Method and device for evaluating service life of spatial gear transmission system

Abstract

The embodiment of the invention provides a space gear transmission system life evaluation method and device, and the method comprises the steps: adjusting the vacuum degree and temperature through a visual man-machine interaction module, and adjusting the rotating speed and torque of a rotating part in a gear transmission system; a dynamic response signal of the gear transmission system is acquired through a dynamic data acquisition module; wherein the dynamic response signal comprises a temperature field signal, a strain field signal and an acoustic emission signal; obtaining a dynamic response signal of the dynamic data acquisition module through a dynamic data transmission demodulation module, and determining a target data set based on the dynamic response signal; wherein the target data set comprises a temperature field data set, a strain field data set and an acoustic emission data set; and the visual man-machine interaction module evaluates the service life of the gear transmission system based on the target data set, and determines a service life evaluation result. Therefore, the temperature, stress and frictional wear of the space gear transmission system in the simulation test process are monitored, and the service life of the space gear transmission system is estimated.

Description

Technical Field

[0001] The embodiments of this specification relate to the field of gear technology, and in particular to a method for evaluating the life of a spatial gear transmission system. Background Art

[0002] The gear transmission system is the core mechanical device for the effective operation of space mechanisms. It is widely used in space mechanisms such as robotic arms, solar wing mechanisms, docking mechanisms, antenna pointing mechanisms, and rover movement mechanisms, and determines the performance, reliability, and life of space mechanisms. The gear transmission system of space mechanisms serves in extremely harsh space environments such as high vacuum, microgravity, and temperature changes. It faces serious performance degradation and early failure problems such as deformation, damage, and fatigue. How to monitor the temperature, stress, friction, and wear of the space gear transmission system during environmental simulation tests and then estimate its life is a major problem. At present, the evaluation of space gear mechanisms mostly uses the method of comparing performance before and after environmental tests. A large amount of data during the environmental test is missing, resulting in inaccurate evaluation.

[0003] Therefore, a better solution is urgently needed. Summary of the invention

[0004] In view of this, the embodiments of this specification provide a method for assessing the life of a space gear transmission system. One or more embodiments of this specification also relate to a space gear transmission system life assessment device, a computing device, a computer-readable storage medium, and a computer program to solve the technical defects existing in the prior art.

[0005] According to a first aspect of an embodiment of this specification, a method for assessing the life of a space gear transmission system is provided, which is applied to a space gear transmission system life assessment system. The system includes a dynamic data acquisition module, a dynamic data transmission demodulation module, and a visual human-computer interaction module. The method includes: Adjust vacuum and temperature through visual human-computer interaction module, as well as adjust the speed and torque of rotating parts in gear transmission system; The dynamic response signal of the gear transmission system is collected by a dynamic data collection module; wherein the dynamic response signal includes a temperature field signal, a strain field signal and an acoustic emission signal; The dynamic response signal of the dynamic data acquisition module is acquired through the dynamic data transmission demodulation module, and the target data set is determined based on the dynamic response signal; wherein the target data set includes a temperature field data set, a strain field data set and an acoustic emission data set; The visual human-computer interaction module evaluates the life of the gear transmission system based on the target data set and determines the life evaluation result.

[0006] In a possible implementation, the dynamic data acquisition module includes a temperature sensor, a strain sensor, and an acoustic emission sensor; The temperature sensor and strain sensor are fiber Bragg grating sensors; The acoustic emission sensor is a 2×2 array; The temperature sensor and the strain sensor are arranged on the side of the gear plate; The acoustic emission sensor is arranged on the side of the optical fiber rotary connector bracket.

[0007] In a possible implementation, based on the target data set, the life of the gear transmission system is evaluated to determine the life evaluation result, including: Normalizing the temperature field data set, the strain field data set and the acoustic emission data set to determine normalized data; Perform feature extraction based on normalized data to determine feature data; Train the teacher model based on the feature data and build the student model; The life of the gear transmission system is evaluated based on the student model and the life evaluation result is determined.

[0008] In a possible implementation, normalizing the temperature field data set, the strain field data set, and the acoustic emission data set to determine normalized data includes: Determine a normalization function; Normalized data is determined based on a normalization function, a temperature field data set, a strain field data set, and an acoustic emission data set; wherein the normalized data includes temperature normalized data, strain normalized data, and acoustic emission normalized data.

[0009] In a possible implementation, feature extraction is performed based on normalized data to determine feature data, including: Perform feature extraction based on temperature normalized data to determine the maximum temperature value, minimum temperature value, average temperature, temperature change rate and temperature gradient; Feature extraction is performed based on strain normalized data to determine the maximum strain value, minimum strain value, average strain, strain change rate and strain gradient; Feature extraction was performed based on the normalized acoustic emission data to determine the signal's RMS value, signal energy, event count, and peak amplitude.

[0010] In a possible implementation, the teacher model is trained based on the feature data, and the student model is constructed, including: Train the teacher model based on the feature data and determine the teacher output results; The student model is trained based on the teacher output results to determine the student output results; Determine the combined loss function, and adjust the parameters of the student model based on the student output results and the combined loss function.

[0011] According to a second aspect of the embodiments of this specification, a space gear transmission system life assessment device is provided, which is applied to a space gear transmission system life assessment system. The system includes a dynamic data acquisition module, a dynamic data transmission demodulation module, and a visual human-computer interaction module. The device includes: A parameter configuration module, configured to adjust the vacuum degree and temperature through a visual human-computer interaction module, and to adjust the speed and torque of a rotating component in a gear transmission system; A signal acquisition module is configured to acquire a dynamic response signal of the gear transmission system through a dynamic data acquisition module; wherein the dynamic response signal includes a temperature field signal, a strain field signal and an acoustic emission signal; A data determination module is configured to obtain a dynamic response signal of the dynamic data acquisition module through the dynamic data transmission demodulation module, and determine a target data set based on the dynamic response signal; wherein the target data set includes a temperature field data set, a strain field data set, and an acoustic emission data set; The life assessment module is configured as a visual human-computer interaction module to assess the life of the gear transmission system based on the target data set and determine the life assessment result.

[0012] According to a third aspect of an embodiment of this specification, a computing device is provided, including: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the above-mentioned spatial gear transmission system life assessment method are implemented.

[0013] According to a fourth aspect of the embodiments of this specification, a computer-readable storage medium is provided, which stores computer-executable instructions, and when the instructions are executed by a processor, the steps of the above-mentioned spatial gear transmission system life assessment method are implemented.

[0014] According to a fifth aspect of the embodiments of the present specification, a computer program is provided, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned method for assessing the life of a spatial gear transmission system.

[0015] The embodiments of this specification provide a method and device for assessing the life of a space gear transmission system, wherein the method includes: adjusting the vacuum degree and temperature through a visual human-computer interaction module, and adjusting the speed and torque of the rotating parts in the gear transmission system; acquiring the dynamic response signal of the gear transmission system through a dynamic data acquisition module; wherein the dynamic response signal includes a temperature field signal, a strain field signal, and an acoustic emission signal; acquiring the dynamic response signal of the dynamic data acquisition module through a dynamic data transmission demodulation module, and determining a target data set based on the dynamic response signal; wherein the target data set includes a temperature field data set, a strain field data set, and an acoustic emission data set; the visual human-computer interaction module assesses the life of the gear transmission system based on the target data set and determines the life assessment result. This enables the monitoring of the temperature, stress, friction and wear of the space gear transmission system during the simulation test, and then the estimation of its life. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a flow chart of a method for evaluating the life of a spatial gear transmission system provided by one embodiment of this specification; Figure 2 It is a data flow structure diagram of a method for assessing the life of a spatial gear transmission system provided by an embodiment of this specification; Figure 3a It is a schematic diagram of the overall layout of a method for assessing the life of a spatial gear transmission system provided by an embodiment of this specification; Figure 3b It is a partial enlarged diagram of a gear in a schematic diagram of the overall layout of a method for assessing the life of a spatial gear transmission system provided in one embodiment of this specification; Figure 4 It is a schematic diagram of the layout of an optical fiber sensor of a method for assessing the life of a space gear transmission system provided by one embodiment of this specification; Figure 5 It is a schematic diagram of the flexible connection between a connecting flange and an optical fiber rotary connector of a method for evaluating the life of a space gear transmission system provided by an embodiment of this specification; Figure 6 It is a structural schematic diagram of a life assessment device for a space gear transmission system provided by one embodiment of this specification; Figure 7 It is a structural block diagram of a computing device provided by an embodiment of this specification. DETAILED DESCRIPTION

[0017] Many specific details are described in the following description to facilitate a full understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of this specification, so this specification is not limited to the specific implementation disclosed below.

[0018] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0019] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0020] In this specification, a method for assessing the life of a space gear transmission system is provided. This specification also relates to a device for assessing the life of a space gear transmission system, a computing device, and a computer-readable storage medium, which are described in detail one by one in the following embodiments.

[0021] See also Figure 1 , Figure 1 A flow chart of a space gear transmission system life assessment method provided according to an embodiment of the present specification is shown, which is applied to a space gear transmission system life assessment system. The system includes a dynamic data acquisition module, a dynamic data transmission demodulation module and a visual human-computer interaction module. The method specifically includes the following steps.

[0022] Among them, the dynamic data acquisition module, the dynamic data transmission and demodulation module and the visual human-computer interaction module can be a dynamic data acquisition subsystem, a dynamic data transmission and demodulation subsystem and a visual human-computer interaction subsystem respectively.

[0023] Step 101: Adjust the vacuum degree and temperature, and adjust the speed and torque of the rotating parts in the gear transmission system through the visual human-computer interaction module.

[0024] In practical applications, see Figure 2The dynamic data acquisition subsystem is mainly used to monitor the temperature field, strain field and wear degree of the gear transmission system, including temperature, strain and acoustic emission sensors; the dynamic data transmission demodulation subsystem is mainly used to transmit the collected data signals to the outside of the thermal vacuum environment simulation equipment and convert the optical signal into an electrical signal, including a fiber optic rotary connector, a cabin connector and a data acquisition device; the visual human-computer interaction subsystem is mainly used to adjust the working conditions of the gear transmission system in the thermal vacuum environment simulation equipment, extract the characteristics of the temperature field, strain field and acoustic emission data set of the gear transmission system and predict the health degree, including computers, displays and rotating parts multi-parameter monitoring software; the gear shaft and the optical fiber rotary connector in the gear transmission system are connected together through a connecting flange, so that the gear and the rotor of the optical fiber rotary connector keep rotating synchronously. The connecting flange and the rotor of the optical fiber rotary connector are connected by a pin, and there is a certain gap between the pin and the mounting hole to eliminate the influence of the gear running jump on the optical fiber rotary connector.

[0025] See also Figure 3a , Figure 3a The schematic diagram of the test device of the space gear transmission system is shown, which specifically includes a drive motor 9, a rotating component 10, a vacuum environment test chamber 11, and a magnetic powder brake 12. The visual human-computer interaction module adjusts the vacuum degree and temperature inside the vacuum environment test chamber, and adjusts the drive motor and the magnetic powder brake to ensure the speed and torque of the rotating component in the gear transmission system.

[0026] Step 102: Collecting dynamic response signals of the gear transmission system through a dynamic data acquisition module; wherein the dynamic response signals include temperature field signals, strain field signals, and acoustic emission signals.

[0027] In a possible implementation, the dynamic data acquisition module includes a temperature sensor and a strain sensor; the temperature sensor and the strain sensor are fiber Bragg grating sensors; the temperature sensor and the strain sensor are arranged on the side of the gear disk in the gear transmission system.

[0028] In practical applications, fiber Bragg grating sensors are used as temperature and strain sensors. They are evenly pasted on the gear tooth roots along the circumference of the gear and staggered along the radial direction of the gear to obtain the temperature and strain values ​​at this position.

[0029] For details, see Figure 3b The dynamic data acquisition subsystem is placed in a thermal vacuum environment simulation device and is equipped with a fiber Bragg grating temperature sensor 7, a fiber Bragg grating strain sensor 7, and an acoustic emission sensor 5. Figure 4, the fiber Bragg grating sensor 7 is evenly attached to the root of the gear 4 along the circumference of the gear to obtain the temperature and strain value at this position, and finally the gear temperature field and strain field inversion is realized through the visual human-computer interaction subsystem. The acoustic emission sensor 5 is used to extract the signal characteristics when the gear transmission system is running, and the gear wear degree is monitored through the visual human-computer interaction subsystem.

[0030] In a possible implementation, the dynamic data acquisition module includes an acoustic emission sensor; the acoustic emission sensor is in a 2×2 array form.

[0031] In practical applications, acoustic emission sensors are arranged in a 2×2 array on the side of the optical fiber rotary connector bracket to extract signal features when the gear transmission system is running.

[0032] Step 103: Acquire the dynamic response signal of the dynamic data acquisition module through the dynamic data transmission demodulation module, and determine the target data set based on the dynamic response signal; wherein the target data set includes a temperature field data set, a strain field data set and an acoustic emission data set.

[0033] In practical applications, the dynamic data transmission demodulation subsystem transmits the signals collected by the dynamic data acquisition subsystem to the outside of the thermal vacuum environment to access the visual human-computer interaction subsystem, including the optical fiber rotary connector 6, the cabin connector, and the data acquisition equipment. In the gear transmission system, the gear shaft and the optical fiber rotary connector 6 are connected together through the connecting flange 3, so that the gear 4 and the optical fiber rotary connector rotor 2 keep rotating synchronously. Figure 5 The connecting flange 3 is connected to the optical fiber rotary connector rotor 2 by a pin 8. There is a certain gap between the pin 8 and the mounting hole to eliminate the influence of the running jump of the gear 4 on the optical fiber rotary connector 6. The cabin connector is fixed to the cabin flange by screws. The cable connector inside the cabin is connected to the optical fiber at the stator end of the optical fiber rotary connector and the acoustic emission sensor. The cable connector outside the cabin is connected to the optical fiber demodulator and the acoustic emission demodulator.

[0034] Step 104: The visual human-computer interaction module evaluates the life of the gear transmission system based on the target data set and determines a life evaluation result.

[0035] In one possible implementation, the life of the gear transmission system is evaluated based on the target data set to determine the life evaluation result, including: normalizing the temperature field data set, the strain field data set and the acoustic emission data set to determine the normalized data; extracting features based on the normalized data to determine the feature data; training the teacher model based on the feature data and constructing the student model; evaluating the life of the gear transmission system based on the student model to determine the life evaluation result.

[0036] In practical applications, the visual human-computer interaction subsystem includes computers, displays, and rotating parts multi-parameter monitoring software. Based on the discrete temperature and strain response data of the gear transmission system, the temperature field and strain field of the gear transmission system are inverted and visualized. The health prediction method of the gear transmission system includes data fusion, feature extraction, supervised learning model construction, and Bayesian fusion, and the health prediction results of the gear transmission system are obtained based on the Bayesian theorem fusion of temperature, strain, and acoustic emission models.

[0037] In a possible implementation, the temperature field data set, the strain field data set, and the acoustic emission data set are normalized to determine the normalized data, including: determining a normalization function; determining the normalized data based on the normalization function, the temperature field data set, the strain field data set, and the acoustic emission data set; wherein the normalized data includes temperature normalized data, strain normalized data, and acoustic emission normalized data.

[0038] In practical applications, in order to fuse three different types of temperature field data , strain field data , Acoustic Emission Data , it needs to be normalized to facilitate subsequent feature extraction and modeling. For each type of data, define the normalization function :

[0039] in, represents the data set to be normalized, where Indicates time, Indicates spatial location; The temperature field, strain field, and acoustic emission data sets of different dimensions are normalized as follows:

[0040]

[0041]

[0042] In one possible implementation, feature extraction is performed based on normalized data to determine feature data, including: feature extraction is performed based on temperature normalized data to determine the maximum temperature value, the minimum temperature value, the average temperature, the temperature change rate and the temperature gradient; feature extraction is performed based on strain normalized data to determine the maximum strain value, the minimum strain value, the average strain, the strain change rate and the strain gradient; feature extraction is performed based on acoustic emission normalized data to determine the root mean square value of the signal, the signal energy, the event count and the peak amplitude.

[0043] In practical applications, feature extraction is performed on temperature fields, strain fields, and acoustic emission data sets: (1) Temperature field feature extraction Maximum temperature: , the maximum temperature may indicate local overheating; Minimum temperature: , the minimum temperature can be used to observe the extreme values ​​of the temperature distribution; Average temperature: , Indicates the number of sampling time points, and the average temperature reflects the heat load of the entire area; Temperature change rate (time derivative): , represents an increment of time, Indicates at time Time and space position The temperature at the location where the temperature change rate reflects abnormal temperature rise is an early sign of potential failure; Temperature gradient (spatial derivative): , Represents the temperature set Space coordinates The partial derivative of Represents the number of spatial dimensions. The temperature gradient can characterize the inhomogeneity of temperature distribution. A steep gradient may indicate local damage. Therefore, the temperature field feature set It can be expressed as:

[0044] (2) Strain field feature extraction Maximum strain value: , the maximum strain value indicates the stress concentration area, which may lead to material failure; Minimum strain value: , the minimum strain value is used to analyze the range of stress distribution in the gear structure; Average strain: , Represents the number of sampling time points, and the average strain reflects the torque load of the entire transmission mechanism; Strain rate of change (time derivative): , Indicates at time Time and space position The strain at , the rate of strain change usually reflects the fatigue damage of the material; Strain gradient (spatial derivative): , Represents strain set Space coordinates The partial derivative of Represents the number of spatial dimensions. The strain gradient can reflect the stress distribution. A higher strain gradient may indicate defects or fatigue cracks in the gear structure. Therefore, the strain field feature set It can be expressed as:

[0045] (3) Acoustic emission feature extraction Acoustic emission signals are usually accompanied by abnormal phenomena such as micro cracks and wear during the operation of the gear transmission mechanism.

[0046] The RMS value of a signal: , reflecting the energy level of the signal; Signal Energy: , the signal energy is related to the energy release caused by the damage; Event Count: , where 1 is the indicator function, the statistical signal exceeds the set threshold The number of times; Peak Amplitude: ,The peak amplitude of the signal is an indication of the strength of the acoustic emission signal; Therefore, the acoustic emission feature set It can be expressed as:

[0047] Combine the extracted feature sets into a feature set vector:

[0048] In one possible implementation, a teacher model is trained based on feature data and a student model is constructed, including: training the teacher model based on feature data to determine the teacher output result; training the student model based on the teacher output result to determine the student output result; determining a combined loss function, and adjusting the parameters of the student model based on the student output result and the combined loss function.

[0049] In practical applications, the teacher model is trained based on the feature set vector to obtain high-performance output. The student model is constructed to learn the knowledge of the teacher model, that is, under the temperature field, strain field, and acoustic emission feature sets:

[0050]

[0051]

[0052] in, represents other states among all possible health states, , , Respectively expressed in the characteristics , , The predicted probability of the next health state, , , They represent temperature, strain, and acoustic emission parameters, respectively, and are used to smooth the output distribution. is a function that transforms the feature set and parameters As input, it outputs a score, which is used to calculate the probability.

[0053] Train the student model:

[0054] in, For the feature set The predicted probability of the next health state, are the parameters of the student model, is the predicted probability of the student model, is the Kullback-Leibler divergence, which is used to measure the difference between two probability distributions.

[0055] Construct the combined loss function:

[0056] in, is the cross entropy loss, which measures the difference between the student model prediction and the true label. is a balancing factor that controls the weight between distillation loss and supervision loss.

[0057] Training objectives:

[0058] in, are the parameters of the teacher model, For the teacher model, is the loss function, represents the number of spatial dimensions and the total number of training samples, For the The health status of the samples, For the The feature set vector is composed of the feature sets of samples.

[0059] Furthermore, based on the Bayesian theorem, the prediction results of multiple models including temperature, strain and acoustic emission are integrated, and the health state of the gear transmission mechanism is assumed to be , whose conditional probabilities from temperature field, strain field and acoustic emission model prediction are , , .

[0060] Combining these results according to Bayes' theorem, we have:

[0061] To calculate the normalized health status probability, the above formula can be expressed as:

[0062] in, represents the other states among all possible health states. This normalization process is to ensure that the sum of the probabilities of all possible states is 1.

[0063] The embodiments of this specification provide a method and device for assessing the life of a space gear transmission system, wherein the method includes: adjusting the vacuum degree and temperature through a visual human-computer interaction module, and adjusting the speed and torque of the rotating parts in the gear transmission system; acquiring the dynamic response signal of the gear transmission system through a dynamic data acquisition module; wherein the dynamic response signal includes a temperature field signal, a strain field signal, and an acoustic emission signal; acquiring the dynamic response signal of the dynamic data acquisition module through a dynamic data transmission demodulation module, and determining a target data set based on the dynamic response signal; wherein the target data set includes a temperature field data set, a strain field data set, and an acoustic emission data set; the visual human-computer interaction module assesses the life of the gear transmission system based on the target data set and determines the life assessment result. This enables the monitoring of the temperature, stress, friction and wear of the space gear transmission system during the simulation test, and then the estimation of its life.

[0064] Corresponding to the above method embodiment, this specification also provides an embodiment of a life assessment device for a spatial gear transmission system, Figure 6 FIG. 2 shows a schematic diagram of a space gear transmission system life assessment device provided by an embodiment of the present specification. Figure 6 As shown, the device is applied to the life assessment system of the space gear transmission system. The system includes a dynamic data acquisition module, a dynamic data transmission demodulation module and a visual human-computer interaction module. The device includes: The parameter configuration module 601 is configured to adjust the vacuum degree and temperature through the visual human-computer interaction module, and adjust the speed and torque of the rotating parts in the gear transmission system; The signal acquisition module 602 is configured to acquire the dynamic response signal of the gear transmission system through the dynamic data acquisition module; wherein the dynamic response signal includes a temperature field signal, a strain field signal and an acoustic emission signal; The data determination module 603 is configured to obtain the dynamic response signal of the dynamic data acquisition module through the dynamic data transmission demodulation module, and determine the target data set based on the dynamic response signal; wherein the target data set includes a temperature field data set, a strain field data set and an acoustic emission data set; The life assessment module 604 is configured as a visual human-computer interaction module to assess the life of the gear transmission system based on the target data set and determine a life assessment result.

[0065] In a possible implementation, the dynamic data acquisition module includes a temperature sensor and a strain sensor; The temperature sensor and strain sensor are fiber Bragg grating sensors; The temperature sensor and the strain sensor are arranged on the side of the gear plate in the gear transmission system.

[0066] In one possible implementation, the dynamic data acquisition module includes an acoustic emission sensor; The acoustic emission sensors are in the form of a 2×2 array and are arranged on the side of the optical fiber rotary connector bracket.

[0067] In a possible implementation, based on the target data set, the life of the gear transmission system is evaluated to determine the life evaluation result, including: Normalizing the temperature field data set, the strain field data set and the acoustic emission data set to determine normalized data; Perform feature extraction based on normalized data to determine feature data; Train the teacher model based on the feature data and build the student model; The life of the gear transmission system is evaluated based on the student model and the life evaluation result is determined.

[0068] In a possible implementation, normalizing the temperature field data set, the strain field data set, and the acoustic emission data set to determine normalized data includes: Determine a normalization function; Normalized data is determined based on a normalization function, a temperature field data set, a strain field data set, and an acoustic emission data set; wherein the normalized data includes temperature normalized data, strain normalized data, and acoustic emission normalized data.

[0069] In a possible implementation, feature extraction is performed based on normalized data to determine feature data, including: Perform feature extraction based on temperature normalized data to determine the maximum temperature value, minimum temperature value, average temperature, temperature change rate and temperature gradient; Feature extraction is performed based on strain normalized data to determine the maximum strain value, minimum strain value, average strain, strain change rate and strain gradient; Feature extraction was performed based on the normalized acoustic emission data to determine the signal's RMS value, signal energy, event count, and peak amplitude.

[0070] In a possible implementation, the teacher model is trained based on the feature data, and the student model is constructed, including: Train the teacher model based on the feature data and determine the teacher output results; The student model is trained based on the teacher output results to determine the student output results; Determine the combined loss function, and adjust the parameters of the student model based on the student output results and the combined loss function.

[0071] The above is a schematic scheme of a space gear transmission system life assessment device of this embodiment. It should be noted that the technical scheme of the space gear transmission system life assessment device and the technical scheme of the space gear transmission system life assessment method described above belong to the same concept, and the details not described in detail in the technical scheme of the space gear transmission system life assessment device can be found in the description of the technical scheme of the space gear transmission system life assessment method described above.

[0072] Figure 7 The block diagram of a computing device 700 according to an embodiment of the present specification is shown. The components of the computing device 700 include but are not limited to a memory 710 and a processor 720. The processor 720 is connected to the memory 710 via a bus 730, and the database 750 is used to store data.

[0073] The computing device 700 also includes an access device 740 that enables the computing device 700 to communicate via one or more networks 760. Examples of these networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. The access device 740 may include one or more of any type of network interface (e.g., a network interface card (NIC)) of wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a world-wide interoperability for microwave access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, and a near field communication (NFC).

[0074] In one embodiment of the present specification, the above components of the computing device 700 and Figure 7 Other components not shown in the figure may also be connected to each other, for example, via a bus. It should be understood that Figure 7 The computing device structure block diagram shown is only for the purpose of illustration, and is not intended to limit the scope of this specification. Those skilled in the art can add or replace other components as needed.

[0075] The computing device 700 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, a personal digital assistant, a laptop computer, a notebook computer, a netbook, etc.), a mobile phone (e.g., a smart phone), a wearable computing device (e.g., a smart watch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or a personal computer (PC). The computing device 700 may also be a mobile or stationary server.

[0076] The processor 720 is used to execute the following computer executable instructions, which, when executed by the processor, implement the steps of the above-mentioned space gear transmission system life assessment method. The above is a schematic scheme of a computing device of this embodiment. It should be noted that the technical scheme of the computing device and the technical scheme of the above-mentioned space gear transmission system life assessment method belong to the same concept. For details not described in detail in the technical scheme of the computing device, please refer to the description of the technical scheme of the above-mentioned space gear transmission system life assessment method.

[0077] An embodiment of the present specification also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the above-mentioned method for assessing the life of a spatial gear transmission system.

[0078] The above is a schematic scheme of a computer-readable storage medium of this embodiment. It should be noted that the technical scheme of the storage medium and the technical scheme of the above-mentioned method for assessing the life of a space gear transmission system belong to the same concept, and the details not described in detail in the technical scheme of the storage medium can be referred to the description of the technical scheme of the above-mentioned method for assessing the life of a space gear transmission system.

[0079] An embodiment of the present specification also provides a computer program, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned spatial gear transmission system life assessment method.

[0080] The above is a schematic scheme of a computer program of this embodiment. It should be noted that the technical scheme of the computer program and the technical scheme of the above-mentioned method for assessing the life of a space gear transmission system are of the same concept, and the details not described in detail in the technical scheme of the computer program can be found in the description of the technical scheme of the above-mentioned method for assessing the life of a space gear transmission system.

[0081] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0082] The computer instructions include computer program codes, which may be in source code form, object code form, executable files or some intermediate forms, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0083] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of this specification are not limited by the order of the actions described, because according to the embodiments of this specification, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0084] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0085] The preferred embodiments of this specification disclosed above are only used to help explain this specification. The optional embodiments do not describe all the details in detail, nor do they limit the invention to only the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of the embodiments of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of this specification, so that technicians in the relevant technical field can well understand and use this specification. This specification is only limited by the claims and their full scope and equivalents.

Claims

1. A method for evaluating the life of a spatial gear transmission system, characterized in that: Applied to a life assessment system for a space gear transmission system, the system includes a dynamic data acquisition module, a dynamic data transmission demodulation module, and a visual human-computer interaction module, and the method includes: Adjusting the vacuum degree and temperature through the visual human-computer interaction module, and adjusting the speed and torque of the rotating parts in the gear transmission system; The dynamic response signal of the gear transmission system is collected by the dynamic data collection module; wherein the dynamic response signal includes a temperature field signal, a strain field signal and an acoustic emission signal; Acquire the dynamic response signal of the dynamic data acquisition module through the dynamic data transmission demodulation module, and determine the target data set based on the dynamic response signal; wherein the target data set includes a temperature field data set, a strain field data set and an acoustic emission data set; The visual human-computer interaction module evaluates the life of the gear transmission system based on the target data set and determines a life evaluation result.

2. The method according to claim 1, characterized in that The dynamic data acquisition module includes a temperature sensor and a strain sensor; The temperature sensor and the strain sensor are fiber Bragg grating sensors; The temperature sensor and the strain sensor are arranged on the side of the gear plate in the gear transmission system.

3. The method according to claim 1, characterized in that The dynamic data acquisition module includes an acoustic emission sensor; The acoustic emission sensor is in the form of a 2×2 array; The acoustic emission sensor is arranged on the side of the optical fiber rotary connector bracket in the gear transmission system.

4. The method according to claim 1, characterized in that: The step of evaluating the life of the gear transmission system based on the target data set and determining a life evaluation result includes: Normalizing the temperature field data set, the strain field data set, and the acoustic emission data set to determine normalized data; Performing feature extraction based on the normalized data to determine feature data; Training a teacher model based on the feature data and constructing a student model; The life of the gear transmission system is evaluated based on the student model to determine a life evaluation result.

5. The method according to claim 4, characterized in that The normalizing the temperature field data set, the strain field data set, and the acoustic emission data set to determine normalized data includes: Determine a normalization function; Normalized data is determined based on the normalization function, the temperature field data set, the strain field data set, and the acoustic emission data set; wherein the normalized data includes temperature normalized data, strain normalized data, and acoustic emission normalized data.

6. The method according to claim 5, characterized in that The extracting features based on the normalized data to determine the feature data includes: Performing feature extraction based on the temperature normalized data to determine the maximum temperature value, the minimum temperature value, the average temperature, the temperature change rate and the temperature gradient; Performing feature extraction based on the strain normalized data to determine the maximum strain value, the minimum strain value, the average strain, the strain change rate and the strain gradient; Feature extraction is performed based on the acoustic emission normalized data to determine the root mean square value, signal energy, event count and peak amplitude of the signal.

7. The method according to claim 4, characterized in that The step of training the teacher model based on the feature data and constructing the student model includes: Training a teacher model based on the feature data to determine a teacher output result; Training the student model based on the teacher output result to determine the student output result; A combined loss function is determined, and parameters of the student model are adjusted based on the student output and the combined loss function.

8. A life assessment device for a space gear transmission system, characterized in that: Applied to the life assessment system of a space gear transmission system, the system includes a dynamic data acquisition module, a dynamic data transmission demodulation module and a visual human-computer interaction module, and the device includes: A parameter configuration module, configured to adjust the vacuum degree and temperature through the visual human-computer interaction module, and adjust the speed and torque of the rotating parts in the gear transmission system; A signal acquisition module, configured to acquire a dynamic response signal of the gear transmission system through the dynamic data acquisition module; wherein the dynamic response signal includes a temperature field signal, a strain field signal and an acoustic emission signal; A data determination module is configured to obtain a dynamic response signal of the dynamic data acquisition module through a dynamic data transmission demodulation module, and determine a target data set based on the dynamic response signal; wherein the target data set includes a temperature field data set, a strain field data set, and an acoustic emission data set; The life assessment module is configured so that the visual human-computer interaction module assesses the life of the gear transmission system based on the target data set and determines a life assessment result.

9. A computing device, characterized in that include: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the method for assessing the life of a spatial gear transmission system according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the method for life assessment of a spatial gear transmission system according to any one of claims 1 to 7.

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