Sound pressure-based vibration estimation device, sound pressure-based vibration measurement system, and sound pressure-based vibration measurement method

Abstract

To provide a sound pressure using vibration estimation device, a sound pressure using vibration measurement system and a sound pressure using vibration measuring method that can easily estimate vibrations using sound pressure data.SOLUTION: A sound pressure using vibration estimation device 100 comprises an input part 110, an arithmetic part 120, a storage part 130, and an output part 140. The arithmetic part 120 has: an operation condition dependency characteristic derivation part 125 which previously derives dependency characteristics of caused sound pressure spectrum caused by vibrations of an object region under a plurality of operation conditions, upon the plurality of operation conditions; an object region caused sound pressure calculation part 123 which calculates an object region caused sound pressure spectrum, caused by vibrations of the respective object region on the basis of a sound pressure spectrum obtained for sound pressure at a response point and the dependency characteristics; and a conversion part 127 which converts the object region caused sound pressure spectrum into a vibration spectrum to derive an object region caused vibration spectrum.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a sound pressure-based vibration estimation device, a sound pressure-based vibration measurement system, and a sound pressure-based vibration measurement method. [Background technology]

[0002] Generally, to understand the vibration characteristics of equipment in detail, such as for condition diagnosis, multi-point measurements are taken using vibration sensors. However, it can sometimes be difficult to permanently install sensors on the equipment.

[0003] Therefore, a technique is known that uses measurement data of vibration and sound pressure to identify the transfer function between vibration and sound pressure and to calculate the contribution rate of each part. [Prior art documents] [Patent Documents]

[0004] [Patent Document 1] Patent No. 4028562 [Overview of the project] [Problems that the invention aims to solve]

[0005] The method described above, which identifies the transfer function between vibration and sound pressure using vibration and sound pressure measurement data and calculates the contribution rate of each part, cannot estimate vibration for unknown sound pressure data. Furthermore, it cannot distinguish between parts that have the same transfer characteristics.

[0006] The object of the present invention is to provide a sound pressure-based vibration estimation device, a sound pressure-based vibration measurement system, and a sound pressure-based vibration measurement method that can easily estimate vibrations using sound pressure data. [Means for solving the problem]

[0007] To achieve the above object, a sound pressure utilization vibration estimation device according to an embodiment of the present invention includes an input unit, a calculation unit, a storage unit, and an output unit, and is a sound pressure utilization vibration estimation device for estimating vibrations of a plurality of target parts. The calculation unit is caused by vibrations of the target parts under a plurality of operating conditions First of the sound pressure spectrum caused by the target part The aforementioned a plurality of luck a driving condition dependence characteristic derivation unit that derives in advance the dependence characteristics on the driving conditions; A driving condition-dependent characteristic storage unit that stores in advance in a database the first target site-induced sound pressure spectrum and the dependency characteristics corresponding to the plurality of driving conditions, and the database stored Based on the dependence characteristics, the First an interpolation / extrapolation value calculation unit that derives the sound pressure spectrum caused by the target part in the operating state, the sound pressure spectrum obtained for the sound pressure at the response point, and The interpolation and extrapolation value calculation unit derived the above the First Based on the sound pressure spectrum caused by the target part in the operating state, the sound pressure spectrum caused by vibrations of each of the target parts and the second that constitutes the sound pressure spectrum a target part-caused sound pressure calculation unit that calculates the sound pressure spectrum caused by the target part; The sound pressure calculated by the aforementioned target area-derived sound pressure calculation unit the Second a conversion unit that converts the sound pressure spectrum caused by the target part into a vibration spectrum and derives the vibration spectrum of the target part position swing and is characterized by having.

Brief Description of Drawings

[0008] [Figure 1] It is a block diagram showing the configuration of a sound pressure utilization vibration measurement system according to the first embodiment. [Figure 2] It is a block diagram for explaining data collection in the sound pressure utilization vibration measurement method according to the first embodiment. [Figure 3] It is a flowchart showing the overall procedure of the sound pressure utilization vibration measurement method according to the first embodiment. [Figure 4] It is a flowchart showing details of the data collection and frequency spectrum collection steps at each output in the sound pressure utilization vibration measurement method according to the first embodiment. [Figure 5] It is a graph showing the frequency spectrum of vibrations at the first target part obtained by data collection in the sound pressure utilization vibration measurement method according to the first embodiment. [Figure 6]This graph shows the frequency spectrum of vibration at a second target site obtained by data acquisition in the sound pressure-based vibration measurement method according to the first embodiment. [Figure 7] This graph shows the frequency spectrum of vibration at the third target area obtained by data acquisition in the sound pressure-based vibration measurement method according to the first embodiment. [Figure 8] This graph shows the frequency spectrum of vibration at the fourth target area obtained by data acquisition in the sound pressure-based vibration measurement method according to the first embodiment. [Figure 9] This graph shows the frequency spectrum of sound pressure obtained by data acquisition in the sound pressure-based vibration measurement method according to the first embodiment. [Figure 10] This is a flowchart showing the details of the data organization and storage steps at each output in the sound pressure-based vibration measurement method according to the first embodiment. [Figure 11] This is a conceptual diagram illustrating the derivation of output-dependent characteristics in the data organization and storage step for each output in the sound pressure-based vibration measurement method according to the first embodiment. [Figure 12] This graph shows an example of deriving the output-dependent characteristics of the sound pressure level originating from the first target part at frequency f, obtained in the data organization and storage step at each output in the sound pressure-based vibration measurement method according to the first embodiment. [Figure 13] This graph shows an example of deriving the output-dependent characteristics of the sound pressure level originating from the second target part at frequency f, obtained in the data organization and storage step at each output in the sound pressure-based vibration measurement method according to the first embodiment. [Figure 14] This graph shows an example of deriving the output-dependent characteristics of the sound pressure level originating from the third target part at frequency f, obtained in the data organization and storage step at each output in the sound pressure-based vibration measurement method according to the first embodiment. [Figure 15] This graph shows an example of deriving the output-dependent characteristics of the sound pressure level at frequency f, which originates from the fourth target part, obtained in the data organization and storage step at each output in the sound pressure-based vibration measurement method according to the first embodiment. [Figure 16]This is a flowchart showing the details of the evaluation and determination steps for the operating state in the sound pressure-based vibration measurement method according to the first embodiment. [Figure 17] This is a block diagram showing the configuration of a sound pressure-based vibration measurement system according to the second embodiment. [Figure 18] This is a block diagram illustrating data acquisition in the sound pressure-based vibration measurement method according to the second embodiment. [Figure 19] This is the first graph illustrating the effect of the sound pressure-based vibration measurement method according to the second embodiment. [Figure 20] This is a second graph illustrating the effect of the sound pressure-based vibration measurement method according to the second embodiment. [Modes for carrying out the invention]

[0009] Hereinafter, with reference to the drawings, a sound pressure-based vibration estimation device, a sound pressure-based vibration measurement system, and a sound pressure-based vibration measurement method according to embodiments of the present invention will be described. Here, parts that are identical or similar to each other are denoted by the same reference numerals, and redundant explanations are omitted.

[0010] [First Embodiment] Figure 1 is a block diagram showing the configuration of a sound pressure-based vibration measurement system according to the first embodiment.

[0011] The sound pressure-based vibration measurement system 200 comprises multiple vibration measuring instruments 10 for measuring the vibrations of multiple target parts 1a to 1d (Figure 2) on the object to be measured 1 (Figure 2), a sound pressure measuring instrument 30 for measuring the sound pressure at the response point, and a sound pressure-based vibration estimation device 100. Here, the response point is selected as a position where the sound caused by vibrations occurring at all target parts can be grasped.

[0012] The sound pressure-based vibration estimation device 100 comprises an input unit 110, a calculation unit 120, a storage unit (database) 130, and an output unit 140.

[0013] The input unit 110 accepts vibration measurements from each of the multiple vibration measuring instruments 10 and sound pressure measurements from the sound pressure measuring instrument 30. The input unit 110 also accepts other external inputs, such as the normal vibration spectrum of each target part under normal conditions.

[0014] The calculation unit 120 includes an AD converter 121, a frequency spectrum generation unit 122, a target site-induced sound pressure calculation unit 123, an interpolation / extrapolation value calculation unit 124, an operating condition-dependent characteristic derivation unit 125, a conversion unit 127, and an abnormality evaluation determination unit 128.

[0015] The AD converter 121 performs AD conversion when the vibration data and sound pressure data are analog signals. If the vibration data and sound pressure data are digital signals, the AD converter 121 is not necessary.

[0016] The frequency spectrum generation unit 122 derives the frequency spectra of vibration measurements (hereinafter referred to as "vibration spectra") and sound pressure measurements (hereinafter referred to as "sound pressure spectra") stored in the vibration data storage unit 131 and sound pressure data storage unit 132 of the storage unit 130, respectively. If both the vibration measuring instrument 10 and the sound pressure measuring instrument 30 are equipped with an FFT (Fast Fourier Transformation) function, the frequency spectrum generation unit 122 is unnecessary. In this case, the input unit 110 accepts the vibration spectra and sound pressure spectra.

[0017] The target area-induced sound pressure calculation unit 123 calculates the contribution of the target area-induced sound pressure spectrum to the measured sound pressure spectrum based on the vibration spectrum and sound pressure spectrum of each target area. Alternatively, as will be described later, the contribution of the vibration spectrum of the target area to the measured sound pressure spectrum may be calculated directly.

[0018] The interpolation / extrapolation value calculation unit 124 uses a database based on calculation results obtained in a predetermined operating state to perform interpolation or extrapolation to operating states other than the predetermined operating state.

[0019] The operating condition-dependent characteristic derivation unit 125 derives the operating condition-dependent characteristics of the vibration level at each frequency based on the vibration spectrum and sound pressure spectrum obtained under each operating condition. Here, the operating conditions are, for example, the output and rotational speed of a rotating machine, and in the following explanation, the output is used as an example.

[0020] The conversion unit 127 performs mutual conversion between sound pressure values ​​and vibration values ​​for each target part. The conversion unit 127 calculates the contribution coefficient based on the calculation result of the target part-induced sound pressure calculation unit 123. The conversion unit 127 uses the contribution coefficient for each target part when converting from sound pressure values ​​to vibration values ​​for each target part.

[0021] The abnormality evaluation determination unit 128 derives a numerical value that can be compared with the determination value based on the vibration value of each target part converted from the sound pressure value by the conversion unit, and determines whether or not there is an abnormality.

[0022] The memory unit 130 includes a vibration data memory unit 131, a sound pressure data memory unit 132, a vibration spectrum memory unit 133, a sound pressure spectrum memory unit 134, a sound pressure memory unit 135 originating from a target area, and a driving condition dependent characteristic memory unit 136.

[0023] The vibration data storage unit 131 and the sound pressure data storage unit 132 store and save the vibration measurement values ​​and sound pressure measurement values ​​received by the input unit 110. In the case of analog data, the data is stored after being converted from analog to digital by the AD converter 121 of the calculation unit 120.

[0024] The vibration spectrum storage unit 133 and the sound pressure spectrum storage unit 134 store the vibration spectrum and sound pressure spectrum derived by the frequency spectrum generation unit 122, respectively. The vibration spectrum storage unit 133 also stores, for example, the vibration spectrum of each target part under normal conditions, which is received as an external input by the input unit 110.

[0025] The target area-induced sound pressure storage unit 135 stores and remembers the contribution of the target area-induced sound pressure spectrum or vibration spectrum, calculated by the target area-induced sound pressure calculation unit 123, to the measured sound pressure spectrum.

[0026] The operating condition-dependent characteristic storage unit 136 stores and stores the operating condition-dependent characteristics of the vibration level derived by the operating condition-dependent characteristic derivation unit 125.

[0027] The contribution coefficient storage unit 137 stores and stores the contribution coefficients for each target part, which are used for mutual conversion between the sound pressure value and vibration value of each target part.

[0028] First, the overall configuration of the system for data acquisition will be explained. Figure 2 is a block diagram of the sound pressure-based vibration measurement system 200, which illustrates data acquisition in the sound pressure-based vibration measurement method according to the first embodiment.

[0029] For the object to be measured 1, vibration measuring instruments 10, namely the first vibration measuring instrument 11, the second vibration measuring instrument 12, the third vibration measuring instrument 13, and the fourth vibration measuring instrument 14, are installed at four target parts a, 1b, 1c, and 1d. In addition, a sound pressure measuring instrument 30 is installed at the evaluation position. The sound pressure-based vibration estimation device 100 receives the outputs of the first vibration measuring instrument 11, the second vibration measuring instrument 12, the third vibration measuring instrument 13, the fourth vibration measuring instrument 14, and the sound pressure measuring instrument 30.

[0030] Figure 3 is a flowchart showing the overall procedure of the sound pressure-based vibration measurement method according to the first embodiment.

[0031] The sound pressure-based vibration measurement method includes a database creation step which has steps for data acquisition and frequency spectrum acquisition under various operating conditions (S110), and a data organization and storage step (S120), and an operating state evaluation and determination step which has steps for acquiring operating data (S210) and determining the vibration level at each target part (S220).

[0032] Figure 4 is a flowchart showing the details of step S110, the data acquisition and frequency spectrum acquisition step at each output in the sound pressure-based vibration measurement method according to the first embodiment. As mentioned above, the example in which the output is used as the operating condition will be explained.

[0033] First, we set j=1 as the first output level (step S111), and output level W j Perform the driving (step S112).

[0034] Output level W j During operation at output Wj, vibration data is collected at each target part k (k=1 to K) (step S113). In the configuration shown in Figure 1, the input unit 110 receives the signal from the vibration measuring instrument 10. In the configuration shown in Figure 2, K=4. Next, the vibration spectrum Akj(f) is derived based on each vibration data (step S114). Specifically, the frequency spectrum generation unit 122 generates the frequency spectrum (vibration spectrum) of the vibration data by, for example, FFT. Here, Akj(f) is the magnitude of the vibration corresponding to frequency f for the target part k during operation at output Wj. The magnitude of the vibration is, for example, the amplitude value or the magnitude of the single amplitude.

[0035] In parallel with steps S113 and S114, sound pressure data at the response point is collected (step S115). In the configuration shown in Figure 1, the input unit 110 receives the signal from the sound pressure measuring instrument 30. Next, the sound pressure spectrum Pj(f) is derived based on the sound pressure data (step S116). Specifically, the frequency spectrum generation unit 122 generates the frequency spectrum (sound pressure spectrum) of the sound pressure data, for example, by FFT. Here, Pj(f) is the magnitude of the sound pressure corresponding to frequency f in the operating state at output Wj. The magnitude of the sound pressure is, like vibration, for example, the amplitude value or the magnitude of the single amplitude.

[0036] Next, we determine whether j≧J holds true (step S117). For example, if we are taking measurements with three levels of output, J=3. The following explanation will use the case where J=3 as an example.

[0037] If it is not determined that j≧J is true (step S117 NO), the value of j is increased by 1 (step S118), and then the process returns to step S112.

[0038] If it is determined that j≧J is true (step S117 YES), proceed to the next step S120. The obtained outputs W1~W J The vibration spectrum Akj(f) of each target part is stored in the vibration spectrum storage unit 133, and the resulting sound pressure spectrum Pj(f) is stored in the sound pressure spectrum storage unit 134.

[0039] Figure 5 shows the frequency spectrum A of the vibration at the first target site obtained by data acquisition in the sound pressure-based vibration measurement method according to the first embodiment. 1j Figure 6 shows the frequency spectrum of vibration at the second target site A. 2j Figure 7 shows the frequency spectrum of vibration at the third target site A. 3j Figure 8 shows the frequency spectrum of vibration at the fourth target site A. 4j These are graphs that show each of these.

[0040] Figure 9 is a graph showing the frequency spectrum of sound pressure obtained by data acquisition in the sound pressure-based vibration measurement method according to the first embodiment.

[0041] Next, step S120 will be described. Figure 10 is a flowchart showing the details of the data organization and storage step S120 at each output in the sound pressure-based vibration measurement method according to the first embodiment. Step S120 includes a decomposition step S121 to sound pressure originating from the target site and a derivation step S122 to output-dependent characteristics.

[0042] In step S121, which involves decomposition of sound pressure originating from the target area, the sound pressure calculation unit 123 derives the contribution of each target area's vibration spectrum Akj(f) to the sound pressure spectrum Pj(f) obtained in step S110.

[0043] Here, the sound pressure spectrum Pkj(f) at the response point resulting from the vibration spectrum Akj(f) of each target part k is expressed by the following equation (1). Pkj(f) = Ck·Akj(f) …(1) Here, the coefficient Ck is a constant specific to the target site k.

[0044] Furthermore, the sound pressure spectrum Pj(f) at the response point is the weighted sum of the target-source-induced sound pressure spectra Pkj(f) resulting from the vibration of each target site k at the response point, and is expressed as shown in equation (2) below. Pj(f)=Σ〔Dk·Pkj(f)〕 …(2) Here, Σ represents the sum from k=1 to K (number of target sites). Also, Dk is a weighting coefficient proportional to the contribution of the target site-induced sound pressure spectrum Pkj(f) to the sound pressure spectrum Pj(f).

[0045] From equations (1) and (2), we obtain equation (3). Pj(f)=Σ〔Dk·Ck·Akj(f)〕 …(3)

[0046] Here, if we set Dk·Ck=λk, we obtain the following equation (4). Pj(f)=Σ〔λk·Akj(f)〕 …(4)

[0047] In other words, the sound pressure spectrum Pj(f) is the sum of the values ​​obtained by multiplying the vibration spectrum Akj(f) of each target part k by the contribution coefficient λk. Therefore, the contribution coefficient λk can be determined when the sound pressure spectrum Pj(f) shown in Figure 9 is represented as a linear sum of the vibration spectra Akj(f) of each target part k shown in Figures 5 to 8.

[0048] The conversion unit 127 calculates the contribution coefficient λk for each target site, for example, by the following method. The calculated contribution coefficient λk is stored and memorized in the contribution coefficient storage unit 137.

[0049] The shape function of the vibration spectrum Akj(f) is invariant. Therefore, a set of simultaneous equations may be created using the required number N of representative frequencies frn (n = 1 to N), and the contribution coefficient λk as an unknown may be calculated. In this case, N is the number K of target sites.

[0050] Alternatively, it may be calculated by autoregression using a sufficient number N (N >> M) of equations.

[0051] Once the contribution coefficient λk is calculated in this way, λk·Akj(f) is the sound pressure spectrum due to the target site that constitutes Pj(f), so this is rewritten as Pkj(f). That is, Pj(f) is decomposed into the sound pressure spectrum Pkj(f) due to the target site, and the purpose of step S121 is achieved.

[0052] Next, the derivation step S122 of the output-dependent characteristics shown in FIG. 10 will be described with reference to FIG. 11. FIG. 11 is a conceptual diagram for explaining the derivation of the output-dependent characteristics in the data arrangement and storage step at each output in the sound pressure utilization vibration measurement method according to the first embodiment. FIG. 11 is a matrix for a certain target site k (k = 1 to K). Each row is the case when the output Wj (j = 1 to J) is changed, and FIG. 11 shows the case of J = 3. Also, each row is for when the frequency f i (f i = f min ~ f max ) is changed. Therefore, the first row is the target site-induced sound pressure spectrum Pk1(f) due to the target site k at the output W1, the second row is the target site-induced sound pressure spectrum Pk2(f) due to the target site k at the output W2, and the fourth row is the target site-induced sound pressure spectrum Pk3(f) due to the target site k at the output W3. The third row will be explained together when explaining step S220 described later, so the explanation here is omitted.

[0053] In the output-dependent characteristic derivation step S122 shown in Figure 10, the operating condition-dependent characteristic derivation unit 125 first sets the frequency f as an initial value. i =f min This is set (step S122a). This is the first column of the matrix shown in Figure 11.

[0054] Next, the selected frequency f i Extract the data for each output level at frequency fi (step S122b). As shown in Figure 11, the data for each output level at frequency fi are sound pressure level Pk1(fi), sound pressure level Pk2(f i ), sound pressure level Pk3(f i Three data points are obtained from this.

[0055] Next, the operating condition-dependent characteristic derivation unit 125 calculates the sound pressure level Pkj(f) at each frequency. i The dependency characteristic on the output Wj of ) is derived (step S122c).

[0056] Figures 12 to 15 are graphs showing examples of the derivation of the output-dependent characteristics at frequency f of the sound pressure level originating from the first to fourth target parts, obtained in the data organization and storage step at each output in the sound pressure-based vibration measurement method according to the first embodiment. The horizontal axis of each graph represents the output W as an example of operating conditions. j In this example, the outputs are W1, W2, and W3. The vertical axis represents frequency f. i Sound pressure level Pkj(f) originating from the k-th site i )

[0057] Next, the operating condition-dependent characteristic derivation unit 125 calculates the frequency f i ga f max Determine whether or not this is the case (step S122d). Frequency f i ga f max If it is not determined to be (step S122d NO), a new f i to f i Let +Δf (step S122e), and return to step S122b.

[0058] In the above, f min and f max This represents the frequency range of the obtained frequency spectrum, where Pkj(f) is the sound pressure level at each frequency. i The spectrum of ) may be narrowed if it includes characteristic parts such as peak values. Δf should be small enough to ensure the required accuracy, for example, one order of magnitude smaller than the full width at half maximum of each peak.

[0059] frequency f i ga f max If it is determined that (step S122d YES), proceed to the next step 200.

[0060] As described above, the data organization and storage step S120 yields sound pressure spectra Pk(W,f) originating from each output-dependent target part k, and these are stored in the operating condition-dependent characteristic storage unit 136 as a database, along with the matrix shown in Figure 11.

[0061] Next, the evaluation and determination step 200 of the operating conditions will be explained. Step S200 uses the database created in step S100 to derive the vibration spectrum of each target part k based on the sound pressure spectrum at the acquired response point under arbitrary operating conditions, and identifies the location of the abnormality.

[0062] Figure 16 is a flowchart showing the details of the evaluation and determination step S200 of the operating state in the sound pressure-based vibration measurement method according to the first embodiment.

[0063] Step S200 includes step 210, which acquires sound pressure data and sound pressure spectrum during operation at output Wh, and step S220, which identifies the vibration level at each target part k.

[0064] Step S210 yields the sound pressure spectrum Ph(f) at the response point.

[0065] In step S220, first, the frequency fi to f min Set to (step S221).

[0066] Next, frequency f i The sound pressure level is interpolated to the output Wh (step S222). That is, the interpolation and extrapolation value calculation unit 124 uses the dependence on the output, which is the operating condition shown in Figures 12 to 15, to calculate the respective sound pressure values ​​Pkh(f) originating from the target site at the output Wh. i ) is obtained by interpolation.

[0067] Next, the interpolation / extrapolation value calculation unit 124 calculates the frequency f i ga f max Determine whether or not it is (step S223). Frequency f i ga f max If it is not determined that this is the case (step S223 NO), a new f i to f i Let Δf be +Δf (step S224), and return to step S222. Here, Δf can be the same value as in step S122.

[0068] frequency f i ga f max If it is determined that this is the case (step S223 YES), then the sound pressure spectra Pkh(f) for each output Wh shown in the third row of the matrix in Figure 11 are obtained as a result.

[0069] Next, the sound pressure spectrum Ph(f) is decomposed into the sound pressure spectrum Pkh(f) originating from the target area (step S225). This is the same as what was explained in step S121, so the explanation is omitted.

[0070] Next, the conversion unit 127 derives the contribution coefficient λk of each target site-induced sound pressure spectrum Pkh(f) (step S226). The derivation of the contribution coefficient λk is the same as described in step S121, so the explanation is omitted.

[0071] Next, the conversion unit 127 derives the vibration spectrum Akh(f) at each target site k (step S227). Specifically, as explained in step S121, the sound pressure spectrum Pkh(f) originating from the target site is λk·Akh(f). Therefore, the vibration spectrum Akh(f) of the target site can be derived using the sound pressure spectrum Pkh(f) originating from the target site and the contribution coefficient λk.

[0072] As described above, according to this embodiment, at any output Wh, the vibration spectrum Akh(f) at each target site k can be derived from the sound pressure spectrum Ph(f) at the acquired response point.

[0073] The abnormality evaluation and determination unit 128 uses the vibration spectrum Akh(f) of each target part k to compare it with data from normal conditions and determines whether or not there is an abnormality in each target part.

[0074] The determination may be made by, for example, comparing the vibration spectrum Akh(f) of the target area itself with the normal vibration spectrum of the target area as data for normal conditions and determining if it is abnormal. Alternatively, the power spectral density PSD(f) of the vibration may be calculated and compared with the power spectral density of the vibration of the target area in a normal state as data for normal conditions and determining if it is abnormal. Alternatively, it may be converted to another index for comparison and determination of abnormality. The normal value as a predetermined threshold to be compared, and the threshold of deviation from normal used for determination, may be received from the outside via the input unit 110 and stored in the vibration spectrum storage unit 133.

[0075] [Second Embodiment] Figure 17 is a block diagram illustrating the configuration of the sound pressure-based vibration measurement system 200a according to the second embodiment. Figure 18 is a block diagram illustrating data acquisition in the sound pressure-based vibration measurement method according to the second embodiment.

[0076] This embodiment is a modification of the first embodiment. As shown in Figure 18, this embodiment is effective when, for example, multiple rotating electric machines of the same specifications are installed as the object to be measured. In the example shown in Figure 18, there are object 1 and object 2, and the target parts 1a, 1b, 1c, and 1d (target parts 1) of object 1 and the target parts 2a, 2b, 2c, and 2d (target parts 2) of object 2 are corresponding parts to each other. In such a case, if there is an abnormality in any part of object 1 or object 2, it is difficult to determine whether the abnormality occurred in object 1 or object 2.

[0077] As shown in Figure 18, the sound pressure-based vibration measurement system 200a in this embodiment has, at three response points, a sound pressure measuring instrument 30 similar to that in the first embodiment, as well as a sound pressure measuring instrument 30a and a sound pressure measuring instrument 30b. The sound pressure measuring instrument 30a is located closer to the object to be measured 1 than to the object to be measured 2. Similarly, the sound pressure measuring instrument 30b is located closer to the object to be measured 2 than to the object to be measured 1.

[0078] The calculation unit 120a of the sound pressure-based vibration estimation device 100a further includes a correction unit 126. The correction unit 126 performs corrections using sound pressure spectra acquired from sound pressure measuring instruments 30a and 30b.

[0079] Figure 19 is a first graph illustrating the effect of the sound pressure-based vibration measurement method according to the second embodiment. Figure 20 is a second graph illustrating the effect of the sound pressure-based vibration measurement method according to the second embodiment. In both figures, the horizontal axis represents frequency and the vertical axis represents vibration acceleration. The dashed lines represent calculated values, and the solid lines represent measured values.

[0080] The first graph in Figure 19 shows the case without correction, while the second graph in Figure 20 shows the case with correction. From Figures 19 and 20, it is clear that when correction is applied, the calculated values ​​are very close to the measured values.

[0081] As described above, the embodiments make it possible to provide a sound pressure-based vibration estimation device, a sound pressure-based vibration measurement system, and a sound pressure-based vibration measurement method that can easily estimate vibrations using sound pressure data.

[0082] [Other embodiments] Although embodiments of the present invention have been described above, these embodiments are presented as examples and are not intended to limit the scope of the invention. Furthermore, the features of each embodiment may be combined. Moreover, the embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. Embodiments and their variations are included in the scope and spirit of the invention, as well as in the claims and their equivalents. [Explanation of Symbols]

[0083] 1...Object to be measured, 1a, 1b, 1c, 1d...Target part 1, 2...Object to be measured, 2a, 2b, 2c, 2d...Target part 2, 10...Vibration measuring instrument, 11...First vibration measuring instrument, 12...Second vibration measuring instrument, 13...Third vibration measuring instrument, 14...Fourth vibration measuring instrument, 20...Vibration measuring instrument, 21...First vibration measuring instrument, 22...Second vibration measuring instrument, 23...Third vibration measuring instrument, 24...Fourth vibration measuring instrument, 30, 30a, 30b...Sound pressure measuring instrument, 100, 100a...Sound pressure-based vibration estimation device, 110...Input unit, 120, 120a...Calculation unit, 121...AD converter, 122... Frequency spectrum generation unit, 123... Target area-derived sound pressure calculation unit, 124... Interpolation / extrapolation value calculation unit, 125... Operating condition-dependent characteristic derivation unit, 126... Correction unit, 127... Conversion unit, 128... Anomaly evaluation judgment unit, 130... Memory unit (database), 131... Vibration data storage unit, 132... Sound pressure data storage unit, 133... Vibration spectrum storage unit, 134... Sound pressure spectrum storage unit, 135... Target area-derived sound pressure storage unit, 136... Operating condition-dependent characteristic storage unit, 137... Contribution coefficient storage unit, 140... Output unit, 200, 200a... Sound pressure-based vibration measurement system

Claims

1. A sound pressure-based vibration estimation device comprising an input unit, a calculation unit, a storage unit, and an output unit, for estimating vibrations of multiple target parts, The aforementioned arithmetic unit, A driving condition-dependent characteristic derivation unit that pre-derives the dependency characteristics of a first target area-induced sound pressure spectrum resulting from vibration of the target area under multiple driving conditions, A driving condition-dependent characteristic storage unit stores in advance in a database the first target site-induced sound pressure spectrum and the dependency characteristics corresponding to the plurality of driving conditions, An interpolation and extrapolation value calculation unit that derives the first target site-induced sound pressure spectrum in the operating state based on the dependency characteristics stored in the database, A target-part-induced sound pressure calculation unit calculates a second target-part-induced sound pressure spectrum that constitutes the sound pressure spectrum and is caused by vibrations of each of the target parts, based on the sound pressure spectrum obtained for the sound pressure at the response point and the first target-part-induced sound pressure spectrum in the operating state derived by the interpolation / extrapolation value calculation unit. A conversion unit that converts the second target area-induced sound pressure spectrum calculated by the target area-induced sound pressure calculation unit into a vibration spectrum and derives a target area vibration spectrum, A vibration estimation device utilizing sound pressure, characterized by having the following features.

2. The sound pressure-based vibration estimation device according to claim 1, further comprising an abnormality evaluation determination unit that compares the vibration spectrum of the target part with data under normal conditions and determines whether or not there is an abnormality for each of the target parts.

3. The sound pressure-based vibration estimation device according to claim 2, characterized in that the data under normal conditions is received from an external source by the input unit and stored in the storage unit.

4. A sound pressure measuring device provided at the response point, A sound pressure-based vibration estimation device according to any one of claims 1 to 3, It is equipped with, The calculation unit calculates the vibration spectrum based on the signal from the sound pressure measuring instrument. A vibration measurement system utilizing sound pressure, characterized by the following features.

5. The operating condition-dependent characteristic derivation unit pre-derives the dependency characteristics of a first target part-induced sound pressure spectrum, which is caused by vibration of the target part under multiple operating conditions, on the multiple operating conditions, The operating condition-dependent characteristic storage unit pre-stores the first target site-induced sound pressure spectrum and the dependent characteristics corresponding to the plurality of operating conditions in a database. The interpolation and extrapolation value calculation unit derives the first target site-induced sound pressure spectrum in the operating state based on the dependency characteristics stored in the database, The steps include: a target-part-induced sound pressure calculation unit calculates a second target-part-induced sound pressure spectrum that is caused by vibrations of each of the target parts and constitutes the sound pressure spectrum, based on the sound pressure spectrum obtained for the sound pressure at the response point and the first target-part-induced sound pressure spectrum in the operating state derived by the interpolation / extrapolation value calculation unit; The conversion unit performs the steps of converting the second sound pressure spectrum originating from the target area, calculated by the sound pressure calculation unit for the target area, into a vibration spectrum and deriving the vibration spectrum for the target area, A vibration measurement method utilizing sound pressure, characterized by having the following features.

6. The sound pressure-based vibration measurement method according to claim 5, further comprising the step of an abnormality evaluation determination unit comparing the vibration spectrum of the target part with data from a normal state and determining whether or not there is an abnormality for each of the target parts.

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