine order 1 of the IP shaft is 0.027 Hz/s. Consequently, the frequency speed of the transform for detecting the blade resonances excited by IP engine order 4 is 4 times that value i.e. 0.108 Hz/s.
- the frequency/time/magnitude plot of the IP shaft it is possible to see that the magnitude varies both with time and frequency. Peaks are observed where the instantaneous frequency of 4 th shaft order of the IP shaft intersects with the natural frequency range of the blade modes of the blades connected to the IP shaft.
- Other peaks along the order may relate to resonant oscillations of higher modes of the blade rows. It is possible to determine which row and which mode is excited at a given frequency by referring to the Campbell diagram for the relevant shaft.
- the envelope of magnitude of chirp Fourier transform of the selected nth engine order of the IP shaft can be
- the envelope may be displayed in both the time and frequency domain as shown in FIG. 5 and FIG. 6 .
- the blade resonant peaks may be detected from either of these envelopes using similar methods, but for the purpose of this description the detection method using the envelope in the time domain will be described.
- the signal is still relatively noisy and it is necessary to distinguish true blade resonance peaks from false peaks.
- a first method is described with reference to FIG. 7-11 .
- Two data windows are used to analyse amplitude of envelope against time. The windows are scanned through the data range with their size and spacing being maintained, the right window leading the left window. The mean value within each window is calculated and if the ratio of the mean value in the first window compared with the mean value in the second window is above a threshold then a “single peak” is said to be detected at the time corresponding to the centre of the first window.
- the second window being located to the left of, or lagging the first window
- the time duration of each collection of peaks is then calculated and, if the duration is less than a threshold value, the collection of peaks is determined not to be related to blade resonance and is discounted from further consideration.
- the collection of peaks are grouped within hatched lines 100 .
- the density of these collections of peaks is then calculated and compared with a threshold value. Any collection of peaks that is above the threshold is considered to be related to blade resonance, all other collections of peaks are considered to be false peaks. The result of applying this threshold value is depicted in FIG. 11 , where a single collection of peaks related to blade resonance is detected.
- the threshold values used can be determined empirically based on blade parameters and by analysis of the blade resonance oscillations.
- the gap duration threshold is 2 seconds
- the collection duration is 3 seconds
- the collection density is 65%.
- the second method of determining the presence of true peaks from false peaks is to use a three window method. This is substantially the same method as the two window method except that the “single peak” detection is based on the following equation:
- S i , S l and S r are mean values of envelope in the central, left and right windows respectively.
- the size and separation of the windows is selected empirically primarily based on the blade parameters and by analysis of the blade resonance oscillations.
- the amplitudes of resonance peaks corresponding to the frequency of the first and higher blade modes may be found. These values can be used to determine the health of the blades.
- the nonlinearity level of a blade increases with the appearance of a fatigue crack.
- FIG. 12 depicts the power spectral density response of an un-cracked blade at resonance over a 3 second duration. Applying the Fourier transform it is possible to generate a plot of the Fourier magnitude of the signal in the frequency domain.
- the frequency response is taken from a bench shaker test and the data relates to the fourth shaft order.
- Fundamental and higher harmonics of blade resonance oscillations are identified in the data using the moving window method in the frequency domain using three windows as described above.
- the fundamental frequency and a number of higher harmonics are detected as depicted by numerals 102 - 110 .
- a cracked blade having an 8% crack size provided a resonance response as depicted in FIG. 13 .
- the Fourier transform After applying the Fourier transform the Fourier magnitude in the frequency domain can be plotted. This is substantially of the same form as the plot for the un-cracked blade.
- a number of higher harmonics are detected that were not able to be detected for the blade in its un-cracked condition.
- the harmonics detected are indicated as numerals 102 to 124 .
- X i represents the normalised harmonic amplitude of blade resonance oscillations, and can be represented as:
- X i is the un-normalised harmonic amplitude of blade resonance oscillations
- X L and X R are averaged spectral amplitudes (i.e. interference amplitudes) of left and right windows.
- the value for F may be compared against a threshold value to determine the cracked condition. Since each test can give slightly different values for F an alternative is to average F over a number of tests and to compare the average with the threshold.
- the presence of a crack is determined using bicoherence.
- the bicoherence depends on two frequencies and is defined by the Fourier transforms of blade resonance at three frequencies and can be represented by the equation:
- Bicoherence contains phase information between harmonics of blade resonance oscillations.
- k 0 is the blade fundamental resonant frequency and (p, q) is an integer pair.
- p and q may be any integers.
- Bicoherence is a measure of coupling between two selected harmonics of the blade resonance oscillations.
- the real and imaginary components of the bicoherence of the two selected harmonics p and q are compared with a discriminant function 101 to determine the presence of a crack.
- the plot is made in two dimensional space for the blade in an uncracked condition and additionally in the cracked condition—with an 8% crack.
- the position and area of real and imaginary components of bicoherence value of the fundamental and second harmonics for cracked blades is notably different from the area of real and imaginary components of bicoherence value of the fundamental and second harmonics for un-cracked blades.
- time-frequency transforms may be used e.g. wavelet, Wigner-Ville in place of the short-time chirp-Fourier transform, though with a reduced accuracy.
- the method may be realised by programming a computer to run the method steps described in this invention.
- the computer program may be stored on a recording media.
- the invention will also have application in reciprocating apparatus, such as spark ignition engines, where periodic signals are generated in response to the movement of a piston or such like.
- reciprocating apparatus such as spark ignition engines
- periodic signals are generated in response to the movement of a piston or such like.
- pressure vessels such as a ship or other container are pressure tested by cycling through a series of pressure or temperature values, if a frequency response is induced it is possible to adapt the invention as described herein, with routine skill and experimentation, to such apparatus and thereby determine if there is a change to the apparatus.
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Aviation & Aerospace Engineering (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB0525936.1 | 2005-12-21 | ||
GBGB0525936.1A GB0525936D0 (en) | 2005-12-21 | 2005-12-21 | Methods of analysing apparatus |
PCT/GB2006/004546 WO2007071912A2 (fr) | 2005-12-21 | 2006-12-06 | Procédé d'analyse d'un appareil |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/GB2006/004546 A-371-Of-International WO2007071912A2 (fr) | 2005-12-21 | 2006-12-06 | Procédé d'analyse d'un appareil |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US13/935,924 Division US10352823B2 (en) | 2005-12-21 | 2013-07-05 | Methods of analysing apparatus |
Publications (1)
Publication Number | Publication Date |
---|---|
US20090082976A1 true US20090082976A1 (en) | 2009-03-26 |
Family
ID=35840811
Family Applications (3)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US12/085,943 Abandoned US20090082976A1 (en) | 2005-12-21 | 2006-12-06 | Methods of Analysing Apparatus |
US13/935,924 Active 2030-05-15 US10352823B2 (en) | 2005-12-21 | 2013-07-05 | Methods of analysing apparatus |
US15/018,899 Abandoned US20160187227A1 (en) | 2005-12-21 | 2016-02-09 | Methods of analysing apparatus |
Family Applications After (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US13/935,924 Active 2030-05-15 US10352823B2 (en) | 2005-12-21 | 2013-07-05 | Methods of analysing apparatus |
US15/018,899 Abandoned US20160187227A1 (en) | 2005-12-21 | 2016-02-09 | Methods of analysing apparatus |
Country Status (4)
Country | Link |
---|---|
US (3) | US20090082976A1 (fr) |
EP (1) | EP1966571A2 (fr) |
GB (1) | GB0525936D0 (fr) |
WO (1) | WO2007071912A2 (fr) |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110054822A1 (en) * | 2009-09-03 | 2011-03-03 | Rosemount Inc. | Thermowell vibration frequency diagnostic |
CN103089443A (zh) * | 2011-11-04 | 2013-05-08 | 通用电气公司 | 用于监测旋转构件的操作的系统和方法 |
US20140180606A1 (en) * | 2005-12-21 | 2014-06-26 | Rolls-Royce Plc | Methods of analysing apparatus |
JP2015046116A (ja) * | 2013-08-29 | 2015-03-12 | 沖電気工業株式会社 | データ解析装置及び方法、並びにプログラム及び記録媒体 |
CN104748952A (zh) * | 2013-12-26 | 2015-07-01 | 通用电气公司 | 监控转子叶片的健康状况的方法和系统 |
CN104748953A (zh) * | 2013-12-26 | 2015-07-01 | 通用电气公司 | 监控转子叶片的健康状况的方法和系统 |
US20150267538A1 (en) * | 2014-03-24 | 2015-09-24 | Alstom Technology Ltd | Steam turbine with resonance chamber |
US10352794B2 (en) * | 2012-10-05 | 2019-07-16 | Siemens Energy, Inc. | Turbine blade fatigue life analysis using non-contact measurement and dynamical response reconstruction techniques |
CN110095243A (zh) * | 2019-06-05 | 2019-08-06 | 哈尔滨汽轮机厂有限责任公司 | 一种汽轮机动叶片固有频率的测量装置 |
CN110687124A (zh) * | 2019-10-18 | 2020-01-14 | 佛山科学技术学院 | 一种基于视觉测振及非线性双相干谱的叶片裂纹定位方法 |
JPWO2020157818A1 (ja) * | 2019-01-29 | 2021-11-18 | Primetals Technologies Japan株式会社 | 診断装置及びこれを備えた設備並びに診断方法 |
US11352958B2 (en) * | 2020-06-03 | 2022-06-07 | Rolls-Royce Plc | Aircraft gas turbine engine with improved response to rotor unbalance |
Families Citing this family (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8313279B2 (en) * | 2008-04-21 | 2012-11-20 | General Electric Company | Dual rotor vibration monitoring |
GB0811073D0 (en) | 2008-06-18 | 2008-07-23 | Rolls Royce Plc | Timing analysis |
US7941281B2 (en) | 2008-12-22 | 2011-05-10 | General Electric Company | System and method for rotor blade health monitoring |
GB2466817B (en) | 2009-01-09 | 2010-12-08 | Rolls Royce Plc | Determination of blade vibration frequencies and/or amplitudes |
RU2613047C1 (ru) * | 2015-11-25 | 2017-03-15 | Открытое акционерное общество "Уфимское моторостроительное производственное объединение" ОАО "УМПО" | Способ вибрационной диагностики подшипниковых опор в составе газотурбинных двигателей с применением технического микрофона |
CN105844049A (zh) * | 2016-04-11 | 2016-08-10 | 同济大学 | 主动悬置被动侧加速度主阶次振动信号实时提取方法 |
EP3296195B1 (fr) * | 2016-09-16 | 2019-10-30 | Ratier-Figeac SAS | Surveillance d'état d'une hélice |
US10941725B2 (en) | 2017-06-27 | 2021-03-09 | Rolls-Royce Corporation | Vibration feedback controller |
DE102020200936A1 (de) * | 2020-01-27 | 2021-07-29 | MTU Aero Engines AG | Verfahren, Vorrichtung und graphische Benutzeroberfläche zur Analyse eines mechanischen Objektes |
DE102021204463A1 (de) * | 2021-05-04 | 2022-11-10 | Ziehl-Abegg Se | Verfahren zum Bestimmen eines Schwingungsverhaltens eines Elektromotors und/oder dessen Einbauumgebung, sowie entsprechender Elektromotor und Ventilator |
CN115560648B (zh) * | 2022-12-01 | 2023-03-14 | 成都市鸿侠科技有限责任公司 | 一种叶轮叶片径向端面跳动连续快速测量工装 |
CN115808236B (zh) * | 2023-02-02 | 2023-05-05 | 武汉理工大学 | 船用涡轮增压器故障在线监测诊断方法、装置和存储介质 |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5152172A (en) * | 1989-03-23 | 1992-10-06 | Electric Power Research Institute | Operating turbine resonant blade monitor |
US5412985A (en) * | 1992-09-18 | 1995-05-09 | Ametek Aerospace Products, Inc. | System and method for ratiometrically processing sensed speed and vibration signals for a non-uniformly rotating body |
US5471880A (en) * | 1994-04-28 | 1995-12-05 | Electric Power Research Institute | Method and apparatus for isolating and identifying periodic Doppler signals in a turbine |
US6208946B1 (en) * | 1997-09-30 | 2001-03-27 | Advantest Corp. | High speed fourier transform apparatus |
US20020035438A1 (en) * | 2000-01-12 | 2002-03-21 | Prince Thomas A. | Fast chirp transform |
US20070006636A1 (en) * | 2003-04-11 | 2007-01-11 | Oxford Biosignals Limited | Method and system for analysing tachometer and vibration data from an apparatus having one or more rotary components |
Family Cites Families (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS5631327A (en) | 1979-08-24 | 1981-03-30 | Hitachi Ltd | Method of diagnosing vibration of rotary machine |
US4408294A (en) * | 1981-03-27 | 1983-10-04 | General Electric Company | Method for on-line detection of incipient cracks in turbine-generator rotors |
US4422333A (en) * | 1982-04-29 | 1983-12-27 | The Franklin Institute | Method and apparatus for detecting and identifying excessively vibrating blades of a turbomachine |
US5258923A (en) * | 1987-07-22 | 1993-11-02 | General Electric Company | System and method for detecting the occurrence, location and depth of cracks in turbine-generator rotors |
US4918381A (en) | 1989-04-06 | 1990-04-17 | Hewlett-Packard Company | Automated method for determining total harmonic distortion |
DE4127395A1 (de) * | 1991-08-19 | 1993-02-25 | Siemens Ag | Verfahren und vorrichtung zum erkennen und orten von veraenderungen an einem bauteil einer turbine |
US5365787A (en) | 1991-10-02 | 1994-11-22 | Monitoring Technology Corp. | Noninvasive method and apparatus for determining resonance information for rotating machinery components and for anticipating component failure from changes therein |
US5501105A (en) | 1991-10-02 | 1996-03-26 | Monitoring Technology Corp. | Digital signal processing of encoder signals to detect resonances in rotating machines |
US5343404A (en) | 1992-11-12 | 1994-08-30 | Maritec Corp. | Precision digital multimeter and waveform synthesizer for multi-signals with distorted waveforms embedded in noise |
US5483833A (en) | 1994-03-22 | 1996-01-16 | Martin Marietta Energy Systems, Inc. | Method and apparatus for monitoring aircraft components |
US6289735B1 (en) * | 1998-09-29 | 2001-09-18 | Reliance Electric Technologies, Llc | Machine diagnostic system and method for vibration analysis |
US6526356B1 (en) | 2001-06-19 | 2003-02-25 | The Aerospace Corporation | Rocket engine gear defect monitoring method |
GB0202348D0 (en) * | 2002-02-01 | 2002-03-20 | Bae Systems Plc | Damping of vibrations |
PL200003B1 (pl) * | 2002-08-26 | 2008-11-28 | Abb Sp Zoo | Sposób wykrywania i automatycznej identyfikacji defektów urządzeń technicznych |
CA2571022C (fr) * | 2004-07-02 | 2014-06-10 | University Of Alberta | Detection et quantification du frottement au depart |
US7546769B2 (en) | 2005-12-01 | 2009-06-16 | General Electric Compnay | Ultrasonic inspection system and method |
GB0525936D0 (en) * | 2005-12-21 | 2006-02-01 | Rolls Royce Plc | Methods of analysing apparatus |
-
2005
- 2005-12-21 GB GBGB0525936.1A patent/GB0525936D0/en not_active Ceased
-
2006
- 2006-12-06 WO PCT/GB2006/004546 patent/WO2007071912A2/fr active Application Filing
- 2006-12-06 US US12/085,943 patent/US20090082976A1/en not_active Abandoned
- 2006-12-06 EP EP06820429A patent/EP1966571A2/fr not_active Withdrawn
-
2013
- 2013-07-05 US US13/935,924 patent/US10352823B2/en active Active
-
2016
- 2016-02-09 US US15/018,899 patent/US20160187227A1/en not_active Abandoned
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5152172A (en) * | 1989-03-23 | 1992-10-06 | Electric Power Research Institute | Operating turbine resonant blade monitor |
US5412985A (en) * | 1992-09-18 | 1995-05-09 | Ametek Aerospace Products, Inc. | System and method for ratiometrically processing sensed speed and vibration signals for a non-uniformly rotating body |
US5471880A (en) * | 1994-04-28 | 1995-12-05 | Electric Power Research Institute | Method and apparatus for isolating and identifying periodic Doppler signals in a turbine |
US6208946B1 (en) * | 1997-09-30 | 2001-03-27 | Advantest Corp. | High speed fourier transform apparatus |
US20020035438A1 (en) * | 2000-01-12 | 2002-03-21 | Prince Thomas A. | Fast chirp transform |
US20070006636A1 (en) * | 2003-04-11 | 2007-01-11 | Oxford Biosignals Limited | Method and system for analysing tachometer and vibration data from an apparatus having one or more rotary components |
Cited By (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140180606A1 (en) * | 2005-12-21 | 2014-06-26 | Rolls-Royce Plc | Methods of analysing apparatus |
US10352823B2 (en) * | 2005-12-21 | 2019-07-16 | Rolls-Royce Plc | Methods of analysing apparatus |
US20110054822A1 (en) * | 2009-09-03 | 2011-03-03 | Rosemount Inc. | Thermowell vibration frequency diagnostic |
US10156480B2 (en) * | 2009-09-03 | 2018-12-18 | Rosemount Inc. | Thermowell vibration frequency diagnostic |
CN103089443A (zh) * | 2011-11-04 | 2013-05-08 | 通用电气公司 | 用于监测旋转构件的操作的系统和方法 |
US20130111982A1 (en) * | 2011-11-04 | 2013-05-09 | Thomas James Batzinger | Systems and Methods For Use In Monitoring Operation Of A Rotating Component |
US8505364B2 (en) * | 2011-11-04 | 2013-08-13 | General Electric Company | Systems and methods for use in monitoring operation of a rotating component |
US10352794B2 (en) * | 2012-10-05 | 2019-07-16 | Siemens Energy, Inc. | Turbine blade fatigue life analysis using non-contact measurement and dynamical response reconstruction techniques |
JP2015046116A (ja) * | 2013-08-29 | 2015-03-12 | 沖電気工業株式会社 | データ解析装置及び方法、並びにプログラム及び記録媒体 |
CN104748952A (zh) * | 2013-12-26 | 2015-07-01 | 通用电气公司 | 监控转子叶片的健康状况的方法和系统 |
CN104748953A (zh) * | 2013-12-26 | 2015-07-01 | 通用电气公司 | 监控转子叶片的健康状况的方法和系统 |
US20150184533A1 (en) * | 2013-12-26 | 2015-07-02 | General Electric Company | Methods and systems to monitor health of rotor blades |
US9920628B2 (en) * | 2014-03-24 | 2018-03-20 | General Electric Technology Gmbh | Steam turbine with resonance chamber |
US20150267538A1 (en) * | 2014-03-24 | 2015-09-24 | Alstom Technology Ltd | Steam turbine with resonance chamber |
JPWO2020157818A1 (ja) * | 2019-01-29 | 2021-11-18 | Primetals Technologies Japan株式会社 | 診断装置及びこれを備えた設備並びに診断方法 |
JP7077426B2 (ja) | 2019-01-29 | 2022-05-30 | Primetals Technologies Japan株式会社 | 診断装置及びこれを備えた設備並びに診断方法 |
CN110095243A (zh) * | 2019-06-05 | 2019-08-06 | 哈尔滨汽轮机厂有限责任公司 | 一种汽轮机动叶片固有频率的测量装置 |
CN110687124A (zh) * | 2019-10-18 | 2020-01-14 | 佛山科学技术学院 | 一种基于视觉测振及非线性双相干谱的叶片裂纹定位方法 |
US11352958B2 (en) * | 2020-06-03 | 2022-06-07 | Rolls-Royce Plc | Aircraft gas turbine engine with improved response to rotor unbalance |
US11359549B2 (en) * | 2020-06-03 | 2022-06-14 | Rolls-Royce Plc | Aircraft engine |
Also Published As
Publication number | Publication date |
---|---|
WO2007071912A3 (fr) | 2008-06-26 |
US20160187227A1 (en) | 2016-06-30 |
US20140180606A1 (en) | 2014-06-26 |
EP1966571A2 (fr) | 2008-09-10 |
GB0525936D0 (en) | 2006-02-01 |
WO2007071912A2 (fr) | 2007-06-28 |
US10352823B2 (en) | 2019-07-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10352823B2 (en) | Methods of analysing apparatus | |
Dalpiaz et al. | Effectiveness and sensitivity of vibration processing techniques for local fault detection in gears | |
Lei et al. | Fault diagnosis of rotating machinery using an improved HHT based on EEMD and sensitive IMFs | |
EP3049788B1 (fr) | Détection d'un défaut d'engrenage | |
Eftekharnejad et al. | The application of spectral kurtosis on acoustic emission and vibrations from a defective bearing | |
Shibata et al. | Fault diagnosis of rotating machinery through visualisation of sound signals | |
US8752394B2 (en) | Determining fan parameters through pressure monitoring | |
EP2237003B1 (fr) | Méthode d'analyse des vibrations dans des aubes de rotor | |
WO2008093349B1 (fr) | Procédé de détection en ligne non intrusive de l'état d'aubes de turbine | |
JP2000506262A (ja) | ターボ機械を監視するための多重センサ装置および方法 | |
Dalpiaz et al. | Gear fault monitoring: comparison of vibration analysis techniques | |
Krause et al. | Asynchronous response analysis of non-contact vibration measurements on compressor rotor blades | |
Courrech et al. | Condition monitoring of machinery | |
Kumar et al. | Vibration signal analysis using time and timefrequency domain | |
Elbarghathi et al. | Two stage helical gearbox fault detection and diagnosis based on continuous wavelet transformation of time synchronous averaged vibration signals | |
Bhende et al. | Comprehensive bearing condition monitoring algorithm for incipient fault detection using acoustic emission | |
Omar et al. | Gear tooth diagnosis using wavelet multi-resolution analysis enhanced by Kaiser’s windowing | |
Hemmati et al. | Rolling element bearing condition monitoring using acoustic emission technique | |
Somashekar et al. | Vibration signature analysis of ic engine | |
Klinchaeam et al. | Fault detection of a spur gear using vibration signal with multivariable statistical parameters. | |
Sanders | A guide to vibration analysis and associated techniques in condition monitoring | |
Wändell | Multistage gearboxes: Vibration based quality control | |
Rathna Prasad et al. | Diagnostics of fatigue crack in the shaft using spectral kurtosis | |
Ullah et al. | State of the Art Vibration Analysis of Electrical Rotating Machines | |
Tuma et al. | Assessment of gear quality considering the time domain analysis of noise and vibration signals |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: ROLLS-ROYCE PLC, GREAT BRITAIN Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:ANUZIS, PAUL;GELMAN, LEONID MOISEEVICH;REEL/FRAME:021074/0315;SIGNING DATES FROM 20080424 TO 20080427 |
|
STCB | Information on status: application discontinuation |
Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION |