Method for analyzing influence of signal transmission cable under strong vibration on performance of lubricating oil sensor

Abstract

The application provides a method for analyzing the influence of signal transmission cable under strong vibration on the performance of a lubricating oil sensor, which comprises the following steps: calculating the variation of the distribution capacitance of the aero-insert under different vibration conditions, establishing an aero-insert capacitance calculation model, setting the boundary conditions of the aero-insert analysis model, carrying out grid division, setting the aero-insert analysis model solution, calculating the capacitance value caused by the displacement variation of the aero-insert needle under different vibration conditions, establishing an aero-insert analysis model, analyzing the influence of the capacitance value on the output characteristics of the lubricating oil sensor, and comparing the voltage amplitude of the normal ferromagnetic particles to determine whether the false detection phenomenon will occur. The application establishes a semi-analytical solution of the influence of the vibration environmental factors on the sensor cable on the output characteristics of the sensor, effectively analyzes the variation of the distribution capacitance under different vibration conditions and the influence variation law of the distribution capacitance on the performance of the sensor, and reduces the cost, shortens the research period and reduces the environmental interference.

Description

Technical Field

[0001] This invention belongs to the field of oil special condition monitoring technology, and in particular, it is a method for analyzing the impact of signal transmission cables on the performance of lubricating oil sensors under strong vibration. Background Technology

[0002] The lubricating oil sensor operates over a wide temperature range and is subjected to strong engine vibrations. Under the combined effects of temperature changes and vibrations, the resonant output circuit of the lubricating oil sensor may be interfered with, leading to false detections. The distributed capacitance of the signal transmission cable may change slightly due to vibration, which in turn affects the amplitude and phase of the feedback signal, thus causing false detections. Changes in the distributed capacitance between the excitation and feedback pins in the electrical connector may also lead to false detections. By studying the differences in characteristics between false detection signals and real metal chip signals, and conducting qualitative or quantitative analysis of the causes of false detections, interference can be suppressed to an acceptable level.

[0003] The online lubricating oil particle monitoring system comprises three parts: a sensor, a data processing unit, and a sensor cable, forming an integrated whole. The engine environment is complex; under strong vibration, the distributed capacitance of the signal transmission cable changes slightly due to vibration. Interference signals inevitably enter the online lubricating oil particle monitoring system through various means, resulting in false alarms. Therefore, for lubricating oil particle signal sensors, considering vibration environmental factors, it is urgent and necessary to find a method to analyze the impact of signal transmission cables on lubricating oil sensor performance under strong vibration, in order to optimize sensor performance, improve system detection rate, and reduce false alarm rate. Summary of the Invention

[0004] This invention addresses the shortcomings of existing technologies by proposing a method for analyzing the impact of signal transmission cables on the performance of lubricating oil sensors under strong vibration. The method includes calculating the change in distributed capacitance of the connector under different vibration conditions, establishing a connector capacitance calculation model, setting boundary conditions for the connector analysis model, mesh generation, setting the solution for the connector analysis model, calculating the capacitance value caused by the change in connector pin displacement under different vibration conditions, establishing a connector analysis model, analyzing the impact of the capacitance value on the output characteristics of the lubricating oil sensor, and comparing it with the voltage amplitude of normal ferromagnetic particles to determine whether it will cause false detections. This invention addresses the problem of the transmission cable's impact on the sensor's output characteristics by establishing a semi-analytical solution for the influence of vibration environmental factors on the sensor's output characteristics. It effectively analyzes the changes in distributed capacitance under different vibration conditions and the changing law of the distributed capacitance's impact on sensor performance. The proposed method reduces construction costs, shortens the research cycle, and reduces environmental interference.

[0005] This invention provides a method for analyzing the impact of signal transmission cables on the performance of lubricating oil sensors under strong vibration, which includes the following steps:

[0006] S1. Calculate the change in distributed capacitance of the air-mounted connector under different vibration conditions: Based on the structural dimensions of the air-mounted connector of the lubricating oil sensor signal transmission cable, establish a three-dimensional geometric model of the air-mounted connector; the pin coordinates of the air-mounted connector are A(+l1,+l2), B(+l3,0), C(+l4,-l4), D(0,-l3), E(-l4,-l4), F(-l3,0), G(-l1,+l2), H(0,+l5), where l1, l2, l3, l4, l5 represent the first, second, third, fourth, and fifth structural dimensions of the air-mounted connector, respectively;

[0007] S2. Establish the calculation model of the aircraft connector capacitor: Select the electromagnetic module of the aircraft connector, set the pin position, pin diameter and material properties, draw the geometric model, and construct the capacitance matrix. The capacitance matrix represents the comprehensive relationship between the voltage, capacitance and charge of the grounding conductor in the aircraft connector.

[0008]

[0009] Where Q1, Q2, and Q3 represent the charge quantities of the first, second, and third grounding conductors, respectively; V1, V2, and V3 represent the voltage quantities of the first, second, and third grounding conductors, respectively; C 11 C 12 C 13 These represent the capacitances between the first grounding conductor and the first, second, and third grounding conductors, respectively; C 21 C 22 C 23 These represent the capacitances between the second grounding conductor and the first, second, and third grounding conductors, respectively; C 31 C 32 C 33 These represent the capacitances between the third grounding conductor and the first, second, and third grounding conductors, respectively.

[0010] S3. Set the boundary conditions for the flight insertion analysis model;

[0011] S4. Mesh generation: Adaptive meshing is used to generate meshes for the probe and air domains respectively. The probe is densified, the refinement method is the longest, the cell selection is preliminary global minimization, the cell growth rate is 1.7, and the order of the stable estimation derivative is 2.

[0012] S5. Solution settings for the aerial insertion analysis model;

[0013] S6. Calculate the capacitance value caused by the displacement change of the probe pin under different vibration conditions: Based on finite element analysis, calculate the capacitance value caused by the distance between the excitation end and the feedback end of the probe under different vibration conditions.

[0014] S7. Establish a flight insertion analysis model, which is a mathematical model of the effect of capacitance value on the magnetic field disturbance of micro-equilibrium;

[0015] S8. Analyze the effect of the capacitance value obtained in step S6 on the output characteristics of the lubricating oil sensor: Substitute the capacitance value caused by the distance between the excitation end and the feedback end of the air sputtering device under different vibration conditions obtained in step S6 into the air sputtering device analysis model established in step S7, and calculate the amplitude of the output voltage. If it is lower than the voltage amplitude of normal ferromagnetic particles, it will not cause false detection.

[0016] Furthermore, step S7 specifically includes the following steps:

[0017] S71. In the micro-balancing system, excitation coil 1 and feedback coil form capacitor C1, and excitation coil 2 and feedback coil form capacitor C2, forming an AC bridge.

[0018] S72. When driven by an excitation voltage V0 and an excitation frequency w, as the bubble passes through capacitor C1, the capacitance change caused by polarization charge and transferred charge leads to an imbalance in the AC bridge, and the current between the electrodes is:

[0019] I=Nqv / l(7)

[0020] Where l represents the electrode spacing; I represents the current; v represents the velocity; q represents the charge; and N represents the electrode.

[0021] S73, the balanced capacitor bridge is:

[0022] (C1+C2)dV0 / dt+V0 / R=I (8)

[0023] Where R represents resistance;

[0024] S74. Substituting equation (7) into equation (8) yields:

[0025] (C1+C2)dV0 / dt=Nqv / l (9);

[0026] S75, the magnitude of the electric field E is:

[0027] E=(V / l)sinwt (10)

[0028] Where t represents time;

[0029] S76. Taking into account the Lorentz force and neglecting power loss, the derivative is:

[0030]

[0031] dv y / dt=-wv x (12)

[0032] Among them, v x ,v y These represent the velocities in the x and y directions, respectively; w T V represents the ion oscillation frequency; p Indicates the amplitude of the excitation voltage; m represents the mass;

[0033] After sorting:

[0034]

[0035] Where w1 represents the frequency of the alternating electric field;

[0036] S77. When the initial conditions are velocity v = 0 and time t = 0, we have:

[0037] v x =(qV p / 2ml)tsinwt (14);

[0038] S78. Considering the equivalent circuit amplification factor, the output voltage V is obtained after simplification. OUT :

[0039]

[0040] Where G0 represents the amplification factor; R1 and R2 represent the first and second resistors, respectively; wt+θ represents the excitation voltage phase, θ represents the initial phase of the excitation voltage; and j represents a complex number.

[0041] Preferably, step S3 specifically includes the following steps:

[0042] S31. The electric scalar potential V must satisfy the Poisson equation:

[0043]

[0044] Where ε0 represents the free space permittivity; ε r Represents relative permittivity; ρ represents space charge density; Represents the gradient;

[0045] S32. Obtain the electric field E and displacement D from the gradient of the electric scalar potential V:

[0046]

[0047] D=ε0ε r E (4);

[0048] S33. The internal boundary conditions of the aerial propulsion analysis model are obtained from surface charge:

[0049] -n·D=ρ (5)

[0050] Where n represents the normal vector of the boundary;

[0051] S34. Set excitation and feedback terminals: Set A and D as excitation terminals and D and E as feedback terminals.

[0052] Preferably, step S5 specifically includes the following steps:

[0053] S51. Select a steady-state iterative solver, that is, solve only the partial derivatives in space:

[0054]

[0055] Where c represents the coefficient term of the partial differential equation; f represents the source term after transformation into a system of linear equations; and u represents the solution vector with the number of degrees of freedom.

[0056] S52. Select the iterative solver Conjugate Gradient;

[0057] S53. Observe the electric field intensity distribution cloud map and capacitance value.

[0058] Preferably, in step S3, when the conditions are assumed to be electrostatic, the potential of the entire surface of each electrode must be the same; otherwise, the current will flow through the grounded conductor. It is assumed that both air and dielectric are ideal insulators.

[0059] Preferably, in step S34, the excitation terminal and the feedback terminal are both voltage-type terminals, with the voltage amplitude of the excitation terminal being 1V and the voltage amplitude of the feedback terminal being 0V.

[0060] Preferably, in step S2, the pin material is copper, with a relative permeability of 1, a relative permittivity of 1, and a conductivity of 5.998×107S / m.

[0061] Preferably, in step S4, the mesh refinement method for the pins is the longest, the cell selection is the initial global minimization, the cell growth rate is 1.7, and the stable estimation derivative order is 2.

[0062] Compared with the prior art, the technical effects of the present invention are as follows:

[0063] 1. This invention presents a method for analyzing the impact of signal transmission cables on the performance of lubricating oil sensors under strong vibration. Addressing the issue of the transmission cable's influence on the sensor's output characteristics, a semi-analytical solution is established to analyze the impact of vibration environment factors on the sensor's output characteristics. This effectively analyzes the changes in distributed capacitance under different vibration conditions and the variation law of distributed capacitance's influence on sensor performance, thus providing a reference for the design optimization of sensor transmission cables.

[0064] 2. The present invention proposes a method for analyzing the impact of signal transmission cables on the performance of lubricating oil sensors under strong vibration. Compared with current methods that mainly rely on experimental research, the proposed method significantly reduces costs, shortens the research cycle, and reduces environmental interference. It can effectively carry out large-scale analysis and research, and establishes a theoretical analysis method for lubricating oil sensors in strong vibration environments. Attached Figure Description

[0065] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings.

[0066] Figure 1 This is a flowchart of the method for analyzing the impact of signal transmission cables on the performance of lubricating oil sensors under strong vibration, as described in this invention.

[0067] Figure 2 This is a schematic diagram of a capacitor matrix system according to a specific embodiment of the present invention;

[0068] Figure 3 This is a schematic diagram of the electric field intensity distribution cloud map of a specific embodiment of the present invention;

[0069] Figure 4 This is a schematic diagram of the AC bridge of the present invention;

[0070] Figure 5 This is a schematic diagram of the sensor output characteristics when the distance between the excitation end and the feedback end of the present invention changes by 0.3 mm. Detailed Implementation

[0071] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0072] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0073] Figure 1 This invention illustrates a method for analyzing the impact of signal transmission cables under strong vibration on the performance of lubricating oil sensors. The method includes the following steps:

[0074] S1. Calculate the change in distributed capacitance of the air-mounted connector under different vibration conditions: Based on the structural dimensions of the air-mounted connector of the lubricating oil sensor signal transmission cable, establish a three-dimensional geometric model of the air-mounted connector; the pin coordinates of the air-mounted connector are A(+l1,+l2), B(+l3,0), C(+l4,-l4), D(0,-l3), E(-l4,-l4), F(-l3,0), G(-l1,+l2), H(0,+l5), where l1, l2, l3, l4, l5 represent the first, second, third, fourth, and fifth structural dimensions of the air-mounted connector, respectively. In one specific embodiment, A(+1.65,+3.99), B(+4.32,+0.00), C(+3.05,-3.05), D(+0.00,-4.32), E(-3.05,-3.05), F(-4.32,+0.00), G(-1.65,+3.99), and H(0.00,+1.12).

[0075] S2. Establish the calculation model for the aircraft connector capacitor: Select the electromagnetic module of the aircraft connector, set the pin position, pin diameter, and material properties, draw the geometric model, and construct the capacitor matrix, such as... Figure 2 As shown, the pin material is copper, with a relative permeability of 1, a relative permittivity of 1, and a conductivity of 5.998×10⁷ S / m.

[0076] The capacitance matrix represents the comprehensive relationship between the voltage, capacitance, and charge of the grounding conductor in the aircraft socket.

[0077]

[0078] Where Q1, Q2, and Q3 represent the charge quantities of the first, second, and third grounding conductors, respectively; V1, V2, and V3 represent the voltage quantities of the first, second, and third grounding conductors, respectively; C 11 C 12 C 13 These represent the capacitances between the first grounding conductor and the first, second, and third grounding conductors, respectively; C 21 C 22 C 23 These represent the capacitances between the second grounding conductor and the first, second, and third grounding conductors, respectively; C 31 C 32 C 33 These represent the capacitances between the third grounding conductor and the first, second, and third grounding conductors, respectively.

[0079] The capacitance matrix represents the relationship between the charge and voltage values ​​of three grounded conductors. The capacitance matrix is ​​3×3 dimensional. If there are n conductors, the capacitance matrix can be changed to n×n dimensional.

[0080] S3. Set the boundary conditions for the aero-insertion analysis model; assuming electrostatic conditions, the potential of the entire surface of each electrode must be the same, otherwise the current will flow through the grounded conductor; assuming that air and dielectric are both ideal insulators.

[0081] S31. The electric scalar potential V must satisfy the Poisson equation:

[0082]

[0083] Where ε0 represents the free space permittivity; ε r ρ represents relative permittivity; ρ represents space charge density; ▽ represents gradient.

[0084] S32. Obtain the electric field E and displacement D from the gradient of the electric scalar potential V:

[0085]

[0086] D=ε0ε r E (4).

[0087] S33. The internal boundary conditions of the aerial propulsion analysis model are obtained from surface charge:

[0088] -n·D=ρ (5)

[0089] Where n represents the normal vector of the boundary.

[0090] S34. Set excitation and feedback terminals: Set A and D as excitation terminals, and D and E as feedback terminals. The termination type of both excitation and feedback terminals is voltage, with the voltage amplitude of the excitation terminals being 1V and the voltage amplitude of the feedback terminals being 0V.

[0091] S4. Mesh generation: Adaptive meshing is used to generate meshes for the insertion and air domains respectively. The insertion domains are refined to improve calculation accuracy. The refinement method is the longest, the cell selection is preliminary global minimization, the cell growth rate is 1.7, and the order of the stable estimation derivative is 2.

[0092] S5, Solution settings for the aerospace analysis model.

[0093] S51. Select a steady-state iterative solver, i.e., solve only the partial derivatives in space. Furthermore, this problem is nonlinear, and the coefficient term includes a dependent variable function.

[0094]

[0095] Where c represents the coefficient term of the partial differential equation; f represents the source term after being transformed into a system of linear equations; and u represents the solution vector with the number of degrees of freedom.

[0096] S52. In order to ensure fast computation and high memory efficiency, the iterative solver Conjugate Gradient is mainly used to solve symmetric positive definite problems.

[0097] S53. Observe the electric field intensity distribution cloud map and capacitance value. In a specific embodiment, the post-processing observes the information when the sensor reaches a stable state, and processes and analyzes the results. The electric field intensity distribution cloud map is shown below. Figure 3 As shown.

[0098] S6. Calculate the capacitance value caused by the displacement change of the probe pin under different vibration conditions: Based on finite element analysis, calculate the capacitance value caused by the distance between the probe excitation end and the feedback end under different vibration conditions.

[0099] In one specific embodiment, depending on the actual situation, the spacing between the pins of the aircraft insert is generally between 0.1 mm and 0.3 mm under strong vibration conditions. The capacitance values ​​of the excitation and feedback ends of the aircraft insert are calculated for spacings of 0.3 mm, 0.2 mm, and 0.1 mm under different vibration conditions. When the spacing between the excitation and feedback ends is 0.3 mm, the capacitance value calculated based on the finite element method is 0.006 pF; when the spacing is 0.2 mm, the capacitance value calculated based on the finite element method is 0.0036 pF; and when the spacing is 0.1 mm, the capacitance value calculated based on the finite element method is 0.0028 pF.

[0100] S7. Establish the aero-spewing analysis model, which is a mathematical model of the effect of capacitance value on the magnetic field disturbance of micro-equilibrium.

[0101] S71. In the micro-balancing system, excitation coil 1 and feedback coil form capacitor C1, and excitation coil 2 and feedback coil form capacitor C2, forming an AC bridge, as shown. Figure 4 As shown.

[0102] S72. When driven by an excitation voltage V0 and an excitation frequency w, as the bubble passes through capacitor C1, the capacitance change caused by polarization charge and transferred charge leads to an imbalance in the AC bridge, and the current between the electrodes is:

[0103] I=Nqv / l (7)

[0104] Where l represents the electrode spacing; I represents the current; v represents the velocity; q represents the charge; and N represents the electrode.

[0105] S73, the balanced capacitor bridge is:

[0106] (C1+C2)dV0 / dt+V0 / R=I (8)

[0107] Where R represents resistance.

[0108] S74. Substituting equation (7) into equation (8) yields:

[0109] (C1+C2)dV0 / dt=Nqv / l (9).

[0110] S75, the magnitude of the electric field is:

[0111] E=(V / l)sinwt (10)

[0112] Where t represents time.

[0113] S76. Taking into account the Lorentz force and neglecting power loss, the derivative is:

[0114]

[0115] dv y / dt=-wv x (12)

[0116] Among them, v x ,v y These represent the velocities in the x and y directions, respectively; w T V represents the ion oscillation frequency; p represents the amplitude of the excitation voltage; m represents the mass; d is the differential symbol.

[0117] After sorting:

[0118]

[0119] Where w1 represents the frequency of the alternating electric field.

[0120] S77. When the initial conditions are velocity v = 0 and time t = 0, we have:

[0121] v x =(qV p / 2ml)tsinwt(14).

[0122] S78. Considering the equivalent circuit amplification factor, the output voltage V is obtained after simplification. OUT :

[0123]

[0124] Where G0 represents the amplification factor; R1 and R2 represent the first and second resistors, respectively; wt+θ represents the excitation voltage phase, θ represents the initial phase of the excitation voltage; and j represents a complex number.

[0125] S8. Analyze the effect of the capacitance value obtained in step S6 on the output characteristics of the lubricating oil sensor: Substitute the capacitance value caused by the distance between the excitation end and the feedback end of the air sputtering device under different vibration conditions obtained in step S6 into the air sputtering device analysis model established in step S7, and calculate the amplitude of the output voltage. If it is lower than the voltage amplitude of normal ferromagnetic particles, it will not cause false detection.

[0126] In one specific embodiment, when the distance between the excitation and feedback ends of the sensor insertion device changes by 0.3 mm, the capacitance value calculated based on the finite element method is 0.006 pF. Substituting this into the insertion device analysis model, it can be seen that the resulting output voltage amplitude is 0.67 μV, while normal ferromagnetic particles will produce 20 μV. Therefore, when the sensor insertion device is subjected to strong vibration, the displacement change between the excitation and feedback ends is 0.3 mm, which will not cause false detection. When the distance between the excitation and feedback ends changes by 0.2 mm, the capacitance value calculated based on the finite element method is 0.0036 pF. Substituting this into the insertion device analysis model, it can be seen that the resulting output voltage amplitude is 0.82 μV, while normal ferromagnetic particles will produce 20 μV. Therefore, when the sensor insertion device is subjected to strong vibration, the displacement change between the excitation and feedback ends is 0.2 mm, which will not cause false detection. When the distance between the excitation and feedback ends changes by 0.1 mm, the capacitance value calculated based on the finite element method is 0.0028 pF. Substituting this into the aero-insertion analysis model, it can be seen that the resulting output voltage amplitude is 1 μV, while normal ferromagnetic particles will generate 20 μV. Figure 5 As shown, when the sensor connector is subjected to vibration, the displacement change of the excitation end and the feedback end is 0.1mm, which will not cause false detection.

[0127] This invention presents a method for analyzing the impact of signal transmission cables on the performance of lubricating oil sensors under strong vibration. Addressing the issue of the transmission cable's influence on the sensor's output characteristics, a semi-analytical solution is established to analyze the effect of vibration environment factors on the sensor's output characteristics. This effectively analyzes the changes in distributed capacitance under different vibration conditions and the influence of distributed capacitance on sensor performance, thus providing a reference for the design optimization of sensor transmission cables. Compared to current methods that mainly rely on experimental research, the proposed method significantly reduces costs, shortens the research cycle, and minimizes environmental interference. It can effectively conduct large-scale analysis and research, establishing a theoretical analysis method for lubricating oil sensors in strong vibration environments.

[0128] Finally, it should be noted that the above embodiments are for illustration only and not for limiting the technical solutions of the present invention. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the present invention without departing from the spirit and scope of the present invention. Any modifications or partial substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for analyzing the impact of signal transmission cables on the performance of lubricating oil sensors under strong vibration, characterized in that, It includes the following steps: S1. Calculate the change in distributed capacitance of the air-mounted connector under different vibration conditions: Based on the structural dimensions of the air-mounted connector of the lubricating oil sensor signal transmission cable, establish a three-dimensional geometric model of the air-mounted connector; the pin coordinates of the air-mounted connector are A(+l1, +l2), B(+l3, 0), C(+l4, -l4), D(0, -l3), E(-l4, -l4), F(-l3, 0), G(-l1, +l2), H(0, +l5), where, These represent the first, second, third, fourth, and fifth structural dimensions of the aero-mounted terminal block, respectively. S2. Establish the calculation model of the aircraft connector capacitor: Select the electromagnetic module of the aircraft connector, set the pin position, pin diameter and material properties, draw the geometric model, and construct the capacitance matrix. The capacitance matrix represents the comprehensive relationship between the voltage, capacitance and charge of the grounding conductor in the aircraft connector. （1）； in, These represent the charge quantities of the first, second, and third grounding conductors, respectively. These represent the voltage values ​​of the first, second, and third grounding conductors, respectively. These represent the capacitances between the first grounding conductor and the first, second, and third grounding conductors, respectively. These represent the capacitances between the second grounding conductor and the first, second, and third grounding conductors, respectively. These represent the capacitances between the third grounding conductor and the first, second, and third grounding conductors, respectively. S3. Set the boundary conditions for the flight insertion analysis model; S31. The electric scalar potential V must satisfy the Poisson equation: （2）； Where ε0 represents the free space permittivity; ε r Represents relative permittivity; ρ represents space charge density; Represents the gradient; S32. Obtain the electric field E and displacement D from the gradient of the electric scalar potential V: （3）； （4）； S33. The internal boundary conditions of the aerial propulsion analysis model are obtained from surface charge: （5）； Where n represents the normal vector of the boundary; S34. Set excitation and feedback terminals: Set A and D as excitation terminals, and D and E as feedback terminals; S4. Perform mesh generation: Use adaptive meshing to generate meshes for the insertion pins and airspace of the flight insertion, and perform mesh densification on the insertion pins; S5. Solution settings for the aerial insertion analysis model; S6. Calculate the capacitance value caused by the displacement change of the probe pin under different vibration conditions: Based on finite element analysis, calculate the capacitance value caused by the distance between the excitation end and the feedback end of the probe under different vibration conditions. S7. Establish a flight insertion analysis model, which is a mathematical model of the effect of capacitance value on the magnetic field disturbance of micro-equilibrium; Step S7 specifically includes the following steps: S71. In the micro-balancing system, excitation coil 1 and feedback coil form capacitor C1, and excitation coil 2 and feedback coil form capacitor C2, forming an AC bridge. S72. When driven by an excitation voltage V0 and an excitation frequency w, as the bubble passes through capacitor C1, the capacitance change caused by polarization charge and transferred charge leads to an imbalance in the AC bridge, and the current between the electrodes is: （7）； Where l represents the electrode spacing; I represents the current; v represents the velocity; q represents the charge; and N represents the electrode. S73, the balanced capacitor bridge is: （8）； Where R represents resistance; S74. Substituting equation (7) into equation (8), we get: （9）； S75, the magnitude of the electric field E is: （10）； Where t represents time; S76. Taking into account the Lorentz force and neglecting power loss, the derivative is: （11）； （12）； in, These represent velocities in the x and y directions, respectively. Indicates the ion oscillation frequency; Indicates the amplitude of the excitation voltage; Indicates quality; After sorting: （13）； in, Indicates the frequency of the alternating electric field; S77. When the initial conditions are velocity v = 0 and time t = 0, we have: （14）； S78. Considering the equivalent circuit amplification factor, the output voltage is obtained after reorganization. : （15）； Where G0 represents the magnification factor; These represent the first resistor and the second resistor, respectively. θ represents the phase of the excitation voltage; j represents a complex number. S8. Analyze the effect of the capacitance value obtained in step S6 on the output characteristics of the lubricating oil sensor: Substitute the capacitance value caused by the distance between the excitation end and the feedback end of the air sputtering device under different vibration conditions obtained in step S6 into the air sputtering device analysis model established in step S7, and calculate the amplitude of the output voltage. If it is lower than the voltage amplitude of normal ferromagnetic particles, it will not cause false detection.

2. The method for analyzing the impact of signal transmission cables on the performance of lubricating oil sensors under strong vibration as described in claim 1, characterized in that, Step S5 specifically includes the following steps: S51. Select a steady-state iterative solver, that is, solve only the partial derivatives in space: （6）； Where c represents the coefficient term of the partial differential equation; f represents the source term after transformation into a system of linear equations; and u represents the solution vector with the number of degrees of freedom. S52. Select the iterative solver Conjugate Gradient; S53. Observe the electric field intensity distribution cloud map and capacitance value.

3. The method for analyzing the impact of signal transmission cables on the performance of lubricating oil sensors under strong vibration as described in claim 1, characterized in that, In step S3, under electrostatic conditions, the potential of the entire surface of each electrode must be the same; otherwise, the current will flow through the grounded conductor. It is assumed that both air and dielectric are ideal insulators.

4. The method for analyzing the impact of signal transmission cables under strong vibration on the performance of lubricating oil sensors according to claim 1, characterized in that, In step S34, both the excitation terminal and the feedback terminal are voltage-type terminals, with the excitation terminal having a voltage amplitude of 1V and the feedback terminal having a voltage amplitude of 0V.

5. The method for analyzing the impact of signal transmission cables on the performance of lubricating oil sensors under strong vibration as described in claim 1, characterized in that, In step S2, the insert material is copper, with a relative permeability of 1, a relative permittivity of 1, and a conductivity of 5.998×10⁷ S / m.

6. The method for analyzing the impact of signal transmission cables on the performance of lubricating oil sensors under strong vibration as described in claim 1, characterized in that, In step S4, the mesh refinement method for the pins is the longest, the cell selection is preliminary global minimization, the cell growth rate is 1.7, and the order of the stable estimation derivative is 2.

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