Liquid bearing abnormality determination method and device

Abstract

The present disclosure relates to a liquid bearing abnormality judging method, detecting a friction force related feature of a liquid bearing; in response to the friction force feature indicating that the friction force drops in accordance with a certain condition, outputting a liquid bearing abnormality signal. According to the present disclosure, a liquid bearing abnormality judging method is provided, which can effectively predict the abnormality of the liquid bearing, so as to timely perform maintenance.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the field of information processing, and in particular, the present disclosure relates to a method and device for judging abnormality of a liquid bearing. BACKGROUND

[0002] A liquid bearing uses a liquid lubricant, such as liquid metal, instead of balls in a traditional bearing, avoiding wear caused by balls when the bearing is working, and not only has lower friction, but also has less noise than a traditional ball bearing. However, the liquid lubricant has a risk of leakage, and the leakage of the liquid lubricant will cause failure of the bearing. Therefore, it is necessary to analyze the abnormality of the liquid bearing, and try to obtain information that the liquid bearing will fail as early as possible, and timely maintenance or replacement. SUMMARY

[0003] Therefore, the present disclosure provides a method for judging abnormality of a liquid bearing.

[0004] According to an exemplary embodiment of the present disclosure, a method for judging abnormality of a liquid bearing, a friction-related feature of the liquid bearing is obtained; in response to the friction-related feature indicating that the friction meets a specific condition, an abnormal signal of the liquid bearing is output.

[0005] According to an exemplary embodiment of the present disclosure, the friction-related feature of the liquid bearing is obtained in response to a first condition, a rotation speed drop-related feature of the liquid bearing after stopping driving is obtained, and the rotation speed drop-related feature is taken as the friction-related feature.

[0006] According to an exemplary embodiment of the present disclosure, the rotation speed drop-related feature is a rotation speed difference between a first rotation speed of the bearing after stopping driving and a second rotation speed of the bearing after a first time.

[0007] According to an exemplary embodiment of the present disclosure, the liquid bearing is used in an X-ray tube, and the first condition is a self-check preheating stage of the X-ray tube after starting.

[0008] According to an exemplary embodiment of the present disclosure, the liquid bearing is used in an X-ray tube, and the first condition is that at least one of the following indicators is equal to a specific value or belongs to a specific range: temperature, rotation speed, tube voltage, and tube current.

[0009] According to an exemplary embodiment of the present disclosure, the specific condition is that the rotation speed difference between the first rotation speed and the second rotation speed decreases successively after a first number of measurements.

[0010] According to an exemplary embodiment of the present disclosure, the specific condition is that the rotation speed difference is less than a first value, and the output of the abnormal signal of the liquid bearing is output of a first type of abnormal signal of the liquid bearing.

[0011] According to an example embodiment of the present disclosure, the specific condition is that the rotation speed difference is between a second value and a third value, the second value is less than the third value, the third value is less than or equal to the first value, and a standard deviation of the rotation speed difference detected multiple times in a first time period in the past is less than a fourth value; and the outputting the liquid bearing abnormality signal is outputting a second type of liquid bearing abnormality signal; wherein the second type of liquid bearing abnormality signal has a higher level than the first type of liquid bearing abnormality signal.

[0012] According to an example embodiment of the present disclosure, the specific condition is that the rotation speed difference detected multiple times in a second time period in the past decreases successively; and the outputting the liquid bearing abnormality signal is outputting a third type of liquid bearing abnormality signal; wherein the third type of liquid bearing abnormality signal has a higher level than the second type of liquid bearing abnormality signal.

[0013] According to an example embodiment of the present disclosure, the specific condition is that a maximum value and a minimum value of the rotation speed difference detected multiple times in a third time period in the past differ by more than a fifth value, and the rotation speed difference detected multiple times in a fourth time period in the past decreases successively; and the outputting the liquid bearing abnormality signal is outputting a fourth type of liquid bearing abnormality signal.

[0014] According to an example embodiment of the present disclosure, the specific condition is that a maximum value and a minimum value of the rotation speed difference detected multiple times in the third time period in the past differ by more than a sixth value, and the rotation speed difference detected multiple times in the fourth time period in the past decreases successively; and the outputting the liquid bearing abnormality signal is outputting a fifth type of liquid bearing abnormality signal; wherein the sixth value is greater than the fifth value, and the fifth type of liquid bearing abnormality signal has a higher level than the fourth type of liquid bearing abnormality signal.

[0015] According to an example embodiment of the present disclosure, a liquid bearing abnormality judgment device comprises at least one processor and a computer storage medium storing a computer program, which, when executed by the at least one processor, implements the method in the example embodiments of the present disclosure.

[0016] According to an example embodiment of the present disclosure, a computer readable storage medium storing a computer program, which, when executed by a processor, implements the method in the example embodiments of the present disclosure.

[0017] According to an example embodiment of the present disclosure, a computer program product comprises a computer program, which, when executed by a processor, implements the method in the example embodiments of the present disclosure.

[0018] According to an example embodiment of the present disclosure, an x-ray device comprises an x-ray tube having a liquid bearing and a liquid bearing abnormality judgment device in the example embodiments of the present disclosure.

[0019] The liquid bearing abnormality judging method provided by the present disclosure can judge the abnormality of the liquid bearing and predict the failure of the liquid bearing in an early stage. BRIEF DESCRIPTION OF DRAWINGS

[0020] The above and other features and advantages of the present disclosure will become more apparent by reference to the following detailed description taken in conjunction with the accompanying drawings, in which:

[0021] Figure 1 A flow chart of an exemplary liquid bearing abnormality judging method of the present disclosure;

[0022] Figure 2 A flow chart of another exemplary liquid bearing abnormality judging method of the present disclosure.

[0023] Figure 3 A flow chart of another exemplary liquid bearing abnormality judging method of the present disclosure. DETAILED DESCRIPTION

[0024] In order to make the objects, technical solutions and advantages of the present disclosure clearer, the following embodiments are further described in detail. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present disclosure, and are not used to limit the present disclosure.

[0025] In one exemplary embodiment, reference can be made to Figure 1The present disclosure provides a method for judging liquid bearing abnormality, the method comprising the steps of: S1. obtaining a friction force related feature of the liquid bearing; S2. in response to the friction force related feature indicating that the friction force F is dropping in accordance with a specific condition, outputting a liquid bearing abnormality signal. The inventors of the present disclosure have found that in the use of a liquid bearing, as the liquid lubricant leaks, the friction force F will actually drop. That is, the liquid bearing will have a drop in friction force, and then directly experience a seizure damage process. Based on this feature of the liquid bearing, the method provided by the present disclosure first obtains bearing friction force related information, and then, in response to the friction force dropping in accordance with a condition that the liquid bearing is about to be damaged, outputs an alarm signal that the liquid bearing has occurred abnormality. This damage condition can be preset, or can be determined in real time according to big data and artificial intelligence in actual use. For example, the performance indicators of the liquid bearing, such as the rotational speed, are analyzed and compared with known liquid bearings in the database to determine one or a group of liquid bearings that are most similar, and the damage condition of the liquid bearing is determined in real time according to the prior information of the damage of the known liquid bearings in the database. In practice, it is often difficult to measure the friction force or the friction coefficient. Usually, the friction force is calculated or inferred by measuring easily obtained indicators, i.e. obtaining the friction force related feature of the liquid bearing. For example: after a certain driving force is applied to the bearing, the rotational speed of the liquid bearing is obtained, which is a friction force related feature. With the same driving force, the higher the rotational speed, the smaller the friction force. Through empirical data, the relationship between the rotational speed and the friction force can be obtained, and finally the size of the friction force is calculated or inferred through the acquisition or measurement of the rotational speed.

[0026] In one exemplary embodiment, detecting the friction force related feature of the liquid bearing comprises: in response to a first condition, obtaining a rotational speed drop related feature after the liquid bearing is stopped driving, and taking the rotational speed drop related feature as the friction force related feature. On the one hand, under the same driving force, the higher the rotational speed, the smaller the friction force F. On the other hand, under the same condition of stopping driving, the slower the rotational speed drops, the smaller the friction force. In this embodiment, the rotational speed drop related feature after stopping driving under the first condition, such as the same rotational speed, is obtained, for example, the slope of the rate curve of the drop, as the friction force related feature.

[0027] In one exemplary embodiment, the rotational speed drop related feature is the rotational speed difference between a first rotational speed of the bearing when the driving is stopped and a second rotational speed of the bearing after a first time period. To obtain the rate of rotational speed drop of the bearing when the driving is stopped, the first exemplary embodiment first obtains the rotational speed vl of the bearing when the driving is stopped, then obtains the rotational speed v2 of the bearing after a first time period tl (e.g., 5 seconds or 10 seconds, which is not limited herein), and finally calculates the rotational speed difference Δv = vl - v2. The rotational speed difference Δv can represent the friction force of the bearing. It is easy to understand that the smaller the rotational speed difference Δv, the smaller the friction force F. The rotational speed difference Δv can not be the only factor that determines the size of the friction force F. The friction force F can also be related to the rotational speed vl when the driving is stopped, i.e., the friction force is a function of the initial speed and the speed difference, F = f(vl, Δv). The empirical curve of this function can be recorded, and then F can be easily obtained according to vl and Δv according to the look-up table. It is easy to understand that F = f(vl, Δv) and F = f(vl, v2) are equivalent, and F can also be obtained according to the empirical curve of vl and v2.

[0028] In one exemplary embodiment, the liquid bearing is used in an X-ray tube, and the first condition is a self-checking preheating phase when the X-ray tube is turned on. The friction force can be related not only to the rotational speed difference Δv or the rotational speed difference Δv and the initial speed vl, but also to other environments in which the bearing is located. In X-ray tubes, liquid bearings are widely used, and this embodiment takes the application of the bearing in an X-ray tube as an example. In X-ray tubes, the bearing of the X-ray tube is in substantially the same environment during each self-checking preheating phase when the X-ray tube is turned on, and the initial speed vl is also the same. At this time, the rotational speed difference is obtained, which can more accurately represent the size of the friction force.

[0029] In one exemplary embodiment, the liquid bearing is used in an X-ray tube, and the first condition is that at least one of the following indicators is equal to a specific value or belongs to a specific range: temperature, rotational speed, tube voltage, and tube current. When the temperature, rotational speed, tube voltage, and tube current of the X-ray tube are the same or similar, the liquid bearing is in the same or substantially the same environment, and at this time, the rotational speed difference is obtained, which can more accurately represent the size of the friction force.

[0030] In one exemplary embodiment, the specific condition is that the rotational speed difference Δv between the first rotational speed and the second rotational speed is monotonously decreasing after the first number of measurements. The inventors of the present disclosure have found that for a liquid bearing, a decrease in friction force represents that wear is occurring. A monotonic decrease in friction force is more representative of a more severe wear. Thus, when a monotonic decrease in friction force is found, it represents that the wear of the liquid bearing is more severe. When the friction force is not monotonously decreasing but is decreasing at times and increasing at times, it represents that the wear is still at an acceptable level. Thus, in this embodiment, the specific condition is that the rotational speed difference Δv is monotonously decreasing after the first number of measurements. For example, after 10 or 20 measurements, if the friction force is found to be decreasing or remaining the same in two consecutive measurements without any increase, it is determined that the liquid bearing has experienced unacceptable wear.

[0031] In one exemplary embodiment, the specific condition is that the rotational speed difference Δv is less than a first value value 1, and the output liquid bearing abnormality signal is a first type of liquid bearing abnormality signal. When the friction force of the liquid bearing is found to have decreased to a certain level, this embodiment outputs the first type of liquid bearing abnormality signal.

[0032] In one exemplary embodiment, the specific condition is that the rotational speed difference Δv is between a second value value 2 and a third value value 3, the second value value 2 is less than the third value value 3, the second value value 2 is greater than or equal to the first value value 1, and the standard deviation of the rotational speed difference Δv detected multiple times in a past first time period is less than a fourth value SD, and the output liquid bearing abnormality signal is a second type of liquid bearing abnormality signal, wherein the second type of liquid bearing abnormality signal has a higher level than the first type of liquid bearing abnormality signal. In this embodiment, when the friction force is found to be further decreasing and the trend of the decrease is not monotonic but the standard deviation of the decrease is already small, i.e., the data does not fluctuate greatly, it is considered that the liquid bearing has experienced more severe damage and a second type of liquid bearing abnormality signal with a higher level than the first type of liquid bearing abnormality signal is output. Here, value 1 > value 2 > value 3 represents that the friction force is further decreasing but has not decreased to value 3.

[0033] In an exemplary embodiment, the specific condition is that the rotational speed difference Δv detected multiple times in the past second time period decreases successively; the output liquid bearing abnormality signal is a third type of liquid bearing abnormality signal; and wherein the third type of liquid bearing abnormality signal has a higher level than the second type of liquid bearing abnormality signal. As discussed above, it is not good to observe a decrease in the friction of a liquid bearing, and it is especially not good to observe a monotonic decrease in the friction of a liquid bearing over a certain time period. In this embodiment, when a monotonic decrease in the friction of a liquid bearing is observed over a certain time period, a higher level alarm signal than the second type of alarm signal is outputted to prompt a technician to perform maintenance and replacement.

[0034] In an exemplary embodiment, the maximum Δv(max) and the minimum Δv(min) of the rotational speed difference detected multiple times in the past third time period differ by more than a fifth value value5; the rotational speed difference detected multiple times in the past fourth time period decreases successively; and the output liquid bearing abnormality signal is a fourth type of liquid bearing abnormality signal. In this embodiment, if the change in the friction is large, i.e., Δv(max)-Δv(min)≥value5, it indicates that the friction is decreasing sharply and that the friction is decreasing monotonically in the recent time period, which represents that the wear of the liquid bearing has reached an alarm level, and a fourth type of liquid bearing abnormality signal is outputted to prompt a technician to perform maintenance and replacement.

[0035] In an exemplary embodiment, the specific condition is that the maximum Δv(max) and the minimum Δv(min) of the rotational speed difference detected multiple times in the past third time period differ by more than a sixth value value6; the rotational speed difference detected multiple times in the past fourth time period decreases successively; the output liquid bearing abnormality signal is a fifth type of liquid bearing abnormality signal; and wherein the sixth value value6 is greater than the fifth value value5, and the fifth type of liquid bearing abnormality signal has a higher level than the fourth type of liquid bearing abnormality signal. In this embodiment, it is found that the change in the friction is even larger, which has further exceeded the fifth value value5 to reach value6, wherein value6>value5, which represents that the wear of the liquid bearing has reached a very serious level, and a fifth type of alarm signal having a higher level than the fourth type of alarm signal is outputted to prompt a technician to perform maintenance and replacement.

[0036] In an exemplary embodiment, special reference is made to Figure 2, with the application of liquid bearings in X-ray tubes as an example. The bearing is one of the important components of the X-ray tube. With the increase of the use time, the probability of bearing problems will gradually increase. If the bearing speed decays too fast or is once stuck, it will cause the scan to be interrupted. The inventor knows that the existing tube system design does not have a function to warn the deterioration of the bearing, and there is no method to remotely monitor whether the bearing has entered an early failure state. At present, whether the bearing is failed is judged by professional service personnel on site, disassembling the tube, returning to the factory and disassembling the tube, observing whether the disassembled tube bearing is stuck, and whether there are scattered bearing components in the tube. Therefore, once the liquid bearing has a problem, it may cause the client to stop using, seriously affecting the timeliness of diagnosis, and in serious cases, it may cause the hospital to stop for several weeks or more. How to predict the state of the bearing without disassembling the tube, give an early warning of the failure of the bearing, and reduce the probability of interruption during scanning is the problem that this embodiment tries to solve. Figure 2 An example is given to the flow of liquid bearing alarm.

[0037] S1: Collect the start-stop test data of the whole machine system in the self-check preheating stage.

[0038] S2: For each start-stop, calculate the difference between the maximum speed and the minimum speed measured after stopping driving. In this step, the maximum speed v1 is obtained when stopping driving, and the minimum speed v2 is obtained after a certain time of stopping driving, and the speed difference Δv=v1-v2 is calculated.

[0039] S3: Is the difference value of single start-stop less than a certain threshold a1? Record Δv

[0040] If not, go to S6: the liquid bearing is normal.

[0041] If yes, go to S7: warning level I, mark abnormal.

[0042] S4: Is the difference value of single start-stop greater than a certain threshold a2 and less than a threshold a3, and the standard deviation in the past 14 days is less than a threshold s1? That is, a2<Δv

[0043] If not, go to S8: the liquid bearing is normal.

[0044] If yes, go to S9: warning level II, pay attention to abnormal

[0045] S5: Is the start-stop difference gradually reduced for 14 consecutive days?

[0046] If not, go to S10: the liquid bearing is normal.

[0047] If yes, go to S11: warning level III, send a warning and check the tube state.

[0048] In this embodiment, warning level III is higher than warning level II, and warning level II is higher than warning level I.

[0049] In one exemplary embodiment, see in particular Figure 3 ,similar Figure 2 The illustrated embodiment describes the judgments and... Figure 2 The same applies, so I won't repeat it here. And Figure 2 The difference in the illustrated embodiment is that the judgments in steps S3, S4, and S5 are not performed step by step, but simultaneously. In this embodiment, there are cases where the judgment criterion of S3 is not met, but the judgment condition of S4 is directly met. In this case, an alarm for warning level II is triggered directly, excluding the alarm for warning level I. Similarly, there are also cases where alarms for warning levels I and II are not triggered, but an alarm for warning level III is triggered directly.

[0050] According to another aspect of the present disclosure, a non-transitory computer-readable storage medium storing a computer program is provided, wherein the computer program, when executed by a processor, implements a liquid bearing anomaly determination method according to any of the above embodiments of the present disclosure.

[0051] According to another aspect of the embodiments of this disclosure, a computer program product is proposed, including a computer program, wherein the computer program, when executed by a processor, implements the liquid bearing anomaly judgment method according to any of the above embodiments of this disclosure.

[0052] According to another aspect of the embodiments of this disclosure, an X-ray device is proposed, including an X-ray tube with a liquid bearing; and the liquid bearing abnormality judgment device in the above embodiments of this disclosure. In this embodiment, the X-ray device can be a medical X-ray machine, an industrial X-ray machine, a medical CT scanner, an industrial CT scanner, etc.; any device using a liquid bearing X-ray tube is within the scope of the embodiments of this disclosure.

[0053] This disclosure specifically discloses a method for remotely acquiring data during the operation of a X-ray tube, applying data analysis algorithms to identify X-ray tubes with bearing problems, and providing early reminders for tube replacement to avoid inconvenience to customers caused by interruptions in the scanning process. In this specific embodiment, the method involves continuously tracking and comparing the bearing speed data collected remotely during X-ray tube use, calculating the trend of speed increases and decreases in the captured data, and issuing an early warning if the rate of increase or decrease reaches a certain threshold, indicating a potential bearing problem and a risk of bearing jamming.

[0054] The specific embodiments disclosed herein have at least the following advantages:

[0055] 1. In remote cases, valid conclusions can be drawn without on-site visits and inspections. It is possible to predict in advance whether a bearing has a problem and the severity. Cost savings, customer time savings (avoidance of unplanned maintenance, impact on patient diagnosis).

[0056] 2. Based on sensor data, through precise algorithms, high reliability.

[0057] 3. Improve service quality, improve customer satisfaction and loyalty.

[0058] The various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a programmable logic device (PLD), a computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0059] Program code for carrying out methods of the present disclosure can be written in any combination of one or more programming languages. The program code can be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the program code, when executed by the processor or controller, produces the functions / operations specified in the flowcharts and / or the block diagrams. The program code can be executed entirely on a machine, partially on a machine, partially on a machine as a standalone software package, partially on a machine and partially on a remote machine or entirely on a remote machine or server.

[0060] In the context of the present disclosure, a computer-readable storage medium can be a tangible medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can be a computer-readable signal medium or a computer-readable storage medium. Computer-readable media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a computer-readable medium include, but are not limited to, an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0061] It should be understood that various forms of flow shown above can be used with orders of steps re-sequenced, added, or removed. For example, various steps recited in the disclosure can be performed in parallel, in series, or in a different order, without limitation herein, as long as the desired results of the technology disclosed in the disclosure can be achieved.

[0062] Although embodiments or examples of the present disclosure have been described with reference to the accompanying drawings, it should be understood that the above-described methods, systems, and devices are merely exemplary embodiments or examples, and the scope of the present disclosure is not limited by these embodiments or examples, but is only limited by the granted claims and their equivalent scope. Various elements in the embodiments or examples can be omitted or replaced by equivalent elements. In addition, each step can be performed in an order different from that described in the present disclosure. It is important that many of the elements described herein can be replaced by equivalent elements that appear after the present disclosure as technology evolves.

[0063] In addition, it should be noted that various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction, and in order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

Claims

1. A method for determining an abnormality of a liquid bearing, the method comprising: obtaining a friction-related feature of the liquid bearing; outputting an abnormality signal of the liquid bearing in response to the friction-related feature indicating that a friction of the liquid bearing is reduced in accordance with a specific condition; wherein the obtaining the friction-related feature of the liquid bearing comprises: obtaining a rotational speed drop-related feature of the liquid bearing in response to a first condition, the rotational speed drop-related feature being a rotational speed difference between a first rotational speed of the liquid bearing after a stop of a drive and a second rotational speed of the liquid bearing after a first time period; and wherein the specific condition is that the rotational speed difference is less than a first value, and the outputting the abnormality signal of the liquid bearing is outputting a first type of the abnormality signal of the liquid bearing; or the specific condition is that the rotational speed difference is between a second value and a third value, the second value being less than the third value, the third value being less than or equal to the first value, and a standard deviation of the rotational speed difference detected in a first time period is less than a fourth value, and the outputting the abnormality signal of the liquid bearing is outputting a second type of the abnormality signal of the liquid bearing, the second type of the abnormality signal having a higher level than the first type of the abnormality signal. 2.The method of claim 1, wherein the liquid bearing is used in an X-ray tube, and the first condition is a self-checking preheating stage of the X-ray tube after a start of the X-ray tube. 3.The method of claim 1, wherein the liquid bearing is used in an X-ray tube, and the first condition is that at least one of a temperature, a rotational speed, a tube voltage, and a tube current is equal to a specific value or belongs to a specific range. 4.The method of claim 1, wherein the specific condition is that the rotational speed difference detected in a second time period is gradually reduced, and the outputting the abnormality signal of the liquid bearing is outputting a third type of the abnormality signal of the liquid bearing, the third type of the abnormality signal having a higher level than the second type of the abnormality signal. 5.The method of claim 1, wherein the specific condition is that a maximum value and a minimum value of the rotational speed difference detected in a third time period are different by more than a fifth value, and the rotational speed difference detected in a fourth time period is gradually reduced, and the outputting the abnormality signal of the liquid bearing is outputting a fourth type of the abnormality signal of the liquid bearing. 6.The method of claim 5, wherein the specific condition is that the maximum value and the minimum value of the rotational speed difference detected in the third time period are different by more than a sixth value, and the rotational speed difference detected in the fourth time period is gradually reduced, and the outputting the abnormality signal of the liquid bearing is outputting a fifth type of the abnormality signal of the liquid bearing, the sixth value being greater than the fifth value, and the fifth type of the abnormality signal having a higher level than the fourth type of the abnormality signal. 7.A device comprising: at least one processor; and at least one memory including computer program codes, the at least one memory and the computer program codes configured to, with the at least one processor, cause the device to: obtain a friction-related feature of the liquid bearing; output an abnormality signal of the liquid bearing in response to the friction-related feature indicating that a friction of the liquid bearing is reduced in accordance with a specific condition; wherein the obtaining the friction-related feature of the liquid bearing comprises: obtaining a rotational speed drop-related feature of the liquid bearing in response to a first condition, the rotational speed drop-related feature being a rotational speed difference between a first rotational speed of the liquid bearing after a stop of a drive and a second rotational speed of the liquid bearing after a first time period; and wherein the specific condition is that the rotational speed difference is less than a first value, and the outputting the abnormality signal of the liquid bearing is outputting a first type of the abnormality signal of the liquid bearing; or the specific condition is that the rotational speed difference is between a second value and a third value, the second value being less than the third value, the third value being less than or equal to the first value, and a standard deviation of the rotational speed difference detected in a first time period is less than a fourth value, and the outputting the abnormality signal of the liquid bearing is outputting a second type of the abnormality signal of the liquid bearing, the second type of the abnormality signal having a higher level than the first type of the abnormality signal. ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ 7. A device for determining abnormalities in a liquid bearing, characterized in that, ​ ​ Computer storage medium storing a computer program which, when executed by the at least one processor, implements the method according to any one of claims 1-6.

8. A computer-readable storage medium storing a computer program, wherein, The computer program, when executed by the processor, implements the method according to any one of claims 1-6.

9. A computer program product comprising a computer program, wherein, The computer program, when executed by the processor, implements the method according to any one of claims 1-6.

10. An x-ray apparatus characterized by Comprising: X-ray tube with liquid bearing; Device for detecting abnormality of liquid bearing in claim 7.

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