Automatic determining system of structural configuration attributes

Abstract

This case discloses an automatic structural configuration attribute determination system, comprising a triaxial vibration sensor and a processing device. The triaxial vibration sensor is mounted on a mechanical device to measure the triaxial acceleration data of the mechanical device. The processing device performs feature calculations based on the triaxial acceleration data to calculate complex triaxial feature parameters. The processing device determines whether the mechanical device is in a vertical or horizontal installation mode based on the triaxial feature parameters. In the vertical installation mode, the processing device determines that the three axes of the triaxial vibration sensor correspond to a first axial direction and two radial directions, respectively, based on the triaxial feature parameters. In the horizontal installation mode, the processing device determines the installation position of the triaxial vibration sensor and that the three axes of the triaxial vibration sensor correspond to a second axial direction, a vertical direction, and a horizontal direction, respectively, based on the triaxial feature parameters.

Description

Technical Field

[0001] This case relates to an automatic identification system for structural configuration attributes with axial identification and installation type classification functions. Prior Technology

[0002] When monitoring the condition of rotating machinery, triaxial vibration sensors must be correctly aligned with the horizontal, vertical, and axial planes of the machinery based on its actual installation location. Currently, existing technology requires users to manually set the axial alignment according to the specific installation context to accurately interpret vibration data.

[0003] In detail, existing technologies typically require engineers or maintenance personnel to first determine the installation direction of the mechanical equipment and the installation position of the vibration sensor; then, based on the determination, they manually input the three axes of the vibration sensor corresponding to the mechanical equipment direction in the backend software; if the vibration sensor is removed or moved, the correspondence must be reset according to the new installation position. However, the aforementioned method has the following drawbacks: it is highly dependent on human experience, with a high risk of setting errors; if the settings are not updated in time after the vibration sensor is moved or repaired, it is easy to cause errors in the interpretation of vibration data, thereby affecting the accuracy of equipment anomaly detection; and in large-scale deployment scenarios, it lacks automation and consistency, resulting in high maintenance costs. Summary of the Invention

[0004] This invention provides an automatic structural configuration attribute determination system, comprising a triaxial vibration sensor and a processing device. In the automatic determination system, the triaxial vibration sensor is mounted on a mechanical device and senses the operating state of the mechanical device to generate triaxial acceleration data. The processing device is signal-connected to the triaxial vibration sensor. The processing device performs feature calculations based on the triaxial acceleration data to calculate complex triaxial feature parameters. Based on the triaxial feature parameters, the processing device determines whether the mechanical device is in a vertical installation mode or a horizontal installation mode. In the vertical installation mode, the processing device determines, based on the triaxial feature parameters, that the three axes of the triaxial vibration sensor correspond to a first axial direction and two radial directions, respectively. In the horizontal installation mode, the processing device determines, based on the triaxial feature parameters, whether the triaxial vibration sensor is in an axial installation mode, a side-mounted mode, or a top-mounted mode. Furthermore, in the axial, side, or top-mounted modes, the processing device determines, based on the triaxial feature parameters, that the three axes of the triaxial vibration sensor correspond to a second axial direction, a vertical direction, or a horizontal direction, respectively.

[0005] In summary, this invention proposes an automatic structural configuration attribute determination system. Based on vibration signal calculation characteristics and directional distribution analysis, it automatically infers the triaxial correspondence of a triaxial vibration sensor under different installation methods, eliminating the need for manual setting or the use of additional attitude detection modules. This system is particularly suitable for scenarios where sensor positions frequently change in industrial vibration monitoring. Therefore, this invention can automatically infer the installation correspondence of the triaxial vibration sensor and structural configuration attributes such as equipment orientation based on measurement data, eliminating manual setting and improving system intelligence and deployment efficiency. Furthermore, after installing or changing the position of the triaxial vibration sensor, it can quickly and automatically set the triaxial correspondence of the triaxial vibration sensor to correctly analyze the vibration source and type, avoiding any impact on the accuracy of equipment anomaly detection. Simple Explanation of the Diagram

[0006] Figure 1 is a block diagram of an automatic discrimination system according to an embodiment of this case. Figure 2 is a structural schematic diagram of a mechanical device in a vertical installation mode according to an embodiment of this case. Figure 3 is a schematic diagram of the mechanical equipment in a horizontal installation mode according to an embodiment of this case. Figure 4 is a schematic diagram of the structure of a triaxial vibration sensor used in an automatic discrimination system according to an embodiment of this case. Figure 5 is a flowchart illustrating the automatic identification of structural configuration attributes by an automatic identification system according to an embodiment of this case. Figure 6 is a schematic diagram of the structure of the triaxial vibration sensor and the mechanical equipment in a vertical installation mode used in an automatic discrimination system according to an embodiment of this case. Figure 7 is a schematic diagram of the structure of a triaxial vibration sensor and mechanical equipment in a vertically mounted mode used in an automatic discrimination system according to another embodiment of the present invention. Figure 8 is a schematic diagram of the structure of the automatic discrimination system according to an embodiment of the present invention, showing the triaxial vibration sensor in side-mounted mode and the mechanical equipment in horizontal-mounted mode. Figure 9 is a schematic diagram of the structure of the automatic discrimination system according to an embodiment of the present invention, showing the triaxial vibration sensor in the top mounting mode and the mechanical equipment in the horizontal mounting mode. Figure 10 is a schematic diagram of the structure of the automatic discrimination system according to another embodiment of the present invention, in which the triaxial vibration sensor is installed in the top mounting mode and the mechanical equipment is installed in the horizontal mounting mode. Figure 11 is a schematic diagram of the structure of the automatic discrimination system according to an embodiment of the present invention, showing the triaxial vibration sensor in axial mounting mode and the mechanical equipment in horizontal mounting mode. Implementation

[0007] The embodiments of this case will be described below with reference to relevant figures. Furthermore, some components or structures are omitted in the figures of the embodiments to clearly show the technical features of this case. In these figures, the same reference numerals denote the same or similar components or circuits. It must be understood that although the terms "first," "second," etc., can be used herein to describe various components, parts, areas, or functions, these components, parts, areas, and / or functions should not be limited by these terms. These terms are only used to distinguish one component, part, area, or function from another.

[0008] Referring to Figure 1, an automatic structural configuration attribute determination system 10 includes a triaxial vibration sensor 12, a processing unit 14, and a storage unit 16. In the automatic determination system 10, the triaxial vibration sensor 12 is mounted on a mechanical device 18. This example uses one triaxial vibration sensor 12 mounted on one mechanical device 18, but the number of triaxial vibration sensors 12 is not limited to this. The mechanical device 18 is a rotating mechanical device, such as a motor or pump, but this invention is not limited to this. The triaxial vibration sensor 12 is positioned appropriately on the mechanical device 18, and its secure mounting ensures that it can acquire accurate operational information. During operation, the triaxial vibration sensor 12 senses the operating state (vibration state) of the mechanical device 18 to generate triaxial acceleration data. The processing device 14 is signal-connected to the triaxial vibration sensor 12. In one embodiment, the processing device 14 is connected to the triaxial vibration sensor 12 via a Serial Peripheral Interface (SPI) signal. The processing device 14 performs feature calculations based on the triaxial acceleration data to calculate a complex set of triaxial feature parameters. In one embodiment, the complex triaxial feature parameters include a triaxial root mean square (RMS), a triaxial peak value, a triaxial velocity root mean square (RMS), and a triaxial kurtosis. The processing device 14 determines whether the mechanical device 18 is in a vertical or horizontal installation mode based on the triaxial peak value among the triaxial feature parameters. When the mechanical device 18 is in a vertical installation mode, the processing device 14 determines, based on the triaxial RMS value among the triaxial feature parameters, that the three axes of the triaxial vibration sensor 12 correspond to a first axial direction A1 and two radial directions R1 and R2 of the mechanical device 18, respectively, as shown in Figure 2. When the mechanical equipment 18 is in the horizontal installation mode, the processing device 14 determines whether the triaxial vibration sensor 12 is in an axial installation mode, a side installation mode, or a top installation mode based on the triaxial characteristic parameters, namely the triaxial root mean square velocity, the triaxial root mean square velocity, and the triaxial kurtosis. Then, in the axial installation mode, the side installation mode, or the top installation mode, the processing device 14 determines whether the three axes of the triaxial vibration sensor 12 correspond to a second axis A2, a vertical direction V, or a horizontal direction H, respectively, based on the triaxial characteristic parameters, namely the triaxial peak value, the triaxial root mean square velocity, and the triaxial kurtosis, as shown in Figure 3. Storage unit 16 stores triaxial acceleration data. Triaxial vibration sensor 12 stores triaxial acceleration data in real time or in batches as plain text files in comma-separated value (CSV) format or other formats, so that processing device 14 can read the triaxial acceleration data. In this embodiment, storage unit 16 is built into triaxial vibration sensor 12, but this is not the case. In other embodiments, storage unit 16 may also be built into processing device 14 or set separately and electrically connected to processing device 14 and triaxial vibration sensor 12.Therefore, this invention can automatically analyze triaxial acceleration data to obtain the installation type of the mechanical equipment 18 and calibrate the relative installation method of the triaxial vibration sensor 12 on the mechanical equipment 18, avoiding the risk of data misinterpretation caused by manual judgment of the corresponding axis and incorrect settings.

[0009] In one embodiment, the processing device 14 calculates the root mean square (RMS) using acceleration data: the sum of the squares of the n received accelerations is divided by n, and then the square root is taken to obtain the RMS. The processing device 14 calculates the peak value using acceleration data: the n received acceleration data are compared with each other, and the maximum value is the peak value of the acceleration data. The processing device 14 calculates the root mean square (RMS) of velocity using acceleration data: the acceleration signal a is first converted into a velocity signal v using integration (sampling frequency is fs, time interval dt = 1 / fs), expressed as: v[1] = a[1] * dt, v[2] = v[1] + a[2] * dt, ... v[i] = v[i-1] + a[i] * dt, then the sum of the squares of the n velocities is divided by n, and then the square root is taken. At this time, the RMS of velocity can be expressed as The root mean square of the velocity is calculated using this equation. Processing device 14 calculates kurtosis using acceleration data: Kurtosis is calculated based on the "fourth-order dynamics". First, the average value μ is calculated: μ = (a[1] + a[2] + ... + a[n]) / n; then the standard deviation σ is calculated: Then apply the mean μ and standard deviation σ to the formula: In order to calculate the kurtosis.

[0010] In one embodiment, after the processing device 14 loads data and reads the triaxial acceleration data, the processing device 14 further determines whether the mechanical equipment 18 is on or off to determine if the mechanical equipment 18 is in the on state. Only when the mechanical equipment 18 is in the on state will the feature calculation and subsequent discrimination steps continue. In one embodiment, the triaxial vibration sensor 12 senses the operation of the mechanical equipment 18 and generates a first vibration sensing signal. The processing device 14 converts the first vibration sensing data from the time domain to the frequency domain to generate a second vibration sensing signal. The processing device 14 analyzes the second vibration sensing signal to obtain the amplitude value, and determines whether the mechanical equipment 18 is in the off state or the on state based on whether the amplitude value exceeds a threshold.

[0011] In one embodiment, after obtaining structural configuration attributes such as the installation type of the mechanical equipment 18 and the installation position type and corresponding triaxial directions of the triaxial vibration sensor 12, the processing device 14 can output these structural configuration attributes in the form of charts, tables, or summaries, and attach characteristic values ​​such as triaxial characteristic parameters (triaxial root mean square, triaxial peak value, triaxial root mean square velocity, and triaxial kurtosis) as supporting evidence for backend analysis. For example, the output structural configuration attributes can be further provided to the backend maintenance system (not shown in the figure) for early warning analysis.

[0012] In one embodiment, the processing device 14 is a central processing unit (CPU), or other general-purpose or special-purpose microprocessor, microcontroller, microcontroller unit (MCU), digital signal processor (DSP), programmable controller, application-specific integrated circuit (ASIC), or other similar elements or combinations thereof, but this invention is not limited thereto. In one embodiment, the processing device 14 is integrated into an electronic device (not shown), such as a personal computer, laptop, tablet computer, mobile phone, or personal digital assistant, but this invention is not limited thereto. In other embodiments, the processing device 14 may also be directly integrated into the triaxial vibration sensor 12, or integrated into a local gateway or cloud server.

[0013] In one embodiment, the storage unit 16 may be any type of fixed or removable random access memory (RAM), read-only memory (ROM), flash memory, hard disk drive (HDD), solid state drive (SSD), or similar element or combination of the above elements, but this invention is not limited thereto.

[0014] In one embodiment, the processing device 14 of this invention can manage multiple mechanical devices 18 simultaneously. Each mechanical device 18 is provided with a triaxial vibration sensor 12, and the processing device 14 is signal-connected to the triaxial vibration sensor 12 on each mechanical device 18 to obtain the triaxial acceleration data of the triaxial vibration sensor 12 on each mechanical device 18. Based on the triaxial acceleration data of each triaxial vibration sensor 12, feature calculation and logical analysis are performed to obtain the installation type of each mechanical device 18 and the installation position type and triaxial direction corresponding to each triaxial vibration sensor 12. Therefore, the automatic discrimination system 10 is used to automatically discriminate the structural configuration attributes of the plurality of mechanical devices 18 and their corresponding triaxial vibration sensors 12.

[0015] The processing device 14 uses built-in software (algorithm) to perform operations such as data reading, feature extraction calculation, and classification logic. Please refer to Figures 1, 2, 3, and 4 for a detailed explanation of how the automatic discrimination system 10 defines the components and parameters used in this application before automatically determining the structure configuration attributes. The three axes of the triaxial vibration sensor 12 include an X-axis, a Y-axis, and a Z-axis, and their directions are defined as shown in Figure 4. The three-axis root mean square (RMS) includes a first RMS, a second RMS, and a third RMS, which are calculated from the triaxial acceleration data to obtain the first RMS, second RMS, and third RMS corresponding to the X-axis, Y-axis, and Z-axis, respectively. Similarly, the three-axis peak values ​​include a first peak value, a second peak value, and a third peak value corresponding to the X-axis, Y-axis, and Z-axis, respectively. The three-axis velocity RMS includes a first velocity RMS, a second velocity RMS, and a third velocity RMS corresponding to the X-axis, Y-axis, and Z-axis, respectively. The three-axis kurtosis includes a first kurtosis, a second kurtosis, and a third kurtosis corresponding to the X-axis, Y-axis, and Z-axis, respectively.

[0016] In one embodiment, regarding the three-axis root mean square (root mean square, second root mean square, and third root mean square), the G value (gravity component) is retained here. Its purpose is to determine which axis is closest to the vertical direction (i.e., the direction of gravity) by which axis is closest to 1G. As shown in Figure 4, the bottom mounting surface of the triaxial vibration sensor 12 is defined as the Z-axis. If the value of the third root mean square is close to 1G, the Z-axis points downwards, indicating a vertical axis, thus determining that the triaxial vibration sensor 12 is in a vertical mounting mode. If the values ​​of the first or second root mean square are close to 1G, it indicates that the X-axis or Y-axis is a vertical axis, thus determining that the triaxial vibration sensor 12 is in a horizontal mounting mode.

[0017] Please refer to Figures 1, 2, 3, 4, and 5 simultaneously. In the operation flow of the automatic discrimination system 10 in discerning structural configuration attributes, as shown in step S10, the processing device 14 determines whether the difference between the second peak value of the Y-axis and the third peak value of the Z-axis is less than 10% and whether their signs are opposite. When the difference between the second peak value and the third peak value is less than 10% and their signs are opposite, as shown in step S12, the processing device 14 determines that the mechanical equipment 18 is in a vertical installation mode. As shown in step S14, if the aforementioned conditions are not met, that is, the difference between the second peak value and the third peak value is greater than or equal to 10%, or the signs are not opposite, the processing device 14 determines that the mechanical equipment 18 is in a horizontal installation mode. The horizontal installation mode can be further subdivided into axial installation mode, side installation mode, or top installation mode. For example, in step S16, when the mechanical equipment 18 is in the horizontal installation mode, the processing device 14 finds the maximum value among the first root mean square of velocity, the second root mean square of velocity, and the third root mean square of velocity, and sets the corresponding X-axis, Y-axis, or Z-axis as the vertical direction. That is, when the third root mean square of velocity is the maximum value, the vertical direction corresponds to the Z-axis. As shown in step S18, the triaxial vibration sensor 12 is in the top installation mode. When the root mean square of the first velocity or the root mean square of the second velocity is at its maximum value, the vertical direction corresponds to the X-axis or the Y-axis. As shown in step S20, the difference between the first root mean square and the second root mean square or the root mean square of the first velocity and the second root mean square is compared to see if it is less than a threshold value and the first kurtosis or the second kurtosis is less than 0. When the difference between the first root mean square and the second root mean square or the root mean square of the first velocity and the second root mean square is less than a threshold value and the first kurtosis or the second kurtosis is less than 0, as shown in step S22, the triaxial vibration sensor 12 is in axial mounting mode. If the aforementioned conditions are not met, as shown in step S24, the triaxial vibration sensor 12 is in side mounting mode.

[0018] When the mechanical device 18 is in a vertical mounting mode, the processing device 14 finds the maximum value among the first root mean square (RMS), second root mean square (RMS), and third root mean square (RMS), and sets the corresponding X-axis, Y-axis, or Z-axis as the first axial direction A1, while the other two axes are set as the two radial directions R1 and R2. When the mechanical device 18 is in a horizontal mounting mode and the triaxial vibration sensor 12 is in an axial mounting mode, the Z-axis corresponds to the vertical direction V. The processing device 14 finds the smaller X-axis or Y-axis among the first peak value and the second peak value as the second axial direction A2, and the other corresponds to the horizontal direction H. When the mechanical device 18 is in a horizontal mounting mode and the triaxial vibration sensor 12 is in an axial mounting mode, when the vertical direction V corresponds to the X-axis, the Z-axis system corresponds to the second axial direction A2, and the Y-axis system corresponds to the horizontal direction H; and when the vertical direction V corresponds to the Y-axis, the Z-axis system corresponds to the second axial direction A2, and the X-axis system corresponds to the horizontal direction H. When the mechanical equipment 18 is in a horizontal installation mode and the triaxial vibration sensor 12 is in a side installation mode, when the vertical direction V corresponds to the X-axis, the Y-axis system corresponds to the second axial direction A2, and the Z-axis system corresponds to the horizontal direction H; and when the vertical direction V corresponds to the Y-axis, the X-axis system corresponds to the second axial direction A2, and the Z-axis system corresponds to the horizontal direction H.

[0019] Please refer to Figures 1 and 6 simultaneously. The processing device 14 determines that the difference between the second peak value of the Y-axis and the third peak value of the Z-axis is less than 10% and the signs are opposite. Therefore, it determines that the mechanical equipment 18 is in the vertical installation mode. The processing device 14 finds the largest value among the first root mean square, the second root mean square and the third root mean square as the first root mean square, and sets the X-axis corresponding to the first root mean square as the first axial direction A1. The Y-axis and Z-axis of the other two axes correspond to the two radial directions R1 and R2.

[0020] Please refer to Figures 1 and 7 simultaneously. The processing device 14 determines that the difference between the second peak value of the Y-axis and the third peak value of the Z-axis is less than 10% and the signs are opposite. Therefore, it determines that the mechanical equipment 18 is in the vertical installation mode. The processing device 14 finds the largest value among the first root mean square, the second root mean square and the third root mean square as the second root mean square, and sets the Y-axis corresponding to the second root mean square as the first axial direction A1. The X-axis and Z-axis of the other two axes correspond to the two radial directions.

[0021] Please refer to Figures 1 and 8 simultaneously. The processing device 14 determines that the difference between the second peak value of the Y-axis and the third peak value of the Z-axis is not less than 10%, therefore determining that the mechanical equipment 18 is in a horizontal installation mode. The processing device 14 finds the largest value among the first, second, and third root mean square (RMS) speeds as the first RMS speed, and sets its corresponding X-axis as the vertical direction V. Then, it compares the differences between the first and second RMS speeds, or between the first and second RMS speeds, and finds that the difference is not less than a threshold value (e.g., a threshold value of 0.3). Therefore, it determines that the triaxial vibration sensor 12 is in a side-mounted mode. When the mechanical equipment 18 is in a horizontal installation mode and the triaxial vibration sensor 12 is in this mode, since the vertical direction V corresponds to the X-axis, the Y-axis corresponds to the second axis A2, and the Z-axis corresponds to the horizontal direction H.

[0022] Referring to Figures 1 and 9, the processing device 14 determines that the difference between the second peak value of the Y-axis and the third peak value of the Z-axis is not less than 10%, thus determining that the mechanical equipment 18 is in a horizontal installation mode. The processing device 14 finds the largest value among the first, second, and third root mean square values ​​of velocity as the third root mean square value, and sets its corresponding Z-axis as the vertical direction V. Since the Z-axis corresponds to the vertical direction V, it determines that the triaxial vibration sensor 12 is in an upward installation mode. When the mechanical equipment 18 is in a horizontal installation mode and the triaxial vibration sensor 12 is in an upward installation mode, the Z-axis corresponds to the vertical direction V. The processing device 14 finds the smaller of the first and second peak values ​​as the first peak value, and sets its corresponding X-axis as the second axis A2. The other Y-axis corresponds to the horizontal direction H.

[0023] Referring to Figures 1 and 10, the processing device 14 determines that the difference between the second peak value of the Y-axis and the third peak value of the Z-axis is not less than 10%, thus determining that the mechanical equipment 18 is in a horizontal installation mode. The processing device 14 finds the largest value among the first, second, and third root mean square values ​​of velocity as the third root mean square value, and sets its corresponding Z-axis as the vertical direction V. Since the Z-axis corresponds to the vertical direction V, it determines that the triaxial vibration sensor 12 is in an upward installation mode. When the mechanical equipment 18 is in a horizontal installation mode and the triaxial vibration sensor 12 is in an upward installation mode, the Z-axis corresponds to the vertical direction V. The processing device 14 finds the smaller of the first and second peak values ​​as the second peak value, and sets its corresponding Y-axis as the second axis A2. The other X-axis corresponds to the horizontal direction H.

[0024] Referring to Figures 1 and 11, the processing device 14 determines that the difference between the second peak value of the Y-axis and the third peak value of the Z-axis is not less than 10%, thus determining that the mechanical equipment 18 is in a horizontal installation mode. The processing device 14 identifies the largest value among the first, second, and third root mean square (RMS) speeds as the second RMS speed, and sets its corresponding Y-axis as the vertical direction V. Then, it compares the differences between the first and second RMS speeds, or the first and second RMS speeds. If the difference is less than a threshold value (e.g., 0.4) and the first or second kurtosis is less than 0, then the triaxial vibration sensor 12 is determined to be in an axial installation mode. When the mechanical equipment 18 is in a horizontal installation mode and the triaxial vibration sensor 12 is in an axial installation mode, since the vertical direction V corresponds to the Y-axis, the Z-axis corresponds to the second axial direction A2, and the X-axis corresponds to the horizontal direction H.

[0025] In one embodiment, the aforementioned threshold value (e.g., 0.3 or 0.4) is obtained based on statistical analysis and experimental verification of triaxial vibration sensing data under multiple different installation modes. Through actual measurements on multiple rotating machinery devices and feature value extraction (including triaxial root mean square, velocity root mean square, and kurtosis, etc.) of the triaxial acceleration data, the numerical distribution under different installation modes is statistically analyzed, and an appropriate dividing point is empirically determined as a classification condition for determining axial installation mode, side installation mode, or top installation mode. This threshold value is not fixed and can be adjusted according to different equipment characteristics or sensing environment; this invention is not limited to this.

[0026] In summary, this invention proposes an automatic structural configuration attribute determination system. Based on vibration signal calculation characteristics and directional distribution analysis, it automatically infers the triaxial correspondence of a triaxial vibration sensor under different installation methods, eliminating the need for manual setting or the use of additional attitude detection modules. This system is particularly suitable for scenarios where sensor positions frequently change in industrial vibration monitoring. Therefore, this invention can automatically infer the installation correspondence of the triaxial vibration sensor and structural configuration attributes such as equipment orientation based on measurement data, eliminating manual setting and improving system intelligence and deployment efficiency. Furthermore, after installing or changing the position of the triaxial vibration sensor, it can quickly and automatically set the triaxial correspondence of the triaxial vibration sensor to correctly analyze the vibration source and type, avoiding any impact on the accuracy of equipment anomaly detection.

[0027] The embodiments described above are merely for illustrating the technical ideas and features of this case. Their purpose is to enable those skilled in the art to understand the content of this case and implement it accordingly. They should not be used to limit the scope of the patent in this case. That is, any equivalent changes or modifications made in accordance with the spirit disclosed in this case should still be covered within the scope of the patent application in this case.

[0028] 10: Automatic discrimination system 12: Triaxial vibration sensor 14: Processing device 16: Storage Unit 18: Mechanical Equipment A1: First Axial Direction A2: Second Axial Direction R1, R2: Radial H: Horizontal direction V: Vertical direction S10~S24: Steps

Claims

1. An automatic structural configuration attribute determination system, comprising: a triaxial vibration sensor mounted on a mechanical device, the triaxial vibration sensor sensing a working state of the mechanical device during operation to generate triaxial acceleration data; and a processing device signal-connected to the triaxial vibration sensor, the processing device performing feature calculations based on the triaxial acceleration data to calculate a plurality of triaxial feature parameters, the processing device determining whether the mechanical device is in a vertical installation mode or a horizontal installation mode based on the triaxial feature parameters; in the vertical installation mode, the processing device determining that the three axes of the triaxial vibration sensor correspond to a first axial direction and two radial directions respectively; and in the horizontal installation mode, the processing device determining that the triaxial vibration sensor is in an axial installation mode, a side-mounted mode, or a top-mounted mode based on the triaxial feature parameters, and further determining that the three axes of the triaxial vibration sensor correspond to a second axial direction, a vertical direction, and a horizontal direction respectively based on the triaxial feature parameters in the axial installation mode, the side-mounted mode, or the top-mounted mode; The complex triaxial characteristic parameters include a triaxial root mean square (RMS), a triaxial peak value, a triaxial root mean square (RMS), and a triaxial kurtosis. The processing device determines whether the mechanical equipment is in a vertical installation mode or a horizontal installation mode based on the triaxial peak value. In the vertical installation mode, the processing device determines that the three axes of the triaxial vibration sensor correspond to the first axial direction and the two radial directions, respectively, based on the triaxial RMS. In the horizontal installation mode, the processing device determines whether the triaxial vibration sensor is in an axial installation mode, a side installation mode, or a top installation mode based on the triaxial RMS, the triaxial RMS, and the triaxial kurtosis. In the axial installation mode, the side installation mode, or the top installation mode, the processing device determines that the three axes of the triaxial vibration sensor correspond to the second axial direction, the vertical direction, and the horizontal direction, respectively, based on the triaxial peak value, the triaxial RMS, and the triaxial kurtosis.

2. An automatic system for determining structural configuration attributes as described in claim 1, wherein the mechanical device is a rotating mechanical device.

3. The automatic determination system for structural configuration attributes as described in claim 1, wherein the three axes of the triaxial vibration sensor include an X-axis, a Y-axis, and a Z-axis; the three-axis root mean square (RMS) includes a first RMS, a second RMS, and a third RMS corresponding to the X-axis, the Y-axis, and the Z-axis, respectively; the three-axis peak values ​​include a first peak value, a second peak value, and a third peak value corresponding to the X-axis, the Y-axis, and the Z-axis, respectively; the three-axis velocity RMS includes a first velocity RMS, a second velocity RMS, and a third velocity RMS corresponding to the X-axis, the Y-axis, and the Z-axis, respectively; and the three-axis kurtosis includes a first kurtosis, a second kurtosis, and a third kurtosis corresponding to the X-axis, the Y-axis, and the Z-axis, respectively.

4. The automatic determination system for structural configuration attributes as described in claim 3, wherein if the difference between the second peak value and the third peak value is less than 10% and their signs are opposite, the processing device determines that the mechanical equipment is in the vertical installation mode; if the aforementioned conditions are not met, the processing device determines that the mechanical equipment is in the horizontal installation mode.

5. The automatic determination system for structural configuration attributes as described in claim 3, wherein when the mechanical equipment is in the vertical installation mode, the processing device finds the maximum value among the first root mean square, the second root mean square and the third root mean square, and sets the corresponding X-axis, the Y-axis or the Z-axis as the first axial direction, and sets the other two axes as the two radial directions.

6. The automatic determination system for structural configuration attributes as described in claim 3, wherein when the mechanical equipment is in the horizontal installation mode, the processing device finds the maximum value among the first root mean square of velocity, the second root mean square of velocity, and the third root mean square of velocity, and sets the corresponding X-axis, Y-axis, or Z-axis as the vertical direction; when the vertical direction corresponds to the Z-axis, the triaxial vibration sensor is in the top installation mode; when the vertical direction corresponds to the X-axis or Y-axis, if the difference between the first root mean square and the second root mean square or the first root mean square of velocity and the second root mean square of velocity is less than a threshold value and the first kurtosis or the second kurtosis is less than 0, the triaxial vibration sensor is in the axial installation mode; if the aforementioned conditions are not met, the triaxial vibration sensor is in the side installation mode.

7. An automatic identification system for structural configuration attributes as described in claim 6, wherein, in the top-mounted mode of the triaxial vibration sensor, the processing device identifies the smaller of the first peak value and the second peak value as the second axis, and the other corresponds to the horizontal direction.

8. An automatic determination system for structural configuration attributes as described in claim 6, wherein when the triaxial vibration sensor is in the axial mounting mode, when the vertical direction corresponds to the X-axis, the Z-axis system corresponds to the second axial direction and the Y-axis system corresponds to the horizontal direction; and when the vertical direction corresponds to the Y-axis, the Z-axis system corresponds to the second axial direction and the X-axis system corresponds to the horizontal direction.

9. An automatic determination system for structural configuration attributes as described in claim 6, wherein when the triaxial vibration sensor is in the side-mounted mode, when the vertical direction corresponds to the X-axis, the Y-axis system corresponds to the second axial direction, and the Z-axis system corresponds to the horizontal direction; and when the vertical direction corresponds to the Y-axis, the X-axis system corresponds to the second axial direction, and the Z-axis system corresponds to the horizontal direction.

10. The automatic determination system for structural configuration attributes as described in claim 1 further includes a storage unit for storing the triaxial acceleration data for the processing device to read the triaxial acceleration data.

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