Method and system for non-intrusive diagnosis of health state of top drive main carrier bearing
By collecting motor current data from the top drive electrical control room, filtering and performing Fourier transform, and calculating the indicated value E of the current data, the convenience and cost issues of monitoring the health status of the top drive main bearing were solved. This enabled timely judgment of the bearing health status and improved the efficiency and safety of drilling operations.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-13
- Publication Date
- 2026-03-13
AI Technical Summary
Existing technologies make it difficult to monitor the health status of the main bearing of the top drive conveniently and at low cost. In particular, it is difficult to install vibration sensors during top drive operation, making it difficult to locate the fault location.
By collecting the current data of the motor in the top drive electrical control room, filtering it, and then performing a short-time Fourier transform, the indicated value E of the current data is calculated, and the health status of the bearing is determined using the current signal.
It enables low-cost, easy-to-install, non-invasive monitoring of the health status of the top drive main bearing, and can promptly identify minor to severe wear, improving the efficiency and safety of drilling operations.
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Figure CN121655878A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of top drive main bearing health condition diagnosis technology, and more specifically, to a non-invasive method and system for diagnosing the health condition of top drive main bearings. Background Technology
[0002] With continuous technological advancements, increasingly developed industry, and more convenient living, the demand for energy sources such as oil and gas is growing daily. Simultaneously, the oil and gas industry is moving towards automation and intelligence, creating a more urgent need for improved efficiency and safety in drilling operations. The top drive, as a key piece of equipment in the drilling system during oil and gas extraction, is directly related to operational efficiency and safety. The main bearing in the top drive, as a core component, is susceptible to wear and damage due to the immense loads and vibrations caused by harsh operating conditions. A failure in the main bearing necessitates immediate shutdown and lengthy repair processes, severely hindering operational efficiency and causing economic losses. Therefore, real-time monitoring of the main bearing's health status is of paramount importance for the entire drilling operation.
[0003] Currently, vibration monitoring is commonly used for monitoring bearings in gearboxes in industry. This involves collecting vibration signals and analyzing their health status. However, this method has two main drawbacks: first, installation is difficult, requiring the vibration sensor to be placed close to the monitoring target with high-precision orientation, which is inconvenient in practical applications; second, due to the complex structure of gearboxes, with multiple bearings, shafts, and gears, the sensor can only be mounted on the outer casing, making it difficult to pinpoint the specific fault location. Other drawbacks include susceptibility to interference and high cost. In top drive applications, the installation is particularly challenging because top drives operate at a considerable distance from the ground, moving tens of meters up and down, making vibration monitoring of the main load-bearing bearings difficult. This leaves the practical application of main load-bearing bearing health monitoring currently unexplored.
[0004] Therefore, finding a convenient, non-invasive, and low-cost method for monitoring the health status of main bearings is of great significance. Summary of the Invention
[0005] The present invention provides a method and system for non-invasive diagnosis of the health status of top drive main bearings, in order to solve the problem of how to perform non-invasive diagnosis of the health status of top drive main bearings.
[0006] To address the above problems, the present invention provides a non-invasive method for diagnosing the health status of a top drive main bearing, the method comprising:
[0007] The current data of the top drive motor in the top drive electrical control room is collected based on the collection period, and the current data is filtered.
[0008] A short-time Fourier transform is performed on the processed current data to select the current data in a stable state within the acquisition period.
[0009] Perform a Fast Fourier Transform (FFT) on the steady-state current data within the acquisition period, and calculate the indicator value E of the transformed current data.
[0010] The health status of the top drive main bearing is diagnosed based on the indicated value E of the current data.
[0011] Preferably, the filtering process for the current data includes:
[0012] The current data is subjected to low-pass filtering with a frequency band of 0-1000Hz.
[0013] Preferably, after performing a short-time Fourier transform on the processed current data, the method further includes determining the stable state of the current data:
[0014] If the frequency change of the current data within a preset window length is within a preset change threshold, then the current data is determined to be in a stable state.
[0015] Preferably, the step of performing a Fast Fourier Transform (FFT) on the current data in the steady state within the acquisition period and calculating the indicator value E of the transformed current data includes:
[0016] The sum of the differences between the interharmonics between the 0th and 3rd harmonics and -75dB is used as the indication value E:
[0017]
[0018] Where n is the total number of interharmonics that meet the conditions between the 0th and 3rd harmonics, and Ai is the amplitude of the i-th interharmonic between the preset harmonics.
[0019] Preferably, the preset harmonic is greater than -75dB and less than -40dB.
[0020] Preferably, the indication value E based on current data is used to diagnose the health status of the top drive main bearing, including:
[0021] When the indicated value E <= 20, the top drive main bearing is diagnosed as a healthy shaft;
[0022] When 20 < indicated value E <= 35, the top drive main bearing is diagnosed as having slight wear.
[0023] When 35 < indicated value E <= 45, the top drive main bearing is diagnosed as having moderate wear.
[0024] When 45 < the indicated value E, the top drive main bearing is diagnosed as severely worn.
[0025] Based on another aspect of the present invention, the present invention provides a non-invasive system for diagnosing the health status of a top drive main bearing, the system comprising:
[0026] The acquisition unit is used to acquire current data of the top drive motor in the top drive electrical control room based on the acquisition period, and to filter the current data.
[0027] The execution unit is used to perform a short-time Fourier transform on the processed current data, select the current data in the steady state within the acquisition period, perform a fast Fourier transform on the current data in the steady state within the acquisition period, and calculate the indicator value E of the transformed current data.
[0028] The results unit is used to diagnose the health status of the top drive main bearing based on the indicated value E of the current data.
[0029] Preferably, the acquisition unit is used to filter the current data and is also used to:
[0030] The current data is subjected to low-pass filtering with a frequency band of 0-1000Hz.
[0031] Preferably, the execution unit is configured to perform a short-time Fourier transform on the processed current data, and further configured to determine the stable state of the current data:
[0032] If the frequency change of the current data within a preset window length is within a preset change threshold, then the current data is determined to be in a stable state.
[0033] Preferably, the execution unit is configured to perform a Fast Fourier Transform (FFT) on the current data in the steady state during the acquisition period, and calculate the indication value E of the transformed current data, and is also configured to:
[0034] The sum of the differences between the interharmonics between the 0th and 3rd harmonics and -75dB is used as the indication value E:
[0035]
[0036] Where n is the total number of interharmonics that meet the conditions between the 0th and 3rd harmonics, and Ai is the amplitude of the i-th interharmonic between the preset harmonics.
[0037] Preferably, the preset harmonic is greater than -75dB and less than -40dB.
[0038] Preferably, the result unit is used to diagnose the health status of the top drive main bearing based on the indication value E of the current data, and is also used to:
[0039] When the indicated value E <= 20, the top drive main bearing is diagnosed as a healthy shaft;
[0040] When 20 < indicated value E <= 35, the top drive main bearing is diagnosed as having slight wear.
[0041] When 35 < indicated value E <= 45, the top drive main bearing is diagnosed as having moderate wear.
[0042] When 45 < the indicated value E, the top drive main bearing is diagnosed as severely worn.
[0043] According to another aspect of the present invention, the present invention provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for performing a method for non-invasively diagnosing the health status of a top drive main bearing.
[0044] According to another aspect of the present invention, the present invention provides an electronic device, characterized in that the electronic device comprises: a processor and a memory; wherein,
[0045] The memory is used to store the processor-executable instructions;
[0046] The processor is configured to read the executable instructions from the memory and execute the instructions to implement a non-invasive method for diagnosing the health status of the top drive main bearing.
[0047] This invention provides a non-invasive method and system for diagnosing the health status of a top drive main bearing. The method includes: acquiring current data from the top drive motor in the top drive electrical control room based on a acquisition period, and filtering the current data; performing a short-time Fourier transform on the processed current data to select current data in a stable state within the acquisition period; performing a fast Fourier transform (FFT) on the current data in the stable state within the acquisition period and calculating the indicator value E of the transformed current data; and diagnosing the health status of the top drive main bearing based on the indicator value E. This invention provides a non-invasive method and system for diagnosing the health status of a top drive main bearing, utilizing current signals to determine the degree of fault. It is a low-cost diagnostic method, easy to install, and fills the gap in methods for diagnosing the health status of top drive main bearings. Attached Figure Description
[0048] Exemplary embodiments of the present invention can be more fully understood by referring to the following figures:
[0049] Figure 1 This is a flowchart of a non-invasive method for diagnosing the health status of a top drive main bearing according to a preferred embodiment of the present invention.
[0050] Figure 2 This is a flowchart of a non-invasive method for diagnosing the health status of a top drive main bearing according to a preferred embodiment of the present invention.
[0051] Figure 3 This is a current time-domain waveform diagram according to a preferred embodiment of the present invention;
[0052] Figure 4 A spectrum diagram of a healthy main bearing according to a preferred embodiment of the present invention;
[0053] Figure 5 This is a diagram showing severe wear of the main load-bearing structure according to a preferred embodiment of the present invention;
[0054] Figure 6 This is a system structure diagram of a non-invasive diagnostic method for the health status of the top drive main bearing according to a preferred embodiment of the present invention. Detailed Implementation
[0055] Exemplary embodiments of the invention will now be described with reference to the accompanying drawings. However, the invention may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to fully and completely disclose the invention and to fully convey its scope to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the drawings is not intended to limit the invention. In the drawings, the same units / elements are referred to by the same reference numerals.
[0056] Unless otherwise stated, the terms used herein (including technical terms) have their common meaning as understood by one of ordinary skill in the art. Furthermore, it is understood that terms defined in commonly used dictionaries should be understood to have a meaning consistent with the context of their relevant field, and not to be interpreted as having an idealized or overly formal meaning.
[0057] Figure 1 This is a flowchart of a non-invasive method for diagnosing the health status of a top drive main bearing according to a preferred embodiment of the present invention.
[0058] To address the aforementioned problems, this invention provides a convenient, non-invasive method for diagnosing the health status of the main bearing in a top drive motor. The method primarily relies on analyzing the low-frequency characteristics of the stator current of the top drive motor to determine the health status of the main bearing. The principle is that when the main bearing experiences wear, due to the enormous load it bears, the vibration generated by the bearing wear affects the rotor vibration of the motor. This vibration leads to changes in the motor's airgap, causing changes in the stator electromotive force (EMF), which are reflected in the current signal. Since the main bearing undergoes multi-stage gear reduction, its primary influence is on the low-frequency characteristics of the current; therefore, analyzing the low-frequency characteristics of the stator current can be used to diagnose the health status of the main bearing in the top drive motor.
[0059] This invention primarily utilizes current signals to determine the health status of the main bearing in the top drive system. The key lies in acquiring the signal indication value of the bearing's health status and using this value to determine the bearing's health condition. This invention involves installing a current transformer at the inverter's output terminal in the top drive electrical control room, acquiring the current signal using a digital current signal acquisition device, and transmitting it to a host computer. The host computer then performs the following algorithm.
[0060] like Figure 1 As shown, the present invention provides a non-invasive method for diagnosing the health status of a top drive main bearing, the method comprising:
[0061] Step 101: Collect current data of the top drive motor in the top drive electrical control room based on the acquisition cycle, and filter the current data;
[0062] Preferably, filtering the current data includes:
[0063] The current data is low-pass filtered, with a filtering frequency range of 0-1000Hz.
[0064] This invention involves installing a wideband current sensor on the power supply cable of the top drive motor in the top drive electrical control room to collect and gather current data. The current data is then low-pass filtered to remove interfering high-frequency noise.
[0065] Step 102: Perform a short-time Fourier transform on the processed current data and select the current data in the steady state within the acquisition period;
[0066] Preferably, after performing a short-time Fourier transform on the processed current data, the method further includes determining the steady-state of the current data:
[0067] If the frequency change of the current data within the preset window length is within the preset change threshold, then the current data is determined to be in a stable state.
[0068] This invention uses a short-time Fourier transform to determine if the current data is in a steady state;
[0069] This invention performs a short-time Fourier transform on the filtered data in step 101 to ensure that the data acquisition period is in a steady state. If the steady state condition is not met, the data is re-acquired and analyzed until the steady state condition is reached.
[0070] Step 103: Perform a Fast Fourier Transform (FFT) on the current data in the steady state during the acquisition period, and calculate the indicator value E of the transformed current data.
[0071] Preferably, the current data in the steady state during the acquisition period is subjected to a Fast Fourier Transform (FFT), and the indicator value E of the transformed current data is calculated, including:
[0072] The sum of the differences between the interharmonics between the 0th and 3rd harmonics and -75dB is used as the indication value E:
[0073]
[0074] Where n is the total number of interharmonics that meet the conditions between the 0th and 3rd harmonics, and Ai is the amplitude of the i-th interharmonic between the preset harmonics.
[0075] Preferably, the preset harmonics are greater than -75dB and less than -40dB.
[0076] This invention uses the sum of relative amplitudes E of interharmonics in the 0th to 3rd harmonic range of the statistical spectrum that exceed -75dB and are less than -40dB as an indication value.
[0077] This invention performs an FFT transformation on 3 seconds of current data and calculates the indicated value. Specifically, the indicated value is calculated by summing the differences E between the interharmonics (greater than -75dB and less than -40dB) between the 0th and 3rd harmonics and -75dB:
[0078]
[0079] In equation (1), n is the total number of interharmonics that satisfy the condition between the 0th and 3rd harmonics, and Ai is the amplitude of the i-th interharmonic that satisfies the condition.
[0080] Step 104: Diagnose the health status of the top drive main bearing based on the indicated value E of the current data.
[0081] Preferably, the health status of the top drive main bearing is diagnosed based on the indicated value E of the current data, including:
[0082] When the indicated value E <= 20, the top drive main bearing is diagnosed as a healthy shaft;
[0083] When 20 < indicated value E <= 35, the top drive main bearing is diagnosed as having slight wear.
[0084] When 35 < indicated value E <= 45, the top drive main bearing is diagnosed as moderately worn;
[0085] When 45 < indicated value E, the top drive main bearing is diagnosed as severely worn.
[0086] The present invention determines the bearing health status through the index value E:
[0087] When E <= 20, it represents a healthy bearing;
[0088] When 20 < E <= 35, it represents slight wear;
[0089] When 35 < E <= 45, moderately worn, it indicates that continuous attention should be paid to the development and changes;
[0090] When 45 < E, severely worn, it indicates that damage may occur at any time.
[0091] The present invention provides a low-cost, easily installed, non-invasive method for diagnosing the health status of the top drive main bearing. The main innovation lies in using the current signal to judge the degree of the fault. Compared with the traditional vibration method, its installation is simpler, the cost is lower, and the analysis difficulty is lower. After verification by actual data, the effect is obvious. The present invention fills the gap in the method for diagnosing the health status of the top drive main bearing that can be actually and conveniently applied.
[0092] The present invention provides a convenient method for non-invasive diagnosis of the health status of the top drive main bearing, which can be used in a computer or an embedded device, and can be specifically executed by one or more processors of the computer or the embedded device. Figure 2 It is the flowchart of the method for diagnosing the health status of the top drive main bearing provided by the embodiment of the present invention. The method includes the following steps:
[0093] The present invention performs FFT transformation on the current data of 3 seconds and calculates the indicated value. The specific calculation of the indicated value is to count the sum E of the differences between the interharmonics greater than -75 dB and less than -40 dB between the 0 - 3 harmonics and -75 dB:
[0094]
[0095] In formula (1), n is the total number of interharmonics that meet the conditions between the 0 - 3 harmonics, and Ai is the amplitude of the i-th interharmonic that meets the conditions.
[0096] The result diagnosis of the present invention is that if:
[0097] E <= 20, healthy bearing as Figure 4 ;
[0098] 20 < E <= 35, slight wear;
[0099] 35 ≤ E ≤ 45 Moderate wear, continuously monitor the development and changes;
[0100] E > 45 Severe wear, damage may occur at any time, such as Figure 5 , the data in the figure is from a large abnormal noise in the main bearing, and after inspection, the rolling elements are severely worn.
[0101] Such as Figure 6 As shown, the present invention provides a system for non-intrusively diagnosing the health status of the main bearing of a top drive, and the system includes:
[0102] An acquisition unit 601, configured to acquire current data of the top drive motor of the top drive electric control room based on an acquisition period, and perform filtering processing on the current data;
[0103] Preferably, the acquisition unit 601 is configured to perform filtering processing on the current data, and is further configured to:
[0104] Perform low-pass filtering on the current data, and the filtering frequency band is 0 - 1000 Hz.
[0105] An execution unit 602, configured to perform short-time Fourier transform on the processed current data, and select the current data in a stable state within the acquisition period; perform fast Fourier FFT transform on the current data in a stable state within the acquisition period, and calculate the indication value E of the transformed current data;
[0106] Preferably, after performing short-time Fourier transform on the processed current data, the execution unit 602 is further configured to judge the stable state of the current data:
[0107] When the main frequency change of the current data within the preset window length is within the preset change threshold, it is determined that the current data is in a stable state.
[0108] Preferably, after performing fast Fourier FFT transform on the current data in a stable state within the acquisition period and calculating the indication value E of the transformed current data, the execution unit 602 is further configured to:
[0109] Take the sum of the differences between the interharmonics between the 0 - 3 harmonics within the preset harmonics and -75 dB as the indication value E:
[0110]
[0111] Where n is the total number of interharmonics that meet the conditions between the 0 - 3 harmonics, and Ai is the amplitude of the i-th interharmonic within the preset harmonics.
[0112] Preferably, the preset harmonics are greater than -75 dB and less than -40 dB.
[0113] Result unit 603 is used to diagnose the health status of the top drive main bearing based on the indicated value E of the current data.
[0114] Preferably, the result unit 603 is used to diagnose the health status of the top drive main bearing based on the indication value E of the current data, and is also used for:
[0115] When the indicated value E <= 20, the top drive main bearing is diagnosed as a healthy shaft;
[0116] When 20 < indicated value E <= 35, the top drive main bearing is diagnosed as having slight wear.
[0117] When 35 < indicated value E <= 45, the top drive main bearing is diagnosed as having moderate wear.
[0118] When 45 < the indicated value E, the top drive main bearing is diagnosed as severely worn.
[0119] The present invention provides a computer-readable storage medium storing a computer program for performing a non-invasive method for diagnosing the health status of a top drive main bearing.
[0120] This invention provides an electronic device, which includes: a processor and a memory; wherein,
[0121] Memory, used to store processor-executable instructions;
[0122] A processor for reading executable instructions from memory and executing the instructions to implement a non-invasive method for diagnosing the health condition of the top drive main bearing.
[0123] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention can be implemented using various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.
[0124] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0125] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0126] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0127] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.
[0128] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
[0129] The invention has been described with reference to a few embodiments. However, as will be known to those skilled in the art, and as defined in the appended claims, other embodiments besides those disclosed above fall equivalently within the scope of the invention.
[0130] Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the art, unless otherwise expressly defined herein. All references to “a / the / the [device, component, etc.]” are openly interpreted as at least one instance of said device, component, etc., unless otherwise expressly stated. The steps of any method disclosed herein need not be performed in the exact order disclosed unless explicitly stated otherwise.
Claims
1. A non-invasive method for diagnosing the health status of a top drive main bearing, the method comprising: The current data of the top drive motor in the top drive electrical control room is collected based on the collection period, and the current data is filtered. A short-time Fourier transform is performed on the processed current data to select the current data in a stable state within the acquisition period. Perform a Fast Fourier Transform (FFT) on the steady-state current data within the acquisition period, and calculate the indicator value E of the transformed current data. The health status of the top drive main bearing is diagnosed based on the indicated value E of the current data.
2. The method according to claim 1, wherein filtering the current data comprises: The current data is subjected to low-pass filtering with a frequency band of 0-1000Hz.
3. The method according to claim 1, wherein after performing a short-time Fourier transform on the processed current data, the method further includes determining the stable state of the current data: If the frequency change of the current data within a preset window length is within a preset change threshold, then the current data is determined to be in a stable state.
4. The method according to claim 1, wherein performing a Fast Fourier Transform (FFT) on the current data in the steady state within the acquisition period and calculating the indicator value E of the transformed current data includes: The sum of the differences between the interharmonics between the 0th and 3rd harmonics and -75dB is used as the indication value E: Where n is the total number of interharmonics that meet the conditions between the 0th and 3rd harmonics, and Ai is the amplitude of the i-th interharmonic between the preset harmonics.
5. The method according to claim 4, wherein the preset harmonic is greater than -75dB and less than -40dB.
6. The method according to claim 4, wherein the diagnosis of the health status of the top drive main bearing based on the indication value E of the current data includes: When the indicated value E <= 20, the top drive main bearing is diagnosed as a healthy shaft; When 20 < indicated value E <= 35, the top drive main bearing is diagnosed as having slight wear. When 35 < indicated value E <= 45, the top drive main bearing is diagnosed as having moderate wear. When 45 < the indicated value E, the top drive main bearing is diagnosed as severely worn.
7. A non-invasive system for diagnosing the health status of a top drive main bearing, the system comprising: The acquisition unit is used to acquire current data of the top drive motor in the top drive electrical control room based on the acquisition period, and to filter the current data. An execution unit is used to perform a short-time Fourier transform on the processed current data and select the current data in a stable state within the acquisition period. Perform a Fast Fourier Transform (FFT) on the steady-state current data within the acquisition period, and calculate the indicator value E of the transformed current data. The results unit is used to diagnose the health status of the top drive main bearing based on the indicated value E of the current data.
8. The system according to claim 7, wherein the acquisition unit is configured to filter the current data, and further configured to: The current data is subjected to low-pass filtering with a frequency band of 0-1000Hz.
9. The system according to claim 7, wherein the execution unit is configured to perform a short-time Fourier transform on the processed current data, and further configured to determine the stable state of the current data: If the frequency change of the current data within a preset window length is within a preset change threshold, then the current data is determined to be in a stable state.
10. The system according to claim 7, wherein the execution unit is configured to perform a Fast Fourier Transform (FFT) on the current data in the steady state during the acquisition period, and calculate the indication value E of the transformed current data, and is further configured to: The sum of the differences between the interharmonics between the 0th and 3rd harmonics and -75dB is used as the indication value E: in, n is the total number of interharmonics that meet the conditions between the 0th and 3rd harmonics, and Ai is the amplitude of the i-th interharmonic between the preset harmonics.
11. The system according to claim 10, wherein the preset harmonic is greater than -75dB and less than -40dB.
12. The system according to claim 10, wherein the result unit is configured to diagnose the health status of the top drive main bearing based on the indication value E of the current data, and is further configured to: When the indicated value E <= 20, the top drive main bearing is diagnosed as a healthy shaft; When 20 < indicated value E <= 35, the top drive main bearing is diagnosed as having slight wear. When 35 < indicated value E <= 45, the top drive main bearing is diagnosed as having moderate wear. When 45 < the indicated value E, the top drive main bearing is diagnosed as severely worn.
13. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program for performing the method of any one of claims 1-6.
14. An electronic device, characterized in that, The electronic device includes: a processor and a memory; wherein, The memory is used to store the processor-executable instructions; The processor is configured to read the executable instructions from the memory and execute the instructions to implement the method of any one of claims 1-6.