On-line detection method and on-line detection system for lubricating oil abrasive dust

Abstract

The invention provides an on-line detection method and an on-line detection system for lubricating oil abrasive dust, and solves the problem that false detection particles influence the effectiveness of sensor detection. The online detection method for the lubricating oil abrasive dust comprises the following steps: acquiring original data and a first particle detection result from a first metal chip detection device; comparing the first particle detection result with a standard particle detection result, and analyzing real metal filing particles and false detection particles in the first particle detection result; calibrating signal characteristics of the real metal filing particles and the false detection particles according to the original data; designing a filter according to the signal characteristics of the real metal filing particles and the false detection particles; and the real metal filing particles and the false detection particles are detected on line through the filter.

Description

Technical Field

[0001] The present invention mainly relates to the technical field of aircraft engine health monitoring, and in particular to an online detection method and an online detection system for lubricating oil wear debris. Background Art

[0002] Engine wear status diagnosis based on lubricating oil analysis is an important condition monitoring and diagnostic method for engine health management. Offline monitoring technology or online monitoring technology can be used to monitor the physical properties of metal and non-metallic abrasive particles in the engine lubricating oil using optical, electrical, magnetic and other analytical methods to diagnose the wear properties, wear types and wear parts of the engine's transmission system and the mutual motion friction. Studies have shown that 50% of the results of offline monitoring and analysis did not find any problems, 45% showed that failure was about to occur, and only 5% detected serious problems. Offline detection not only consumes a lot of manpower and material resources, but also fails to diagnose faults in a timely manner. The wear of each component is a process from quantitative change to qualitative change, and the time when the process occurs is unknown, so it is necessary to monitor the oil online at all times to avoid the accidental nature of oil monitoring. Therefore, online monitoring of the performance and status of lubricating oil, increasing its service life, and ensuring its safe and efficient operation are of great significance to the diagnosis of engine wear status.

[0003] At present, the online detection of lubricating oil system wear in China faces the following problems: there are a large number of false detection particles generated by bubbles in the lubricating oil system test environment, which affects the effectiveness of sensor detection. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide an online detection method and an online detection system for lubricating oil wear debris, so as to solve the problem that false detection particles affect the effectiveness of sensor detection.

[0005] In order to solve the above technical problems, the present invention provides an online detection method for lubricating oil wear chips, including: acquiring original data and a first particle detection result from a first metal chip detection device; comparing the first particle detection result with the standard particle detection result, and analyzing the real metal chip particles and the false detection particles in the first particle detection result; calibrating the signal characteristics of the real metal chip particles and the false detection particles according to the original data; designing a filter according to the signal characteristics of the real metal chip particles and the false detection particles; and detecting the real metal chip particles and the false detection particles online through the filter.

[0006] Optionally, calibrating the signal characteristics of the real metal chip particles and the virtual detection particles according to the original data includes: constructing a signal time domain diagram and a signal frequency domain diagram of the real metal chip particles according to the original data; and constructing a signal time domain diagram and a signal frequency domain diagram of the virtual detection particles according to the original data.

[0007] Optionally, designing a filter based on the signal characteristics of the real metal chip particles and the virtual detection particles includes: obtaining the frequency of the real metal chip particles from the signal frequency domain diagram of the real metal chip particles; obtaining the frequency of the virtual detection particles from the signal frequency domain diagram of the virtual detection particles; and designing a filter based on the frequency of the real metal chip particles and the frequency of the virtual detection particles.

[0008] Optionally, the frequency corresponding to the amplitude peak in the signal frequency domain diagram of the real metal chip particles is used as the frequency of the real metal chip particles, and the frequency corresponding to the amplitude peak in the signal frequency domain diagram of the virtual detection particles is used as the frequency of the virtual detection particles.

[0009] Optionally, designing a filter according to the frequency of the real metal chip particles and the frequency of the virtual detection particles includes: setting the type of the filter to a low-pass filter; and setting the bandwidth of the filter to be within the frequency range of the real metal chip particles and outside the frequency of the virtual detection particles.

[0010] Optionally, the filter is a Butterworth filter.

[0011] Optionally, it also includes: obtaining the standard particle detection result from a standard chip detection device, the standard chip detection device includes a standard metal chip sensor, the first metal chip detection device includes a first metal chip sensor, and the first metal chip sensor and the standard metal chip sensor are installed in the same oil circuit.

[0012] Optionally, the first metal chip dust sensor and the standard metal chip dust sensor are of the same type.

[0013] Optionally, the first metal chip sensor is a ferromagnetic recording type metal chip sensor.

[0014] In order to solve the above technical problems, the present invention provides an online detection system for lubricating oil wear chips, including: a first metal chip detection device, used to collect raw data and calculate a first particle detection result; a standard chip detection device, used to output a standard particle detection result; a host computer, which is communicated with the first metal chip detection device and the standard chip detection device, and is used to execute the online detection method as described above.

[0015] Compared with the prior art, the present invention has the following advantages:

[0016] The lubricating oil wear chip online detection method and online detection system of the present invention calibrates the signal characteristics of the real metal chip particles and the false detection particles according to the original data, and designs a filter according to the signal characteristics, which can effectively reduce the false detection particles generated by bubbles in the metal chip sensor and improve the effectiveness of metal chip sensor detection. Due to the improved effectiveness of metal chip sensor detection, the present invention can reduce the maintenance cost caused by false alarms of metal chip particle excess due to false detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are included to provide a further understanding of the present application. They are included and constitute a part of the present application. The accompanying drawings illustrate embodiments of the present application and together with the present specification serve to explain the principles of the present invention. In the accompanying drawings:

[0018] Figure 1 4 is a system block diagram of an online detection system for lubricating oil wear debris according to an embodiment of the present invention.

[0019] Figure 2 4 is a flow chart of a method for online detection of lubricating oil wear debris according to an embodiment of the present invention.

[0020] Figure 3A It is a time domain diagram of a signal of real metal chip particles according to an embodiment of the present application.

[0021] Figure 3B A frequency domain diagram of a signal of real metal chip particles according to an embodiment of the present application.

[0022] Figure 4A FIG. 4 is a time domain diagram of a signal of a virtual detection particle according to an embodiment of the present application.

[0023] Figure 4B A frequency domain diagram of a signal of a virtual detection particle according to an embodiment of the present application.

[0024] Figure 5 It is an interface for designing filters using MATLAB's built-in filter design module.

[0025] Fig. 6A It is the time domain diagram of the voltage signal of the real metal chip particles after filtering.

[0026] Figure 6B It is the frequency domain diagram of the voltage signal of the real metal chip particles after filtering.

[0027] Fig. 7A It is the time domain diagram of the voltage signal of the virtual detection particle after filtering.

[0028] Figure 7B It is the frequency domain diagram of the voltage signal of the virtual detection particle after filtering. DETAILED DESCRIPTION

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

[0030] As the core and key components of aircraft, the health of aircraft engines is crucial to flight safety. Common wear-related failures are one of the main causes of engine failure. Detecting metal chips in lubricating oil can monitor the wear status of aircraft engines. In metal chip detection technology, online detection technology has the advantages of continuous, real-time and comprehensive compared to offline detection.

[0031] The present invention proposes an online detection system for metal chips in aviation engine lubricating oil based on online detection technology, which has great significance. Figure 1 1 is a system block diagram of an online lubricating oil wear debris detection system according to an embodiment of the present invention. Figure 1As shown, the lubricating oil wear debris online detection system 100 includes: a first metal chip detection device 11, a standard chip detection device 12 and a host computer 13. At present, foreign aircraft engine lubricating oil metal chip online detection devices are expensive and technically blocked. In other words, foreign aircraft engine lubricating oil metal chip online detection devices are a black box for users, which only outputs the detection results and cannot obtain the original data in the online detection device. This application uses the mature foreign aircraft engine lubricating oil metal chip online detection device as the standard chip detection device 12, and believes that the standard particle detection results output by the standard chip detection device 12 only include real metal chip particles and no false detection particles. The first metal chip detection device 11 is independently developed, and can not only output particle detection results, but also output original data. The original data includes but is not limited to voltage signals. The first metal chip detection device 11 includes a first metal chip sensor 111 and a first signal processing module 112. The working principle of the first metal chip detection device 11 is to install the first metal chip sensor 111 in the lubricating oil pipeline, and send the voltage signal generated when the worn metal chips pass through to the first signal processing module 112 based on the electromagnetic induction principle. The first signal processing module 112 calculates the size, quantity and other information of the metal chips according to the voltage signal, and determines the properties of the chips. The properties of the chips include ferromagnetism and non-ferromagnetism. The standard chip detection device 12 includes a standard metal chip sensor 121 and a second signal processing module 122. Among them, the first metal chip sensor 111 and the standard metal chip sensor 121 are installed in the same lubricating oil pipeline. Preferably, the first metal chip sensor 111 is a ferromagnetic recording type metal chip sensor. Optionally, the first metal chip sensor 111 and the standard metal chip sensor 121 are of the same type.

[0032] The host computer 13 is respectively connected to the first metal chip detection device 11 and the standard chip detection device 12 in communication. The host computer 13 is used to obtain the original data and the first particle detection result from the first metal chip detection device 11. The first particle detection result includes real metal chip particles and false detection particles. The host computer 13 is used to obtain the standard particle detection result from the standard chip detection device 12, compare the first particle detection result with the standard particle detection result, and analyze the real metal chip particles and false detection particles in the first particle detection result. The signal characteristics of the real metal chip particles and the false detection particles are calibrated according to the original data; the filter is designed according to the signal characteristics of the real metal chip particles and the false detection particles; the real metal chip particles and the false detection particles are detected online by the filter.

[0033] Figure 2 FIG. 1 is a flow chart of an online detection method for lubricating oil wear debris according to an embodiment of the present invention. The online detection method for lubricating oil wear debris can be performed by Figure 1 The host computer 13 in the embodiment is executed. Figure 2As shown, the lubricating oil wear debris online detection method 200 includes:

[0034] Step S21: acquiring raw data and a first particle detection result from a first metal chip sensor.

[0035] The original data includes but is not limited to the voltage signal. The first particle detection result includes real metal chip particles and false detection particles.

[0036] Step S22: Compare the first particle detection result with the standard particle detection result, and analyze the real metal chip particles and the false detection particles in the first particle detection result.

[0037] The standard particle detection result can be obtained in real time from the standard chip detection device 12, or can be obtained in advance and stored in the host computer 13. The standard particle detection result only includes real metal chip particles. The first particle detection result is compared with the standard particle detection result, and the particles in the first particle detection result that are not marked as real metal chip particles by the standard particle detection result are marked as virtual detection particles, and the rest are real metal chip particles.

[0038] Step S23: calibrating the signal characteristics of the real metal chip particles and the virtual detection particles according to the original data.

[0039] Optionally, step S23 includes:

[0040] Step S231: constructing a signal time domain diagram and a signal frequency domain diagram of real metal chip particles based on the original data. Plotting a signal time domain diagram and a signal frequency domain diagram of the voltage signal corresponding to the real metal chip particles. Figure 3A It is a time domain diagram of a signal of real metal chip particles according to an embodiment of the present application. Figure 3B Signal frequency domain diagram of real metal shavings particles according to an embodiment of the present application. Figure 3A In the signal time domain diagram shown, the horizontal axis is time and the vertical axis is voltage amplitude. The signal time domain diagram shows the change of amplitude over time. Figure 3A In the example, a real metal chip particle is detected at position 31. Figure 3B In the signal frequency domain diagram shown, the horizontal axis is frequency and the vertical axis is amplitude. The signal frequency domain diagram only shows the amplitude and frequency, but does not show the change of amplitude over time. Figure 3B In the signal frequency domain diagram, the frequency corresponding to the peak amplitude in the signal frequency domain diagram is the frequency of the real metal chip particles. In this embodiment, the peak amplitude in the signal frequency domain diagram is 0.1309 volts, and the frequency of the real metal chip particles is 192 Hz (Hertz).

[0041] Step S232: constructing a signal time domain diagram and a signal frequency domain diagram of the virtual detection particle according to the original data.

[0042] Similarly, the signal time domain diagram and signal frequency domain diagram of the voltage signal corresponding to the virtual detection particle are plotted. Figure 4A FIG. 4 is a time domain diagram of a signal of a virtual detection particle according to an embodiment of the present application. Figure 4B Signal frequency domain diagram of virtual detection particles according to an embodiment of the present application. Figure 4B In the frequency domain diagram of the signal of the virtual particle, the frequency corresponding to the peak value of the amplitude in the frequency domain diagram of the virtual particle is the frequency of the virtual particle. In this embodiment, the peak value of the amplitude in the frequency domain diagram of the signal is 0.2509 volts, and the frequency of the virtual particle is 236 Hz (Hertz).

[0043] Step S24: Designing a filter according to the signal characteristics of the real metal chip particles and the virtual detection particles.

[0044] Optionally, step S24 includes:

[0045] Step S241: Analyze the frequency of the real metal chip particles from the signal frequency domain diagram of the real metal chip particles.

[0046] Step S242: Analyze the frequency of the virtual detection particles from the signal frequency domain diagram of the virtual detection particles.

[0047] Step S243: designing a filter according to the frequency of the real metal chip particles and the frequency of the virtual detection particles.

[0048] Optionally, designing a filter according to the frequency of real metal chip particles and the frequency of virtual detection particles includes: setting the filter type to a low-pass filter; determining whether the frequency of real metal chip particles is less than the frequency of virtual detection particles, and if so, setting the filter band cutoff frequency to be less than the frequency of virtual detection particles. Figure 5 It is an interface for designing filters using the filter design module provided by MATLAB. Figure 5As shown, 1 represents the type of filter, which is divided into low-pass filtering, high-pass filtering, band-pass filtering, band-stop filtering and differentiation; 2 represents the design method of the filter, which is divided into: IIR and FIR. The characteristic of FIR filter is that it can ensure that the phase-frequency characteristics of the output digital signal remain strictly linear after inputting a digital signal with arbitrary amplitude-frequency characteristics. In addition, FIR has a finite-length pulse sampling response characteristic and is relatively stable. However, only when the order of the FIR filter reaches several to ten times that of the IIR filter, its amplitude response can be comparable to that of the IIR filter. In addition, the filtering process of the FIR filter generally requires more computing time; 3 represents the filter order, including the two options of specify order and minimize order. If the specified order is selected, specifyorder=N, and the actual generated filter order is N+1. If the order is minimized, the software will automatically select the minimum order suitable for the type of filter selected by the designer; 4 represents the frequency specification option, in which various frequency band parameters of the filter can be freely defined, including the frequency band cutoff frequency and sampling rate. The specific sub-options of this option are determined by the filter type option and the filter design option; the amplitude-frequency characteristics and phase-frequency characteristics of the designed filter are displayed in real time at 5 locations.

[0049] According to the signal characteristics of metal chip particles, a broadband filtering IIR filter is selected, and since the Butterworth filter is the flattest in the passband, the Butterworth filter is selected. The frequencies of the real metal chip particles and the frequencies of the virtual detection particles obtained by step S241 and step S242, the broadband of the filter is set within the frequency band of the metal chip particles and outside the frequency band of the virtual detection particles, which can effectively filter out bubbles and retain metal chip particles. Taking the frequency of the real metal chip particles as 192Hz and the frequency of the virtual detection particles as 236Hz as an example, the Butterworth filter is selected and the broadband of the filter is set between 150HZ-200HZ.

[0050] Step S25: Detecting real metal chip particles and false detection particles online through a filter.

[0051] The designed filter is taken as Figure 1 The first signal processing module 112. Fig. 6A It is the time domain diagram of the voltage signal of the real metal chip particles after filtering. Figure 6B It is the frequency domain diagram of the voltage signal of the real metal chip particles after filtering. Fig. 7A It is the time domain diagram of the voltage signal of the virtual detection particle after filtering. Figure 7B This is the frequency domain diagram of the voltage signal of the virtual detection particle after filtering. Figure 3B and Figure 6B It can be seen that the voltage signal of the real metal chip particles is retained. Figure 4B and Figure 7B It can be seen that the voltage signal of the false detection particle is filtered out. It can be seen that the designed filter can effectively filter out the false detection signal.

[0052] The lubricating oil wear chip online detection method of the present invention calibrates the signal characteristics of real metal chip particles and false detection particles according to the original data, and designs a filter according to the signal characteristics, which can effectively reduce the false detection particles generated by the metal chip sensor due to bubbles and improve the effectiveness of the metal chip sensor detection; due to the improved effectiveness of the metal chip sensor detection, the present invention can reduce the maintenance cost caused by the false alarm of the metal chip particle exceeding the limit due to false detection.

[0053] The basic concepts have been described above. Obviously, for those skilled in the art, the above invention disclosure is only used as an example and does not constitute a limitation of the present application. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements and amendments to the present application. Such modifications, improvements and amendments are suggested in the present application, so such modifications, improvements and amendments still belong to the spirit and scope of the exemplary embodiments of the present application.

[0054] At the same time, the present application uses specific words to describe the embodiments of the present application. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of the present application. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in different positions in this specification does not necessarily refer to the same embodiment. In addition, some features, structures or characteristics in one or more embodiments of the present application can be appropriately combined.

[0055] As shown in this application and claims, unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular and may also include the plural. Generally speaking, the terms "include" and "comprise" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0056] Unless otherwise specifically stated, the relative arrangement, numerical expressions and numerical values ​​of the parts and steps set forth in these embodiments do not limit the scope of the present application. At the same time, it should be understood that, for ease of description, the sizes of the various parts shown in the accompanying drawings are not drawn according to the actual proportional relationship. The technology, method and equipment known to those of ordinary skill in the relevant field may not be discussed in detail, but in appropriate cases, the technology, method and equipment should be considered as a part of the authorization specification. In all examples shown and discussed here, any specific value should be interpreted as being merely exemplary, rather than as a limitation. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so that once a certain item is defined in an accompanying drawing, it does not need to be further discussed in subsequent drawings.

[0057] In the description of the present application, it should be understood that the directions or positional relationships indicated by directional words such as "front, back, up, down, left, right", "lateral, vertical, perpendicular, horizontal" and "top, bottom" are usually based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present application and simplifying the description. Unless otherwise specified, these directional words do not indicate or imply that the device or element referred to must have a specific direction or be constructed and operated in a specific direction, and therefore cannot be understood as limiting the scope of protection of the present application; the directional words "inside and outside" refer to the inside and outside relative to the outline of each component itself.

[0058] For ease of description, spatially relative terms such as "above", "above", "on the upper surface of", "above", etc. may be used here to describe the spatial positional relationship between a device or feature and other devices or features as shown in the figure. It should be understood that spatially relative terms are intended to include different orientations of the device in use or operation in addition to the orientation described in the figure. For example, if the device in the accompanying drawings is inverted, the device described as "above other devices or structures" or "above other devices or structures" will be positioned as "below other devices or structures" or "below other devices or structures". Thus, the exemplary term "above" may include both "above" and "below". The device may also be positioned in other different ways (rotated 90 degrees or in other orientations), and the spatially relative descriptions used here are interpreted accordingly.

[0059] In addition, it should be noted that the use of words such as "first" and "second" to define components is only for the convenience of distinguishing the corresponding components. If not otherwise stated, the above words have no special meaning and cannot be understood as limiting the scope of protection of this application. In addition, although the terms used in this application are selected from well-known and commonly used terms, some terms mentioned in the specification of this application may be selected by the applicant at his or her discretion, and their detailed meanings are explained in the relevant parts of the description of this article. In addition, it is required to understand this application not only by the actual terms used, but also by the meaning implied by each term.

[0060] Flowcharts are used in the present application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps may be processed in reverse order or simultaneously. At the same time, other operations may be added to these processes, or one or more operations may be removed from these processes.

[0061] Some aspects of the present application may be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". The processor may be one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DAPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, or combinations thereof. In addition, various aspects of the present application may be expressed as computer products located in one or more computer-readable media, which include computer-readable program codes. For example, computer-readable media may include, but are not limited to, magnetic storage devices (e.g., hard disks, floppy disks, tapes ...), optical disks (e.g., compact disks CDs, digital versatile disks DVDs ...), smart cards, and flash memory devices (e.g., cards, sticks, key drives ...).

[0062] A computer-readable medium may include a propagated data signal containing computer program code, such as in baseband or as part of a carrier wave. The propagated signal may have a variety of manifestations, including electromagnetic, optical, etc., or a suitable combination. A computer-readable medium may be any computer-readable medium other than a computer-readable storage medium, which may be connected to an instruction execution system, device or apparatus to communicate, propagate or transmit a program for use. The program code on the computer-readable medium may be propagated via any suitable medium, including radio, cable, fiber optic cable, radio frequency signal, or similar medium, or any combination of the above mediums.

[0063] Similarly, it should be noted that in order to simplify the description of the disclosure of this application and thus help understand one or more embodiments of the invention, in the above description of the embodiments of this application, multiple features are sometimes combined into one embodiment, figure or description thereof. However, this disclosure method does not mean that the features required by the object of this application are more than the features mentioned in the claims. In fact, the features of the embodiments are less than all the features of the single embodiment disclosed above.

[0064] In some embodiments, numbers describing the number of components and attributes are used. It should be understood that such numbers used in the description of the embodiments are modified by the modifiers "about", "approximately" or "substantially" in some examples. Unless otherwise specified, "about", "approximately" or "substantially" indicate that the numbers are allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which may change according to the required features of individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining digits. Although the numerical domains and parameters used to confirm the breadth of their range in some embodiments of the present application are approximate values, in specific embodiments, the setting of such numerical values ​​is as accurate as possible within the feasible range.

[0065] Although the present application has been described with reference to the current specific embodiments, ordinary technicians in this technical field should recognize that the above embodiments are only used to illustrate the present application, and various equivalent changes or substitutions may be made without departing from the spirit of the present application. Therefore, as long as the changes and modifications to the above embodiments are within the essential spirit of the present application, they will fall within the scope of the claims of the present application.

Claims

1. A method for online detection of lubricating oil wear debris, characterized in that: include: Acquire raw data and a first particle detection result from a first metal chip detection device; Comparing the first particle detection result with the standard particle detection result, and analyzing the real metal chip particles and the false detection particles in the first particle detection result; Calibrate the signal characteristics of the real metal chip particles and the virtual detection particles according to the original data; Designing a filter according to the signal characteristics of the real metal chip particles and the virtual detection particles; The real metal chip particles and the false detection particles are detected online through the filter.

2. The online detection method according to claim 1, characterized in that: Calibrating the signal characteristics of the real metal chip particles and the virtual detection particles according to the original data includes: Constructing a signal time domain diagram and a signal frequency domain diagram of the real metal chip particles according to the original data; A signal time domain diagram and a signal frequency domain diagram of the virtual detection particle are constructed according to the original data.

3. The online detection method according to claim 2, characterized in that: Designing a filter according to the signal characteristics of the real metal chip particles and the virtual detection particles includes: Acquire the frequency of the real metal chip particles from the signal frequency domain diagram of the real metal chip particles; Acquire the frequency of the virtual detection particle from the signal frequency domain diagram of the virtual detection particle; A filter is designed according to the frequency of the real metal chip particles and the frequency of the virtual detection particles.

4. The online detection method according to claim 3, characterized in that: The frequency corresponding to the amplitude peak in the signal frequency domain diagram of the real metal chip particles is used as the frequency of the real metal chip particles, and the frequency corresponding to the amplitude peak in the signal frequency domain diagram of the virtual detection particles is used as the frequency of the virtual detection particles.

5. The online detection method according to claim 3, characterized in that: Designing a filter according to the frequency of the real metal chip particles and the frequency of the virtual detection particles includes: Set the filter type to low-pass filter; The bandwidth of the filter is set to be within the frequency range of real metal chip particles and outside the frequency of virtual detection particles.

6. The online detection method according to claim 5, characterized in that: The filter is a Butterworth filter.

7. The online detection method according to claim 1, characterized in that: Also includes: The standard particle detection result is obtained from a standard chip detection device, wherein the standard chip detection device includes a standard metal chip sensor, and the first metal chip detection device includes a first metal chip sensor, wherein the first metal chip sensor and the standard metal chip sensor are installed in the same oil circuit.

8. The online detection method according to claim 7, characterized in that: The first metal chip dust sensor and the standard metal chip dust sensor are of the same type.

9. The online detection method according to claim 8, characterized in that: The first metal chip sensor is a ferromagnetic recording type metal chip sensor.

10. An online detection system for lubricating oil wear debris, characterized in that: include: A first metal chip detection device, used to collect raw data and calculate a first particle detection result; Standard dust detection device, used to output standard particle detection results; A host computer is communicatively connected with the first metal chip detection device and the standard chip detection device, and is used to execute the online detection method according to any one of claims 1 to 9.

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