A fault diagnosis method and system for a vibration motor of a magnesium powder screening device

Abstract

The present application relates to the technical field of data processing, and more particularly to a fault diagnosis method and system for a vibrating motor of a magnesium powder screening device. The method comprises the steps of: collecting multi-dimensional operation data of the vibrating motor at each time, calculating the motor heat production intensity at each time according to the motor current effective value and the vibration acceleration amplitude; obtaining a dynamic heat resistance coefficient according to the ratio relationship between the temperature difference of the motor surface and the workshop environment and the motor heat production intensity, and obtaining an internal fault deviation degree based on the change rate of the motor surface temperature data within a short time; obtaining the final internal fault hazard degree based on the amplification effect of the dynamic heat resistance coefficient on the internal fault deviation degree, and triggering a corresponding dust removal prompt or a shutdown instruction according to the final internal fault hazard degree and the dynamic heat resistance coefficient. The present application effectively reduces the false shutdown caused by dust accumulation temperature rise and improves the accuracy of internal fault alarm.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a fault diagnosis method and system for a vibrating motor in a magnesium powder screening equipment. Background Technology

[0002] The core drive of screening equipment (such as linear vibrating screens or rotary vibrating screens) in magnesium powder production lines is an explosion-proof vibrating motor. As a power source, the explosion-proof vibrating motor operates in a high-frequency vibration, variable load, and high-dust environment for a long time. Magnesium powder itself has the characteristics of low density, poor flowability, and flammability and explosiveness. Fine dust is easily generated during the screening process. If the dust comes into contact with high-temperature components, it may cause combustion or even explosion. Therefore, in order to prevent magnesium powder combustion or explosion accidents caused by motor overheating, it is necessary to monitor the motor temperature. 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 malfunctioned and an alarm is immediately triggered to stop the machine.

[0003] However, in the specific scenario of magnesium powder screening, there is a serious problem of feature aliasing, which leads to an extremely high false alarm rate or missed core faults. It is known that magnesium powder is very easy to deposit on the surface of the vibrating motor. This deposit will cause the motor's heat dissipation capacity to drop significantly, and the surface temperature of the motor will gradually rise under normal operating conditions. This will make it impossible for the existing single temperature threshold to distinguish whether this temperature rise is caused by motor dust accumulation or internal faults (such as inter-turn short circuits or bearing friction). If the alarm and shutdown for dust cleaning are frequently triggered due to dust accumulation and temperature rise, it will seriously affect production efficiency.

[0004] Furthermore, when the surface of the motor is covered with a thick layer of dust, the extra heat generated by early minor faults inside the motor will be superimposed on the temperature rise caused by the dust accumulation. Due to the thermal resistance effect of the dust layer, the heat generated by internal faults is delayed and attenuated in its transfer to the surface, which can easily be mistaken for the temperature rise caused by dust accumulation, thus missing the best time to deal with the fault. Once the internal temperature exceeds the ignition point, it can easily lead to catastrophic consequences. Summary of the Invention

[0005] To address the technical problem that dust accumulation reduces the heat dissipation capacity of motors, causing their temperature to gradually rise, masking and delaying the heat generated by internal faults, leading to frequent false alarms or missed alarms in single-threshold temperature alarms, and thus affecting production safety and efficiency, this invention provides a fault diagnosis method and system for the vibrating motor of a magnesium powder screening equipment.

[0006] In a first aspect, the present invention provides a fault diagnosis method for a vibrating motor of a magnesium powder screening equipment, employing the following technical solution:

[0007] A fault diagnosis method for a vibrating motor in a magnesium powder screening device includes the following steps:

[0008] Collect multi-dimensional operating data of the explosion-proof motor of the magnesium powder screening equipment. The multi-dimensional operating data includes the effective value of the motor current, the vibration acceleration amplitude of the motor housing, the surface temperature of the motor, and the ambient temperature of the workshop.

[0009] The motor heat generation intensity is obtained based on the changes in the effective value of the motor current and the amplitude of vibration acceleration, which is used to characterize the theoretical heat generation intensity of the motor; the dynamic heat resistance coefficient is obtained based on the difference between the motor surface temperature and the workshop ambient temperature and the average value of the motor heat generation intensity over a historical period, which is used to characterize the degree of dust accumulation in the motor; the internal fault deviation is obtained based on the ratio of the change in motor surface temperature to the change in motor heat generation intensity at adjacent times and the dynamic heat resistance coefficient.

[0010] The final internal fault severity index is constructed based on the internal fault deviation and dynamic thermal resistance coefficient.

[0011] The final internal fault severity index is compared with a preset fault threshold, and the explosion-proof motor is controlled to perform a shutdown alarm; if the shutdown alarm is not performed, the dynamic heat resistance coefficient is compared with a preset dust removal threshold, and the explosion-proof motor is controlled to issue a dust removal warning.

[0012] The innovation of this invention lies in the following: First, by introducing current and vibration data to calculate the heat generation intensity of the motor, it can quantify the heating trend of the motor from the perspective of energy input and identify normal temperature rise caused by load changes (current, vibration). Furthermore, by utilizing the ratio of the temperature difference between the motor surface and the workshop environment to the motor's heat generation intensity, a dynamic thermal resistance coefficient is obtained, which reflects the degree of dust accumulation on the motor surface. Utilizing the characteristic of the temperature change rate caused by changes in the motor's heat generation intensity, the internal fault deviation can be calculated, enabling the sensitive detection of abnormal internal heat sources. Furthermore, by productizing and coupling the degree of dust accumulation with the internal fault deviation, the severity of internal faults and the high-risk condition of severe dust accumulation can be amplified. Finally, based on the final severity of the internal fault and the dynamic thermal resistance coefficient, a corresponding dust removal prompt or shutdown command is triggered, accurately providing early warning and shutdown for internal motor faults, and avoiding frequent alarm shutdowns for dust removal due to temperature rise caused by dust accumulation, thus reducing production efficiency.

[0013] Preferably, obtaining the heat generation intensity of the motor includes:

[0014] ;

[0015] 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. A constant representing the rated current of the motor; 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; This represents the weight of heat generation from mechanical vibration.

[0016] 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.

[0017] Preferably, obtaining the dynamic thermal resistance coefficient includes:

[0018] ;

[0019] 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.

[0020] 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.

[0021] Preferably, obtaining the internal fault deviation includes:

[0022] ;

[0023] 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.

[0024] 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.

[0025] Preferably, the step of constructing the final internal fault severity index based on the internal fault deviation and dynamic thermal resistance coefficient includes:

[0026] ;

[0027] 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. This represents the failure risk coefficient.

[0028] By productizing and coupling the degree of dust accumulation with the deviation of internal faults, accurate early warning of internal faults in the motor can be provided.

[0029] Preferably, the step of comparing the final internal fault severity index with a preset fault threshold and controlling the explosion-proof motor to execute a shutdown alarm includes:

[0030] A preset fault threshold T1 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.

[0031] Preferably, if a shutdown alarm is not triggered, comparing the dynamic thermal resistance coefficient with a preset dust removal threshold and controlling the explosion-proof motor to issue a dust removal warning includes:

[0032] Obtain the dust removal threshold; if the final internal fault severity at time t is less than the fault threshold, but the dynamic thermal resistance coefficient at time t is greater than or equal to the dust removal threshold, the system determines that the heat dissipation is in a poor state, issues a yellow warning signal, does not force a shutdown, and prompts the staff to clean the motor surface after the current round of screening task is completed.

[0033] It can decisively shut down the machine in high-risk situations to prevent magnesium powder explosions, and can also issue a dust removal warning when there is only ash accumulation but no internal malfunction, thus avoiding unnecessary shutdowns and production interruptions.

[0034] Preferably, the multi-dimensional operating data of the explosion-proof motor of the magnesium powder screening equipment includes:

[0035] A current transformer 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 three-phase stator current of the motor at each moment. The square average of the collected instantaneous values ​​of the three-phase stator current of the motor is calculated to obtain the effective value of the motor current at each moment.

[0036] The vibration acceleration amplitude at each moment is collected by an IEPE piezoelectric accelerometer fixed to the end cover of the motor housing by magnetic attraction or bolts; the surface temperature of the motor at each moment is collected by a platinum resistance thermometer attached to the middle of the motor housing; and the ambient temperature sensor is deployed in the screening workshop to collect the ambient temperature of the workshop at each moment.

[0037] Preferably, obtaining the dust removal threshold includes:

[0038] Dust removal threshold , This represents the baseline thermal resistance constant of the motor under clean conditions.

[0039] Secondly, the present invention provides a fault diagnosis system for the vibration motor of a magnesium powder screening equipment, which adopts the following technical solution:

[0040] A fault diagnosis system for a vibrating motor of a magnesium powder screening equipment includes a processor and a memory. The memory stores computer program instructions, and when the computer program instructions are executed by the processor, the aforementioned fault diagnosis method for the vibrating motor of a magnesium powder screening equipment is implemented.

[0041] By adopting the above technical solution, a computer program is generated for the fault diagnosis method of the vibrating motor of the magnesium powder screening equipment, and stored in the memory so that it can be loaded and executed by the processor. The terminal equipment is then made based on the memory and the processor for convenient use.

[0042] This invention has the following technical effects: It calculates the heat generation intensity of the motor by introducing current and vibration data, identifying normal temperature rises caused by changes in motor load. Furthermore, it obtains a dynamic thermal resistance coefficient by utilizing the ratio of the temperature difference between the motor surface and the workshop environment to the motor's heat generation intensity, reflecting the degree of dust accumulation on the motor surface. By utilizing the characteristic of the temperature change rate caused by changes in the motor's heat generation intensity, it obtains the internal fault deviation, enabling the sensitive detection of internal heat source anomalies. Furthermore, by productizing and coupling the degree of dust accumulation with the internal fault deviation, it significantly amplifies the severity of high-risk operating conditions with internal faults and severe dust accumulation. Finally, based on the final severity of the internal fault and the dynamic thermal resistance coefficient, it triggers corresponding dust removal prompts or shutdown commands, accurately providing early warning and shutdown for internal motor faults, and avoiding frequent alarm shutdowns for dust removal due to temperature rise caused by dust accumulation, thus reducing production efficiency. Attached Figure Description

[0043] Figure 1 This is a flowchart of a method for diagnosing the fault of a vibrating motor in a magnesium powder screening equipment according to an embodiment of the present invention;

[0044] Figure 2 A diagram illustrating the decoupling effect of dust accumulation and fault characteristics in this invention;

[0045] Figure 3 This diagram shows a comparison of the diagnostic effectiveness of the present invention and existing technologies under conditions of dust accumulation and malfunction. Detailed Implementation

[0046] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0047] This invention discloses a fault diagnosis method for the vibration motor of a magnesium powder screening equipment, referring to... Figure 1 This includes steps S1-S4:

[0048] S1: Collect multi-dimensional operating data of the vibration motor at each moment. The multi-dimensional operating data includes the effective value of the motor current, the amplitude of vibration acceleration, the surface temperature of the motor, and the ambient temperature of the workshop.

[0049] In this embodiment of the invention, a current transformer 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 three-phase stator current of the motor at each moment. The square mean of the collected instantaneous values ​​of the three-phase stator current is calculated to obtain the effective value of the motor current at each moment. The square mean (RMS) is a common existing technology used in electrical engineering to obtain the effective value of alternating current, which will not be elaborated on in this embodiment. The vibration acceleration amplitude at each moment is collected by an IEPE piezoelectric accelerometer fixed to the end cover (near the bearing seat) of the motor housing by magnetic attraction or bolts. The surface temperature of the motor at each moment is collected by a platinum resistance thermometer (such as PT100) attached to the middle of the motor housing. An ambient temperature sensor is deployed in the screening workshop to collect the ambient temperature of the workshop at each moment.

[0050] When the vibration motor is running normally, the IEPE piezoelectric accelerometer, which is magnetically or bolted to the end cover of the motor housing (near the bearing seat), collects the vibration acceleration amplitude at any time as the reference vibration amplitude of the motor under fault-free conditions.

[0051] It should be noted that the effective value of motor current, vibration acceleration amplitude, motor surface temperature, and workshop ambient temperature are synchronized in sequence.

[0052] S2: Calculate the motor heat generation intensity, which characterizes the heat generation potential of the internal load of the motor, based on the effective value of the motor current and the amplitude of the vibration acceleration; obtain the dynamic thermal resistance coefficient at each moment based on the motor surface temperature, the workshop ambient temperature, and the motor heat generation intensity, which is used to characterize the degree of dust accumulation on the motor surface.

[0053] It should be noted that in magnesium powder screening scenarios, there are usually three reasons for the motor surface temperature to rise. If the current increases due to a large feed rate or the motor is under heavy vibration load, the motor will heat up, which is a normal load-induced temperature rise. If the motor load remains unchanged, but the motor surface is covered with a layer of magnesium powder, it will cause poor heat dissipation, which is a temperature rise caused by dust accumulation. If the motor load remains unchanged, but there is an internal short circuit or bearing wear, resulting in an additional abnormal heat source, this is a temperature rise caused by a fault.

[0054] Therefore, this invention needs to combine the collected effective value of motor current and the change of vibration acceleration amplitude to obtain the motor heat generation intensity at each moment. The motor heat generation intensity can reflect the load change of the motor at each moment and is used to determine whether the temperature rise is a normal load effect or a fault or dust accumulation effect.

[0055] In this embodiment of the invention, the heat generation intensity of the motor at each moment is obtained:

[0056] ;

[0057] 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;

[0058] 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;

[0059] 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.

[0060] 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.

[0061] 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.

[0062] 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 heat generation intensity over a period of time, which can effectively distinguish whether the temperature rise is caused by dust accumulation or load change.

[0063] 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;

[0064] Obtain the dynamic thermal resistance coefficient at each moment:

[0065] ;

[0066] 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;

[0067] 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.

[0068] 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.

[0069] 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.

[0070] 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.

[0071] 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.

[0072] In this embodiment of the invention, the internal fault deviation at each moment is obtained:

[0073] ;

[0074] 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;

[0075] 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.

[0076] 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;

[0077] 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.

[0078] 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.

[0079] 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.

[0080] In this embodiment of the invention, the final internal fault severity at each moment is obtained:

[0081] ;

[0082] In the formula, This represents the severity of the final internal failure 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... 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;

[0083] 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.

[0084] S4: Trigger corresponding dust removal prompts or shutdown commands based on the severity of the final internal fault and the dynamic heat resistance coefficient.

[0085] 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.

[0086] Obtain the 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.

[0087] 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.

[0088] Figure 3 This 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.

[0089] 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.

[0090] 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.

[0091] 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 fault diagnosis method for a vibrating motor in a magnesium powder screening equipment, characterized in that, include: Collect multi-dimensional operating data of the explosion-proof motor of the magnesium powder screening equipment. The multi-dimensional operating data includes the effective value of the motor current, the vibration acceleration amplitude of the motor housing, the surface temperature of the motor, and the ambient temperature of the workshop. The heat generation intensity of the motor is obtained based on the changes in the effective value of the motor current and the amplitude of vibration acceleration, which is used to characterize the theoretical heat generation intensity of the motor, including: , This represents the heat generation intensity of the motor at time t. This represents the effective value of the motor current at time t. This represents the rated current constant of the motor. This represents the amplitude of the vibration acceleration at time t. This represents the reference vibration amplitude of the motor under fault-free conditions, where || represents the absolute value sign. Represents the logarithmic function. Represents the weight of heat generated by current. Represents the weight of heat generation from mechanical vibration; Based on the difference between the motor surface temperature and the workshop ambient temperature, and the average heat generation intensity of the motor over a historical period, a dynamic thermal resistance coefficient is obtained to characterize the degree of dust accumulation in the motor, including: , Represents the dynamic heat resistance coefficient at time t. This represents the surface temperature of the motor at time t. This represents the ambient temperature in the workshop at time t. This represents the average heat generation intensity of the motor across all times in the historical window at time t. Represents preset hyperparameters; Based on the ratio of the change in motor surface temperature to the change in motor heat generation intensity at adjacent time points, and the dynamic heat resistance coefficient, the internal fault deviation is obtained, including: , This represents the internal fault deviation 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-1. The reference thermal resistance constant represents the motor under clean conditions; The final internal fault severity index is constructed based on the internal fault deviation and dynamic thermal resistance coefficient. The final internal fault severity index is compared with a preset fault threshold, and the explosion-proof motor is controlled to perform a shutdown alarm; if the shutdown alarm is not performed, the dynamic heat resistance coefficient is compared with a preset dust removal threshold, and the explosion-proof motor is controlled to issue a dust removal warning.

2. The fault diagnosis method for the vibration motor of a magnesium powder screening equipment according to claim 1, characterized in that, The method 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; This represents the internal fault deviation threshold; Represents the dynamic heat resistance coefficient at time t; This represents the maximum threshold for dust accumulation. This represents the failure risk coefficient.

3. The fault diagnosis method for the vibrating motor of a magnesium powder screening equipment according to claim 1, characterized in that, The step of comparing the final internal fault severity index with a preset fault threshold and controlling the explosion-proof motor to execute a shutdown alarm includes: A preset fault threshold T1 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.

4. A fault diagnosis method for a vibrating motor of a magnesium powder screening equipment according to claim 1 or 3, characterized in that, If the shutdown alarm is not executed, the dynamic thermal resistance coefficient is compared with the preset dust removal threshold, and the explosion-proof motor is controlled to issue a dust removal warning, including: Obtain the dust removal threshold; if the final internal fault severity at time t is less than the fault threshold, but the dynamic thermal resistance coefficient at time t is greater than or equal to the dust removal threshold, the system determines that the heat dissipation is in a poor state, issues a yellow warning signal, does not force a shutdown, and prompts the staff to clean the motor surface after the current round of screening task is completed.

5. The fault diagnosis method for the vibrating motor of a magnesium powder screening equipment according to claim 1, characterized in that, The multi-dimensional operating data of the explosion-proof motor of the magnesium powder screening equipment includes: A current transformer 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 three-phase stator current of the motor at each moment. The square average of the collected instantaneous values ​​of the three-phase stator current of the motor is calculated to obtain the effective value of the motor current at each moment. The vibration acceleration amplitude at each moment is collected by an IEPE piezoelectric accelerometer fixed to the end cover of the motor housing by magnetic attraction or bolts; the surface temperature of the motor at each moment is collected by a platinum resistance thermometer attached to the middle of the motor housing; and the ambient temperature sensor is deployed in the screening workshop to collect the ambient temperature of the workshop at each moment.

6. The fault diagnosis method for the vibrating motor of a magnesium powder screening equipment according to claim 4, characterized in that, The process of obtaining the dust removal threshold includes: Dust removal threshold , This represents the baseline thermal resistance constant of the motor under clean conditions.

7. A fault diagnosis system for a vibrating motor of a magnesium powder screening equipment, characterized in that, include: A processor and a memory, the memory storing computer program instructions, which, when executed by the processor, implement a fault diagnosis method for a vibrating motor of a magnesium powder screening equipment according to any one of claims 1-6.

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