TW202229828A - Intelligent vibration and temperature sensing device especially providing internet of things and artificial intelligence analysis in advance for a vibrating machine - Google Patents

Abstract

The present invention provides an intelligent vibration and temperature sensing device, especially referred to a device that utilizes edge computing to generate a variety of precise features, which can be used for pre-diagnosing and analyzing vibration faults of rotating or moving machinery and for temperature sensing. The principle is to fix a vibration and temperature sensor including a vibration sensor and a temperature sensor on the object to be tested and connect it with a synchronizing signal tachometer and a computer host. Each starting point is taken as the reference and the vibration spectrum of one rotation is measured. Thereafter, the time domain sampling analysis program, angle sampling analysis program and frequency domain analysis program of the synchronous signal tachometer are used to superimpose a variety of precise features generated by N sample data of one rotation or the vibration spectrum of movement strokes. The operation of the digital signal processor and support vector machine attached to the central processing unit are performed to pre-diagnose components that may fail and their angle point, provide the user with accurate predictions of possible problems of the main shaft, gear or screw of the vibrating machine in advance, and then remove or replace the components as soon as possible.

Description

Smart Vibration/Temperature Sensing Device

The present invention relates to an intelligent vibration/temperature sensing device, especially a vibration fault pre-diagnosis device specially used for Internet of Things and artificial intelligence analysis. In addition to temperature sensing, it is characterized by using edge computing to generate a variety of precise characteristic values to detect Measure and display fault analysis values of rotating or moving machinery.

As we all know, many machine tools (CNC), transmission mechanisms, factory production line motors and wind turbine bearings and other mechanical equipment, after working for a period of time, their working components will be damaged when tools wear, bearings, gears or screws are damaged. Different degrees of vibration or impact have a direct and important impact on the maintenance of the machinery itself or the quality of processed products, and even cause safety hazards to surrounding operators. Therefore, timely and effectively monitor the amplitude and frequency of key components of machinery and equipment. It is an effective method to effectively reduce maintenance costs, improve the yield of processed products and improve work safety.

Most of the sources of vibration of the above-mentioned mechanical equipment are from the wear of rotating the main shaft, changing tools, gears or screws, etc. Therefore, the vibration detection of the main shaft or related components is of special significance. Tank oil temperature monitoring is to use a contact vibration sensor with a vibration detection element in it, and use a temperature sensor with a temperature sensor in it, and fix the vibration sensor and the temperature sensor in the vibration sensor. On the source or temperature monitoring component, the vibration wave and temperature of the detected object are received through contact, and the data is transmitted to the central processing unit of the computer host for logical operation to collect parameters, and then the analysis information of the vibration change and temperature is obtained. To provide action reference for maintenance, vibration or high temperature elimination.

Furthermore, the above vibration and temperature detection sensors are installed separately, and their detection points are almost the same, the way of setting them separately will inevitably increase the cost and the complexity of the sensor connection line, which will be difficult for the messenger. cause inconvenience in use.

In addition to temperature monitoring, vibration monitoring sensors traditionally used in machinery or equipment attach or fix a detection element that can absorb vibration waves or amplitudes to the vibration source, and analog or digital the vibration it receives. The signal is sent to the computer host, and then the execution software and the central processing unit in the computer will filter out the noise and collect the signal, and then output it to various monitors, so it cannot display the important change information of the measured object in real time.

In view of the fact that traditional vibration and temperature sensors are not suitable for the lack of application of the Internet of Things and artificial intelligence, the creators have developed related technical thinking, and after painstaking research and development, the "smart vibration/temperature sensing device" of the present invention was finally completed, which obviously effectively overcomes the traditional Problem with vibration/temperature sensor monitor.

The intelligent vibration/temperature sensing device of the present invention mainly includes a vibration/temperature sensor (Vibration/Temperature Sensor) and a synchronizing signal tachometer (Tacho for short).

Among them, the vibration/temperature sensor includes a casing and a main control circuit board fixed in the casing and sealed with redox resin, the main control circuit board is connected to the computer host (or notebook computer) through a connecting wire and an extension wire type computer) and the above-mentioned synchronizing signal tachometer.

In the intelligent vibration/temperature sensing device of the present invention, a vibration sensing element (Vibration Sensor), a temperature sensing element (Temperature Sensor) and a central processing unit (CPU) are arranged on the main control circuit board of the vibration/temperature sensor. A number of edge computing (Edge Computing) execution programs are attached to the central processing unit, including feature value (Features) program, spectrum analysis (FFT) program, raw data (Raw Data) program, transformation operation (Transformation Computing) program, serial Serial Communications Interface, Digital Signal Processing (DSP), Time Domain Sampling Analysis, Angle Sampling Analysis, Frequency Domain Analysis ) and Support Vector Machine (SVM).

The synchronizing signal tachometer includes an optical transmitter/receiver using the principle of laser, analog or coding, and a reflective sheet attached to the motor rotating spindle, rotating gear or moving slide rail. The synchronizing signal tachometer passes through The connecting wire is connected to the above-mentioned vibration/temperature sensor.

It fixes the vibration/temperature sensor containing the vibration sensing element on the main body of the object to be tested, and attaches the reflector to a selected point of the main shaft, gear or slide rail of the object to be tested, and passes through the synchronization signal tachometer. The optical transmitter/receiver transmits and receives a beam as the starting point of each marking, and collects the vibration data of the object to be measured between the two starting points.

The vibration wave data collected above are superimposed by the digital signal processor and several arithmetic analysis programs to superimpose the N unit signals per revolution of the rotating shaft, which can eliminate noise and highlight accurate mechanical characteristic signals and peak waves generated by mechanical failures. It is converted into a fixed angle sampling from a fixed timing sampling frequency, so the problem points can be detected by the peak wave, so that users can accurately predict the possible problems or failure points of the vibrating machine in advance, and then take measures to eliminate or replace related components. .

The temperature sensor of this device detects the motor temperature and the oil temperature of the wind turbine gear box, and its accuracy can reach 0.1 degrees C, which is far higher than the general market about 0.5 degrees C, which greatly improves the accuracy of artificial intelligence for rotating machinery fault detection. , and use the temperature data measured by the temperature sensing element of the vibration/temperature sensor, after executing the program operation through the edge computing (Edge Computing), the temperature change and temperature rise data of the object to be measured are displayed in real time.

Referring to FIG. 1 , the intelligent vibration and temperature sensing device of the present invention mainly includes a vibration/temperature sensor (1) and a synchronizing signal tachometer (2) in its structure.

Wherein the vibration/temperature sensor (1) comprises a casing (11) and a main control circuit board (12) fixed in the casing, the main control circuit board (12) is connected to the A main branch line (141) of an extension line (14) is connected to the computer host and a secondary branch line (142) is connected to the synchronizing signal tachometer (2).

The intelligent vibration/temperature sensing device of the present invention has a vibration sensing element (121), a temperature sensing element (122) and a central processing unit (CPU) on the main control circuit board (12) of the vibration/temperature sensor (1). 123), a plurality of edge computing (Edge Computing) execution programs are attached in the central processing unit (123), which includes a eigenvalue (Features) program, a spectrum analysis (FFT) program, a raw data (Raw Data) program, edge computing ( Edge Computing) program, Serial Communications Interface (Serial Communications Interface), Digital Signal Processing (DSP), Order Tracking analysis program (Order Tracking), library program (CMSIS-DSP), time domain Time Domain Sampling Analysis, Angle Sampling Analysis, Frequency Domain Analysis and Support Vector Machine (SVM).

Referring to FIG. 2, the synchronizing signal tachometer (2) includes an optical transmitter/receiver (21) and a reflector (22) attached to the motor rotating spindle, rotating gear or moving slide rail. The synchronizing signal tachometer (2) is connected to the main control circuit board (12) of the vibration/temperature sensor (1) via a sub-branch line (142) of the above-mentioned extension line (14).

Referring to Figure 1, the application principle of the synchronizing signal tachometer is to fix the vibration/temperature sensor (1) containing the vibration sensing element (121) on the main body (3) of the object to be measured, such as a motor and a gear box, and Attach the reflector (22) to a selected point such as the main shaft, gear or slide rail waiting to be measured (31), and use the selected point of the reflector as the starting point of each time, that is, the synchronizing signal tachometer ( 2) The transmitter of the optical transmitter/receiver (21) emits a light beam and projects it onto the main shaft, gear or slide rail of the object to be tested (31) attached with the reflective sheet.

On the other hand, when the object to be tested (31) rotates or moves to this point or the reflector, the beam is reflected, and the pulse wave is generated by the receiver of the optical transmitter/receiver of the synchronous signal tachometer (2). Signal, and marks the beginning of a circle or a journey of the object to be tested (31), which takes this time point as the starting point and from this point the vibration sensing element (121) of the vibration/temperature sensor (1) begins to receive vibration Until the next reflected light reappears, the vibration wave data received and collected during this period represent the vibration of the special object (31) main shaft, one rotation of the gear, or one stroke of the slide rail.

二.   標準差(Standard Deviation,簡稱 std)  計算公式如下:

三.   均方根值 (Root Mean Square, 簡稱 RMS)  計算公式如下:

四.   偏度 (Skewness)   計算公式如下:

五.   峰度 (Kurtosis)   計算公式如下:

六.  峰值 (Peak)   計算公式如下:

七.   波峰因素 (Crest Factor)  計算公式如下:

八.   峰對峰值  (Peak to Peak)  計算公式如下: Peak2Peak=Max(x(t))-Min(x(t))九.   型態因子(Form Factor)  計算公式如下:

十.   最小值 (Minimum) Min=Min(X(t)) When the present invention is applied to monitor the object to be tested (31) of the rotating axis, the characteristic values of each axis are as follows: 1. The mean value (Mean) is calculated as follows:

2. The standard deviation (Standard Deviation, referred to as std) is calculated as follows:

3. The calculation formula of Root Mean Square (RMS) is as follows:

4. The calculation formula of Skewness is as follows:

5. The calculation formula of kurtosis is as follows:

6. The formula for calculating the peak value is as follows:

7. The formula for calculating the Crest Factor is as follows:

8. The calculation formula of Peak to Peak is as follows: Peak2Peak=Max(x(t))-Min(x(t)) 9. The calculation formula of Form Factor is as follows:

10. Minimum Min=Min(X(t))

When a rotating object rotates, the vibration sensor (121) will receive and generate a certain amplitude signal, and when the rotation speed changes, the generated signal will also change, and the traditional algorithm cannot accurately inform the fault. The temperature sensing device is designed to use the order tracking method (Order Tracking) to track the relationship between the rotational speed (RPM) and frequency. The order tracking method is used to analyze the execution of the program to find faulty components such as shafts and gears. , Peiling, pump,,, etc.; for example, if there are 6 blades in a wind fan, its speed frequency is 6 times that of the rotating shaft (6 steps), and it is also like a gear, if there is a 30:1 gear ratio, its speed The frequency is 30 times the reels (30th order).

If there is a rotating shaft with a speed of 600RPM, divide it by 60 to get 10Hz, and if the speed changes to 3300RPM, the frequency becomes 55Hz, and if the speed is adjusted to 6000RPM, the frequency becomes 100Hz, as shown in Figure 5 & 6: If the steady increase from 600RPM to 6000RPM, the 3D is shown in Figure 6: And converted into rotational speed - frequency amplitude, as shown in Figures 7 & 8.

Another example is that the original rotating shaft drives another rotating shaft through a 3:1 gear, and the speed is increased by 3 times, and the ^3rd order frequency speed diagram can be drawn as shown in the ^3rd trend line diagram in Figure 8. If the speed is continuously changed, the speed frequency can be generated. The waterfall diagram is shown in Figure 9. It can be seen from the figure that the frequency spectrum is inclined to the right as the rotation speed increases.

N: 代表N 筆資料；Θ代表某一固定角度取樣，如一圈360度，每度取一筆資料，一圈就有360筆資料，使用此每圈信號疊加，藉此隨機雜訊已消除，用於計算求出前述之三軸30種特徵值，更能精準預診被監測旋轉機器之振動故障、故障點及其故障程度(Severity)，其如圖10所示。 二. 本發明智慧型振動/溫度感應裝置之振動/溫度感應裝置的振動感應器經由連接線接受計速器輸入之信號，訂為一圈的起始點角度。 三. 殘餘信號(Residual Signal, RES)： 將旋轉取樣所得信號減去 前述之TSA信號即為殘餘信號 (Residual Signal, RES)； X _res，這信號已是去掉許多 齒輪的固定信號 如(Gear Mesh)  ，由此信號可求得許多齒輪磨損相關之特徵值。 四. 本感應器產生齒輪相關之 特徵值有: NA4,NA4*

N是在一圈的取樣點數，

是殘餘信號的平均值，M是用M圈時的資料，A4是統計的4階，用於偵測齒輪漸進的損壞，值越大表示齒輪磨損越嚴重； NA4*是NA4的進階版，主要差異在分母用一健康的情況下，求得的殘餘信號(Residual Signal, RES)的變異數值(Variance)，值越大表示齒輪磨損越嚴重； 其公式如下:

是一健康的齒輪的殘餘信號 (Residual Signal, RES) 的變異數值 (Variance)。 The synchronizing signal tachometer (2) of the present invention, which can calculate the time of each rotation, can generate the following special rotation signals under the fixed rotational speed situation: 1. The time synchronization average signal (Time Synchronous Averaging, TSA) formula is as follows:

N: represents N pieces of data; Θ represents sampling at a fixed angle, such as a circle of 360 degrees, one piece of data is taken for each degree, and there are 360 pieces of data in one circle. By calculating and obtaining the above-mentioned 30 kinds of characteristic values of the three axes, it can more accurately predict the vibration fault, fault point and fault degree (Severity) of the rotating machine being monitored, as shown in Figure 10. 2. The vibration sensor of the vibration/temperature sensing device of the intelligent vibration/temperature sensing device of the present invention receives the signal input from the tachometer via the connecting line, and sets it as the starting point angle of a circle. 3. Residual Signal (RES): The signal obtained by rotating the sampling minus the aforementioned TSA signal is the residual signal (Residual Signal, RES); X _res , this signal is a fixed signal after removing many gears such as (Gear Mesh ) , many eigenvalues related to gear wear can be obtained from this signal. 4. The gear-related eigenvalues generated by this sensor are: NA4, NA4*

N is the number of sampling points in a circle,

is the average value of the residual signal, M is the data when using M circles, A4 is the 4th order of statistics, used to detect the progressive damage of the gear, the larger the value, the more serious the gear wear; NA4* is the advanced version of NA4, The main difference is the variation value (Variance) of the residual signal (Residual Signal, RES) obtained when the denominator is healthy. The larger the value is, the more serious the gear wear is; the formula is as follows:

is the Variance of the residual signal (RES) of a healthy gear.

Frequency Spectrum Analysis, the common components in the transmission system are Peeling and gears. Once such components fail, the frequencies shown in Figure 11 will be generated.

The Pei Ling fault equation is shown in Figures 12 & 13.

The gear spectrum distribution is shown in Figure 14 & 15 as an example, in which the gear mesh frequency is calculated by the formula: GMF=N*F , and there will also be side wave spectra on both sides as shown in Figure 14 & 15. For example, a 40-tooth gear The device rotates at 3600RPM and the GMF frequency is 40*3600/60=2400Hz.

For the above-mentioned spectrum analysis, the device of the present invention uses a digital signal processing unit (Digital Signal Processor, DSP) of an ARM microprocessor to perform a fast frequency transformation (Fast Fourier Transform), which can output the frequency and intensity of 100 groups of the strongest energy in the vibration spectrum for use in the vibration spectrum. Artificial intelligence for fault diagnosis.

In the temperature part of the intelligent vibration/temperature sensing device of the present invention, a temperature sensing element (122) is added to the vibration/temperature sensor (1). Please refer to Fig. 16 & 17 and Fig. 16 when using artificial intelligence to determine the fault condition There is no reference temperature, and the data classification is poor. Figure 17 has reference temperature, and the data classification is relatively open. The vibration/temperature sensor (1) is attached to the main body (3) of the object to be measured, such as a motor and a gear box. In order to measure and display the measured temperature state, and use the temperature data measured by the temperature sensing element (122) of the vibration/temperature sensor (1), after performing the program operation through the edge computing (Edge Computing), the to-be-measured The temperature change and temperature rise data of the object are displayed in real time.

The intelligent vibration/temperature sensing device of the present invention implements a support vector machine in the vibration/temperature sensor (1). The support vector machine is an artificial intelligence mechanism that uses vibration characteristic values for machine fault classification (Classifier) diagnosis. The multiple sets of eigenvalues generated by the device are sent to the Support Vector Machine (SVM) artificial intelligence fault diagnosis (Python) program for training. The SVM parameters obtained are sent to the circuit board above the vibration/temperature sensor ARM. shown in Figure 18.

After that, using the CMSIS-DSP library program shown in Figure 19 to embed the program, the machine learning function of the intelligent vibration/temperature sensing device can be realized, as shown in Figure 19.

The characteristic of the intelligent vibration/temperature sensing device of the present invention is that the synchronizing signal tachometer (2) is used as the starting mark, and the amplitude data of each cycle or each trip measured by the vibration sensing element is used by the digital signal processor. The data is digitized and N unit signals are superimposed, which can achieve the function of eliminating noise and highlighting the peak wave. It is converted from a fixed timing sampling frequency to a fixed angle sampling, because all rotating and mobile equipment failures occur at a certain angle. or location, so the problem point can be seen by the peak wave.

Continuing from the above, the superimposed data is processed by the edge computing program through the support vector machine and several operation analysis programs. To the computer host, the selected data to be displayed is displayed on the display, and a variety of precise characteristic values are generated, so as to provide the user with an accurate prediction of the possible problems or failure points of the vibration machine in advance, and then take measures to eliminate or replace the components.

(1): Vibration/Temperature Sensor (11): Shell (12): Main control circuit board (121): Vibration sensing element (122): temperature sensing element (123): CPU (13): connecting line (14): Extension line (141): Main branch (142): Sub-branch (2): Synchronized signal tachometer (21): Optical Transmitter/Receiver (22): Reflector (3): The main body of the object to be tested (31): Object to be tested

FIG. 1 is a front and perspective view of the vibration/temperature sensor of the device of the present invention. FIG. 2 is a schematic diagram of the operation of the synchronizing signal tachometer of the device of the present invention. FIG. 3 is a schematic diagram of the operation of the synchronizing signal tachometer of the device of the present invention and the object to be tested. FIG. 4 is a block diagram of the main operation of the intelligent vibration and temperature sensing device of the device of the present invention. FIG. 5 is a schematic diagram of an example of the rotating speed of the rotating shaft of the device of the present invention at a frequency of 600 RPM. FIG. 6 is a diagram showing an example of the frequency change of the rotating speed of the rotating shaft of the device of the present invention at 6000 RPM. FIG. 6 is a schematic diagram of an example of the frequency amplitude of the stable rotational speed of the rotating shaft of the device of the present invention. 8 is another example of the frequency amplitude of the stable rotational speed of the rotating shaft of the device of the present invention. Fig. 9 is a waterfall diagram of the rotational speed generated by the continuous changing rotational speed of the rotating shaft of the device of the present invention. FIG. 10 is a schematic diagram of an example of random noise elimination by superimposing multiple rotating data on the rotating shaft of the device of the present invention. Figure 11. Common components of a conventional transmission system are examples of Peeling and gear failure frequencies. Figures 12 & 13 An example of a traditional Peiring fault equation. Figures 14 & 15 An example of the spectral distribution of conventional gears. FIG. 16 is a diagram showing an example of the distribution points of the non-referenced temperature in the sensed temperature part of the device of the present invention. FIG. 17 is a diagram showing an example of the distribution points of the reference temperature in the sensing temperature part of the device of the present invention. FIG. 18 is a diagram illustrating an example of sending multiple sets of eigenvalues generated by the vibration sensor of the present invention into the parameters of the support vector machine. FIG. 19 is a diagram showing an example of parameters sent by the SVM learning function of the device of the present invention.

(1): Vibration/Temperature Sensor

(21): Optical Transmitter/Receiver

(22): Reflector

(3): The main body of the object to be tested

(31): Object to be tested

Claims (7)

An intelligent vibration and temperature sensing device, the structure of which mainly comprises a vibration/temperature sensor (1) and a synchronizing signal tachometer (2); Wherein the vibration/temperature sensor (1) comprises a casing (11) and a main control circuit board (12) fixed in the casing, the main control circuit board (12) is connected to the A main branch line (141) of an extension line (14) is connected to the computer host and a secondary branch line (142) is connected to the synchronizing signal tachometer (2); In the above-mentioned vibration/temperature sensor (1), a vibration sensing element (121), a temperature sensing element (122) and a central processing unit (123) are provided on the main control circuit board (12) thereof, and the central processing unit (123) ) is attached with a number of edge computing (Edge Computing) execution programs, including eigenvalue (Features) program, spectrum analysis (FFT) program, raw data (Raw Data) program, edge computing (Edge Computing) program, serial communication interface (Serial Communications Interface), Digital Signal Processing (DSP), Order Tracking, Library Program (CMSIS-DSP), Time Domain Sampling Analysis , Angle Sampling Analysis, Frequency Domain Analysis and Support Vector Machine (SVM); The synchronizing signal tachometer (2) comprises an optical transmitter/receiver (21) and a reflector (22) attached to the motor rotating spindle, rotating gear or moving slide rail, and the synchronizing signal tachometer ( 2) The main control circuit board (12) of the vibration/temperature sensor (1) is connected to the main control circuit board (12) of the vibration/temperature sensor (1) through a sub-branch line (142) of the above-mentioned extension line (14). The vibration/temperature sensor (1) of (121) is fixed on the main body (3) of the object to be measured, such as a motor and a gear box, and the reflector (22) is attached to the main shaft, gear or slide rail to wait for the object to be measured (31). ), use the selected point of the reflector as the starting point of each time, that is, the transmitter of the optical transmitter/receiver (21) of the synchronizing signal tachometer (2) emits a light beam and projects it to the On the main shaft, gear or slide rail of the object to be tested (31) of the reflector; When the object to be tested (31) rotates or moves to the point or the reflector, the light beam is reflected, and the receiver of the optical transmitter/receiver of the synchronous signal tachometer (2) generates a pulse wave signal, and Mark the beginning of a circle or a trip of the object to be tested (31), which takes this time point as the starting point and starts to receive vibration waves by the vibration sensing element (121) of the vibration/temperature sensor (1) from this point until the The next time the reflected light reappears, and the vibration data collected during this period represent the vibration of the special object (31) when the main shaft, the gear rotates once, or the slide rail moves one stroke; When the present invention is applied to monitor the object to be tested (31) of the rotating shaft, it can measure the mean value (Mean), the standard deviation (Standard Deviation), the root mean square value (Root Mean Square) and the skewness of the characteristic values of each axis. Skewness, Kurtosis, Peak, Crest Factor, Peak to Peak, Form Factor and Minimum, so when a rotating object When rotating, the vibration sensor (121) will receive and generate a signal of a certain amplitude, and when the rotation speed changes, the generated signal will also change, and the traditional algorithm cannot accurately inform the fault; The characteristic of the intelligent vibration/temperature sensing device of the present invention is that the synchronizing signal tachometer (2) is used as the starting mark, and the amplitude data of each cycle or each trip measured by the vibration sensing element is used by the digital signal processor. The data is digitized and N unit signals are superimposed, which can achieve the function of eliminating noise and highlighting the peak wave. It is converted from a fixed timing sampling frequency to a fixed angle sampling, because all rotating and mobile equipment failures occur at a certain angle. or location, so the problem point can be detected by the peak wave; The superimposed data is processed by the edge operation program through the support vector machine and several operation analysis programs. The processed data selects one of the eigenvalue data, the spectrum analysis data or the original data through the serial communication interface, and outputs it to the computer host The above-mentioned data selected to be displayed is displayed on the display, and then various precise characteristic values are generated, so as to provide the user with an accurate prediction of the possible problems or failure points of the vibrating machine in advance, and then take measures to eliminate or replace the components. The intelligent vibration/temperature sensing device according to claim 1 of the scope of the application, wherein an additional order tracking analysis program (Order Tracking) in the central processing unit (123) on the main control circuit board (12) is used for tracking The relationship between rotational speed (RPM) and frequency is analyzed by the order tracking method to find out the location of faulty components such as shafts, gears, bearings, pumps, , , etc. According to the intelligent vibration/temperature sensing device according to claim 1 of the scope of the application, wherein the synchronizing signal tachometer (2) can calculate the time of each rotation, and can generate the following special rotation signals under the condition of fixed rotation speed; Time Synchronous Averaging TSA, which is sampled at a fixed angle, such as a circle of 360 degrees, one piece of data is taken for each degree, and there are 360 pieces of data in one circle. It is used to calculate and obtain the 30 kinds of characteristic values of the three axes mentioned above, which can more accurately predict the vibration fault, fault point and fault degree (Severity) of the monitored rotating machine; The vibration sensor of the vibration/temperature sensing device of the intelligent vibration/temperature sensing device of the present invention receives the signal input from the tachometer via the connecting line, and is set as the starting point angle of a circle; Residual signal (Residual Signal, RES), subtracting the aforementioned TSA signal from the signal obtained by rotation sampling is the residual signal (Residual Signal, RES), from this signal, many eigenvalues related to gear wear can be obtained; The gear-related eigenvalues generated by this sensor are NA4, NA4*, which are used to detect the progressive damage of the gear. The larger the value, the more serious the gear wear. NA4* is an advanced version of NA4. The main difference is that a healthy denominator is used. In this case, the obtained residual signal (Residual Signal, RES) variation value (Variance), the larger the value is, the more serious the gear wear is. The intelligent vibration/temperature sensing device according to claim 1 of the scope of the application, wherein the additional frequency spectrum analysis (Frequency Spectrum Analysis) in the central processing unit (123) on the main control circuit board (12), which is common in the transmission system The components include Peeling and gears. Once such components fail, Peeling fault equation and gear spectrum distribution will be generated. For the above spectrum analysis, the device of the present invention uses a Digital Signal Processor (DSP) of an ARM microprocessor. Performing Fast Fourier Transform can output the frequency and intensity of 100 groups of the strongest energy in the vibration spectrum, which can be used for artificial intelligence fault diagnosis. The intelligent vibration/temperature sensing device according to claim 1 of the scope of the application, wherein the temperature sensing element (122) on the main control circuit board (12) is attached to a motor such as a motor by means of the vibration/temperature sensor (1). 2. The gear box is waiting on the main body (3) of the object to be measured, so as to measure and display the measured temperature state, and use the temperature data measured by the temperature sensing element (122) of the vibration/temperature sensor (1) to pass the edge Calculation (Edge Computing) After the program operation is executed, the temperature change and temperature rise data of the object to be measured are displayed in real time. The intelligent vibration/temperature sensing device according to claim 1 of the scope of the application, wherein the central processing unit (123) on the main control circuit board (12) is an additional support vector machine, which is connected to the vibration/temperature sensor (1) Among them, the support vector machine is an artificial intelligence mechanism that uses vibration eigenvalues for machine fault classification (Classifier) diagnosis, and sends multiple sets of eigenvalues generated by the aforementioned sensors into the support vector machine (SVM) artificial intelligence The SVM parameters trained in the fault diagnosis (Python) program are transmitted to the circuit board above the vibration/temperature sensor ARM. According to the intelligent vibration/temperature sensing device according to claim 1 of the scope of the application, wherein the CMSIS-DSP library program attached to the central processing unit (123) on the main control circuit board (12) can realize the intelligent vibration/temperature sensing device. Vibration/Temperature Sensing Device Machine Learning Capabilities.

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