Insulator insulation defect diagnosis device and method

Abstract

The invention relates to the technical field of insulator insulation defect diagnosis, in particular to an insulator insulation defect diagnosis device and method.The insulator insulation defect diagnosis device comprises a detection mechanism, and the detection mechanism comprises a sonic sensor, a sonic receiver, a shell and a first connecting arm used for connecting the shell and the sonic sensor; the knocking mechanism comprises an elastic knocking piece, a driving piece used for controlling the elastic knocking piece to knock the insulator, and a connecting arm II used for connecting the driving piece and the shell; according to the portable device, the contact type ultrasonic detection and the active buffering knocking mechanism are integrated in the portable device, and a core algorithm of self-adaptive threshold value, Hilbert envelope positioning and frequency spectrum characteristic analysis is matched, so that the contact type ultrasonic detection and the active buffering knocking mechanism are integrated in the portable device; synchronous, accurate and on-site intelligent diagnosis of the insulation defect and the physical damage of the pin insulator of the distribution line is realized.

Description

Technical Field

[0001] This invention relates to the field of insulator insulation defect diagnosis technology, and in particular to an insulator insulation defect diagnosis device and method. Background Technology

[0002] In the operation and maintenance of power distribution lines, defect detection of pin insulators mainly uses infrared imaging and UAV visual inspection, but the above two methods have the following problems: Infrared detection relies on defect heating, and cannot detect low-value or zero-value insulators that do not heat up under dry conditions; Drone vision is limited by shooting angle and resolution, making it difficult to identify small cracks and damage on the back side. Therefore, current technology lacks a comprehensive on-site inspection method that can simultaneously and accurately diagnose both internal insulation defects and external physical damage to insulators, and is not limited by weather or viewing angle. Summary of the Invention

[0003] In view of the above-mentioned existing technical problems that require frequent plugging and unplugging of plugs during equipment commissioning and maintenance, and the need to lock the plug and socket in place and make plugging and unplugging effortless, the insulator insulation defect diagnosis device of the present invention is proposed.

[0004] To solve the above-mentioned technical problems, the present invention provides the following technical solution: an insulator insulation defect diagnosis device, comprising a detection mechanism, the detection mechanism including an acoustic wave sensor, an acoustic wave receiver, a housing, and a connecting arm for connecting the housing and the acoustic wave sensor; and, A striking mechanism, comprising a resilient striking element, a driving element for controlling the striking element to strike an insulator, and a connecting arm two for connecting the driving element to a housing; and, The control panel controls the operation of the live parts in the detection and striking mechanisms.

[0005] In a preferred embodiment of the insulator insulation defect diagnosis device of the present invention, one end of the connecting arm is connected to the housing, and the other end is connected to the acoustic wave sensor. A display screen is provided inside the housing. The acoustic wave sensor, the acoustic wave receiver, and the display screen are all electrically connected to the control panel.

[0006] In a preferred embodiment of the insulator insulation defect diagnosis device of the present invention, the driving component includes a mounting block and a connecting block; One end of the connecting arm is fixedly connected to the housing, and the other end is fixedly connected to the connecting block. A micro motor is embedded inside the mounting block. The output end of the micro motor extends through to the outside of the mounting block and is fixedly connected to the connecting block. The end of the connecting block away from the micro motor is connected to the elastic striking element. The output end of the micro motor drives the connecting block to rotate the elastic striking element.

[0007] As a preferred embodiment of the insulator insulation defect diagnosis device of the present invention, the elastic striking element includes a spring and a collision ball; Two sets of springs are provided on the outer periphery of the connecting block away from the micro motor. Each spring corresponds to a collision ball. One end of the spring is fixedly connected to the connecting block, and the other end is fixedly connected to the collision ball.

[0008] In a preferred embodiment of the insulator insulation defect diagnosis device of the present invention, both connecting arm one and connecting arm two are universal cooling pipes.

[0009] As a preferred embodiment of the insulator insulation defect diagnosis device of the present invention, the housing is provided with a battery for providing continuous power to the device and a charging port for charging the battery, a mounting plate for insulating the external support structure is provided on one side of the housing, and a control key for controlling the operating status of the device is provided on another side of the housing.

[0010] This invention also provides the following technical solution: a method for diagnosing insulation defects in insulators using a diagnostic device, comprising, including, The sound signals from the insulators are collected by sound wave sensors and receivers and then transmitted to the control panel. The sound signal is analyzed and processed through the control panel, the analysis results are generated, and the analysis results are displayed on the screen.

[0011] As a preferred embodiment of the insulator insulation defect diagnosis method of the present invention, the sound signal of the insulator includes an echo signal and a discharge signal; The echo signal is collected by a sound wave receiver. The source of the echo signal is generated by the collision ball being rotated by the output shaft of a micro motor and colliding with the insulator. The discharge signal is acquired using an acoustic sensor.

[0012] As a preferred embodiment of the insulator insulation defect diagnosis method of the present invention, the analysis and processing process includes: The discharge signal and echo signal are bandpass filtered to generate the processed discharge signal and processed echo signal. The processed discharge signal and the processed echo signal are framed to divide the continuous signal into a series of short-term discharge signals and short-term echo signals for analysis.

[0013] As a preferred embodiment of the insulator insulation defect diagnosis method of the present invention, the analysis and processing process further includes: Analyze short-term discharge signals to determine whether a partial discharge event has occurred in the insulator.

[0014] The short-term echo signal is analyzed to determine whether there is any damage to the ceramic structure of the insulator.

[0015] The beneficial effects of this invention are as follows: By integrating contact ultrasonic detection and active buffering impact mechanism into a portable device, and equipped with core algorithms of adaptive threshold, Hilbert envelope positioning and spectral feature analysis, this invention achieves synchronous, accurate, and on-site intelligent diagnosis of insulation defects and physical damage of pin insulators in power distribution lines. It effectively overcomes the industry problems of traditional infrared and visual detection methods being constrained by the environment, having limited functionality, and having blind spots, and provides an efficient and reliable proactive preventive solution for condition-based maintenance of power systems. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the overall connection structure between the detection mechanism and the striking mechanism in this invention.

[0018] Figure 2 This is a view of the internal structure of the elastic striking element in this invention.

[0019] Figure 3 This is a combined view of the micro motor and connecting arm two in this invention.

[0020] Figure 4 This is a view of the internal structure of the housing in this invention.

[0021] Figure 5 This is a combined view of the housing and control keys in this invention; Figure 6 This is a flowchart of the diagnostic method in this invention. Detailed Implementation

[0022] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0023] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0025] Example 1, referring to Figures 1-6 This is the first embodiment of the present invention, which provides an insulator insulation defect diagnosis device.

[0026] Testing mechanism 1 includes an acoustic wave sensor 11, an acoustic wave receiver 14, a housing 12, and a connecting arm 13 for connecting the housing 12 and the acoustic wave sensor 11; and, The striking mechanism 2 includes an elastic striking element 21, a driving element 24 for controlling the elastic striking element 21 to strike the insulator, and a connecting arm 27 for connecting the driving element 24 to the housing 12; and, Control panel 4 controls the operation of the live parts in detection mechanism 1 and striking mechanism 2.

[0027] In one alternative embodiment, both connecting arm 13 and connecting arm 27 are universal cooling pipes. By setting connecting arm 13 and connecting arm 27 as universal cooling pipes, an installation carrier and angle adjustment channel can be provided, while improving the protection, heat dissipation, insulation and mechanical strength of the device.

[0028] Specifically, one end of the connecting arm 13 is connected to the housing 12, and the other end is connected to the acoustic sensor 11. The housing 12 is equipped with a display screen 3. The acoustic sensor 11, the acoustic receiver 14, and the display screen 3 are all electrically connected to the control panel 4.

[0029] Specifically, the housing 12 contains a battery 7 that provides continuous power to the device and a charging port for charging the battery 7. A mounting plate 5 for insulating the device from the outside environment is located on one side of the housing 12, and a control key 6 for controlling the device's operating status is also located on one side of the housing 12. The echo signal is collected by the sound wave receiver 14. The source of the echo signal is generated by the collision ball 23 rotating and colliding with the insulator, driven by the output shaft of the micro motor 28. The discharge signal is acquired by acoustic sensor 11.

[0030] In an alternative embodiment, the acoustic sensor 11 may be an ultrasonic sensor 11 with a frequency response range preferably from 20kHz to 200kHz or wider, to ensure that it can cover the main energy distribution core of the partial discharge acoustic emission of the insulator and have sufficient sensitivity in the core frequency band to detect weak discharge signals. The front end of the ultrasonic sensor 11 is designed as a rigid contact probe and fits tightly against the iron foot of the insulator to realize structural sound conduction, thereby effectively isolating air noise interference.

[0031] In another alternative embodiment, the sound receiver 14 may be a vibration sensor installed close to the point of impact, with a frequency response range preferably from 100Hz to 20kHz, in order to fully capture the rich echo characteristics from low to mid-high frequencies generated by the impact on the ceramic body. The vibration sensor can withstand strong signals generated by close-range impacts without saturation, while also being able to distinguish faint echo details.

[0032] During the process of the driving component 24 driving the elastic striking component 21 to repeatedly collide with the insulator, the sound wave receiver 14 receives the echo generated by the collision between the insulator and the elastic striking component 21, and converts the echo into an electrical signal to generate an echo signal.

[0033] Specifically, the sound signal of the insulator is collected by the sound wave sensor 11 and the sound wave receiver 14, and the sound signal is transmitted to the control panel 4. The control panel 4 analyzes and processes the sound signal, generates analysis results, and displays the analysis results on the display screen 3.

[0034] It should be noted that existing insulator testing methods can usually only detect one of the insulation defects or external damage, and there is a lack of integrated tools that can perform a one-stop comprehensive diagnosis of the electrical insulation performance and mechanical structural integrity of insulators.

[0035] To address the aforementioned issues, the adjustable-angle ultrasonic sensor 11 and the striking mechanism 2, connected by a universal cooling pipe, respectively achieve contact discharge signal acquisition and active striking echo excitation. Combined with the built-in dedicated analysis algorithm, it can simultaneously complete the accurate diagnosis of partial discharge defects inside the insulator and cracks in the ceramic structure. This overcomes the limitations of traditional infrared and visual detection due to environmental and viewing angle restrictions, providing a portable and efficient integrated solution for power distribution line inspection.

[0036] Example 2, refer to Figures 1-5 This is the second embodiment of the present invention. This embodiment is based on the previous embodiment, but further includes the striking mechanism 2, which includes an elastic striking member 21, a driving member 24 for controlling the elastic striking member 21 to strike the insulator, and a connecting arm 27 for connecting the driving member 24 and the housing 12.

[0037] The driving component 24 includes a mounting block 25 and a connecting block 26; one end of the connecting arm 27 is fixedly connected to the housing 12, and the other end is fixedly connected to the connecting block 26. A micro motor 28 is embedded inside the mounting block 25. The output end of the micro motor 28 extends through to the outside of the mounting block 25 and is fixedly connected to the connecting block 26. The end of the connecting block 26 away from the micro motor 28 is connected to the elastic striking element 21. The output end of the micro motor 28 drives the connecting block 26 to rotate the elastic striking element 21.

[0038] The elastic striking element 21 includes a spring 22 and a collision ball 23; two sets of springs 22 are provided on the outer periphery of the connecting block 26 away from the micro motor 28. The springs 22 correspond one-to-one with the collision balls 23. One end of the spring 22 is fixedly connected to the connecting block 26, and the other end is fixedly connected to the collision ball 23.

[0039] The collision ball 23 is a metal ball. As a striking actuator, the metal ball vibrates by striking the insulator, providing a sound source basis for the acquisition of echo signals.

[0040] In one alternative implementation, the micro motor 28 may be a micro brushless DC motor with extremely low vibration and noise, wherein the micro brushless DC motor has an outer diameter of 6-10mm, a voltage of 3.7V-5V, and an idle speed of 10000-20000RPM.

[0041] In another alternative implementation, the micro motor 28 may also be a micro progress motor of the 20BY-0X series with a diameter of 20-28mm.

[0042] In another alternative implementation, control key 6 is turned on to activate the device, the drone is connected to the device, and the drone is controlled to move the device so that a set of collision balls 23 are close to the insulator. Then, the micro motor 28 and the sound wave receiver 14 are controlled to run. The micro motor 28 is controlled to drive the connecting block 26 to rotate the collision balls 23 through the controller connected to the control panel 4. During the rotation, the two sets of collision balls 23 repeatedly collide with the insulator. The sound wave receiver 14 receives the echo generated by the insulator when it is struck by the collision balls 23 and converts it into an electrical signal, i.e., an echo signal.

[0043] In another alternative implementation, the operator turns on control key 6, connects the insulating operating rod to the mounting plate 5, lifts the insulating rod, and brings the device close to the insulator, bringing a set of impact balls 23 close to the insulator. Then, the operator controls the micro motor 28 and the sound wave receiver 14 to run. The micro motor 28 drives the connecting block 26 to rotate the impact balls 23 through the controller connected to the control panel 4. During the rotation, the two sets of impact balls 23 repeatedly collide with the insulator. The sound wave receiver 14 receives the echo generated by the insulator during the impact of the impact balls 23 and converts it into an electrical signal, i.e., an echo signal.

[0044] Preferably, by integrating contact ultrasonic discharge detection and buffered rotary impact echo detection into one unit, and being compatible with both drone and insulating rod dual operation modes, it achieves simultaneous, accurate, and on-site diagnosis of internal insulation defects and external physical damage of pin insulators in power distribution lines. This fundamentally solves the industry problem of traditional infrared and visual detection methods being constrained by environmental conditions and having blind spots, providing an efficient and reliable proactive preventive detection tool for power system condition-based maintenance.

[0045] Example 3, referring to Figures 1-6 This is the third embodiment of the present invention, which provides a method for diagnosing insulation defects in insulators, specifically including the following steps S100-S800: S100: Acquires the power generation signal within a fixed time period, performs bandpass filtering on it to remove residual interference, and generates the processed discharge signal; Preferably, the passband range of the bandpass filter in step S100 is 20kHz to 80kHz; S200: Due to the non-stationary and transient characteristics of acoustic signals, in order to analyze their short-time characteristics, the continuous signal stream needs to be divided into a series of short time periods for analysis. Therefore, the processed discharge signal and the processed echo signal are framed according to a preset window function. Specifically, a time-domain window function with a length of L and a frame shift of R is used to weight and frame the signal to generate a series of short-time discharge signals. In an optional implementation, the preset window function in step S100 can be a Hanning window, and when framing, the frame length L is set to 10 milliseconds and the frame shift R is set to 50% of the frame length.

[0046] In another alternative implementation, the preset window function in step S100 can also be a Kaiser window with a shape parameter β. By adjusting the value of β, a flexible engineering trade-off can be made between the main lobe width and the side lobe attenuation level.

[0047] S300: Calculate the short-time energy of the discharge signal for each short period. The formula for calculating the short-time energy is as follows: ; In the formula, L is the frame length, R is the frame shift, w[n] is the window function coefficient corresponding to the nth point, and x b is a preset coefficient, and m is the number of frames.

[0048] S400: Constructing an adaptive threshold T E Specifically: ; In the formula, μE is the short-time energy moving mean, σE is the short-time energy moving standard deviation, and k is the threshold coefficient.

[0049] In one alternative implementation, the short-time energy moving average can be obtained by calculating the arithmetic mean of the short-time energy of the current frame and the frames preceding it. In another alternative implementation, the short-time energy sliding standard deviation can be used to measure the fluctuation intensity of background noise energy by calculating the square root of the average of the squares of the deviations of each short-time energy value from its sliding mean within the sliding window.

[0050] S500: Combines the short-time energy of the short-duration discharge signal with an adaptive threshold T E The comparison is as follows: When the short-term energy of a short-term discharge signal exceeds the adaptive threshold, the short-term discharge signal is determined to be a suspicious discharge signal segment and extracted. If the short-term energy of the short-term discharge signal is less than the adaptive threshold, it is directly determined that there is no partial discharge and the insulation condition is normal.

[0051] S600: Perform a Hilbert transform on the extracted suspicious discharge signal segment y(t) to obtain the orthogonal component H(y(t)). Using y(t) as the real part and H(y(t)) as the imaginary part, construct an analytic complex signal z(t): ; Calculate the magnitude of the analytic complex signal z(t), which gives the spectral amplitude A(t) at each frequency point: ; The peak point of the envelope corresponds to the precise moment when the discharge event occurs; S700: Centered on the envelope peak, a fixed-duration segment of the signal is extracted, subjected to a Fast Fourier Transform (FFT), and a spectrum is generated. From the generated spectrum, the centroid f is calculated. c The formula for calculating the spectral centroid, relative to the band energy ratio R, is: ; In the formula, f k Let A[k] be the frequency of the k-th frequency point; A[k] is the spectral amplitude of the k-th frequency point. The centroid of the spectrum reflects the average concentration of signal energy in the frequency domain; The formula for calculating the bandwidth energy ratio R is: ; In the formula, f a f b These represent the lower and upper limits of the frequency band, respectively; A(f) is the spectral amplitude. S800: When the centroid of the spectrum f cIf the background value is higher than the preset background threshold and the frequency band energy ratio R exceeds the set threshold, a diagnostic result is generated: the insulator has partial discharge and the insulation has defects. Otherwise, a diagnostic result is generated: interference signal, insulation status is normal, and the diagnostic result is displayed on display screen 3.

[0052] It should be noted that the preset background threshold and the set threshold are adaptively set according to the actual operation, which will not be elaborated here.

[0053] The processing principle of echo signals is the same as that of generator signals, and will not be elaborated here.

[0054] Preferably, this embodiment fully discloses the complete core algorithm process from the original acoustic signal to the final diagnostic conclusion. Through bandpass filtering, adaptive threshold detection, Hilbert transform envelope localization, spectral feature extraction and other multi-level signal processing steps, it realizes intelligent, accurate and automated identification and judgment of weak partial discharge acoustic signals of insulators, effectively solving the technical problem that traditional methods are difficult to reliably detect and confirm insulation defects from complex environmental noise.

[0055] In summary, this invention integrates contact ultrasonic detection and an active buffer impact mechanism 200 into a portable device, and is equipped with core algorithms for adaptive thresholding, Hilbert envelope localization, and spectral feature analysis. This enables simultaneous, accurate, and on-site intelligent diagnosis of insulation defects and physical damage to pin insulators in power distribution lines. It effectively overcomes the industry challenges of traditional infrared and visual detection methods being constrained by the environment, having limited functionality, and having blind spots. This provides an efficient and reliable proactive preventative solution for condition-based maintenance of power systems.

[0056] It is important to note that the constructions and arrangements of this application shown in several different exemplary embodiments are merely illustrative. Although only a few embodiments are described in detail in this disclosure, those who consult this disclosure will readily understand that many modifications are possible (e.g., changes in the size, dimensions, structure, shape, and proportions of various elements, as well as parameter values ​​(e.g., temperature, pressure, etc.), mounting arrangements, use of materials, color, orientation, etc.) without substantially departing from the novel teachings and advantages of the subject matter described in this application). For example, an element shown as integrally formed may be composed of multiple parts or elements, the position of elements may be inverted or otherwise altered, and the nature or number or position of discrete elements may be changed or altered. Therefore, all such modifications are intended to be included within the scope of the invention. The order or sequence of any process or method steps may be changed or rearranged according to alternative embodiments. In the claims, any "device plus function" clause is intended to cover the structure performing the function described herein, and not only structural equivalents but also equivalent structures. Other substitutions, modifications, alterations, and omissions may be made in the design, operation, and arrangement of the exemplary embodiments without departing from the scope of the invention. Therefore, the present invention is not limited to the specific embodiments, but extends to various modifications that still fall within the scope of the appended claims.

[0057] Furthermore, in order to provide a concise description of exemplary embodiments, not all features of actual embodiments (i.e., those features that are not relevant to the best mode of carrying out the invention as currently considered, or those features that are not relevant to implementing the invention) may be omitted.

[0058] It should be understood that numerous specific implementation decisions can be made during the development of any practical implementation, such as in any engineering or design project. Such development efforts may be complex and time-consuming, but for those of ordinary skill in the art who benefit from this disclosure, the development effort will be a routine task in design, manufacturing, and production without requiring extensive experimentation.

[0059] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. An insulator insulation defect diagnosis device, characterized in that: include, The detection mechanism (1) includes an acoustic wave sensor (11), an acoustic wave receiver (14), a housing (12), and a connecting arm (13) for connecting the housing (12) and the acoustic wave sensor (11); and, The striking mechanism (2) includes an elastic striking element (21), a driving element (24) for controlling the elastic striking element (21) to strike the insulator, and a connecting arm (27) for connecting the driving element (24) to the housing (12); and, Control panel (4) controls the operation of the live parts in the detection mechanism (1) and the striking mechanism (2).

2. The insulator insulation defect diagnosis device as described in claim 1, characterized in that: One end of the connecting arm (13) is connected to the housing (12), and the other end is connected to the acoustic sensor (11). The housing (12) is equipped with a display screen (3). The acoustic sensor (11), the acoustic receiver (14), and the display screen (3) are all electrically connected to the control panel (4).

3. The insulator insulation defect diagnosis device as described in claim 2, characterized in that: The drive component (24) includes a mounting block (25) and a connecting block (26); One end of the connecting arm (27) is fixedly connected to the housing (12), and the other end is fixedly connected to the connecting block (26). A micro motor (28) is embedded inside the mounting block (25). The output end of the micro motor (28) extends through the outside of the mounting block (25) and is fixedly connected to the connecting block (26). The end of the connecting block (26) away from the micro motor (28) is connected to the elastic striking element (21). The output end of the micro motor (28) drives the connecting block (26) to rotate the elastic striking element (21).

4. The insulator insulation defect diagnosis device as described in claim 3, characterized in that: The elastic striking element (21) includes a spring (22) and a collision ball (23); Two sets of springs (22) are provided on the outer periphery of the connecting block (26) away from the micro motor (28). The springs (22) correspond one-to-one with the collision ball (23). One end of the spring (22) is fixedly connected to the connecting block (26), and the other end is fixedly connected to the collision ball (23).

5. The insulator insulation defect diagnosis device as described in claim 3, characterized in that: Both the first connecting arm (13) and the second connecting arm (27) are universal cooling pipes.

6. The insulator insulation defect diagnosis device as described in any one of claims 1, characterized in that: The housing (12) is provided with a battery (7) that provides continuous power to the device and a charging port for charging the battery (7). A mounting plate (5) for insulating the support structure from the outside is provided on one side of the housing (12). A control key (6) for controlling the operating status of the device is provided on one side of the housing (12).

7. A method for diagnosing insulation defects in insulators using the diagnostic device described in any one of claims 1 to 6, characterized in that: include, The sound signal of the insulator is collected by the sound wave sensor (11) and the sound wave receiver (14), and the sound signal is transmitted to the control panel (4). The sound signal is analyzed and processed by the control panel (4) to generate analysis results, and the analysis results are displayed on the display screen (3).

8. The insulator insulation defect diagnosis method as described in claim 7, characterized in that: The acoustic signals of the insulator include echo signals and discharge signals; The echo signal is collected by the sound wave receiver (14). The source of the echo signal is generated by the output shaft of the micro motor (28) driving the collision ball (23) to rotate and collide with the insulator. The discharge signal is acquired by the acoustic sensor (11).

9. The insulator insulation defect diagnosis method as described in claim 8, characterized in that: The analysis and processing procedure includes: The discharge signal and echo signal are subjected to bandpass filtering to generate processed discharge signal and processed echo signal; The processed discharge signal and the processed echo signal are subjected to frame segmentation processing to divide the continuous signal into a series of short-term discharge signals and short-term echo signals for analysis.

10. The insulator insulation defect diagnosis method as described in claim 9, characterized in that: The analysis and processing procedure also includes: The short-term discharge signal is analyzed to determine whether a partial discharge event occurs in the insulator; The short-term echo signal is analyzed to determine whether there is any damage to the ceramic structure of the insulator.

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