Bearing retainer state monitoring device, method, equipment, medium and product
By installing a friction sensing module of a finger electrode plate and a dielectric ring on the rolling bearing, combined with vibration signal processing, the bearing cage status is monitored in real time, and the problem of difficulty in monitoring the state of the rolling bearing cage in the prior art is solved, and high-precision and low-cost fault identification is achieved.
Patent Information
- Application Number
- CN202510859625.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-25
- Publication Date
- 2025-08-15
AI Technical Summary
The prior art is difficult to monitor the status of rolling bearing cages in real time, and traditional methods can damage bearing structural integrity and difficult to extract early failure information.
Multivariate information sensing unit, including a cross finger electrode plate and a dielectric ring, generates alternating current signals through frictional power generation effect, and monitors the state of the bearing cage with vibration signals, and uses MCU chip to process and transmits wirelessly to the upper computer.
Real-time monitoring of the bearing cage status is achieved, monitoring accuracy and efficiency is improved, cost is reduced, and the bearing structural integrity is not damaged, and faults can be identified in advance.
Smart Images
Figure CN120489558A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of intelligent bearing technology, and in particular to a bearing retainer condition monitoring device, method, equipment, medium and product. Background Art
[0002] Rolling bearings, as core components in mechanical equipment, are widely used in motors, machining equipment, aerospace, and other fields. Monitoring the health status of rolling bearings is crucial to ensuring the quality of mechanical manufacturing and the safe operation of mechanical systems. The sliding of rolling elements and the unstable movement of the cage are the most common failure modes, which can cause damage to the rolling elements and inner and outer raceways, wear and even fracture of the cage, reduce the rotational accuracy of the bearing, and thus seriously affect the working performance and service life of the bearing. Therefore, monitoring the sliding of the bearing and the stability of the cage is a key direction for the development of intelligent high-end bearings. Given that the bearing cage is a dynamically operating component, the technical challenge lies in how to directly obtain information on its motion state.
[0003] Due to the structural limitations of bearings, non-contact methods are often not feasible for monitoring their internal conditions. Status data can only be collected by installing sensors between or directly on the bearing's moving parts. Traditional monitoring methods, such as installing fiber optic sensors on the bearing or eddy current sensors on the sides of the cage, can compromise the bearing's structural integrity and compactness. Traditional vibration acquisition methods typically require complex transmission paths to capture the cage's vibrations. This significantly weakens the cage's original vibration signature, making it difficult to extract early fault information. Summary of the Invention
[0004] The purpose of this application is to provide a bearing cage state monitoring device, method, equipment, medium and product, which can monitor the state of the bearing cage in real time during rolling.
[0005] To achieve the above objectives, this application provides the following solutions:
[0006] In a first aspect, the present application provides a bearing cage state monitoring device, the bearing cage state monitoring device being used to monitor the state of the bearing cage during the rotation of a rolling bearing; the device comprising: a multi-information sensing unit and a host computer; the multi-information sensing unit being wirelessly connected to the host computer;
[0007] The multi-information sensing unit includes a multi-signal acquisition and processing module and a triboelectric sensing module; the triboelectric sensing module includes an interdigitated electrode plate and a dielectric ring;
[0008] The multi-signal acquisition and processing module is fixed to one side of the bearing holder; the dielectric ring is fixed to the bearing seat; the interdigital electrode plate is fixed to the other side of the bearing holder; the interdigital electrode plate is connected to the multi-signal acquisition and processing module; the bearing seat is used to fix the rolling bearing; the rolling bearing is used to drive the bearing holder to rotate;
[0009] The interdigital electrode plate is paired with the dielectric ring to generate an AC signal during the rotation of the bearing retainer; the multi-signal acquisition and processing module is used to acquire and process the AC signal and the vibration signal;
[0010] The host computer is used to determine the state of the bearing retainer based on the alternating current signal and the vibration signal.
[0011] Optionally, the multi-signal acquisition and processing module includes: an MCU chip, a vibration sensor, and a triboelectric signal receiving submodule;
[0012] The vibration sensor and the triboelectric signal receiving submodule are respectively connected to the MCU chip; the MCU chip is wirelessly connected to the host computer;
[0013] The vibration sensor is used to obtain the vibration signal;
[0014] The triboelectric signal receiving submodule is used to obtain the AC signal;
[0015] The MCU chip is used to process the AC power signal and the vibration signal and transmit the processed AC power signal and vibration signal to the host computer.
[0016] Optionally, the MCU chip, the vibration sensor and the triboelectric signal receiving submodule are structured to form a circuit board.
[0017] In a second aspect, the present application provides a bearing retainer condition monitoring method, comprising:
[0018] Acquiring vibration signals and alternating current signals in real time; the vibration signal is generated by the bearing retainer rotating as the rolling bearing rotates; the alternating current signal is generated on the interdigital electrode plates by the frictional electrification effect and electrostatic induction generated between the dielectric ring and the interdigital electrode plates due to the rotation of the rolling bearing;
[0019] obtaining a slip rate of the bearing cage based on the AC signal;
[0020] Based on the vibration signal, a rotational health state of the bearing cage is determined.
[0021] Optionally, obtaining the slip rate of the bearing retainer based on the AC signal includes:
[0022] Performing a Fourier transform on the AC signal to extract a characteristic frequency of the AC signal;
[0023] The slip rate of the bearing retainer is obtained based on the characteristic frequency of the alternating current signal.
[0024] Optionally, the process of obtaining the slip rate of the bearing retainer based on the characteristic frequency of the alternating current signal includes:
[0025] Using the formula determining an actual rotational speed of the bearing cage based on a characteristic frequency of the AC signal;
[0026] Where n c Indicates the actual speed of the bearing cage, f sig Indicates the characteristic frequency of the AC signal, N e Indicates the number of teeth of the interdigitated electrode plate;
[0027] Using the formula Determine the theoretical speed of the bearing cage;
[0028] Where n bm Indicates the theoretical speed of the bearing cage, ω i Indicates the speed of the bearing inner ring, D indicates the ball diameter, d m represents the bearing pitch diameter, and α0 represents the bearing contact angle;
[0029] Using the formula determining a slip rate of the bearing cage based on an actual rotational speed of the bearing cage and a theoretical rotational speed of the bearing cage;
[0030] Where r sk Indicates the slip rate of the bearing cage.
[0031] Optionally, a weak signal extraction fault diagnosis method is used to determine the rotational health state of the bearing retainer based on the vibration signal.
[0032] In a third aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of any one of the above-described bearing retainer condition monitoring methods.
[0033] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the above-mentioned bearing retainer condition monitoring methods.
[0034] In a fifth aspect, the present application provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of any one of the above-mentioned bearing retainer condition monitoring methods.
[0035] According to the specific embodiments provided in this application, this application has the following technical effects:
[0036] The present application provides a bearing retainer status monitoring device, method, equipment, medium and product. By fixing a dielectric ring on a bearing seat, a forked electrode plate is fixed on the other side of the bearing retainer, and the bearing seat fixes a rolling bearing, the rolling bearing drives the bearing retainer to rotate when it is running, so that the bearing retainer rotates around the bearing axis at its characteristic speed. The forked electrode plate and the dielectric ring rotate relative to each other, generating a friction electrification effect and electrostatic induction on the surface of the electrode plate, thereby generating an AC signal, which provides favorable conditions for the bearing retainer status monitoring. The multi-signal acquisition and processing module acquires and processes the AC signal and the vibration signal generated during the rotation of the bearing retainer, and transmits them wirelessly to the host computer. The host computer determines the status of the bearing retainer based on the AC signal and the vibration signal. It can collect, process and transmit the AC signal and the vibration signal in real time, and provide feedback on the vibration of the bearing retainer when rolling, thereby improving the applicability and information sensing accuracy of the device. It has the advantages of high monitoring accuracy, high real-time performance, and early fault detection. Moreover, by simply adding a multi-signal acquisition and processing module and a friction electric sensing module to the rolling bearing, it is possible to obtain in real time the vibration signal generated by the bearing cage during rolling and the AC signal generated by the friction between the interdigital electrode plate and the dielectric ring during the cage rolling, thereby reducing the cost of bearing cage status monitoring and improving monitoring efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0038] Figure 1 This is an assembly diagram of a multi-information sensing unit in a bearing retainer condition monitoring device provided in one embodiment of the present application;
[0039] Figure 2 A schematic structural diagram of a multi-information sensing unit in a bearing cage condition monitoring device provided in one embodiment of the present application;
[0040] Figure 3 A schematic diagram of the structure of a multi-signal acquisition and processing module provided in one embodiment of the present application;
[0041] Figure 4 A schematic diagram of a dielectric ring and an interdigitated electrode plate provided in one embodiment of the present application;
[0042] Figure 5 A schematic diagram of the rolling bearing structure provided in one embodiment of the present application;
[0043] Figure 6 This is a waveform diagram of a vibration signal in the x-direction at a rolling bearing speed of 500 rpm provided in one embodiment of the present application;
[0044] Figure 7 This is a waveform diagram of a vibration signal in the y direction at a rolling bearing speed of 500 rpm provided in one embodiment of the present application;
[0045] Figure 8 This is a waveform diagram of a vibration signal in the z direction at a rolling bearing speed of 500 rpm provided in one embodiment of the present application;
[0046] Figure 9 This is a waveform diagram of an AC signal at 300 rpm for a rolling bearing according to an embodiment of the present application;
[0047] Figure 10 A schematic diagram of the structure of a computer device provided in one embodiment of the present application.
[0048] Figure numerals: 1-interdigitated electrode plate, 2-dielectric ring, 3-bearing retainer, 4-multi-signal acquisition and processing module, 5-rolling bearing, 41-MCU chip, 42-vibration sensor, 43-triboelectric signal receiving submodule, 51-metal bearing inner ring, 52-metal bearing outer ring, 53-rolling element. DETAILED DESCRIPTION
[0049] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.
[0050] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.
[0051] In an exemplary embodiment, Figure 1 and Figure 2As shown, a bearing cage state monitoring device is provided. The bearing cage state monitoring device is used to monitor the state of the bearing cage 3 during the rotation of the rolling bearing 5. The bearing cage state monitoring device includes: a multi-information sensing unit and a host computer. The multi-information sensing unit is wirelessly connected to the host computer.
[0052] The multi-information sensing unit includes a multi-signal acquisition and processing module 4 and a triboelectric sensing module. The triboelectric sensing module includes an interdigital electrode plate 1 and a dielectric ring 2.
[0053] The multi-element signal acquisition and processing module 4 is fixed to one side of the bearing retainer 3. The dielectric ring 2 is fixed to the bearing seat. The interdigital electrode plate 1 is fixed to the other side of the bearing retainer 3. The interdigital electrode plate 1 is connected to the multi-element signal acquisition and processing module 4. The bearing seat is used to fix the rolling bearing 5. The rolling bearing 5 is used to drive the bearing retainer 3 to rotate. When the rolling bearing 5 is in operation, the bearing retainer 3 rotates around the bearing axis at its characteristic speed.
[0054] The interdigital electrode plate 1 is paired with the dielectric ring 2 to generate an AC signal during the rotation of the bearing retainer 3. The multi-signal acquisition and processing module 4 is used to acquire and process the AC signal and the vibration signal.
[0055] The host computer is used to determine the state of the bearing retainer 3 based on the AC signal and the vibration signal.
[0056] As an optional embodiment, in order to transmit the AC signal and vibration signal acquired and processed by the multi-signal acquisition and processing module 4 to the host computer in real time, the multi-signal acquisition and processing module 4 includes: an MCU chip 41, a vibration sensor 42 and a friction electric signal receiving submodule 43. The vibration sensor 42 and the friction electric signal receiving submodule 43 are respectively connected to the MCU chip 41. The MCU chip 41 is wirelessly connected to the host computer. The vibration sensor 42 is used to acquire vibration signals, and the friction electric signal receiving submodule 43 is used to acquire AC signals. The MCU chip 41 is used to process AC signals and vibration signals and transmit the processed AC signals and vibration signals to the host computer. Among them, the MCU chip 41 can be wirelessly connected to the host computer via WIFI or Bluetooth.
[0057] In application, the MCU chip 41, the vibration sensor 42 and the triboelectric signal receiving submodule 43 can be structurally arranged to form a circuit board. Figure 3 As shown, the multi-signal acquisition and processing module 4 is arranged on a printed circuit board and fixedly mounted on the side of the bearing holder 3 by screws or other connection means. Among them, the MCU chip 41 is a chip with a wireless transmission function, which can be an ESP32 chip.
[0058] It should be noted that the bearing cage state monitoring device monitors the rotational health of the bearing cage 3 of the rolling bearing 5. The rolling bearing 5 includes a metal bearing inner ring 51, a metal bearing outer ring 52, a bearing cage 3, a bearing seat and a rolling element 53. The multi-signal acquisition and processing module 4 also includes an energy supply module and a rectifier module. The interdigital electrode plate 1 is paired with the dielectric ring 2 with a protrusion to form a triboelectric sensing module, such as Figure 4 As shown. The interdigitated electrode plate 1 is adhered to the side of the bearing holder 3 by strong glue, and can also be fixed to the side of the bearing holder 3 by other means. It rotates with the rotation of the bearing holder 3, interacts with the dielectric ring 2 fixed on the bearing seat, and generates friction electrification effect and electrostatic induction on the electrode surface of the interdigitated electrode plate 1. As the interdigitated electrode plate 1 and the dielectric ring 2 rotate relative to each other, the induced charge flows back and forth in the interdigitated electrode plate 1, thereby generating an AC signal containing the bearing holding speed information. The interdigitated electrode plate 1 and the circuit board of the multi-element signal acquisition and processing module 4 are respectively fixed on both sides of the bearing holder 3.
[0059] The experimental process of using the above-mentioned bearing cage condition monitoring device to monitor the condition of the bearing cage 3 of the rolling bearing 5 can be as follows:
[0060] 1. Secure the rolling bearing 5 in the bearing seat and use a motor to drive the rolling bearing 5 to a certain speed to create experimental conditions for condition monitoring. For example, select typical motor speeds of 500 rpm and 300 rpm to monitor the rotational health of the bearing cage 3.
[0061] 2. The vibration sensor 42 in the multi-signal acquisition and processing module 4 collects the vibration signal of the bearing retainer 3 during rotation and transmits it to the MCU chip 41 for processing. At a motor speed of 500 rpm, the vibration signal waveforms obtained in three orthogonal directions (i.e., the xyz three orthogonal directions) are as follows: Figures 6 to 8 shown.
[0062] 3. The triboelectric signal receiving submodule 43 in the multi-signal acquisition and processing module 4 collects the AC signal generated by the interaction between the interdigital electrode plate 1 and the dielectric ring 2 caused by the rotation of the bearing retainer 3, and transmits it to the MCU chip 41 for processing. The AC signal waveform obtained at a speed of 300 rpm is shown in the figure below. Figure 9 shown.
[0063] 4. The MCU chip 41 processes the vibration signal and the AC signal and transmits them wirelessly to the host computer.
[0064] 5. The host computer obtains the corresponding vibration signal and AC signal based on the received signal data.
[0065] 6. The host computer collects statistics on the vibration signals and AC signals received over a period of time, determines the slip rate of the bearing retainer 3 during this period based on the AC signals, and determines the rolling state of the bearing retainer 3 during this period based on the vibration signals. During the experiment, different time periods can be selected to collect the AC and vibration signals based on different requirements, and the signals are transmitted to the host computer in separate time periods. Furthermore, during the experiment, signals can be collected during the motor startup phase and the stabilization phase to analyze the state of the bearing retainer 3. The MCU chip 41 can select the time and period for reading the signals according to different experimental requirements, and classify, process, and organize the collected signals.
[0066] It should be noted that the MCU chip 41 can be configured to acquire the vibration signal and the AC signal in real time, process and store them, and transmit the stored signals to the host computer after a period of time, so that the host computer receives the vibration signal and the AC signal over a period of time and analyzes the state of the bearing retainer 3 during this period of time. Alternatively, the MCU chip 41 can be configured to acquire the vibration signal and the AC signal in real time, process and transmit them in real time, and the host computer analyzes the real-time state of the bearing retainer 3 based on the received signals.
[0067] In practical applications, such as Figure 1 As shown, the rolling bearing 5 may be a ball bearing with an integral cage, which is suitable for steel rolling rollers, machine tool spindles, high-frequency motors, gas turbines, centrifugal separators, and the like.
[0068] Based on the same inventive concept, the present application also provides a bearing retainer condition monitoring method for monitoring the condition of a bearing retainer 3 using the aforementioned bearing retainer condition monitoring device. The method provides a similar solution to the problem described in the aforementioned device. Therefore, the specific limitations of the bearing retainer condition monitoring method provided below can be found in the limitations of the bearing retainer condition monitoring device described above and will not be repeated here. The method is executed by a computer device, specifically, a computer device such as a terminal or server, or a terminal and a server.
[0069] Bearing cage condition monitoring methods include:
[0070] Vibration signals and AC signals are acquired in real time. The vibration signal is generated by the rotation of the bearing retainer 3 as the rolling bearing 5 rotates. The AC signal is generated on the interdigital electrode plate 1 by the frictional electrification effect and electrostatic induction between the dielectric ring 2 and the interdigital electrode plate 1 caused by the rotation of the rolling bearing 5.
[0071] The slip rate of the bearing cage 3 is obtained based on the AC signal.
[0072] Based on the vibration signal, the rotational health state of the bearing cage 3 is determined.
[0073] Obtaining the slip rate of the bearing retainer 3 based on the AC signal includes: performing Fourier transform on the AC signal to extract the characteristic frequency of the AC signal. Obtaining the slip rate of the bearing retainer 3 based on the characteristic frequency of the AC signal.
[0074] Using the formula determining the actual rotational speed of the bearing retainer 3 based on the characteristic frequency of the AC signal;
[0075] Where n c Indicates the actual speed of the bearing cage 3, f sig Indicates the characteristic frequency of the AC signal, N e Indicates the number of teeth of the interdigitated electrode plate 1;
[0076] Using the formula Determine the theoretical speed of the bearing cage 3;
[0077] Where n bm Indicates the theoretical speed of the bearing cage 3, ω i Indicates the speed of the bearing inner ring, D indicates the ball diameter, d m represents the bearing pitch diameter, and α0 represents the bearing contact angle;
[0078] Using the formula determining a slip rate of the bearing retainer 3 based on an actual rotational speed of the bearing retainer 3 and a theoretical rotational speed of the bearing retainer 3;
[0079] Where r sk Indicates the slip rate of the bearing retainer 3.
[0080] A weak signal extraction fault diagnosis method is used to determine the rotational health status of the bearing cage 3 based on the vibration signal. The collected real-time data can be used to reflect the vibration characteristics of the bearing cage 3.
[0081] When the rolling bearing 5 is operating normally, the bearing holder 3 will rotate accordingly and may generate abnormal vortex, slip or impact. At this time, the vibration sensor 42 in the multi-signal acquisition and processing module 4 collects the vibration signal in real time and transmits it to the MCU chip 41. As the interdigitated electrode plate 1 and the dielectric ring 2 fixed on the bearing holder 3 interact, the AC signal generated by friction is received by the triboelectric signal receiving submodule 43 in the multi-signal acquisition and processing module 4 through the wire connected between the electrode plate and the multi-signal acquisition and processing module 4 and transmitted to the MCU chip 41. By setting the reading or sending time of the MCU chip 41, the MCU sends all signal data within the set time to the host computer. The host computer receives and calculates the slip rate of the bearing holder 3 during the rolling process of the rolling bearing 5 based on the vibration signal and the AC signal, thereby determining the stability of the bearing holder 3, analyzing the early weak fault characteristics of the bearing holder 3, and analyzing whether the bearing holder 3 has abnormal impacts and defects.
[0082] In combination with the above embodiments, the beneficial effects that can be achieved by this application are:
[0083] (1) The bearing retainer status monitoring device method proposed in this application, the presence of the triboelectric sensing module ensures that the structural integrity and functional integrity of the bearing are not damaged, and the AC signal generated by friction can be obtained in real time through the rotation of the bearing retainer.
[0084] (2) The multi-signal acquisition and processing module in the above-mentioned device is installed on the side of the bearing retainer, which can provide feedback on the vibration of the bearing retainer. It has wide applicability and high accuracy, and can realize the identification of early weak faults of rolling bearings. It has the advantages of high monitoring accuracy, high real-time performance, full signal types, wide coverage of fault types, and early fault detection.
[0085] (3) During use, the output of vibration signals and AC signals can be controlled simultaneously, thereby further improving the quality of output information and providing favorable conditions for condition monitoring.
[0086] (4) The cost of bearing cage condition monitoring is greatly reduced, and monitoring efficiency is improved. The wireless transmission feature reduces structural complexity, and only the multi-signal acquisition and processing module, the triboelectric sensing module, and the bearing cage need to be installed. This reduces the cost of bearing condition monitoring and enables real-time monitoring of the bearing cage condition through simple installation, opening up a new path for intelligent bearings.
[0087] (5) The structure of the intelligent bearing is simplified, and the structural and functional integrity of the rolling bearing is not damaged when monitoring the condition of the bearing cage. In addition, the output of the bearing cage vibration signal and AC signal can be obtained in real time during use, thereby further improving the output efficiency and providing a guarantee for the effectiveness of wireless transmission.
[0088] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 10 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store data related to the bearing retainer condition monitoring method. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a bearing retainer condition monitoring method is implemented.
[0089] Those skilled in the art will understand that Figure 10 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present application and does not constitute a limitation on the computer device to which the solution of the present application is applied. A specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement. In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps of the above-mentioned method embodiments when executing the computer program.
[0090] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.
[0091] In an exemplary embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.
[0092] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.
[0093] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).
[0094] The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may include, but are not limited to, general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic units, data processing logic units based on quantum computing, and the like.
[0095] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0096] This document uses specific examples to illustrate the principles and implementation methods of this application. The description of the above examples is only intended to help understand the method and core concept of this application. At the same time, for those skilled in the art, based on the concept of this application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.
Claims
1. A bearing cage condition monitoring device, characterized in that: The bearing cage state monitoring device is used to monitor the state of the bearing cage during the rotation of the rolling bearing; the device includes: a multi-information sensing unit and a host computer; the multi-information sensing unit is wirelessly connected to the host computer; The multi-information sensing unit includes a multi-signal acquisition and processing module and a triboelectric sensing module; the triboelectric sensing module includes an interdigitated electrode plate and a dielectric ring; The multi-signal acquisition and processing module is fixed to one side of the bearing holder; the dielectric ring is fixed to the bearing seat; the interdigital electrode plate is fixed to the other side of the bearing holder; the interdigital electrode plate is connected to the multi-signal acquisition and processing module; the bearing seat is used to fix the rolling bearing; the rolling bearing is used to drive the bearing holder to rotate; The interdigital electrode plate is paired with the dielectric ring to generate an AC signal during the rotation of the bearing retainer; the multi-signal acquisition and processing module is used to acquire and process the AC signal and the vibration signal; The host computer is used to determine the state of the bearing retainer based on the alternating current signal and the vibration signal.
2. The bearing retainer state monitoring device according to claim 1, characterized in that: The multi-signal acquisition and processing module includes: an MCU chip, a vibration sensor and a triboelectric signal receiving submodule; The vibration sensor and the triboelectric signal receiving submodule are respectively connected to the MCU chip; the MCU chip is wirelessly connected to the host computer; The vibration sensor is used to obtain the vibration signal; The triboelectric signal receiving submodule is used to obtain the AC signal; The MCU chip is used to process the AC power signal and the vibration signal and transmit the processed AC power signal and vibration signal to the host computer.
3. The bearing retainer state monitoring device according to claim 2, characterized in that: The MCU chip, the vibration sensor and the triboelectric signal receiving submodule are structurally arranged to form a circuit board.
4. A method for monitoring the state of a bearing cage, characterized in that: include: Acquiring vibration signals and alternating current signals in real time; the vibration signal is generated by the bearing retainer rotating as the rolling bearing rotates; the alternating current signal is generated on the interdigital electrode plates by the frictional electrification effect and electrostatic induction generated between the dielectric ring and the interdigital electrode plates due to the rotation of the rolling bearing; obtaining a slip rate of the bearing cage based on the AC signal; Based on the vibration signal, a rotational health state of the bearing cage is determined.
5. The bearing retainer condition monitoring method according to claim 4, characterized in that: Obtaining a slip rate of the bearing retainer based on the alternating current signal includes: Performing a Fourier transform on the AC signal to extract a characteristic frequency of the AC signal; The slip rate of the bearing retainer is obtained based on the characteristic frequency of the alternating current signal.
6. The bearing retainer condition monitoring method according to claim 5, characterized in that: The process of obtaining the slip rate of the bearing retainer based on the characteristic frequency of the AC signal includes: Using the formula determining an actual rotational speed of the bearing cage based on a characteristic frequency of the AC signal; Where n c Indicates the actual speed of the bearing cage, f sig Indicates the characteristic frequency of the AC signal, N e Indicates the number of teeth of the interdigitated electrode plate; Using the formula Determine the theoretical speed of the bearing cage; Where n bm Indicates the theoretical speed of the bearing cage, ω i Indicates the speed of the bearing inner ring, D indicates the ball diameter, d m represents the bearing pitch diameter, and α0 represents the bearing contact angle; Using the formula determining a slip rate of the bearing cage based on an actual rotational speed of the bearing cage and a theoretical rotational speed of the bearing cage; Where r sk Indicates the slip rate of the bearing cage.
7. The bearing retainer condition monitoring method according to claim 4, characterized in that: A weak signal extraction fault diagnosis method is adopted to determine the rotational health state of the bearing retainer based on the vibration signal.
8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the bearing retainer condition monitoring method according to any one of claims 4 to 7.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the bearing retainer condition monitoring method according to any one of claims 4 to 7 is implemented.
10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the bearing retainer condition monitoring method according to any one of claims 4 to 7 is implemented.