Sound source estimation system and sound source estimation method

Abstract

To specify a sound source of abnormal noise generated from an object.SOLUTION: A sound source estimation system includes: a microphone 10 for detecting sound generated from an object having a rotation device; a rotation speed acquisition unit 30 for acquiring rotation speed of the rotation device; a frequency analysis unit 91 for generating frequency sound data representing a change of a frequency spectrum of sound detected by the microphone 10; an order calculation unit 81 for calculating an order on the basis of the rotation speed and the maximum frequency with the loudest sound in the frequencies of the sound; and an order collation unit 83 for setting components having orders closest to the order as sound source candidates of abnormal noise.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a technique for estimating a sound source that generates sound or vibration in association with the rotation of a rotating device mounted on a vehicle. [Background technology]

[0002] A vehicle is equipped with a rotating device that generates rotational motion. In addition, a plurality of parts that move in association with the rotational motion, such as gears that transmit the rotational motion, are also equipped with the vehicle. When an abnormality such as cracking or deformation occurs in these parts, abnormal noises that did not occur before the abnormality occurred may occur in association with the rotational motion. These abnormal noises may cause discomfort to vehicle users. Therefore, it is necessary to identify the part that is the source of the abnormal noise in order to replace or repair the part that is the source of the abnormal noise.

[0003] The order of abnormal noises generated by these rotational movements may be an order specific to each part (hereinafter referred to as the part order) determined by the specifications of each part (for example, the number of gear teeth if the part is a gear). The sound and vibration analysis device disclosed in Patent Document 1 calculates the order from frequency data and rotation speed data of sounds recorded while the vehicle is running. Since the order calculated in this way corresponds to the part order of each gear of the transmission, it is disclosed that the gear causing the abnormal noise can be identified by calculating the order of sounds with a predetermined sound pressure or higher among sounds recorded while the vehicle is running. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2005-98984 A Summary of the Invention [Problem to be solved by the invention]

[0005] However, the multiple parts mounted on a vehicle vary from one to another due to manufacturing errors and the like. Therefore, there may be a difference between the part order determined by the specifications of each part and the order of the sound actually generated from each part. Patent Document 1 identifies the part causing the abnormal sound by stating that the order of a sound with a predetermined sound pressure or higher among the recorded sounds matches the part order of the sound source of the abnormal sound, and does not take into account the variation of each part. Therefore, there is a risk that the cause of the abnormal sound cannot be accurately identified. [Means for solving the problem]

[0006] The sound source estimation system of the present invention includes a sound vibration acquisition unit that acquires sound generated from an object, a rotation speed acquisition unit that acquires the rotation speed of a rotating device mounted on the object to generate rotational motion, a frequency analysis unit that generates frequency sound data representing a change in the frequency spectrum of the sound detected by the sound vibration acquisition unit, a maximum sound frequency that is a frequency indicating the loudest sound in the frequency sound data and an order calculation unit that calculates the order of the maximum sound frequency based on the rotation speed acquired by the rotation speed acquisition unit, a part order information acquisition unit that acquires order information of each part related to the sound generated by a plurality of parts mounted on the object in association with the rotational motion, an order comparison unit that sets a part having an order closest to the order calculated by the order calculation unit based on the order information acquired by the part order information acquisition unit as a sound source candidate of an abnormal sound, and an output unit that outputs information regarding the sound source candidate of the abnormal sound.

[0007] The sound source estimation method of the present invention includes a sound vibration acquisition step of acquiring a sound generated from an object, a rotation speed acquisition step of acquiring a rotation speed of a rotation device mounted on the object and generating a rotational motion, and process a frequency analysis step of generating frequency sound data representing a change in the frequency spectrum of the sound detected in the frequency analysis step; process The maximum sound frequency, which is the frequency that indicates the loudest sound among the frequency sound data generated by the above, and the rotation speed acquisition In the processa part order information acquisition step of acquiring part order information related to sounds emitted by a plurality of parts mounted on the object in association with the rotational motion; process The degree calculation is performed based on the degree information obtained by process and an output step of outputting information relating to the candidate sound source of the abnormal sound. Effect of the Invention

[0008] According to the present invention ,sound The order is calculated from the maximum sound pressure frequency among the frequencies and the rotation speed of the rotating device, and the part having the order closest to the calculated order is set as the sound source candidate. This makes it possible to estimate the part that is the sound source even if there is a difference between the order that shows a sound pressure of a certain level or more in the recorded sound and the part order determined by the specifications of the part that is the source of the abnormal sound. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram illustrating a sound source estimation device including a sound source estimation system and a vehicle. [Diagram 2] FIG. 1 is a diagram showing a configuration of a sound source estimation device including a sound source estimation system. [Diagram 3] FIG. 1 is a diagram showing an overview of a sound source estimation process. [Figure 4] FIG. 2 is a diagram showing details of a process for acquiring sound data. [Diagram 5] FIG. 13 is a diagram showing details of a process for determining whether extraction processing is necessary. [Figure 6] FIG. 2 is a diagram showing details of the analysis process. [Figure 7] FIG. 4 is a diagram showing an example of analysis sound data. [Figure 8] FIG. 11 is a diagram showing an example of analytical rotation speed data. [Figure 9] FIG. 11 is a diagram showing an example of maximum sound frequency data. [Figure 10]11A and 11B are diagrams illustrating examples of pairs of maximum sound frequencies and rotation speeds and their approximation straight lines. [Figure 11] FIG. 2 is a diagram showing details of the extraction process. [Figure 12] FIG. 11 is a diagram showing an example of frequency sound data including sounds other than abnormal sounds; [Figure 13] FIG. 11 is a diagram showing an example of extracted sound data in which an extraction range has been selected. [Figure 14] FIG. 1 is a diagram illustrating a configuration of a sound source estimation device and a sound source estimation server. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. In the drawings, the same or corresponding parts are designated by the same reference characters and their description will not be repeated.

[0011] 1 is a diagram showing a sound source estimation device 100 including a sound source estimation system according to an embodiment of the present invention, and a vehicle 200 which is an object for which the sound source estimation device 100 performs estimation. The vehicle 200 is equipped with an engine 210 and a plurality of components. The engine 210 generates a rotational motion, and the plurality of components generate sound and vibration in association with the rotational motion of the engine 210. The order of the sound generated by each component in association with the rotational motion of the engine 210 is determined by the specifications of each component, and is an order specific to each component (hereinafter referred to as a component order).

[0012] The sound source estimation device 100 includes a microphone 10, which will be described later, and is capable of detecting sounds around the sound source estimation device 100. The vehicle 200 is equipped with an engine 210 in a front compartment. When a user of the vehicle 200 feels that an abnormal sound is coming from the vehicle 200, the user of the sound source estimation device 100 uses the sound source estimation device 100 to estimate the sound source of the abnormal sound.

[0013] When estimating the source of an abnormal sound, a user of the sound source estimation device 100 opens the hood of the vehicle 200 as shown in Fig. 1 to expose the front compartment to the outside. By bringing the sound source estimation device 100 close to the front compartment, the user can detect sounds around the engine 210 with the microphone 10, and the sound source estimation device 100 can estimate the source of the abnormal sound.

[0014] 2 is a diagram showing a configuration of a sound source estimation device 100 including a sound source estimation system according to an embodiment of the present invention. The sound source estimation device 100 includes a microphone 10, a timer 20, a rotation speed acquisition unit 30, a data recording unit 40, a playback unit 50, an input unit 60, a display unit 70, a part estimation unit 80, and a data editing unit 90.

[0015] The microphone 10 detects surrounding sounds and generates sound data. The timer 20 measures a detection time, which is the time during which the sound is detected by the microphone 10. The rotation speed acquisition unit 30 acquires the rotation speed of the engine 210 and generates rotation speed data.

[0016] The data recording unit 40 is a recording medium such as a flash memory that records the above-mentioned sound data, detection time, rotation speed data, etc. The playback unit 50 is a device such as a speaker that plays back the sound data and extracted sound data (described later) as sound.

[0017] The input unit 60 is a device such as a switch, a touch panel, a keyboard, a mouse, or a voice input device that receives a user's operation related to the control of the sound source estimation device 100. When an input operation is performed on the input unit 60, the sound source estimation device 100 executes control according to the input operation. The display unit 70 is a device such as a liquid crystal screen that displays information related to the control of the sound source estimation device 100 and options for control to the user.

[0018] The part estimation unit 80 estimates sound source candidates of abnormal noise based on orders calculated from analysis sound data and analysis rotation speed data, which will be described later. The part estimation unit 80 includes an order calculation unit 81, a part order information acquisition unit 82, and an order comparison unit 83.

[0019] The order calculation unit 81 calculates the order of a sound estimated to be an abnormal sound by executing a flow described later on the analysis sound data and the analysis rotation speed data.

[0020] The part order information acquiring unit 82 acquires part order information of each part related to a plurality of parts that emit sound with the rotation of the engine 210. For example, if the part is a gear, the part order of each part is determined by the number of teeth. The part order information of each part is stored in advance in the data recording unit 40, and the part order information acquiring unit 82 acquires the part order information of each part from the data recording unit 40. In addition, the user of the vehicle 200 may register the model of the vehicle 200 and the model of the engine 210 in the sound source estimation device 100 in advance, and the part order information acquiring unit 82 may acquire the part order information by communicating with an external server.

[0021] The order matching unit 83 matches the part order information of each part acquired by the part order information acquisition unit 82 with the orders of the abnormal sounds calculated by the order calculation unit 81, thereby inferring candidates for parts that are the source of the abnormal sounds.

[0022] The data editing unit 90 edits the sound data and the rotation speed data recorded in the data recording unit 40 to generate analysis sound data and analysis rotation speed data. The data editing unit 90 includes a frequency analysis unit 91 and an extraction processing unit 92.

[0023] The frequency analysis unit 91 performs frequency analysis on the sound data. The sound data detected by the microphone 10 represents a change in sound pressure over time. The frequency analysis unit 91 performs a fast Fourier transform (FFT) on this sound data to generate frequency sound data representing a change in the frequency spectrum over time.

[0024] The extraction processing unit 92 performs extraction processing to extract any frequency sound data, such as frequency sound data in a specific time range or frequency sound data in a specific frequency band, from the frequency sound data generated by the frequency analysis unit 91, and generates extracted sound data.

[0025] An overview of the sound source estimation flow in this embodiment is shown in Figure 3. S1 is a process of detecting an abnormal sound and acquiring sound data. S2 is a process of acquiring rotation speed data corresponding to the acquired sound data. S3 is a process of performing frequency analysis on the sound data to generate frequency sound data. S4 is a process of determining whether or not the frequency sound data requires extraction processing, which will be described later. S5 is a process of performing extraction processing on the frequency sound data and the rotation speed data. S6 is a process of estimating parts that are candidate sources of the abnormal sound by performing analysis based on the frequency sound data and the rotation speed data. S7 is a process of outputting information related to parts that are candidate sources of the sound.

[0026] First, details of the step (S1) of acquiring sound data will be described with reference to Fig. 4. First, the sound source estimation device 100 enters a standby state for a user to input an operation related to sound detection to the input unit 60 (S11).

[0027] The user brings the microphone 10 of the sound source estimation device 100 close to the running engine 210, and in this state performs an operation on the input unit 60 to start sound detection (S12).

[0028] As a result, the sound source estimation device 100 starts detecting sound by the microphone 10, and detects sounds around the running engine 210 (S13). The detection of sound by the microphone 10 may be performed for a preset time, or may be performed only while the user continues to perform an operation such as a long press on the input unit 60. At this time, the timer 20 measures the detection time, which is the time during which the sound is detected by the microphone 10.

[0029] Next, the sound source estimation device 100 reproduces the detected sound by the reproduction unit 50 (S14). In this way, the sound source estimation device 100 can allow the user to confirm the detected sound.

[0030] Next, the sound source estimation device 100 displays options such as "abnormal sound is included" and "abnormal sound is not included" on the display unit 70 (S15).

[0031] The user determines whether or not the sound confirmed in S14 includes an abnormal sound (S16), and selects one of the options using the input unit 60. If "abnormal sound is included" is selected (S17), the sound source estimation device 100 records the detected sound as sound data in the data recording unit 40. Furthermore, the detection time measured by the timer 20 is linked to the sound data and recorded in the data recording unit 40 (S19).

[0032] If "abnormal sound is not included" is selected (S18), the sound source estimation device 100 returns to the state of waiting for the user to input an operation related to sound detection again (S11).

[0033] In addition to the above two options, an option "play sound" may be displayed on the display unit 70 in S15. If the user selects "play sound" through the input unit 60, the detected sound is played back by the playback unit 50. This allows the user to check the detected sound again.

[0034] Through these steps, the sound source estimation device 100 can generate sound data including the abnormal sound generated from the vehicle 200.

[0035] After recording the sound data, the sound source estimation proceeds to step S2 in FIG. 3, and the sound source estimation device 100 acquires rotation speed data corresponding to the sound data.

[0036] In S2, the rotation speed acquisition unit 30 acquires the rotation speed of the engine 210. A possible method for acquiring the rotation speed is to acquire control information from an ECU that controls the engine 210. The sound source estimation device 100 acquires the control information of the ECU of the vehicle 200 by communicating with the vehicle 200. The rotation speed acquisition unit 30 acquires the rotation speed of the engine 210 at a time corresponding to the detection time recorded in the data recording unit 40, and generates rotation speed data. The generated rotation speed data is linked to the sound data and recorded in the data recording unit 40.

[0037] 3, the sound source estimation device 100 generates frequency sound data. In S3, the sound data is input to a data editing unit 90. The frequency analysis unit 91 performs FFT on the sound data input to the data editing unit 90, and frequency sound data is generated.

[0038] Next, the process proceeds to S4 in Fig. 3, and it is determined whether extraction processing is required for the frequency sound data. Details of the step S4 will be described with reference to Fig. 5.

[0039] The sound source estimation device 100 displays options such as "Sounds other than abnormal noises are included" and "Sounds other than abnormal noises are not included" on the display unit 70 (S41).

[0040] The user judges whether the sound confirmed in S14 includes noise other than abnormal sounds (S42), and selects one of the options using the input unit 60. If "includes noise other than abnormal sounds" is selected (S43), it is determined that processing is required to extract frequency sound data in a specific frequency band or a specific time range, and the process proceeds to S5, where the extraction processing unit 92 performs processing to extract frequency sound data and rotation speed data. As a result, analysis sound data and analysis rotation speed data that have been subjected to extraction processing so as to exclude noise other than abnormal sounds are generated. Details of the extraction processing performed in S5 will be described later.

[0041] If "No sounds other than abnormal sounds are included" is selected (S44), it is determined that extraction processing is unnecessary, and the frequency sound data and the rotation speed data are treated as analysis sound data and analysis rotation speed data, respectively, and the process proceeds to S6.

[0042] In addition to the above two options, an option "play sound" may be displayed on the display unit 70 in S41. When the user selects "play sound" through the input unit 60, the detected sound is played back by the playback unit 50. This allows the user to check the detected sound again.

[0043] Next, the analysis process performed in S6 will be described with reference to Fig. 6. First, the analysis sound data and analysis rotation speed data are input to the part estimation unit 80 (S61).

[0044] An example of analysis sound data input to the part estimation unit 80 is shown in Fig. 7. In Fig. 7, the horizontal axis indicates time, the vertical axis indicates frequency, and the shade of color indicates the magnitude of sound pressure. Note that darker colors indicate higher sound pressure. Area A, which includes data with relatively high sound pressure, is shown surrounded by a dotted line.

[0045] An example of the analysis rotation speed data input to the part estimation unit 80 is shown in Fig. 8. In Fig. 8, the rotation speed is indicated by a solid line 800.

[0046] Based on the analytical sound data and analytical rotation speed data input to the part estimation unit 80, the order calculation unit 81 calculates the order of the sound estimated to be an abnormal sound. The order calculation unit 81 first extracts the maximum sound frequency, which is the frequency showing the greatest sound pressure, for each predetermined time period, and generates maximum sound frequency data (S62). Here, it is considered that the frequency within area A is extracted.

[0047] For the analysis sound data, "does not include sounds other than abnormal sounds" is selected in S43 of Fig. 5, or extraction processing is performed in S5 of Fig. 3 so that noises other than abnormal sounds are excluded. Therefore, the maximum sound frequency is highly likely to be the frequency of an abnormal sound sensed by the user. An example of extracted maximum sound frequency data is shown in Fig. 9. In Fig. 9, the extracted maximum sound frequency is indicated by a solid line 900.

[0048] The order calculation unit 81 calculates the order of the maximum sound frequency data extracted in S62, using the maximum sound frequency data and the analysis rotation speed (S63).

[0049] In S63, a linear approximation is performed using the least squares method or the like for a plurality of pairs of values ​​of maximum sound frequency data and analysis rotation speed data for each predetermined time. Here, the linear approximation is performed so that the intercept is 0. In Fig. 10, the horizontal axis is frequency and the vertical axis is rotation speed, and an example is shown of points 1010 representing each pair of values ​​of maximum sound frequency data and analysis rotation speed data, and a straight line 1020 obtained by linear approximation of these values. Note that only one number is assigned to each pair of values, and the rest are omitted. The order calculation unit 81 calculates the slope of this straight line as the order.

[0050] When the order calculation unit 81 calculates the order, the order collation unit 83 estimates the component that is a candidate for the sound source of the abnormal sound based on the calculated order (S64). In general, the order can be calculated as a value obtained by dividing the frequency at a certain time by the number of rotations at that time, but the order calculated in this way may not match the component order of the sound source component of the abnormal sound. This is because a slight difference occurs between the component order determined by the specifications of each component and the order of the sound actually generated by the component due to manufacturing errors, etc.

[0051] Therefore, the order comparison unit 83 compares the part orders of the multiple parts mounted on the vehicle 200 acquired by the part order information acquisition unit 82 with the orders calculated by the order calculation unit 81, and estimates the part having the part order closest to the calculated order as a candidate for the source of the abnormal sound. This makes it possible to estimate candidates for the source of the abnormal sound even if there is a difference between the calculated order and the part order of the part that is the source of the abnormal sound.

[0052] In addition, even if the sound source is the same part, the order calculated from the maximum sound frequency and rotation speed at a certain time will differ from the part order of the sound source due to the environment in which the sound is detected and the influence of sounds other than abnormal sounds. In this embodiment, the order is calculated based on a set of multiple values ​​of the maximum sound frequency data and the analysis rotation speed data for each predetermined time. This makes it possible to reduce the influence of the above-mentioned environment and sounds other than abnormal sounds.

[0053] Furthermore, the order matching unit 83 may be configured to estimate, from among the multiple parts mounted on the vehicle 200, in addition to the part having the part order closest to the calculated order, multiple parts having part orders within a predetermined range from the calculated order, as candidates for the source of the abnormal sound.

[0054] 3, the sound source estimation device 100 displays information about the part estimated to be a candidate for the sound source of the abnormal sound on the display unit 70. Information to be displayed on the display unit 70 includes the name, shape, mounting position, inspection method, repair method, replacement method, etc. of the part.

[0055] The user can inspect, repair, or replace parts that are suspected to be the source of the abnormal noise as necessary.

[0056] Next, a description will be given of the extraction process performed in S5 of Fig. 3. A flow of the data extraction process is shown in Fig. 11. The extraction processing unit 92 displays frequency sound data on the display unit 70 (S51), and waits for an operation to be input by the user.

[0057] An example of the displayed frequency sound data is shown in Fig. 12. In Fig. 12, it is assumed that area A surrounded by a dotted line contains data on the abnormal sound felt by the user of the vehicle 200. Here, area B surrounded by a dashed line contains a sound pressure that is greater than the sound pressure in area A. Therefore, if processing is performed by the order calculation unit 81 as is, there is a possibility that the frequency of the abnormal sound will not be extracted as the maximum sound frequency in S62 in Fig. 6.

[0058] The user selects a desired frequency band or a desired time range from the frequency sound data (S52). Specifically, the user selects a frequency band or a time range, or both, that he / she wishes to extract from an image such as that shown in FIG. 12 displayed on the display unit 70 using the input unit 60.

[0059] Fig. 13 shows frequency sound data in which the user has selected both an arbitrary frequency band and a time range. The shaded area in Fig. 13 is an area not selected by the user. The extraction processing unit 92 extracts the arbitrary frequency sound data selected by the user from the sound data to generate extracted sound data. Also, extracted rotation speed data is generated by extracting the time range selected by the user from the rotation speed data (S53). This makes it possible to exclude areas containing relatively large sound pressures other than area A containing the abnormal sound sensed by the user.

[0060] Next, the sound source estimation device 100 reproduces the extracted sound data in the reproduction unit 50 (S54). This allows the user to confirm the extracted sound.

[0061] Next, the sound source estimation device 100 displays options such as "Sounds other than abnormal sounds are included" and "Sounds other than abnormal sounds are not included" on the display unit 70 (S55).

[0062] The user determines whether or not the sound confirmed in S54 includes noise other than abnormal sounds (S56), and selects one of the options using the input unit 60. If "no sounds other than abnormal sounds are included" is selected (S57), the sound source estimation device 100 sets the extracted sound data and the extracted rotation speed data as sound data for analysis and rotation speed data for analysis, respectively (S59), and proceeds to S6.

[0063] When "Sounds other than abnormal sounds are not included" is selected (S58), the sound source estimation device 100 displays the frequency sound data again (S51) and returns to a standby state for waiting for an operation to be input by the user.

[0064] In addition to the above two options, an option "play sound" may be displayed on the display unit 70 in S55. If the user selects "play sound" through the input unit 60, the detected sound is played back by the playback unit 50. This allows the user to check the detected sound again.

[0065] This extraction process makes it possible to exclude sounds outside the range selected by the user, and increases the possibility that the frequency of an abnormal sound will be extracted as the maximum sound frequency in S62 of FIG.

[0066] The sound source estimation system included in the sound source estimation device 100 described above can estimate sound source candidates even when there is a difference between the order of a component with high sound pressure and the order of a component that is the sound source of an abnormal sound.

[0067] The sound source estimation system of the present invention can be a system provided in a smartphone. In this case, a microphone for calling is used as the microphone 10, and a speaker for notifying an incoming call or the like is used as the playback unit 50. A touch panel is used as the input unit 60 and the display unit 70. Furthermore, a communication device for communicating with the outside can be used as the rotation speed acquisition unit 30, and the rotation speed can be acquired by communicating with the vehicle 200. Furthermore, a smartphone is generally provided with a recording medium such as a flash memory for recording data, and this recording medium can be used as the data recording unit 40. Furthermore, a program for executing the processes of the timer 20, the part estimation unit 80, and the data editing unit 90 is written in the recording medium, and the sound source can be estimated by executing this program by the central processing unit.

[0068] Furthermore, the sound source estimation device 100 may be a device mounted on the vehicle 200, rather than a portable terminal independent of the vehicle 200.

[0069] The user of the sound source estimation system in the present invention may be a user of the vehicle 200, or may be a staff member of a maintenance shop where the vehicle 200 is stored. When a staff member uses the sound source estimation device 100, the staff member may perform the operation related to sound detection in S12 and the operation related to sound extraction in S52, and the user of the vehicle 200 may perform the confirmation of abnormal sounds in S16, S42, and S56. Moreover, each operation may be performed jointly by the staff member and the user of the vehicle 200.

[0070] In the above embodiment, the sound source estimation device 100 is assumed to have all the components of the sound source estimation system of the present invention. However, each component may be shared among a plurality of devices. For example, as shown in FIG. 14, the sound source estimation device 100 may have the microphone 10, the rotation speed acquisition unit 30, the timer 20, the display unit 70, the input unit 60, and the playback unit 50, and the external sound source estimation server 300 may have the data recording unit 40, the part estimation unit 80, and the data editing unit 90. In this case, analysis sound data and analysis rotation speed data are generated by performing S1 to S5 in FIG. 3 within the sound source estimation device 100. Thereafter, the analysis sound data and analysis rotation speed data are transmitted to the sound source estimation server 300 by means of communication or the like, and the analysis of S6 is performed by the sound source estimation server 300. Information on the parts estimated to be sound source candidates of abnormal sounds is transmitted from the sound source estimation server 300 to the sound source estimation device 100, and output by the sound source estimation device 100.

[0071] In the above embodiment, the sound vibration acquisition unit is the microphone 10. However, the sound vibration acquisition unit may be a vibration pickup that detects vibration. In this case, the abnormal sound is an abnormal vibration occurring in the vehicle 200, and the sound source estimation system estimates candidates for the vibration source of the abnormal vibration.

[0072] In the above embodiment, the rotating device is the engine 210. However, the rotating device may be any device that generates rotational motion and causes a plurality of parts to move, such as a motor.

[0073] In the above embodiment, the object of sound source estimation is the vehicle 200. However, the object is not limited to a vehicle, and may be anything that includes a rotating device such as an engine or a motor, and a plurality of parts that move in association with the rotational motion generated by the rotating device. For example, an aircraft that rotates a propeller with a rotating device, a ship that rotates a screw, etc. are possible.

[0074] In the above embodiment, the output unit is the display unit 70. However, the output unit is not limited to a configuration that displays information. For example, the output unit may output information on a printed matter, or may output information by voice.

[0075] Furthermore, the information on the sound source candidates may be output to another device instead of being output to the user. In this case, the output unit may be a communication unit that outputs a signal from the sound source estimation device 100 to the other device. The other device that acquires the information on the sound source candidates from the sound source estimation device 100 can estimate the parts of the sound source candidates with higher accuracy by performing further analysis based on the information acquired from the sound source estimation device 100 and other information.

[0076] In the above embodiment, the loudness of a sound is described as the sound pressure. However, the index of loudness of a sound is not limited to the sound pressure, and may be, for example, the sound pressure level or the sensation expressed in units of phons or sones.

[0077] The embodiments disclosed herein are also intended to be implemented in appropriate combination. The embodiments disclosed herein should be considered to be illustrative and not restrictive in all respects. The scope of the present disclosure is indicated by the claims, not the description of the above embodiments, and is intended to include all modifications within the meaning and scope of the claims. [Explanation of symbols]

[0078] 10. Mike 20. Timer 30 Rotation speed acquisition unit 40 Data Recording Unit 50 Playback Department 60 Input section 70 Display section 80 Parts Estimation Department 90 Data Editorial Department

Claims

1. A sound vibration acquisition unit that acquires a sound generated from a target object; a rotation speed acquisition unit that acquires a rotation speed of a rotation device that is mounted on the object and generates a rotational motion; a frequency analysis unit that generates frequency sound data representing a change in the frequency spectrum of the sound detected by the sound vibration acquisition unit; an input unit that accepts user operations; A display unit that displays an option as to whether or not the sound acquired by the sound vibration acquisition unit includes noise other than an abnormal sound; an extraction unit that extracts a specific frequency band selected by the user from the frequency sound data or a specific time range selected by the user from the frequency sound data based on the user's operation on the input unit when an option indicating that noise other than abnormal sounds is included is selected via the input unit; an order calculation unit that calculates the order of the maximum sound frequency based on a maximum sound frequency that is a frequency indicating the loudest sound in the frequency sound data extracted by the extraction unit and the rotation speed acquired by the rotation speed acquisition unit; a part order information acquisition unit that acquires order information of each of a plurality of parts mounted on the object regarding sounds generated by the parts in association with the rotational motion; an order comparison unit that determines a part having an order closest to the order calculated by the order calculation unit based on the order information acquired by the part order information acquisition unit as a sound source candidate of the abnormal sound; an output unit that outputs information about the candidate sound sources of the abnormal sound; A sound source estimation system comprising:

2. The sound source estimation system according to claim 1 , wherein the order calculation unit calculates the order based on a maximum sound frequency for each predetermined time period and a rotation number for each predetermined time period.

3. 3. The sound source estimation system according to claim 2, wherein the order calculation unit obtains an approximation line having an intercept of 0 for a plurality of pairs of a maximum sound frequency for each predetermined time period and a rotation number for each predetermined time period, and calculates a slope of the approximation line as the order.

4. a data extraction processing unit that extracts arbitrary frequency sound data from the frequency sound data generated by the frequency analysis unit, The sound source estimation system according to claim 1 , wherein the order calculation unit extracts the maximum sound frequency from the arbitrary frequency sound data subjected to the extraction process, and calculates an order based on the maximum sound frequency and the rotation speed.

5. A sound vibration acquisition process for acquiring a sound generated from an object; a rotation speed acquisition step of acquiring a rotation speed of a rotation device that is mounted on the object and generates a rotational motion; a frequency analysis step of generating frequency sound data representing a change in the frequency spectrum of the sound detected in the sound vibration acquisition step; a display step of displaying an option as to whether or not the sound acquired in the sound vibration acquisition step includes noise other than the abnormal sound; an extraction step of extracting a specific frequency band selected by the user from the frequency sound data or a specific time range selected by the user from the frequency sound data when an option indicating that noise other than abnormal sounds is included is selected by the user; an order calculation step of calculating an order of the maximum sound frequency based on a maximum sound frequency, which is a frequency indicating the loudest sound among the frequency sound data extracted in the extraction step, and the rotation speed of the rotating device acquired in the rotation speed acquisition step; a part order information acquisition step of acquiring part order information relating to sounds generated by a plurality of parts mounted on the object in association with the rotational motion; an order collating step for determining a part having an order closest to the order calculated in the order calculating step based on the order information acquired in the part order information acquiring step as a candidate for a sound source of abnormal noise; an output step of outputting information about the candidate sound sources of the abnormal sound; A sound source estimation method comprising:

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