Fault diagnosis method and system for vibration motor of magnesium powder screening equipment

Abstract

The invention relates to the technical field of data processing, in particular to a fault diagnosis method and system for a vibration motor of magnesium powder screening equipment. The method comprises the following steps: collecting multi-dimensional operation data of a vibration motor at each moment, and calculating the heat production intensity of the motor at each moment according to a current effective value and a vibration acceleration amplitude of the motor; according to the ratio relation between the temperature difference of the motor surface and the workshop environment and the heat production intensity of the motor, a dynamic heat resistance coefficient is obtained, and the internal fault deviation degree is obtained based on the change rate of the motor surface temperature data in a short time; based on the amplification effect of the dynamic heat resistance coefficient on the internal fault deviation degree, the final internal fault hazard degree is obtained, and a corresponding ash removal prompt or shutdown instruction is triggered according to the final internal fault hazard degree and the dynamic heat resistance coefficient. And the accuracy of internal fault alarm is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and in particular to a fault diagnosis method and system for a vibration motor of a magnesium powder screening device. BACKGROUND

[0002] The driving core of the screening device (such as a linear vibration screen or a rotary vibration screen) in the magnesium powder production line is an explosion-proof vibration motor. The explosion-proof vibration motor serves as a power source and works in a high-frequency vibration, variable load, and high-dust environment for a long time. The magnesium powder itself has the characteristics of low density, poor flowability, flammability, and explosiveness. Fine dust is easily generated during the screening process. If the fine dust contacts high-temperature components, combustion or even explosion may be triggered. Therefore, in order to prevent the magnesium powder from burning or exploding due to overheating of the motor, the temperature of the motor needs to be monitored. The traditional monitoring method is to attach a temperature sensor to the surface of the motor and set an absolute threshold. If the surface temperature of the motor exceeds the absolute threshold, it is considered that the motor has a fault and an alarm is immediately triggered to stop the motor. However, in the specific scenario of magnesium powder screening, there is a serious feature aliasing problem, which leads to a high false alarm rate or a missed core fault. It is known that magnesium powder is prone to deposit on the surface of the vibration motor. This deposition can significantly reduce the heat dissipation capacity of the motor, causing the surface temperature of the motor to gradually rise under normal operating conditions. This makes it impossible for the existing single temperature threshold to distinguish whether the temperature rise is caused by motor dust accumulation or internal faults (such as inter-turn short circuit or bearing friction). Frequent alarms and shutdowns for dust removal due to dust accumulation will seriously affect production efficiency. Furthermore, when the motor surface has thick dust accumulation, the additional heat generated by early internal faults of the motor will be superimposed on the temperature rise caused by dust accumulation. Due to the thermal resistance effect of the dust accumulation layer, the heat generated by internal faults is transferred to the surface with a lag and attenuation, which is easily mistaken for a temperature rise caused by dust accumulation, thus missing the best opportunity for fault handling. Once the internal temperature exceeds the ignition point, it is easy to cause catastrophic consequences. SUMMARY

[0003] To solve the problem of dust accumulation causing the heat dissipation capacity of the motor to decrease, causing the temperature to gradually rise, masking and lagging the heat generated by internal faults, and causing frequent false alarms or missed alarms of the single threshold temperature alarm, thereby affecting production safety and efficiency, the present application provides a fault diagnosis method and system for a vibration motor of a magnesium powder screening device.

[0004] In a first aspect, the present application provides a fault diagnosis method for a vibration motor of a magnesium powder screening device, which adopts the following technical solution: A fault diagnosis method for a vibration motor of a magnesium powder screening device, comprising the steps of: Collect multi-dimensional operation data of the explosion-proof motor of the magnesium powder screening equipment, the multi-dimensional operation data including an effective value of motor current, a vibration acceleration amplitude of a motor casing, a motor surface temperature, and a workshop environment temperature; According to changes of the effective value of motor current and the vibration acceleration amplitude, obtain a motor heat production intensity for representing a theoretical heat production intensity of the motor; according to a difference between the motor surface temperature and the workshop environment temperature and a mean value of the motor heat production intensity in a historical time period, obtain a dynamic heat resistance coefficient for representing a dust deposition degree of the motor; according to a ratio of a motor surface temperature change amount at adjacent time points to a motor heat production intensity change amount and the dynamic heat resistance coefficient, obtain an internal fault deviation degree; According to the internal fault deviation degree and the dynamic heat resistance coefficient, construct a final internal fault hazard degree index; Compare the final internal fault hazard degree index with a preset fault threshold value, and control the explosion-proof motor to execute a shutdown alarm; if the shutdown alarm is not executed, compare the dynamic heat resistance coefficient with a preset dust removal threshold value, and control the explosion-proof motor to issue a dust removal early warning.

[0005] The innovation of the application is that the motor heat production intensity is calculated by introducing current and vibration data, the heat generation trend of the motor can be quantified from the perspective of energy input, and normal temperature rise caused by load change (current, vibration) can be identified; further, the dynamic heat resistance coefficient is obtained by using the temperature difference between the motor surface and the workshop environment and the ratio of the motor heat production intensity, which can reflect the dust deposition degree of the motor surface, the internal fault deviation degree is calculated by using the feature of temperature change rate caused by the change of motor heat production intensity, which can sensitively capture internal heat source abnormalities; further, the dust deposition degree and the internal fault deviation degree are coupled by multiplication, which can amplify the harm degree of the high-risk working condition of internal fault and serious dust deposition, finally, the corresponding dust removal prompt or shutdown instruction is triggered according to the final internal fault hazard degree and the dynamic heat resistance coefficient, which can accurately warn and shut down the internal fault of the motor, and avoid frequent alarm shutdown and dust removal due to dust deposition temperature rise, affecting production efficiency.

[0006] Preferably, the motor heat production intensity is obtained, including: ; In the formula, represents the motor heat production intensity at the t th time point; represents the effective value of motor current at the t th time point; represents the rated current constant of the motor; represents the vibration acceleration amplitude at the t th time point; represents the reference vibration amplitude of the motor in a fault-free state; represents an absolute value symbol; represents a logarithmic function; represents a current heat production weight; This represents the weight of heat generation from mechanical vibration.

[0007] By incorporating current and vibration data to calculate the heat generation intensity of the motor, the heating trend of the motor can be quantified from the perspective of energy input, and the normal temperature rise caused by load changes (current, vibration) can be identified.

[0008] Preferably, obtaining the dynamic thermal resistance coefficient includes: ; In the formula, Represents the dynamic heat resistance coefficient at time t; This represents the surface temperature of the motor at time t. The ambient temperature in the workshop at time t represents the ambient temperature at that moment. This represents the average heat generation intensity of the motor across all times in the historical window at time t. This represents the preset hyperparameters.

[0009] By utilizing the ratio of the temperature difference between the motor surface and the workshop environment to the heat generation intensity of the motor, the dynamic heat resistance coefficient can be obtained, which can reflect the degree of dust accumulation on the motor surface.

[0010] Preferably, obtaining the internal fault deviation includes: ; In the formula, This represents the internal fault deviation at time t; This represents the heat generation intensity of the motor at time t; This represents the heat generation intensity of the motor at time t-1. This represents the surface temperature of the motor at time t. Represents the surface temperature of the motor at time t-1; || represents the absolute value sign; Represents the dynamic heat resistance coefficient at time t; The reference thermal resistance constant represents the motor under clean conditions; This represents the preset hyperparameters.

[0011] By utilizing the characteristic of the rate of temperature change caused by changes in the heat generation intensity of the motor, it is possible to keenly detect abnormalities in internal heat sources.

[0012] Preferably, the step of constructing the final internal fault severity index based on the internal fault deviation and dynamic thermal resistance coefficient includes: ; In the formula, This represents the severity of the final internal fault at time t. This represents the internal fault deviation at time t; representing the internal fault deviation threshold value; representing the dynamic thermal resistance coefficient of the tth moment; representing the dust accumulation degree limit threshold value; representing the fault risk coefficient.

[0013] The product coupling of the dust accumulation degree and the internal fault deviation can accurately warn the internal fault of the motor.

[0014] Preferably, the comparison of the final internal fault hazard degree index with the preset fault threshold value controls the explosion-proof motor to execute the shutdown alarm, which comprises: The preset fault threshold value T1, if the final internal fault hazard degree of the tth moment is greater than or equal to the fault threshold value, the system determines that it is a high-risk fault state, immediately outputs a shutdown signal to cut off the power supply of the motor, and issues a red audible and light alarm.

[0015] Preferably, if the shutdown alarm is not executed, the dynamic thermal resistance coefficient is compared with the preset dust removal threshold value to control the explosion-proof motor to issue a dust removal warning, which comprises: The dust removal threshold value is obtained; if the final internal fault hazard degree of the tth moment is less than the fault threshold value, but the dynamic thermal resistance coefficient of the tth moment is greater than or equal to the dust removal threshold value, the system determines that it is a poor heat dissipation state, issues a yellow warning signal, and does not force shutdown, prompting the staff to clean the surface of the motor after the end of the current screening task.

[0016] It can stop running decisively at high risk to prevent magnesium powder explosion, and can only issue a dust removal prompt when there is only dust but no internal fault, avoiding unnecessary shutdown caused by production interruption.

[0017] Preferably, the collection of the multi-dimensional running data of the magnesium powder screening equipment explosion-proof motor comprises: The mutual inductor is installed in the control cabinet of the explosion-proof vibration motor of the magnesium powder screening machine to collect the instantaneous value of the motor stator three-phase current at each moment, and the square average number calculation is performed on the collected instantaneous value of the motor stator three-phase current to obtain the motor current effective value at each moment. The IEPE piezoelectric acceleration sensor is fixed on the end cover of the motor shell by magnetic attraction or bolts, the platinum resistance is pasted on the middle part of the motor shell to collect the motor surface temperature at each moment, and the environmental temperature sensor is deployed inside the screening workshop to collect the workshop environmental temperature at each moment.

[0018] Preferably, the dust removal threshold value is obtained, which comprises: The dust removal threshold value , representing the reference thermal resistance coefficient constant under the clean state of the motor.

[0019] In a second aspect, the present application provides a fault diagnosis system of a vibrating motor of a magnesium powder screening device, which adopts the following technical scheme: A fault diagnosis system of a vibrating motor of a magnesium powder screening device, comprising a processor and a memory, wherein the memory stores computer program instructions, and the computer program instructions, when executed by the processor, implement the fault diagnosis method of the vibrating motor of the magnesium powder screening device.

[0020] By adopting the above technical scheme, the fault diagnosis method of the vibrating motor of the magnesium powder screening device is generated into a computer program and stored in the memory to be loaded and executed by the processor, so that a terminal device is made according to the memory and the processor, and use is facilitated.

[0021] The present application has the following technical effects: The present application calculates the motor heat production intensity by introducing current and vibration data, identifies normal temperature rise caused by motor load change, further uses the temperature difference between the motor surface and the workshop environment and the ratio of the motor heat production intensity to obtain the dynamic heat resistance coefficient, which can reflect the degree of dust accumulation on the motor surface, uses the temperature change rate feature caused by the change of the motor heat production intensity to obtain the internal fault deviation, which can sensitively capture internal heat source abnormalities, further couples the dust accumulation degree and the internal fault deviation to significantly amplify the hazard degree of high-risk working conditions with internal faults and serious dust accumulation, and finally triggers the corresponding dust removal prompt or shutdown instruction according to the final internal fault hazard degree and the dynamic heat resistance coefficient, which can accurately perform early warning shutdown on the internal fault of the motor and avoid frequent alarm shutdown and dust removal due to dust accumulation temperature rise, thereby affecting production efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 is a method flowchart in a fault diagnosis method of a vibrating motor of a magnesium powder screening device according to an embodiment of the present application; Figure 2 represents a decoupling effect display diagram of dust accumulation and fault characteristics according to the present application; Figure 3 represents a comparison diagram of diagnosis effects of dust accumulation and fault working conditions according to the present application and prior art. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments of the present application.

[0024] An embodiment of the present application discloses a fault diagnosis method of a vibrating motor of a magnesium powder screening device, referring to Figure 1 , comprising steps S1-S4: S1: Collect multi-dimensional running data of the vibration motor at each time, the multi-dimensional running data including motor current effective value, vibration acceleration amplitude, motor surface temperature and workshop ambient temperature.

[0025] In the embodiment of the present application, a mutual inductor is installed in the control cabinet of the explosion-proof vibration motor of the magnesium powder screening machine, the instantaneous value of the motor stator three-phase current at each time is collected, the square average of the collected instantaneous value of the motor stator three-phase current is calculated to obtain the motor current effective value at each time; the square average (RMS) is a commonly used existing technology in electricity to obtain the effective value of alternating current, which is not described in detail in this embodiment; the IEPE piezoelectric acceleration sensor is fixed on the motor shell end cover (near the bearing seat) by magnetic attraction or bolt to collect the vibration acceleration amplitude at each time; the platinum resistance (such as PT100) is pasted on the middle part of the motor shell to collect the motor surface temperature at each time; the environmental temperature sensor is deployed inside the screening workshop to collect the workshop ambient temperature at each time; When the vibration motor is normally running, the IEPE piezoelectric acceleration sensor is fixed on the motor shell end cover (near the bearing seat) by magnetic attraction or bolt to collect the vibration acceleration amplitude at any time as the reference vibration amplitude of the motor in the fault-free state.

[0026] It should be noted that the motor current effective value, the vibration acceleration amplitude, the motor surface temperature and the workshop ambient temperature are time-aligned.

[0027] S2: According to the motor current effective value and the vibration acceleration amplitude, the motor heat production intensity representing the internal load heat production potential of the motor is calculated; according to the motor surface temperature, the workshop ambient temperature and the motor heat production intensity, the dynamic heat resistance coefficient at each time is obtained to represent the degree of dust accumulation on the motor surface.

[0028] It should be noted that in the magnesium powder screening scene, there are usually three reasons for the increase of the motor surface temperature, if the current increases due to large feed quantity or the vibration load of the motor is large, the motor will heat up, which is a normal load temperature rise phenomenon, if the load of the motor does not change, but the motor surface is covered with a layer of magnesium powder, which will cause poor heat dissipation of the motor, which is a dust accumulation caused temperature rise phenomenon; if the load of the motor does not change, but the motor internal short circuit or the bearing wear occurs, which causes an additional abnormal heat source, which is a fault caused temperature rise phenomenon. Therefore, the present application needs to combine the changes of the collected motor current effective value and vibration acceleration amplitude to obtain the motor heat production intensity at each time, which can reflect the load change of the motor at each time, and is used to judge whether the temperature rise is a normal load effect or a fault or dust accumulation effect.

[0029] In this embodiment of the invention, the heat generation intensity of the motor at each moment is obtained: ; In the formula, This represents the heat generation intensity of the motor at time t. This represents the effective value of the motor current at time t. The rated current constant of the motor can be obtained directly from the parameters on the motor nameplate. This represents the amplitude of the vibration acceleration at time t. Represents the reference vibration amplitude of the motor under fault-free conditions; || represents the absolute value sign; Represents the logarithmic function; Represents the weight of heat generated by electric current; Represents the weight of heat generation from mechanical vibration; in this embodiment of the invention, a preset... , In other embodiments, implementers may pre-set according to specific implementation conditions. as well as The value; It is known that the heating of the motor windings mainly originates from copper losses. According to Joule's law in physics, the heating power is directly proportional to the square of the current. The larger the value, the more likely the motor is to be fully loaded, and the greater the contribution of the current load to heat generation, which causes the temperature on the surface of the motor to rise. When the value is close to 0, it indicates that the motor is more likely to be unloaded; The mechanical heat source of a vibratory motor mainly comes from the impact of feeding or increased mechanical friction. If the vibration acceleration amplitude increases, some mechanical energy will inevitably be converted into heat energy. Therefore, if the vibration acceleration amplitude is greater than the reference vibration amplitude, The higher the value, the greater the mechanical loss, the more heat the motor generates, and the higher the temperature of the motor surface. The larger the value, the greater the heat generation intensity of the motor at time t, and it is reasonable for the motor surface temperature to be higher at this time. The smaller the value, the smaller the heat generation intensity of the motor at time t. When the surface temperature of the motor is high at this time, it may be due to a fault or a heat rise caused by dust accumulation.

[0030] It should be noted that in the magnesium powder workshop, as the dust layer on the motor surface gradually increases, the thermal resistance between the motor casing and the environment increases, which means that the heat dissipation of the motor surface temperature becomes worse. Therefore, this invention evaluates the dynamic thermal resistance coefficient at each moment based on the temperature difference between the motor surface temperature and the workshop environment, and inversely infers the degree of dust accumulation on the motor surface. However, it is known that the motor load may increase in a short period of time, which can lead to a large temperature difference between the motor surface temperature and the workshop environment. It is impossible to distinguish whether the temperature rise is caused by dust accumulation or load change. Furthermore, if the motor load suddenly increases, the motor surface temperature will not rise instantly, but will slowly rise after a period of heat accumulation. Therefore, this invention compares the temperature difference between the motor surface temperature and the workshop environment with the average value of the motor's heat generation intensity over a period of time, which can effectively distinguish whether the temperature rise is caused by dust accumulation or load change.

[0031] In this embodiment of the invention, the preset number of historical moments M=20, and the window formed by the t-th moment and the M moments before it is used as the historical window of the t-th moment; Obtain the dynamic thermal resistance coefficient at each moment: ; In the formula, Represents the dynamic heat resistance coefficient at time t; This represents the surface temperature of the motor at time t. The ambient temperature in the workshop at time t represents the ambient temperature at that moment. This represents the average heat generation intensity of the motor across all times in the historical window at time t. To represent preset hyperparameters, in this embodiment of the invention, to avoid the denominator being zero, a preset hyperparameter is used. In other embodiments, implementers may pre-determine specific implementation methods. The value; The formula uses the average heat generation intensity of the motor over a past period as the denominator. The value is used as the numerator; as magnesium powder gradually covers the motor... The value will be The load on the motor remains constant, causing it to rise slowly, resulting in... The higher the value, the greater the difference between the motor surface temperature and the ambient temperature of the workshop. This indicates poorer heat dissipation efficiency on the motor surface and greater dust accumulation. When the motor surface is clean and heat dissipation is good, ... The value will be The smaller the value when the motor load remains constant, the more likely it is to cause... The smaller the value.

[0032] When the motor load suddenly increases (due to increased feed), the average heat intensity generated by the motor over a period of time will gradually rise, and the temperature rise will also gradually increase. The smaller the value.

[0033] S3: Based on the ratio of the change in the heat generation intensity of the motor to the change in the surface temperature of the motor, and the dynamic heat resistance coefficient, obtain the internal fault deviation degree at each moment; based on the internal fault deviation degree and the dynamic heat resistance coefficient, obtain the final internal fault severity at each moment.

[0034] It should be noted that under normal load conditions, changes in the heat generation intensity of the motor will cause corresponding temperature changes. Therefore, the ratio of the temperature change to the change in the heat generation intensity of the motor is relatively low and stable. However, when an internal fault occurs in the motor, the change in the heat generation intensity of the motor is small, and the temperature will rise sharply due to the abnormal internal heat source. Therefore, the ratio will increase significantly. Thus, this invention can obtain the internal fault deviation based on the ratio of the temperature change to the change in the heat generation intensity of the motor. However, simply monitoring temperature changes to obtain the deviation of internal faults is insufficient. If severe dust accumulation obstructs heat dissipation, normal load fluctuations will also cause larger temperature changes due to the dust accumulation on the motor, resulting in a relatively high ratio. Internal faults will also cause larger temperature changes due to the dust accumulation on the motor. Therefore, the ratio needs to be corrected based on the degree of dust accumulation on the motor. The higher the degree of dust accumulation on the motor, the greater the temperature change will be due to poor heat dissipation caused by the dust accumulation. In this case, it is necessary to reduce the ratio of temperature change to the change in heat generation intensity of the motor. This method can automatically offset the heat dissipation lag caused by dust accumulation and accurately pinpoint internal problems.

[0035] In this embodiment of the invention, the internal fault deviation at each moment is obtained: ; In the formula, This represents the internal fault deviation at time t; This represents the heat generation intensity of the motor at time t. This represents the heat generation intensity of the motor at time t-1. This represents the surface temperature of the motor at time t. Represents the surface temperature of the motor at time t-1; || represents the absolute value sign; Represents the dynamic heat resistance coefficient at time t; The reference thermal resistance constant represents the motor under clean conditions; This represents the preset hyperparameters, used to avoid the denominator being zero; The specific method for obtaining the reference thermal resistance constant of the motor under clean conditions is as follows: the motor is running under conditions of no dust accumulation and stable load. The effective value of the motor current and the amplitude of vibration acceleration are collected at any time. The heat generation intensity of the motor at that time is obtained. The ratio of the difference between the motor surface temperature and the workshop ambient temperature at that time to the heat generation intensity of the motor at that time is used as the reference thermal resistance constant of the motor under clean conditions. In the above formula Represents the amount of temperature change; This represents the change in the heat generation intensity of the motor; when the motor's load increases, the change in the heat generation intensity will cause a corresponding temperature change, therefore... The ratio is relatively stable; however, when an internal fault occurs in the motor, the change in the motor's heat generation intensity is small, but the temperature will rise sharply due to the abnormal internal heat source. The ratio will increase significantly; The value represents the dust accumulation correction term, which is applied when the motor is cleaned. and The values ​​are similar, at this time The fact that the value approaches 1 indicates that the temperature change is not caused by dust accumulation in the motor. When there is dust accumulation in the motor Less than ,lead to A value less than 1 indicates that the temperature change may be affected by poor heat dissipation of the motor, leading to misdiagnosis of internal faults. This is because the present invention requires... value pairs Adjustments were made to obtain To offset the lag in heat dissipation caused by dust accumulation, if adjusted... The value is still relatively large, which indicates that the internal fault deviation is greater at time t.

[0036] It should be noted that in actual industrial control, if a motor has an internal fault but a large amount of dust has accumulated on its surface, the heat dissipation will be obstructed, making it difficult for heat to be released. This will cause the heat generated by the fault to accumulate rapidly and may cause a fire in a short period of time. Judging whether to shut down the machine based solely on the internal fault deviation is easy to miss early minor faults, while looking only at the temperature rise may cause false alarms due to dust accumulation. Therefore, it is necessary to construct a fusion index that considers both the internal fault deviation and the dynamic thermal resistance coefficient. The final internal fault severity obtained by combining the two should be used as the sole basis for shutdown, so as to ensure that neither early faults are missed nor the machine is shut down due to ordinary temperature rise caused by dust accumulation.

[0037] In this embodiment of the invention, the final internal fault severity at each moment is obtained: ; In the formula, This represents the severity of the final internal fault at time t. This represents the internal fault deviation at time t; This represents the internal fault deviation threshold; Represents the dynamic heat resistance coefficient at time t; This represents the maximum threshold for dust accumulation. Representing the fault risk coefficient, in this embodiment of the invention, a preset value is defined. In other embodiments, implementers may pre-determine specific implementation methods. The value of; in this embodiment of the invention, a preset internal fault deviation threshold is defined. Dust accumulation limit threshold In other embodiments, implementers may pre-set according to specific implementation conditions. as well as The value; A higher value indicates a fault inside the motor. In this case, if the motor has severe dust accumulation, The larger the value, the more likely it is to cause... The higher the value, the faster a serious or minor fault can evolve into a major fire; if the motor does not have ash accumulation... The smaller the value, the better. The value depends primarily on the direct fault item.

[0038] S4: Trigger corresponding dust removal prompts or shutdown commands based on the severity of the final internal fault and the dynamic heat resistance coefficient.

[0039] In this embodiment of the invention, a preset fault threshold T1=0.8 is set. If the final internal fault severity at time t is greater than or equal to the fault threshold, the system determines it to be a high-risk fault state, immediately outputs a shutdown signal to cut off the motor power supply, and issues a red audible and visual alarm to indicate that the motor may have faults such as inter-turn short circuit and obstructed heat dissipation. Get dust removal threshold , The reference thermal resistance constant represents the motor's clean state. If the final internal fault severity at time t is less than the fault threshold, but the dynamic thermal resistance at time t is greater than or equal to the dust removal threshold, the system determines that the heat dissipation is poor and issues a yellow warning signal. At this time, the machine is not forced to stop, but the staff is prompted to clean the motor surface after the current screening task is completed.

[0040] Figure 2 The diagram illustrates the decoupling effect of dust accumulation and fault characteristics in this invention. It shows the changing trends of two intermediate process indicators. The dynamic thermal resistance coefficient increases monotonically over time, accurately reflecting the process of increasingly thick dust accumulation on the motor surface. The internal fault deviation index remains stable (close to zero) during the dust accumulation stage, unaffected by temperature rise, and only shows a step increase after the fault occurs at 70 minutes. This invention successfully decomposes the mixed temperature signal into dust accumulation indicators representing the external environment and fault indicators representing the equipment itself, demonstrating the technical effect of feature decoupling. Figure 3This graph compares the diagnostic effectiveness of the present invention with that of existing technologies under dust accumulation and fault conditions. It is a dual Y-axis line graph, with the horizontal axis representing equipment operating time. Figure 3 The existing technology for monitoring the surface temperature of the motor during equipment operation shows that in the 30-70 minute range, the motor is in the dust accumulation stage. Due to the magnesium powder covering, heat dissipation deteriorates, the curve rises slowly and exceeds the traditional temperature alarm threshold, causing an alarm shutdown for cleaning, which seriously affects production efficiency (at this time, the motor is actually healthy inside). However, the trajectory of the final internal fault severity calculated by this invention shows that in the dust accumulation stage, although the temperature rises, the final internal fault severity remains in a low safe zone and does not trigger an alarm shutdown. In the 70-100 minute range, the internal fault occurs, and the final internal fault severity spikes vertically, exceeding the fault threshold of 0.8 of this invention. The system determines this as a high-risk fault state and immediately outputs a shutdown signal to cut off the motor power.

[0041] This invention also discloses a fault diagnosis system for a vibrating motor of a magnesium powder screening equipment, including a processor and a memory. The memory stores computer program instructions, and when the computer program instructions are executed by the processor, a fault diagnosis method for a vibrating motor of a magnesium powder screening equipment provided by this invention is implemented.

[0042] The system also includes other components well-known to those skilled in the art, such as communication buses and communication interfaces, the setup and functions of which are known in the art and will not be described in detail here. In this invention, the aforementioned memory can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0043] The above are all preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Therefore, all equivalent changes made in accordance with the structure, shape and principle of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A method of diagnosing a fault of a vibration motor of a magnesium powder sieving apparatus, characterized by, The method comprises the steps of: Collecting multi-dimensional operation data of the explosion-proof motor of the magnesium powder screening equipment, wherein the multi-dimensional operation data comprises an effective value of motor current, vibration acceleration amplitude of a motor casing, motor surface temperature, and workshop ambient temperature; According to changes in the effective value of motor current and the vibration acceleration amplitude, obtaining motor heat production intensity for representing theoretical heat production intensity of the motor; based on differences between the motor surface temperature and the workshop ambient temperature and an average value of motor heat production intensity in a historical time period, obtaining a dynamic heat resistance coefficient for representing dust accumulation degree of the motor; based on a ratio of a motor surface temperature change amount at adjacent time points to a motor heat production intensity change amount and the dynamic heat resistance coefficient, obtaining an internal fault deviation degree; According to the internal fault deviation degree and the dynamic heat resistance coefficient, constructing a final internal fault hazard degree index; Comparing the final internal fault hazard degree index with a preset fault threshold value to control the explosion-proof motor to execute shutdown alarm; if the shutdown alarm is not executed, comparing the dynamic heat resistance coefficient with a preset dust removal threshold value to control the explosion-proof motor to issue a dust removal early warning.

2. The method of claim 1, wherein the method further comprises: The method for obtaining the motor heat production intensity comprises the steps of: ； In the formula, represents the motor heat generation intensity at the tth moment; represents the motor current effective value at the tth moment; represents the rated current constant of the motor; represents the vibration acceleration amplitude at the tth moment; represents the reference vibration amplitude of the motor in the fault-free state;||represents the absolute value symbol; represents the logarithmic function; represents the current heat generation weight; represents the mechanical vibration heat generation weight.

3. The method of claim 1, wherein the method further comprises: The method for obtaining the dynamic heat resistance coefficient comprises the steps of: ； In the formula, represents the dynamic thermal resistance coefficient at the tth moment; represents the motor surface temperature at the tth moment; represents the workshop environment temperature at the tth moment; represents the average of the motor heat generation intensity at all moments in the history window at the tth moment; represents a preset hyperparameter.

4. The method of claim 1, wherein the method further comprises: The method for obtaining the internal fault deviation degree comprises the steps of: ； In the formula, represents the internal fault deviation at the tth moment; represents the motor heat generation intensity at the tth moment; represents the motor heat generation intensity at the t-1th moment; represents the motor surface temperature at the tth moment; represents the motor surface temperature at the t-1th moment;||represents the absolute value symbol; represents the dynamic heat resistance coefficient at the tth moment; represents the reference heat resistance coefficient constant under the motor cleaning state; represents the preset hyperparameter.

5. The method of claim 1, wherein the method further comprises: The method for constructing the final internal fault hazard degree index according to the internal fault deviation degree and the dynamic heat resistance coefficient comprises the steps of: ； In the formula, represents the final internal fault hazard degree at the tth moment; represents the internal fault deviation degree at the tth moment; represents the internal fault deviation degree threshold value; represents the dynamic heat resistance coefficient at the tth moment; represents the soot deposition degree limit threshold value; represents the fault risk coefficient.

6. The method of claim 1, wherein the method further comprises: The method for comparing the final internal fault hazard degree index with the preset fault threshold value to control the explosion-proof motor to execute shutdown alarm comprises the steps of: A preset fault threshold value T1, if the final internal fault hazard degree at the tth time point is greater than or equal to the fault threshold value, the system determines that it is in a high-risk fault state, immediately outputs a shutdown signal to cut off the power supply of the motor, and issues a red audible and light alarm.

7. The method of claim 1 or 6, wherein the method is characterized by: The method for comparing the dynamic heat resistance coefficient with the preset dust removal threshold value to control the explosion-proof motor to issue a dust removal early warning if the shutdown alarm is not executed comprises the steps of: Obtaining a dust removal threshold value; if the final internal fault hazard degree at the tth time point is less than the fault threshold value, but the dynamic heat resistance coefficient at the tth time point is greater than or equal to the dust removal threshold value, the system determines that it is in a poor heat dissipation state, issues a yellow early warning signal, does not force shutdown, and prompts the staff to clean the motor surface after the completion of the current screening task.

8. The method of claim 1, wherein the method further comprises: The method for collecting the multi-dimensional operation data of the explosion-proof motor of the magnesium powder screening equipment comprises the steps of: Installing a mutual inductor in a control cabinet of the explosion-proof vibration motor of the magnesium powder screening machine to collect instantaneous values of motor stator three-phase currents at each time point, performing square average calculation on the collected instantaneous values of motor stator three-phase currents to obtain the effective value of motor current at each time point; An IEPE piezoelectric acceleration sensor is fixed on the end cover of the motor casing by magnetic attraction or bolts to collect vibration acceleration amplitudes at each time point; a platinum resistance is pasted on the middle part of the motor casing to collect motor surface temperatures at each time point; an ambient temperature sensor is deployed inside the screening workshop to collect workshop ambient temperatures at each time point.

9. The method of claim 7, wherein the method further comprises: determining whether the vibration motor is in a normal state or an abnormal state based on the comparison result. The method for obtaining the dust removal threshold value comprises the steps of: soot threshold , represents a constant of the reference thermal resistance factor in the state of motor cleaning.

10. A fault diagnosis system for a vibration motor of a magnesium powder screening apparatus, characterized by, The method comprises the steps of: A processor and a memory, the memory storing computer program instructions which, when executed by the processor, implement a fault diagnosis method of a vibration motor of a magnesium powder screening device according to any one of claims 1-9.

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