Notification apparatus and notification method

The notification device uses sensors and AI to analyze power unit vibrations, addressing the lack of effective warning systems for potential failures, enhancing durability and safety by providing timely notifications.

JP2025179954APending Publication Date: 2025-12-11SEIKO EPSON CORP
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Patent Information

Application Number
JP2024086933
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-05-29
Publication Date
2025-12-11

AI Technical Summary

Technical Problem

Existing vibration analysis technologies fail to detect vibrations in power units that can lead to deterioration or failure due to misalignment or twisting of shaft centers, lacking effective warning systems.

Method used

A notification device and method that includes sensors to measure physical quantities caused by vibrations, extracting features from the data to generate notification information about the state of the power unit, using AI models for prediction and classification of normal or abnormal states, and outputting warnings through display, sound, or vibration.

Benefits of technology

Effectively detects and warns about potential power unit failures, improving durability and safety by providing timely notifications of abnormal vibrations.

✦ Generated by Eureka AI based on patent content.

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Abstract

To provide a notification apparatus that outputs notification information enabling a user to objectively recognize a state of a predetermined unit.SOLUTION: A notification apparatus outputs notification information including information relating to a state of a first unit generated based on a first feature quantity extracted from first measurement data obtained by measuring a physical quantity generated by vibration of the first unit. The first unit includes a transmission, and a first motor including a first motor shaft, a first rotor and a first stator.SELECTED DRAWING: Figure 9
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Description

[Technical Field]

[0001] The present invention relates to a notification device and a notification method. [Background technology]

[0002] In recent years, in addition to automobiles equipped with power units that use internal combustion engines (engines) as their driving source, hybrid automobiles equipped with power units that have two types of driving sources, an internal combustion engine (engine) and a generator-motor (motor), and electric automobiles equipped with power units that have one type of generator-motor (motor) as their driving source have been put into practical use. Patent Document 1 describes a control method for a vehicle equipped with a frictional engagement element and a belt-type continuously variable transmission in the drive system from the drive source to the drive wheels of an electric vehicle. Fixing the belt-type continuously variable transmission to the lowest speed ratio causes the pulley belt to remain wound around the primary pulley with the smallest contact radius, making the belt prone to slippage and accelerating pulley belt deterioration. This control method addresses this problem by ensuring driving performance in a range where the required driving force is low when starting, while improving the durability of the belt-type continuously variable transmission belt.

[0003] Patent Document 2 also describes a control method for reducing abnormal noise generated between a first spline and a second spline in a hybrid vehicle, in which, when the engine is stopped, the first motor is controlled so that a first torque in a direction that reduces the engine speed is output from the first motor until the engine speed reaches a predetermined speed or less, and after the engine speed reaches the predetermined speed or less, the first motor is controlled so that a second torque in the opposite direction to the first torque and having an absolute value smaller than that of the first torque is output from the first motor. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] International Publication No. 2018 / 078789 [Patent Document 2] Japanese Patent Application Publication No. 2017-124792 Summary of the Invention [Problem to be solved by the invention]

[0005] Abnormal noises from power units are not limited to those caused by vibrations that do not affect the running state, but can also be caused by vibrations that can lead to deterioration or failure of the power unit, such as those caused by misalignment or twisting of the shaft center due to disturbances or loads that the vehicle's wheels receive. However, vibration analysis technology that can detect such vibrations and issue warnings, etc. has not been fully established. [Means for solving the problem]

[0006] One aspect of the notification device according to the present invention is a first motor including a first motor shaft, a first rotor, and a first stator; The gearbox and and outputs notification information including information related to the state of the first unit, which is generated based on a first feature extracted from first measurement data in which a physical quantity caused by vibration of the first unit, including the first feature extracted from the first measurement data, is measured.

[0007] One aspect of the notification method according to the present invention is to a first motor including a first motor shaft, a first rotor, and a first stator; The gearbox and The method includes a step of outputting notification information including information related to the state of the first unit, which is generated based on a first feature extracted from first measurement data in which a physical quantity caused by vibration of the first unit is measured. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is an explanatory diagram illustrating an overview of a notification device. [Figure 2] 1 is a diagram showing an example of the configuration of a drive system including a power unit of an automobile. [Figure 3]1 is a diagram showing an example of the configuration of a drive system including a power unit of an automobile. [Figure 4] 1 is a diagram showing an example of the configuration of a drive system including a power unit of an automobile. [Figure 5] 1 is a diagram showing an example of the configuration of a drive system including a power unit of an automobile. [Figure 6] 1 is a diagram showing an example of the configuration of a drive system including a power unit of an automobile. [Figure 7] 1 is a diagram showing an example of the configuration of a drive system including a power unit of an automobile. [Figure 8] 1 is a diagram showing an example of the configuration of a drive system including a power unit of an automobile. [Figure 9] FIG. 1 is a diagram showing an example of the configuration of a notification device. [Figure 10] FIG. 2 is a diagram showing an example of the configuration of a feature extraction circuit. [Figure 11] FIG. 10 is a diagram showing measurement data obtained by rotating a deteriorated planetary gear at a low speed. [Figure 12] FIG. 12 shows the amplitude spectral density calculated for the data of FIG. 11 . [Figure 13] FIG. 12 shows the RMS, P2P and crest factor calculated for the data in FIG. 11 . [Figure 14] FIG. 10 is a diagram showing measurement data obtained by rotating a deteriorated planetary gear at high speed. [Figure 15] FIG. 15 shows the amplitude spectral density calculated for the data of FIG. 14. [Figure 16] FIG. 15 shows the RMS, P2P and crest factor calculated for the data of FIG. 14. [Figure 17] FIG. 10 is a diagram showing measurement data obtained by rotating a new planetary gear at a low speed. [Figure 18] FIG. 18 shows the amplitude spectral density calculated for the data of FIG. 17. [Figure 19] FIG. 18 shows the RMS, P2P and crest factor calculated for the data in FIG. 17. [Figure 20] FIG. 10 is a diagram showing measurement data obtained by rotating a new planetary gear at high speed. [Figure 21]FIG. 21 shows the amplitude spectral density calculated for the data of FIG. 20. [Figure 22] FIG. 21 shows the RMS, P2P and crest factor calculated for the data in FIG. 20. [Figure 23] A plot of the first feature value after principal component analysis. [Figure 24] A plot of health indicators. [Figure 25] 10A and 10B are diagrams showing examples of image information displayed on a display unit as notification information. [Figure 26] 10A and 10B are diagrams showing examples of image information displayed on a display unit as notification information. [Figure 27] 10A and 10B are diagrams showing examples of image information displayed on a display unit as notification information. [Figure 28] 10A and 10B are diagrams showing examples of image information displayed on a display unit as notification information. [Figure 29] 10A and 10B are diagrams showing examples of image information displayed on a display unit as notification information. [Figure 30] 10A and 10B are diagrams showing examples of image information displayed on a display unit as notification information. [Figure 31] 10A and 10B are diagrams showing examples of image information displayed on a display unit as notification information. [Figure 32] FIG. 4 is a flowchart showing the procedure of a notification method according to the present embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Note that the embodiments described below do not unduly limit the content of the present invention as defined in the claims. Furthermore, not all of the configurations described below are necessarily essential components of the present invention.

[0010] 1. Notification Device Overview FIG. 1 is a diagram for explaining an overview of a notification device according to this embodiment. As shown in FIG. 1, the notification device 1 according to this embodiment acquires first measurement data measured by a first sensor 3 attached to a first unit 2. The first sensor 3 measures a physical quantity caused by vibration of the first unit 2 and outputs first measurement data corresponding to the measured physical quantity. The physical quantity measured by the first sensor 3 may be, for example, acceleration, angular velocity, velocity, displacement, pressure, current, voltage, etc. The first measurement data may be an analog signal or a digital signal. The notification device 1 then extracts a first feature value from the first measurement data measured by the first sensor 3 for the first unit 2, generates information related to the state of the first unit 2 based on the extracted first feature value, and outputs notification information including the information related to the state of the first unit 2.

[0011] The notification device 1 may further acquire second measurement data measured by a second sensor 5 attached to the second unit 4. The second sensor 5 measures a physical quantity caused by vibration of the second unit 4 and outputs second measurement data corresponding to the measured physical quantity. The physical quantity measured by the second sensor 5 may be, for example, acceleration, angular velocity, velocity, displacement, pressure, current, voltage, etc. The second measurement data may be an analog signal or a digital signal. The notification device 1 may further extract a second feature from the second measurement data measured on the second unit 4 by the second sensor 5, generate information related to the state of the second unit 4 based on the extracted second feature, and output notification information including information related to the state of the first unit 2 and the state of the second unit 4.

[0012] The notification information may include image information. The image information may include an object related to the state of the first unit 2 or the second unit 4. For example, the object may be a radar chart or a level meter showing the state of multiple components included in the first unit 2 or the second unit 4. The notification information may also include sound information, or may include information for vibrating a vibration unit (not shown). That is, the notification device 1 may output the notification information by displaying an image, by generating a sound, or by generating a vibration, for example, by vibration.

[0013] In the following explanation, we will use the example where the first unit 2 and the second unit 4 are power units of an automobile, but the first unit 2 and the second unit 4 may also be power units of a moving body other than an automobile, or may be units other than power units.

[0014] 2. Example of a power unit 2 to 8 are diagrams showing examples of the configuration of a drive system including a power unit of an automobile AM. In the examples of Fig. 2 to 8, the automobile AM ​​is a four-wheeled automobile having a right front wheel WFR, a left front wheel WFL, a right rear wheel WRR, a left rear wheel WRL, a front axle FS connected to the right front wheel WFR and the left front wheel WFL, and a rear axle RS connected to the right rear wheel WRR and the left rear wheel WRL. However, the automobile AM ​​is not limited to a four-wheeled vehicle and may be, for example, a six-wheeled vehicle.

[0015] The automobile AM ​​shown in FIG. 2 is an electric vehicle, and includes a first unit 2, a battery 50, and a first inverter 61 as a drive train. The first unit 2 is a power unit and includes a first motor 10 and a transmission 40. The first motor 10 is a drive motor and includes a first motor shaft 11, a first rotor 12, and a first stator 13. The automobile AM ​​runs using power stored in the battery 50 and the first motor 10. When the automobile AM ​​is running, the first inverter 61 converts direct current from the battery 50 into alternating current and applies it to the first motor 10. The transmission 40 is connected to the first motor shaft 11, adjusts the rotation speed of the first motor 10, and transmits power to the right front wheel WFR and the left front wheel WFL via the front axle FS. On the other hand, during regeneration, the first inverter 61 converts power from the first motor 10 to alternating current. The AC generated by 10 is converted into DC to charge the battery 50. The first sensor 3 is, for example, a three-axis acceleration sensor, and is attached to the first unit 2 at a predetermined position.

[0016] The automobile AM ​​shown in FIG. 3 is a series hybrid vehicle, and its drivetrain includes a first unit 2, a battery 50, and a first inverter 61. The first unit 2 is a power unit and includes a first motor 10, a second motor 20, a transmission 40, and an internal combustion engine (engine) 41. The first motor 10 is a drive motor and includes a first motor shaft 11, a first rotor 12, and a first stator 13. The second motor 20 is a generator motor connected to the internal combustion engine 41 and includes a second motor shaft 21, a second rotor 22, and a second stator 23. The automobile AM ​​runs on power stored in the battery 50 and the first motor 10. When the automobile AM ​​is running, the first inverter 61 converts direct current from the battery 50 into alternating current and applies it to the first motor 10. The transmission 40 is connected to the first motor shaft 11 and adjusts the rotation speed of the first motor 10 to transmit power to the right front wheel WFR and the left front wheel WFL via the front axle FS. During regeneration, the first inverter 61 converts AC power generated by the first motor 10 to DC power to charge the battery 50. The internal combustion engine 41 is connected to the second motor shaft 21 and transmits driving power for power generation to the second motor 20, which rotates using the driving power of the internal combustion engine 41 to generate power. In other words, the internal combustion engine 41 and the second motor 20 form a generator, and the second inverter 62 converts AC power generated by the second motor 20 to DC power to charge the battery 50. Therefore, the first motor 10 generates power by receiving power generated by the second motor 20. This drivetrain configuration allows the capacity of the battery 50 to be kept to a minimum. The first sensor 3 is, for example, a three-axis acceleration sensor, and is attached to the first unit 2 at a predetermined location.

[0017] The automobile AM ​​shown in FIGS. 4 to 7 is a parallel hybrid vehicle, and its drivetrain includes a first unit 2, a battery 50, and a first inverter 61. The first unit 2 is a power unit and includes a first motor 10, a second motor 20, a transmission 40, and an internal combustion engine (engine) 41. The first motor 10 is a drive motor and includes a first motor shaft 11, a first rotor 12, and a first stator 13. The second motor 20 is a power generating motor connected to the internal combustion engine 41 and includes a second motor shaft 21, a second rotor 22, and a second stator 23. The automobile AM ​​runs using the power of at least one of the internal combustion engine 41 and the first motor 10. During regeneration, the first inverter 61 converts the alternating current generated by the first motor 10 into direct current to charge the battery 50. The internal combustion engine 41 is connected to the second motor shaft 21 and transmits driving force for generating electricity to the second motor 20, which rotates using the driving force of the internal combustion engine 41 to generate electricity. In other words, the internal combustion engine 41 and the second motor 20 form a generator, and the second inverter 62 converts the AC generated by the second motor 20 into DC to charge the battery 50. Therefore, the first motor 10 generates power by receiving the power generated by the second motor 20. This drivetrain configuration improves fuel efficiency during driving and makes it possible to minimize the capacity of the battery 50. The first sensor 3 is, for example, a three-axis acceleration sensor and is attached to a predetermined location on the first unit 2.

[0018] The automobile AM ​​shown in FIG. 4 basically runs on the power of the internal combustion engine 41, and when accelerating or running at low speeds, etc., which put a load on the internal combustion engine 41, it runs on the power of the internal combustion engine 41 as well as the power stored in the battery 50 and the power of the first motor 10. When the automobile AM ​​is accelerating or running at low speeds, etc., the first inverter 61 converts the direct current from the battery 50 into alternating current and applies it to the first motor 10. The transmission 40 is It is connected to the shaft 11, adjusts the rotation speed of the internal combustion engine 41 and the first motor 10, and transmits power to the right front wheel WFR and the left front wheel WFL via the front axle FS.

[0019] In the automobile AM ​​shown in Figure 5, the first unit 2 includes a clutch 42, and a transmission 40 is connected to the first motor shaft 11. The clutch 42 connects or disconnects the transmission 40 from an internal combustion engine 41. The transmission 40 adjusts the rotation speed of the first motor 10, and when the internal combustion engine 41 is connected, it also adjusts the rotation speed of the internal combustion engine 41 and transmits power to the right front wheel WFR and the left front wheel WFL via the front axle FS. This drivetrain configuration realizes a mode in which the vehicle runs only on the first motor 10 without using the internal combustion engine 41, thereby achieving improved fuel efficiency during driving.

[0020] In the automobile AM ​​shown in FIG. 6, the first unit 2 includes a planetary gear 43, which is a power split mechanism, and the planetary gear 43 is connected to an output shaft (crankshaft) of the internal combustion engine 41, a first motor shaft 11, a second motor shaft 21, and the transmission 40. The planetary gear 43 is configured as a single-pinion planetary gear mechanism. A sun gear (not shown) of the planetary gear 43 is connected to the first motor shaft 11. A ring gear (not shown) of the planetary gear 43 is connected to the second motor shaft 21 and the transmission 40. A carrier (not shown) of the planetary gear 43 is connected to the crankshaft of the internal combustion engine 41. The transmission 40 is connected to the first motor 10 and the internal combustion engine 41 via a planetary gear 43, adjusts the rotation speed of the first motor 10 and the internal combustion engine 41, and transmits power to the right front wheel WFR and the left front wheel WFL via the front axle FS. This drivetrain configuration makes it possible to vary the mixing ratio between the power of the first motor 10 and the power of the internal combustion engine 41, thereby achieving improved fuel efficiency during driving.

[0021] The drive system of the automobile AM ​​shown in FIG. 7 is the same as the drive system of the automobile AM ​​shown in FIG. 6 except that a second unit 4 and a third inverter 63 are added. The second unit 4 is a power unit and includes a third motor 30 and a transmission 70. The third motor 30 is a drive motor and includes a third motor shaft 31, a third rotor 32, and a third stator 33. The automobile AM ​​is basically propelled by the internal combustion engine 41 and the first motor 10, and during acceleration, low-speed driving, and other times when a load is placed on the internal combustion engine 41 and the first motor 10, the automobile AM ​​is propelled by the power of the third motor 30 in addition to the power of the internal combustion engine 41 and the first motor 10. During acceleration, low-speed driving, and other times when the automobile AM ​​is accelerating, the third inverter 63 converts direct current from the battery 50 into alternating current and applies it to the third motor 30. The transmission 70 is connected to the third motor shaft 31, adjusts the rotation speed of the third motor 30, and transmits power to the right rear wheel WRR and the left rear wheel WRL via the rear axle RS. Meanwhile, during regeneration, the third inverter 63 converts the AC generated by the third motor 30 into DC to charge the battery 50. With this drivetrain configuration, the third motor 30 provides assistance during acceleration and low-speed driving, thereby improving fuel efficiency during driving. The second sensor 5 is, for example, a three-axis acceleration sensor, and is attached to a predetermined location on the second unit 4.

[0022] The automobile AM ​​shown in FIG. 8 is a mild hybrid vehicle, and its drive system includes a first unit 2, a battery 80, and a first inverter 61. The first unit 2 is a power unit and includes a first motor 10, a transmission 40, and an internal combustion engine 41. The first motor 10 is a drive motor and includes a first motor shaft 11, a first rotor 12, and a first stator 13. The automobile AM ​​basically runs using the power of the internal combustion engine 41, and during acceleration or low-speed running when a load is placed on the internal combustion engine 41, the automobile AM ​​runs using the power of the internal combustion engine 41, as well as the power stored in the battery 80 and the first motor 10. When the automobile AM ​​is accelerating or running at low speed, the first inverter 61 converts direct current from the battery 80 into alternating current and applies it to the first motor 10. The transmission 40 is connected to the internal combustion engine 41 and the first motor shaft 11, and adjusts the rotation speeds of the internal combustion engine 41 and the first motor 10. , and transmits power to the right front wheel WFR and the left front wheel WFL via the front axle FS. The first motor 10 is an inexpensive motor with relatively low driving capacity, and the automobile AM ​​cannot generally run on the power of the first motor 10 alone. The internal combustion engine 41 is connected to the first motor shaft 11 and transmits driving power for generating electricity to the first motor 10, which rotates using the driving power of the internal combustion engine 41 to generate electricity. In other words, the internal combustion engine 41 and the first motor 10 form a generator, and the first inverter 61 converts the AC generated by the first motor 10 to DC to charge the battery 80. This drivetrain configuration improves fuel efficiency during driving, while also enabling the battery 80 to have a smaller capacity and the first unit 2 to be made less expensive. The first sensor 3 is, for example, a three-axis acceleration sensor and is attached to a predetermined location on the first unit 2.

[0023] 3. Notification Device Configuration FIG. 9 is a diagram illustrating an example configuration of the notification device 1. As illustrated in FIG. 9, the notification device 1 includes a first sensor 3, a processing circuit 100, a memory circuit 110, an operation unit 120, a display unit 130, a sound output unit 140, a vibration unit 150, and a communication unit 160. The notification device 1 may also include a second sensor 5. Note that the notification device 1 may be configured by omitting or modifying some of the components shown in FIG. 9, or by adding other components. For example, the first sensor 3 and the second sensor 5 do not have to be components of the notification device 1. The notification device 1 may be provided inside the automobile AM ​​or outside the automobile AM. Furthermore, the image information displayed on the display unit 130 of the notification device 1 may be displayed on the monitor of a personal computer, or on the display unit of a smartphone or tablet terminal.

[0024] As described above, the first sensor 3 measures a physical quantity caused by vibration of the first unit 2 and outputs first measurement data corresponding to the measured physical quantity. The first measurement data is input to the processing circuit 100. Furthermore, if the second sensor 5 is present, the second sensor 5 measures a physical quantity caused by vibration of the second unit 4 and outputs second measurement data corresponding to the measured physical quantity. The second measurement data is input to the processing circuit 100.

[0025] The processing circuit 100 acquires the first measurement data and performs predetermined calculation processing. Furthermore, if the second sensor 5 is present, the processing circuit 100 acquires the second measurement data and performs predetermined calculation processing. Note that, if the first measurement data and the second measurement data are analog signals, an analog front end (not shown) performs amplification processing, A / D conversion processing, etc. on the first measurement data and the second measurement data to convert them into digital signals, and the processing circuit 100 performs predetermined calculation processing on the first measurement data and the second measurement data converted into digital signals. Specifically, the processing circuit 100 executes a notification processing program 111 stored in the memory circuit 110 and performs various calculation processing on the first measurement data and the second measurement data. In addition, the processing circuit 100 performs various processes in response to operation signals from the operation unit 120, a process of transmitting display signals for displaying various images on the display unit 130, a process of transmitting sound signals for generating various sounds to the sound output unit 140, a process of transmitting vibration signals for generating various vibrations to the vibration unit 150, and a process of controlling the communication unit 160 for data communication with an external device (not shown). The processing circuit 100 is realized by, for example, a CPU or a DSP. CPU is an abbreviation for Central Processing Unit, and DSP is an abbreviation for Digital Signal Processor.

[0026] The processing circuit 100 executes the notification processing program 111 to function as a measurement data acquisition circuit 101, a feature extraction circuit 102, a status information generation circuit 103, and a notification information output circuit 104. That is, the notification device 1 includes the measurement data acquisition circuit 101, the feature extraction circuit 102, the status information generation circuit 103, and the notification information output circuit 104.

[0027] The measurement data acquisition circuit 101 acquires first measurement data measured by the first sensor 3 for the first unit 2. Furthermore, if a second sensor 5 is present, the measurement data acquisition circuit 101 acquires first measurement data measured by the first sensor 3 for the first unit 2. The acquisition circuit 101 acquires second measurement data measured by the second sensor 5 for the second unit 4. The first measurement data and second measurement data acquired by the measurement data acquisition circuit 101 are stored in the memory circuit 110.

[0028] The feature extraction circuit 102 extracts a first feature from the first measurement data acquired by the measurement data acquisition circuit 101. The feature extraction circuit 102 is realized by an AI model that learns to predict future values ​​of the first measurement data. AI is an abbreviation for Artificial Intelligence. The AI ​​model is a machine learning model that automatically learns patterns and rules from the first measurement data and classifies and predicts the first measurement data. The first feature is a quantitative numerical expression of the first measurement data and represents the essential attributes and patterns of the first measurement data. The AI ​​model performs data analysis using the first feature and predicts future values ​​of the first measurement data.

[0029] 10 is a diagram showing an example of the configuration of the feature extraction circuit 102. As shown in FIG.

[0030] The encoder 201 is realized by using, for example, a recurrent neural network, and converts p measurement values ​​x1 to x2 of the first measurement data acquired in time series. p is input, and r first features z1 to z r Outputs the measured values ​​x1 to x p are m-dimensional vectors each consisting of m elements. For example, when the first measurement data is triaxial acceleration data, the measurement values ​​x1 to x p are three-dimensional vectors. r are n-dimensional vectors consisting of n elements. The total number of measurements, p, and the integer r are set to appropriate values ​​by the creator of the AI ​​model.

[0031] The decoder 202 is realized by using, for example, a recurrent neural network, and generates r first features z1 to z2 output from the encoder 201.r is input, and q predicted values ​​y1 to y q The predicted values ​​y1~y q are m-dimensional vectors each consisting of m elements.

[0032] This AI model is a trained model, and the decoder 202 calculates p measurement values ​​x1 to x2 of the first measurement data. p The following q predicted values ​​y1 to y q Alternatively, the decoder 202 may learn to output p measurement values ​​x1 to x2 of the first measurement data, where p=q. p is restored as it is and the q predicted values ​​y1 to y q The AI ​​model can be trained to output the normal data of the first unit 2 without requiring abnormal data from the first unit 2, and can be trained without a teacher using only the normal data from the first unit 2. If abnormal data from the first unit 2 is available, the AI ​​model can also be trained in a supervised manner using both the normal data and the abnormal data. By realizing the encoder 201 and the decoder 202 using a recurrent neural network, the first measurement data, which is time waveform data, can be input directly to the AI ​​model. As a result of the training, the first feature values ​​z1 to z2 passed from the encoder 201 to the decoder 202 are r The information expressing the state of the first unit 2 is collected in

[0033] If the second sensor 5 is present, the feature extraction circuit 102 extracts a second feature from the second measurement data acquired by the measurement data acquisition circuit 101. The specific process by which the feature extraction circuit 102 extracts the second feature from the second measurement data is similar to the process of extracting the first feature from the first measurement data described above, and therefore a description thereof will be omitted. The first feature and second feature extracted by the feature extraction circuit 102 are stored in the memory circuit 110.

[0034] The state information generating circuit 103 generates information relating to the state of the first unit 2 based on the first feature extracted from the first measurement data by the feature extracting circuit 102. The information relating to the state of the first unit 2 may be information indicating whether the state of the first unit 2 is normal or abnormal. The state information generating circuit 103 may be information indicating the state of the first unit 2, or may be information indicating the degree of deterioration or remaining life of the first unit 2. The state of the first unit 2 may be the state of each of the multiple components constituting the first unit 2, and the information relating to the state of the first unit 2 may be information indicating whether the state of each of the components is normal or abnormal, or may be information indicating the degree of deterioration or remaining life of each of the components. For example, the state information generating circuit 103 classifies the state of the first unit 2 by principal component analysis or support vector machine (SVM) based on the first feature amount, and generates information relating to the state of the first unit 2.

[0035] For example, if the AI ​​model that is the feature extraction circuit 102 has been trained using only normal data of the first unit 2, the state information generation circuit 103 may calculate the degree of degradation as the Mahalanobis distance from the center point of the normal region in the feature space after transformation by principal component analysis. Also, if the AI ​​model has been trained using normal data and abnormal data of the first unit 2, the state information generation circuit 103 may calculate both the Mahalanobis distance from the center point of the normal region and the Mahalanobis distance from the center point of the abnormal region in the feature space after transformation by principal component analysis, and calculate the ratio of the two as the degree of degradation.

[0036] If the second sensor 5 is present, the status information generation circuit 103 generates information about the status of the second unit 4 based on the second feature extracted from the second measurement data by the feature extraction circuit 102. The information about the status of the second unit 4 may be information indicating whether the status of the second unit 4 is normal or abnormal, or information indicating the degree of deterioration or remaining life of the second unit 4. The status of the second unit 4 may be the status of each of the multiple components constituting the second unit 4, and the information about the status of the second unit 4 may be information indicating whether the status of each component is normal or abnormal, or information indicating the degree of deterioration or remaining life of each component. The specific process by which the status information generation circuit 103 generates the information about the status of the second unit 4 based on the second feature is similar to the process for generating the information about the status of the first unit 2 based on the first feature described above, and therefore, a description thereof will be omitted. The information generated by the status information generation circuit 103 is stored in the storage circuit 110.

[0037] The notification information output circuit 104 outputs notification information including information related to the state of the first unit 2 generated by the state information generation circuit 103. When the second sensor 5 is present, the notification information output circuit 104 outputs notification information including information related to the state of the first unit 2 generated by the state information generation circuit 103 and information related to the state of the second unit 4. The notification information may include a threshold value for determining whether or not there is an abnormality in the first unit 2.

[0038] The memory circuitry 110 has a ROM and a RAM (not shown). ROM is an abbreviation for Read Only Memory, and RAM is an abbreviation for Random Access Memory. The ROM stores various programs such as the notification processing program 111 and predetermined data, and the RAM stores data generated by the processing circuitry 100. The RAM is also used as a working area for the processing circuitry 100, and stores programs and data read from the ROM, data input from the operation unit 120, and data temporarily generated by the processing circuitry 100.

[0039] The operation unit 120 is an input device configured with operation keys, button switches, etc., and outputs an operation signal to the processing circuit 100 in response to an operation by a user.

[0040] The display unit 130 is a display device configured with an LCD or the like, and displays various images based on a display signal output from the processing circuit 100. LCD is an abbreviation for Liquid Crystal Display. The display unit 130 may be provided with a touch panel that functions as the operation unit 120. For example, the display unit 130 displays an image based on image information included in the notification information based on a display signal output from the processing circuit 100. For example, when the state of the first unit 2 is abnormal, the processing circuit 100 outputs a display signal to the display unit 130, and the display unit 13 0 to display a warning image. Also, for example, the processing circuit 100 may cause the display unit 130 to display an image including the degree of deterioration of the first unit 2. For example, the display unit 130 may be a display installed in the automobile AM. The display unit 130 may be a monitor of a personal computer, or a display unit of a smartphone or tablet terminal.

[0041] The sound output unit 140 is configured with a speaker or the like, and generates various sounds based on the sound signal output from the processing circuit 100. For example, the sound output unit 140 generates a sound based on sound information included in the notification information, based on the sound signal output from the processing circuit 100. For example, when the state of the first unit 2 is abnormal, the processing circuit 100 may output a sound signal to the sound output unit 140, causing the sound output unit 140 to generate a warning sound or voice. For example, the sound output unit 140 may be a speaker installed in an automobile AM.

[0042] The vibration unit 150 generates various vibrations based on the vibration signal output from the processing circuit 100. Specifically, the vibration unit 150 generates vibrations based on information for vibrating the vibration unit 150, which is included in the notification information, based on the vibration signal output from the processing circuit 100. For example, when the state of the first unit 2 is abnormal, the processing circuit 100 may output a vibration signal to the vibration unit 150 to vibrate the vibration unit 150. For example, the vibration unit 150 may be a vibration device incorporated in the steering wheel of an automobile AM.

[0043] The communication unit 160 performs various controls to establish data communication between the processing circuit 100 and an external device. For example, the communication unit 160 transmits notification information to the external device. The external device may display at least a part of the image information included in the received notification information on a display unit (not shown).

[0044] At least some of the measurement data acquisition circuit 101, the feature extraction circuit 102, the status information generation circuit 103, and the notification information output circuit 104 may be realized by dedicated hardware. Furthermore, the notification device 1 may be a single device or may be configured by multiple devices. For example, the processing circuit 100 and the memory circuit 110 may be realized by a cloud server or the like, and the cloud server may generate notification information and transmit the generated notification information to the display unit 130, the sound output unit 140, and the vibration unit 150 via a communication line. Furthermore, the notification device 1 may not include the measurement data acquisition circuit 101, the feature extraction circuit 102, and the status information generation circuit 103, but may include the notification information output circuit 104, and the external device may include the measurement data acquisition circuit 101, the feature extraction circuit 102, and the status information generation circuit 103. In this case, the external device may send notification information to the notification device 1, and the notification device 1 may receive the notification information and output images, sounds, and vibrations based on the notification information to the display unit 130, sound output unit 140, and vibration unit 150, respectively.

[0045] 4. Example of analysis of the status of the first unit First, an example of analyzing the deterioration level of the first unit 2 shown in FIG. 7 will be described using FIGS. 11 to 23. From the first measurement data measured by the first sensor 3 while the automobile AM ​​was traveling along the course, vibrations in a state where the steering was held constant for at least one second were extracted and used for analysis. The first sensor 3 was a uniaxial acceleration sensor with a sampling rate of 1000 sps and a built-in 512-tap low-pass filter with a cutoff frequency of 460 Hz, attached to the first unit 2. To perform classification learning of the deterioration state of the planetary gear 43, data was measured with a planetary gear 43 in an advanced state, and then the planetary gear 43 was replaced with a new one, and the same data measurement was repeated.

[0046] 11 is a diagram showing three seconds of data extracted from the first measurement data acquired by rotating the deteriorated planetary gear 43 at a low speed. 11 is a diagram showing the amplitude spectral density calculated for data over 10 ...

[0047] Fig. 14 is a diagram showing three seconds of data extracted from the first measurement data acquired by rotating a deteriorated planetary gear 43 at high speed. Fig. 15 is a diagram showing the amplitude spectral density calculated for one second of the data in Fig. 14. Fig. 16 is a diagram showing the RMS, P2P, and crest factor calculated every 0.1 seconds for the data in Fig. 14. In Fig. 16, the dashed-dotted line represents the RMS, the broken line represents the P2P, and the solid line represents the crest factor.

[0048] Fig. 17 is a diagram showing three seconds of data extracted from the first measurement data acquired by rotating a brand new planetary gear 43 at low speed. Fig. 18 is a diagram showing the amplitude spectral density calculated for one second of the data in Fig. 17. Fig. 19 is a diagram showing the RMS, P2P, and crest factor calculated every 0.1 seconds for the data in Fig. 17. In Fig. 19, the dashed-dotted line represents the RMS, the broken line represents the P2P, and the solid line represents the crest factor.

[0049] Fig. 20 is a diagram showing three seconds of data extracted from the first measurement data acquired by rotating a brand new planetary gear 43 at high speed. Fig. 21 is a diagram showing the amplitude spectral density calculated for one second of the data in Fig. 20. Fig. 22 is a diagram showing the RMS, P2P, and crest factor calculated every 0.1 seconds for the data in Fig. 20. In Fig. 22, the dashed-dotted line is the RMS, the broken line is the P2P, and the solid line is the crest factor.

[0050] Comparing Figures 13 and 16, and comparing Figures 19 and 22, it is clear that the RMS and P2P are different when the planetary gear 43 rotates at high speed and low speed, but the crest factor values ​​are similar. Comparing Figures 13 and 19, and comparing Figures 16 and 22, it is clear that the RMS, P2P, and crest factor are different between a deteriorated planetary gear 43 and a new planetary gear 43, with the difference in crest factor being particularly large. Therefore, the condition of the first unit 2 can be classified by having an AI model learn the RMS, P2P, and crest factor as first feature quantities. The AI ​​model may learn the first measurement data itself, or it may learn the amplitude spectral density.

[0051] FIG. 23 is a plot of the results of principal component analysis performed on the first feature quantities output from the AI ​​model encoder 201. The first measurement data input to the AI ​​model encoder 201 was the first measurement data measured for the first unit 2 including a deteriorated planetary gear 43 and the first measurement data measured for the first unit 2 including a new planetary gear 43. In FIG. 23, the three ellipses correspond to the standard deviations σ, 2σ, and 3σ of the Mahalanobis distance. The diagonal direction shown in FIG. 23 reflects whether the planetary gear 43 is in a low-speed state or a high-speed state, and it can be seen that the leftward direction in FIG. 23 corresponds to the direction of gear deterioration.

[0052] Next, we will show an example in which principal component analysis is performed on the first measurement data measured sequentially during a 300-minute run of the automobile AM, the data is plotted as shown in Figure 23, the Mahalanobis distance is calculated, and the reciprocal of the Mahalanobis distance is fitted to an exponential function deterioration model to estimate the remaining life of the first unit 2. As an exponential function deterioration model, the health indicator f(t) of the first unit 2 at a given time t is defined as in equation (1). In equation (1), a is is the initial health indicator value, and b is a parameter indicating the deterioration rate. The health indicator f(t) is the inverse of the Mahalanobis distance calculated from the first measurement data at time t.

[0053]

number

[0054] FIG. 24 is a graph plotting 300 minutes of first measurement data, with the horizontal axis representing time and the vertical axis representing the health indicator (the inverse of the Mahalanobis distance). The curve shown in FIG. 24 represents an exponential deterioration model obtained by calculating the optimal values ​​of a and b in Equation (1) using the least squares method for the plot. When this exponential deterioration model falls below a predetermined threshold, it is assumed that the lifespan has been reached, and the remaining lifespan can be estimated. The threshold is set, for example, to the minimum health indicator value that allows safe operation of the first unit 2. For example, if the threshold is set to 0.3, it is predicted that the health indicator value will reach 0.3 in 820 minutes, so the remaining lifespan is estimated to be 520 minutes (= 820 minutes - 300 minutes).

[0055] 5. Notification information display example 25 to 31 show examples of image information displayed on the display unit 130 as notification information. The image information shown in FIGS. 25 and 26 includes, as objects relating to the state of the first unit 2, an object OB1 indicating the vibration level of the drive motor for the front wheels of the automobile AM ​​and an object OB3 indicating the vibration level of the generator. The image information shown in FIGS. 25 and 26 also includes, as objects relating to the state of the second unit 4, an object OB2 indicating the vibration level of the drive motor for the rear wheels of the automobile AM. For example, in the automobile AM ​​shown in FIG. 7, the notification device 1 can acquire two pieces of first measurement data from two first sensors 3 attached to the first motor 10 and the second motor 20 of the first unit 2, respectively, to generate objects OB1 and OB3, and acquire second measurement data from the second sensor 5 attached to the third motor 30 of the second unit 4 to generate object OB2.

[0056] The image information shown in FIG. 26 further includes an object OB4, which is displayed, for example, on a monitor attached to a meter provided on an instrument panel in front of the driver's seat. The object OB4 is an energy monitor object, which is an abstract graphic representation of each of the components of the automobile AM ​​shown in FIG. 7, namely, the right front wheel WFR, the left front wheel WFL, the right rear wheel WRR, the left rear wheel WRL, the first motor 10, the second motor 20, the third motor 30, the internal combustion engine 41, and the battery 50, as well as the energies EG1 to EG6 flowing between the components. In the image information shown in FIG. 26, the object OB4 is arranged alongside the objects OB1, OB2, and OB3. The vibration level objects displayed are not limited to the objects OB1, OB2, and OB3, and may be objects representing the vibration levels of elements selected by the user for the object OB4.

[0057] The image information shown in Fig. 27 includes an object OB5. The object OB5 is a graph object showing how the vibration level changes according to the rotation speed in each of the four modes of the first unit 2, for example, eco mode, normal mode, sport mode, and high power mode. Because the magnitude of the load on the first unit 2 differs depending on the mode of the first unit 2, it can be observed that this also causes a difference in the vibration level.

[0058] The image information shown in FIG. 28 includes an object OB11 that resembles a power unit, four level meter objects OB12 that are objects relating to the state of the first unit 2, The objects OB12, OB13, OB14, and OB15 are included. The object OB12 indicates the state of the first motor shaft 11, which is a component of the first unit 2. The object OB13 indicates the state of the first motor 10, which is a component of the first unit 2. The object OB14 indicates the state of the planetary gear 43, which is a component of the first unit 2. The object OB15 indicates the state of the second motor 20, which is a component of the first unit 2. For example, the state of each component of the first unit 2 is a deterioration level, and the higher the level in the objects OB12, OB13, OB14, and OB15, the greater the degree of deterioration. For example, the state of each component is normal if the level is equal to or lower than a threshold TH1, abnormal if the level is equal to or higher than a threshold TH2, and normal but approaching an abnormal state if the level is between the thresholds TH1 and TH2. For example, in the objects OB12, OB13, OB14, and OB15, the portions where the level is equal to or less than the threshold TH1 may be displayed in green, the portions where the level is between the threshold TH1 and the threshold TH2 may be displayed in yellow, and the portions where the level is equal to or greater than the threshold TH2 may be displayed in red. In other words, the objects OB12, OB13, OB14, and OB15 may be objects that resemble patrol lights.

[0059] The image information shown in FIG. 29 includes a radar chart object OB21 and an FFT result object OB22 as objects related to the state of the first unit 2. The object OB21 indicates the deterioration level of each component included in the first unit 2, which is the power unit of the automobile AM: the crankshaft, the first motor 10 (which is a drive motor), the first motor shaft 11, the generator, the transmission 40, and the planetary gear 43. For example, the state of each component is normal if the deterioration level is equal to or lower than a threshold value TH1; abnormal if the deterioration level is equal to or higher than a threshold value TH2; and normal but approaching an abnormal state if the deterioration level is between the threshold values ​​TH1 and TH2. The object OB22 is a graph of the FFT result of the first measurement data. The image information shown in FIG. 29 also includes an object OB23 of the course along which the automobile AM ​​travels. The object OB23 includes a pointer PT indicating the position of the automobile AM ​​while it is traveling. The position of the pointer PT changes in conjunction with the traveling position of the automobile AM, and the objects OB21 and OB22 also change in conjunction with the traveling position of the automobile AM. When the user moves the pointer PT, the objects OB21 and OB22 may display information about when the automobile AM ​​previously passed the position indicated by the pointer PT.

[0060] The image shown in FIG. 30 includes radar chart objects OB31 and OB32 as objects relating to the state of the first unit 2. In the example of FIG. 30, object OB31 is similar to object OB21 in FIG. 29 and indicates the degree of deterioration as the current state of each part. Object OB32 indicates the degree of deterioration as the predicted future state of each part. In the example of FIG. 30, the degree of deterioration of each part is currently normal and is below threshold TH1, but the deterioration of planetary gear 43 progresses over time, and the degree of deterioration is predicted to exceed threshold TH1.

[0061] The image shown in FIG. 31 includes a graph object OB41 that includes a normal region A1 and a fault region A2 as an object related to the state of the first unit 2. In the example of FIG. 31, the graph is similar to the graph shown in FIG. 24 and shows a curve of an exponential deterioration model. The region where the health indicator value is greater than 0.3 corresponds to the normal region A1 where the first unit 2 is normal, and the region where the health indicator value is 0.3 or less corresponds to the fault region A2 where the first unit 2 is faulty. The example of FIG. 31 shows that if the current time is 300 minutes, the remaining life is estimated to be 520 minutes (= 820 minutes - 300 minutes).

[0062] 6.Notification method 32 is a flowchart showing the procedure of the notification method of this embodiment. The notification method of this embodiment is, for example, performed by the processing circuit 100 of the notification device 1 in accordance with the notification processing program 111. In other words, the notification processing program 111 is a program that causes the notification device 1, which is a computer, to execute each step of the flowchart shown in FIG.

[0063] 32, first, in a measurement data acquisition step S10, the processing circuit 100 functions as a measurement data acquisition circuit 101 and acquires first measurement data measured by the first sensor 3 for the first unit 2. If a second sensor 5 is present, the measurement data acquisition circuit 101 further acquires second measurement data measured by the second sensor 5 for the second unit 4.

[0064] Next, in a feature extraction step S20, the processing circuit 100 functions as the feature extraction circuit 102 and extracts a first feature from the first measurement data acquired in step S10. If a second sensor 5 is present, the feature extraction circuit 102 further extracts a second feature from the second measurement data acquired in step S10.

[0065] Next, in a state information generating step S30, the processing circuit 100 functions as a state information generating circuit 103, and generates information relating to the state of the first unit 2 based on the first feature extracted from the first measurement data in step S20. If a second sensor 5 is present, the state information generating circuit 103 further generates information relating to the state of the second unit 4 based on the second feature extracted from the second measurement data in step S20.

[0066] Next, in a notification information output step S40, the processing circuit 100 functions as the notification information output circuit 104 and outputs notification information including the information related to the state of the first unit 2 generated in step S30. If the second sensor 5 is present, the notification information output circuit 104 outputs notification information including the information related to the state of the first unit 2 and the information related to the state of the second unit 4 generated in step S30.

[0067] Then, the processing circuit 100 repeats steps S10 to S40 until the notification process is completed in step S50.

[0068] If the automobile AM ​​is a connected car, an autonomous vehicle, or a similar vehicle, it is equipped with a control unit, a memory unit, a communication unit, and an operating unit. The control unit is a control device that oversees the automobile AM. The memory unit is a storage device that stores various information, such as information for connecting to a server system on the cloud, information about the automobile AM, and map information. The communication unit transmits and receives various information under the control of the control unit and is equipped with a transmission unit and a reception unit. When a warning light on the automobile AM ​​comes on, the transmission unit transmits fault information related to the automobile AM's malfunction, and the reception unit receives diagnostic information and response information for the fault information transmitted from the server system. The server system notifies a call center or various monitoring centers of the fault information, and operators or monitors provide appropriate advice, such as whether to continue driving, stop, or pull over to the side of the road. Communication between the communication unit and the server system is performed using radio access technology (RAT).

[0069] RATs include WiMAX (Worldwide Interoperability for Microwave Access), GSM (Global System for Mobile Communications) (2G), GSM EDGE Radio Access Network (GERAN), General Packet Radio Service (GPRS), Universal Mobile Telecommunications System (UMTS) (3G) based on basic Wideband-Code Division Multiple Access (W-CDMA), High-Speed ​​Packet Access (HSPA), and Long-Term Evolution (LTE). These include Long Term Evolution (LTE), LTE-Advanced, and enhanced LTE (eLTE). "eLTE" is an evolution of LTE that connects to the 5G core. LTE is also known as evolved UMTS Terrestrial Radio Access (EUTRA) or evolved UMTS Terrestrial Radio Access Network (EUTRAN).

[0070] 7. Action and Effects As described above, the notification device 1 of this embodiment allows the user to objectively recognize the state of the first unit 2 based on the information related to the state of the first unit 2 included in the notification information. For example, the user, such as a driver of the various types of automobiles AM shown in FIGS. 2 to 8, can objectively recognize the presence or absence of an abnormality in the first unit 2, the degree of deterioration, etc., based on the notification information. In particular, by using an AI model to predict future values ​​of measurement data and extract feature amounts, the user can objectively recognize the state of the first unit 2 based on the notification information generated based on the feature amounts.

[0071] Furthermore, according to the notification device 1 of this embodiment, the notification information includes image information that includes an object related to the state of the first unit 2, allowing the user to visually recognize the state of the first unit 2 objectively. For example, if the object is a radar chart that shows the states of multiple parts included in the first unit 2, the user can easily visually recognize the states of the multiple parts. Furthermore, the notification information includes thresholds TH1 and TH2 for determining whether or not there is an abnormality in the first unit 2, allowing the user to easily determine whether or not there is an abnormality in the first unit 2.

[0072] Furthermore, according to the notification device 1 of this embodiment, the notification information includes sound information, allowing the user to auditorily recognize the state of the first unit 2. Furthermore, according to the notification device 1 of this embodiment, the notification information includes information for vibrating the vibration section 150, allowing the user to tactilely recognize the state of the first unit 2.

[0073] The present invention is not limited to the present embodiment, and various modifications are possible within the scope of the present invention.

[0074] The above-described embodiment and modifications are merely examples, and the present invention is not limited to these. For example, the embodiments and modifications can be combined as appropriate.

[0075] The present invention includes configurations that are substantially the same as the configurations described in the embodiments, for example, configurations with the same functions, methods, and results, or configurations with the same purpose and effects. The present invention also includes configurations that replace non-essential parts of the configurations described in the embodiments. The present invention also includes configurations that achieve the same effects or purposes as the configurations described in the embodiments. The present invention also includes configurations that add publicly known technology to the configurations described in the embodiments.

[0076] The following can be derived from the above-described embodiment and modifications.

[0077] One aspect of the notification device is a first motor including a first motor shaft, a first rotor, and a first stator; The gearbox and and outputs notification information including information related to the state of the first unit, which is generated based on a first feature extracted from first measurement data in which a physical quantity caused by vibration of the first unit, including the first feature extracted from the first measurement data, is measured.

[0078] According to this notification device, the user can objectively recognize the state of the first unit based on the information relating to the state of the first unit contained in the notification information.

[0079] In one aspect of the notification device, The first unit may include an internal combustion engine.

[0080] In one aspect of the notification device, The first unit may include a second motor connected to the internal combustion engine and including a second motor shaft, a second rotor, and a second stator, and the first motor may be supplied with electricity generated by the second motor.

[0081] In one aspect of the notification device, The first unit is an output shaft of the internal combustion engine; the first motor shaft; the second motor shaft; The power split mechanism may include a power split mechanism connected to the power split mechanism.

[0082] In one aspect of the notification device, The notification information includes: a third motor including a third motor shaft, a third rotor, and a third stator; The information may include information relating to the state of the second unit generated based on a second feature extracted from second measurement data in which a physical quantity caused by vibration of the second unit, including

[0083] According to this notification device, the user can objectively recognize the state of the second unit based on the information relating to the state of the second unit contained in the notification information.

[0084] In one aspect of the notification device, The notification information may include a threshold value for determining whether or not there is an abnormality in the first unit.

[0085] This notification device allows the user to easily determine whether or not there is an abnormality in the first unit.

[0086] In one aspect of the notification device, the notification information includes image information, The image information may include an object relating to a state of the first unit.

[0087] This notification device allows the user to objectively recognize the state of the first unit visually.

[0088] In one aspect of the notification device, The object may be a radar chart showing the states of a plurality of parts included in the first unit.

[0089] This notification device allows the user to easily visually recognize the states of the multiple parts included in the first unit.

[0090] In one aspect of the notification device, The notification information may include sound information.

[0091] This notification device allows the user to auditorily recognize the state of the first unit.

[0092] In one aspect of the notification device, The notification information may include information for vibrating a vibration unit.

[0093] This notification device allows the user to recognize the state of the first unit through their sense of touch.

[0094] One aspect of the notification method is: a first motor including a first motor shaft, a first rotor, and a first stator; The gearbox and The method includes a step of outputting notification information including information related to the state of the first unit, which is generated based on a first feature extracted from first measurement data in which a physical quantity caused by vibration of the first unit is measured.

[0095] According to this notification method, the user can objectively recognize the state of the first unit based on the information relating to the state of the first unit included in the notification information. [Explanation of symbols]

[0096] 1...notification device, 2...first unit, 3...first sensor, 4...second unit, 5...second sensor, 10...first motor, 11...first motor shaft, 12...first rotor, 13...first stator, 20...second motor, 21...second motor shaft, 22...second rotor, 23...second stator, 30...third motor, 31...third motor shaft, 32...third rotor, 33...third stator, 40...transmission, 41...internal combustion engine, 42...clutch, 43...planetary - gear, 50... battery, 61... first inverter, 62... second inverter, 63... third inverter, 70... transmission, 80... battery, 100... processing circuit, 101... measurement data acquisition circuit, 102... feature extraction circuit, 103... status information generation circuit, 104... notification information output circuit, 110... memory circuit, 111... notification processing program, 120... operation unit, 130... display unit, 140... sound output unit, 150... vibration unit, 160... communication unit, 201... encoder, 202... decoder

Claims

1. a first motor including a first motor shaft, a first rotor, and a first stator; The gearbox and and outputs notification information including information related to a state of the first unit, the notification information being generated based on a first feature extracted from first measurement data in which a physical quantity caused by vibration of the first unit is measured.

2. In claim 1, The notification device, wherein the first unit includes an internal combustion engine.

3. In claim 2, A notification device, wherein the first unit includes a second motor connected to the internal combustion engine and including a second motor shaft, a second rotor, and a second stator, and the first motor is supplied with power generated by the second motor.

4. In claim 3, The first unit an output shaft of the internal combustion engine; the first motor shaft; the second motor shaft; a power split mechanism connected to said notification device.

5. In claim 4, The notification information includes: a third motor including a third motor shaft, a third rotor, and a third stator; The notification device includes information relating to the state of the second unit, which is generated based on a second feature extracted from second measurement data in which a physical quantity caused by vibration of the second unit is measured.

6. In any one of claims 1 to 5, The notification device, wherein the notification information includes a threshold value for determining whether or not there is an abnormality in the first unit.

7. In any one of claims 1 to 5, the notification information includes image information, The image information includes an object related to the state of the first unit.

8. In claim 7, The object is a radar chart showing the states of a plurality of parts included in the first unit.

9. In any one of claims 1 to 5, The notification device, wherein the notification information includes sound information.

10. In any one of claims 1 to 5, The notification device, wherein the notification information includes information for vibrating a vibration unit.

11. a first motor including a first motor shaft, a first rotor, and a first stator; The gearbox and a step of outputting notification information including information relating to a state of the first unit, the notification information being generated based on a first feature extracted from first measurement data in which a physical quantity caused by vibration of the first unit is measured, the first feature being extracted from first measurement data in which a physical quantity caused by vibration of the first unit is measured, the step of

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