KR20110060703A - Acoustic emission sensor apparatus and wireless defect diagnostics system for high pressure pipe using thereof - Google Patents

Abstract

PURPOSE: An acoustic-emission signal sensor and a wireless drawback diagnosing system using the same are provided to wirelessly diagnose the presence/absence, level, and position of drawbacks of a high-pressure pipe and effectively give said drawbacks to a user. CONSTITUTION: An acoustic-emission signal sensor comprises an AE(Acoustic Emission) sensor, a housing(12), an elastic member, and a signal processing module. For the AE sensor, a first connector is installed on one side and bottom making tight contact with a curved magnetic high-pressure pipe is substantially level. For the housing, an elongated part is formed from bottom, to which at least one magnet is attached, and the AE sensor is held so that the bottom is exposed. A second connector coupled to the first connector is installed on one side of the elongated part. The elastic member is inserted into the elongated part and shows elasticity so that the AE sensor becomes apart from the housing.

Description

Acoustic Emission Sensor Apparatus and Wireless Defect Diagnostics System for High Pressure Pipe Using

The present invention relates to an acoustic emission signal sensor device and a wireless defect diagnosis system of a high pressure pipe using the same. More specifically, the present invention relates to an acoustic emission signal sensor device that can be stably fixed to a high pressure pipe of a curved surface, and a wireless defect diagnosis system of a high pressure pipe for wirelessly diagnosing whether there is a defect, a degree of defect, and a location of the high pressure pipe by using the same.

With the rapid industrialization and urbanization all over the world, the necessity of high-power industry based on the efficient distribution of energy is heightening, and along with this, the cases of the construction of large industrial facilities for mass production of energy, such as boilers and generators, are greatly increasing. . However, some voices are concerned about the stability of these industrial facilities, and if a defect occurs in the internal structure of the industrial facility concealed from the outside, it is difficult to find it and is likely to extend to serious problems.

As a result, efforts have been made to initially detect various defects such as micro deformation and micro cracks of internal structures for industrial facilities, but there is no benefit in the past defect diagnosis method that adds artificial damage.

For this reason, 'non-destructive inspection', which can diagnose defects without damaging the object, is drawing attention.

'Non-destructive testing' is a method of investigating and determining incompleteness without additional damage by using physical phenomena of material, and it is radiographic, ultrasonic, magnetic, penetrant, and electromagnetic induction. And the like. However, most of the non-destructive inspection methods apply direct and one-time energy to the object to check for defects, so it is difficult to apply to the internal structure of the restricted industrial facilities, and it is difficult to obtain other than the inspection result at a specific point of time, so it is impossible to detect in real time.

Meanwhile, recently known 'non-destructive testing method using acoustic emission signal (AE)' uses defects of acoustic emission signal (AE) in a specific frequency band among elastic waves accompanying deformation or cracking of an object. Judge. Therefore, it is strictly a non-destructive inspection method of the ultrasonic region, but relatively high sensitivity and continuous inspection is possible, and can be applied even if the access is limited, regardless of the structure, defect size and direction of the object.

However, since the acoustic emission signal includes various noises ranging from the low frequency band of the audible frequency to the high frequency band of several MHz, accurate analysis is difficult, and the result varies greatly depending on the sensitivity of the sensor. Therefore, at present, only the acoustic emission signal of a specific frequency band accompanying the leakage of water is used, but leakage is a phenomenon that occurs after the cracking, so follow up aftercare.

In addition, in the conventional non-destructive inspection method using the acoustic emission signal, the leakage is determined through an alarm or alarm for a measurement value exceeding a reference value appearing after the occurrence of leakage, for example, a measurement value exceeding an upper limit of the reference dB. Therefore, if it is difficult to obtain accurate information, it is inevitable to stop the industrial facilities when leaks are detected, which causes considerable economic losses after the maintenance is completed. Especially, it is difficult to accurately detect other than the approximate location of leakage.

In addition, conventional sensors for detecting acoustic emission signals, for example, acoustic emission signal sensors (hereinafter referred to as AE sensors, are the same below), have a slight change in the number and position of connectors for cable connection, and mostly exhibit a cylindrical shape. The bottom surface is brought into contact with the surface of the object.

Therefore, it is difficult to fix on curved surfaces such as high pressure piping.

In addition, a large number of AE sensors are used for defect inspection of industrial facilities, and in particular, a large number of AE sensors are used for inspection of large facilities such as high pressure pipes. The whole process is very demanding because of the connection, and it takes a lot of time and money.

The present invention has been made to solve the above problems, the object is to provide a concrete way to detect a relatively simple and accurate detection of the defect of the internal structure of a large industrial equipment with limited access.

Specifically, the present invention provides an AE sensor device that can be easily fixed to a curved surface such as a high-pressure pipe as well as a flat surface, which is excellent in workability and wireless communication is possible, which can greatly reduce time and effort for cable connection. Purpose.

In addition, the present invention efficiently removes and analyzes unnecessary noise from low-frequency and high-frequency signals collected in the field to increase the reliability of signal analysis, and wirelessly diagnoses defects, degree of defects, and defect locations of high-voltage pipes, and effectively provides them to users. The purpose of the present invention is to provide a wireless combined diagnosis system.

In order to achieve the above object, the present invention, the first connector is provided on one side and the bottom surface is in close contact with the high-pressure pipe that is a magnetic body of the curved surface of the cylindrical AE sensor substantially horizontal; The AE sensor is accommodated so that the bottom surface is indented from the bottom surface to which the at least one magnet is attached, and the AE sensor is accommodated, and the second connector is coupled to the first connector on one side of the inner surface of the charging hole. housing; Elastic means inserted into the charging hole to exert elasticity so that the AE sensor is separated from the housing; It is electrically connected to the second connector is embedded in the housing, and provides a sound emission signal sensor device including a signal processing module for processing and transmitting the sound emission signal sensed by the AE sensor in a short distance.

In this case, the signal processing module, the amplifier unit for amplifying and band filtering the acoustic emission signal detected by the AE sensor; A digital signal processing unit converting the amplified and band-filtered signal into a digital signal and performing wavelet filtering; A third short range wireless communication unit configured to shortly transmit the wavelet-filtered signal, the third connector being provided on one side of an outer surface of the housing and electrically connected to the signal processing module; And a battery pack connected to the third connector, wherein the first short range wireless communication unit includes ZigBee, Bluetooth, Ultra WideBand (UWB), and Wi-Fi (WiFi). , WiMAX (Worldwide Interoperability for Microwave Access), ISM (Industrial Scientic and Medical) is one of the selected method.

In addition, the present invention is a defect diagnosis system for a high-pressure pipe using the sensor device, the central signal processing unit for receiving a signal transmitted from the signal processing module in close proximity to calculate whether the defect, the degree of defect, the defect position of the high-pressure pipe It provides a wireless fault diagnosis system of a high-pressure pipe including.

At this time, the central signal processing unit, a second short-range wireless communication unit for receiving the short-range transmitted signal; And calculating a defect based on a mounting position and a detection time of the sensing unit to calculate whether there is a defect, a degree of defect, and a position of the defect. The second short range wireless communication unit includes a ZigBee, Bluetooth, Ultra WideBand (UWB), Wi-Fi (WiFi), Wi-Fi (Worldwide Interoperability for Microwave Access), ISM (Industrial Scientic and Medical) is characterized in that one of the selected method. And a relay unit for relaying short-range communication between the signal processing module and the central signal processing unit.

The present invention uses the acoustic emission signal for the defect diagnosis of the durability of the industrial equipment, it is possible to continuously diagnose the high sensitivity and can be applied even if the access is limited regardless of the structure, size, direction, etc. of the internal structure. Indicates.

In particular, the AE sensor device according to the present invention can be easily fixed to a flat surface as well as curved surfaces such as high-pressure pipes, and furthermore, wireless communication is possible so that the cable connection process can be omitted, greatly improving workability and time and effort. You can save a lot.

In addition, the defect diagnosis system according to the present invention can effectively remove and analyze unnecessary noise from the acoustic emission signal collected by the wireless communication method in the field, thereby improving the objectivity and accuracy of the signal analysis, thereby adding reliability to the diagnosis result. Database-based optimization corrections based on local and time-of-arrival methods allow the location of defects to be accurately positioned.

In addition, the defect diagnosis system according to the present invention transmits the object to the user in a variety of ways on / offline to enable more effective management.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

In earnest, when looking at some key terms to be referred to herein, the 'sound emission signal' refers to a high frequency signal of 20 ~ 500kHz band including an audible signal and sound emission and sound vibration signal. In addition, in the following, it is assumed that the object of the defect diagnosis as 'high pressure pipe' for convenience, but the present invention can be easily understood by those skilled in the art through the following description if the curved magnetic material is applicable to all kinds of industrial facilities.

1 is a perspective view of an AE sensor device 10 according to an aspect of the present invention, FIG. 2 is an exploded perspective view, and FIG. 3 is a cross-sectional view taken along line III-III of FIG.

As can be seen, the AE sensor device 10 according to the present invention is a cylindrical housing AE sensor 20 to be in close contact with the high-pressure pipe, the housing 12 of the insulating material to accommodate the rest except the close contact surface of the AE sensor 20 The signal processing module 30 is embedded in the housing 12 and electrically connected to the AE sensor 20.

Each of them is as follows.

First, the AE sensor 20 is a part that is in close contact with the high pressure pipe and detects an acoustic emission signal, and has a cylindrical shape having a predetermined height where the bottom surface that is in close contact with the high pressure pipe is substantially horizontal. One side of the AE sensor 20 is provided with a first connector 22.

At this time, preferably, the first connector 22 is provided on the upper surface opposite to the bottom surface, and the detailed configuration and operation of the AE sensor 20 may be widely applied to a known technology, and thus a detailed description thereof will be omitted. .

Next, the housing 12 is a part which press-contacts the bottom surface of the AE sensor 20 to the high-pressure pipe and at the same time facilitates electrical connection between the signal processing module 30 and the AE sensor 20, and at least one magnet 16. ) Is attached to the bottom surface of the charging hole 13 for accommodating the AE sensor 20, the inner surface of the charging hole 13 is provided with a second connector 18.

At this time, preferably, the second connector 18 is provided on the opposite surface of the charging hole 13 facing the upper surface of the AE sensor 20, and the depth of the charging hole 13 is inserted when the AE sensor 20 is inserted. A third connector 14 electrically connected to the bottom surface of the housing 13 and the bottom surface of the AE sensor 20 to be matched or exposed to a predetermined degree, and electrically connected to the signal processing module 30 to be described later on one side of the outer surface of the housing 12. ) Is provided.

Therefore, when the AE sensor 20 is inserted into the charging hole 13 of the housing 12, the first and second connectors 22 and 18 are physically coupled, and the bottom of the AE sensor 20 is connected to the bottom of the housing 12. The bottom surface coincides with or is exposed to some extent, and the first to third connectors 22, 18, and 14 are electrically connected to the signal processing module.

Next, the signal processing module 30 processes and transmits the acoustic emission signal detected by the AE sensor 20 in a short range.

4 is a schematic diagram of the signal processing module 30. Referring to FIG. 1 and FIG. 3, the signal processing module 30 includes an amplifier unit 32, a digital signal processing unit 34, 1 includes a near field communication unit 36.

At this time, the amplifier unit 32 amplifies and filters the acoustic emission signal transmitted from the AE sensor 20, and an amplifier for this, and at least one band filter.

In addition, the digital signal processing unit 34 converts the analog acoustic emission signal transmitted from the amplifier unit 32 into a digital signal and then performs a predetermined filtering. A digital filter and a first algorithm of the predetermined algorithm are performed for this purpose. Contains an application.

In this case, preferably, the digital signal processor 34 obtains a digital signal using variables such as RMS, Amplitude, Rising Time, Duration time, Ring down count (Count), Event, Energy, Peak Frequency, and the like. Adaptive filtering of wavelet transform based on time-scale may be performed. For reference, the signal definition of the main variable is shown in FIG. 5, and the time-scale wavelet transform is a signal conversion method that appropriately adjusts a window according to time and frequency, and is determined by scaling and shifting. Noise reduction method. Since the wavelet transform is well known, those skilled in the art can easily understand it even if the detailed description thereof is omitted, and is described in detail in Korean Patent No. 10-0883446.

Further, the first short range wireless communication unit 36 transmits the digital signal of the digital signal processing unit 34 in a short range. The first short-range wireless communication unit 36 for this purpose is ZigBee, Bluetooth, Ultra WideBand (UWB), Wi-Fi, Worldwide Interoperability for Microwave Access, ISM (Industrial Scientic) and Medical) is selected.

Referring back to FIGS. 1 to 3, the AE sensor device 10 according to the present invention preferably includes a separate battery pack B so that the AE sensor (through the third connector 14 of the housing 12) is provided. 20) and the signal processing module 30 is electrically connected. Reference numeral C denotes a separate connector C for connecting the battery pack B to the third connector 14.

As a result, the AE sensor device 10 according to the present invention is attached to the high-pressure pipe with the AE sensor 10 inserted into the charging hole 13 of the housing 12, the magnet 16 of the bottom of the housing 12 ) Exerts a strong electromagnetic attraction to the high pressure pipe, which is a magnetic material, to closely adhere the bottom surface of the AE sensor 10 to the curved high pressure pipe surface. When the battery pack B is connected to the third connector 14 of the housing 12, the AE sensor 20 detects an acoustic emission signal transmitted from the high pressure pipe, and the acoustic emission signal detected by the AE sensor 20. The digital signal is converted into a digital signal during the process of passing through the amplifier unit 32 and the digital signal processing unit 34 of the signal processing module 30 and is wirelessly transmitted in real time through the first short range wireless communication unit 36.

At this time, if necessary, a switch for controlling the power supply of the battery pack B on / off may be provided on one surface of the housing 12.

Preferably, the elastic means 19 exerts elasticity so that the AE sensor 20 moves away from the housing 12 at the charging hole 13 of the housing 12 so that the AE sensor 20 is in close contact with the high pressure pipe. The elastic means 19 may be interposed between the upper surface of the AE sensor 20 and the opposite surface of the charging hole 13 to surround the first and second connectors 22 and 18. Coil springs can be used.

Hereinafter, a wireless defect diagnosis system (hereinafter referred to as a defect diagnosis system) of a high-pressure pipe according to the present invention using the AE sensor device 10 will be described. Reference is previously made to FIGS. 1 to 3 as appropriate.

6 is a schematic diagram of a defect diagnosis system according to the present invention. The at least one AE sensor device 10, the central signal processor 50, and the central signal processor 50 which are in short-range wireless communication with the AE sensor device 10 are illustrated. And an interface unit 60 and a user terminal 70 connected to each other via wired or wireless connection.

First, the AE sensor device 10 is as described above, at least one is closely mounted to the high pressure pipe. In this case, preferably, the signal detection ranges of the AE sensor devices 10 overlap each other.

Next, the central signal processing unit 50 receives a signal transmitted from the at least one AE sensor device 10 in a short distance and calculates whether the high-pressure pipe is defective, the degree of the defect, and the defect position.

More specifically, FIG. 7 is a schematic diagram schematically showing the central signal processing unit 50 and includes a second short range wireless communication unit 52 and a calculation unit 54.

The second short-range wireless communication unit 52 includes ZigBee, Bluetooth, Ultra WideBand (UWB), Wi-Fi, Worldwide Interoperability for Microwave Access, and Industrial Scientic and Medical. In one selected manner) is wireless communication with the first short-range wireless communication unit 36 of the signal processing module 30 embedded in the housing 12 of the AE sensor device 10.

The calculation unit 54 calculates a time delay of the AE sensor device 10 using a cross-correlation based on at least one digital signal received by the second short range wireless communication unit 52, Based on the mounting position and the time of detection of the AE sensor device 10, the results of the first position are obtained by using the local marking method and the time difference of arrival method, and then the second position is determined through the optimal calibration process based on the database. Calculate the fault location.

Computation unit 54 for this purpose includes a dedicated second application for performing calculations according to a predetermined algorithm, a memory as a substantial database, and a central processing unit (CPU) for overall control and calculation. do. The structure and characteristics of the sensing object, such as the high pressure pipe, and the mounting position of the AE sensor device 10 are input to the database of the calculation unit 54 by the user in advance.

Here, looking at the operation process of the calculation unit 54 in more detail, the local marking method is a method of calculating the effective measurement sensitivity range of the AE sensor device 10 instead of finding the defect position of the internal structure as a point, and the arrival time difference method described below. In the case where the positioning of the bay is difficult, for example, the speed of sound is applied to anisotropic materials different in the propagation direction, welding materials having the same propagation direction, high damping materials and the like. In addition, the arrival time difference method is a method of obtaining a defective position through the detection time of each of the AE sensor devices 10, that is, the arrival time difference, and performs position determination based on the signal detection order between the AE sensor devices 10. In addition, the optimal correction process based on the database reflects the corrections based on the database, such as the weighting of the welding area, in the primary position determination results obtained by the local and the time difference method. Get accurate positioning results.

8 is a schematic diagram showing the position marking process by the calculation unit 54.

First, as shown in (a), the defect location is estimated based on the regional marking result by the regional marking method and the arrival time difference result by the arrival time difference method. Subsequently, as shown in (c), the defective position is reflected by reflecting the corrections based on the database as shown in (b), for example, the position of the welding part P and the change in the propagation speed of the acceleration signal and the acoustic emission signal. Compute the exact location of the defect.

In summary, the position determination by the calculation unit 54 may be based on the regional marking method based on the mounting position of the AE sensor device 10, the time difference of arrival method based on the detection time of the AE sensor device 10, and the database according to the type and characteristics of the object. Based on the optimization correction process.

Referring back to FIG. 6, the relay unit 40 may be interposed between the at least one AE sensor device 10 and the central signal processing unit 50. This is for relaying wireless communication, and well-known technical contents may be widely applied.

In addition, the defect diagnosis system according to the present invention may preferably include an interface unit 60 and a user terminal 70 connected to the central signal processing unit 50 by wire or wireless, and in this case, the central signal processing unit 50 may be separately provided. Communication unit (see 56 in Fig. 7, which is the same below) is incorporated.

At this time, the communication unit 56 transmits the calculation result of the calculation unit 54, such as whether the high-pressure pipe is defective, the degree of the defect, the location of the defect, or the like to the interface unit 60 and the user terminal 70.

The communication unit 56 for this purpose is a message generation module for generating a message for a mobile phone such as a short message service (SMS) or a multimedia messaging service (MMS), an Internet protocol such as a transmission control protocol-internet protocol (TCP / IP). And a data generation module for generating communication data according to the present invention. In addition, the calculation result is wirelessly transmitted to the user terminal 70 through at least one of SMS, MMS, and the Internet.

The interface unit 60 provides the user's interface environment such as displaying the calculation result of the calculation unit 54 to the user.

9 is a block diagram schematically showing the interface unit 60, wherein the display unit 62 such as a monitor displaying the calculation result of the central signal processing unit 50, and the calculation result is greater than or equal to a preset reference value. That is, it may include an alarm unit 64, such as a speaker that emits an audible warning sound when the defect is detected or the degree of defect is severe, preferably, the calculation unit 54, the display unit of the central signal processing unit 50 62, a wired / wireless local terminal 66 for controlling the alarm unit 64 and the like.

In this case, the local terminal 66 may be a local computer, and the user may input and change an appropriate variable and / or setting environment in the operation unit 54 of the central signal processor 50 using the local terminal 66. By selecting and switching the positioning method of the calculation unit 54, the defect diagnosis system according to the present invention is utilized for a purpose suitable for the purpose. In addition, the interface unit 60 may be provided with a separate remote controller 68 that performs some or all of the functions of the local terminal 66, and through this, the defect diagnosis system according to the present invention may be more convenient. Can be controlled and utilized.

Finally, the user terminal 70 of FIG. 6 includes a mobile phone and a client computer capable of accessing the Internet. Therefore, the user can access the Internet through the user terminal 70 and check the calculation result of the central signal processing unit 50 in real time, or check the defect diagnosis result through SMS or MMS of the mobile phone.

At this time, the SMS or MMS of the mobile phone is received regularly or irregularly, of course, it is also possible to receive when the calculation result of the central signal processing unit 50 is more than a predetermined reference value. In addition, the client computer may be equipped with a dedicated program for displaying the calculation result of the central signal processing unit 50 in a three-dimensional image, through which the user can more easily determine the location of the defect.

Below. Look at the defect diagnosis method according to the present invention.

10 is a schematic diagram showing a defect diagnosis method of a high-pressure pipe using the AE sensor device 10 and the defect diagnosis system according to the present invention. Reference is made together with FIGS. 1 to 8 described above.

First, at least one AE sensor device 10 is attached to an internal structure for defect diagnosis, such as a high pressure pipe. (St1)

At this time, the AE sensor device 10 is a state in which the AE sensor 20 is embedded in the charging hole 13 formed indented from the bottom of the housing 12, and the bottom surface of the AE sensor 20 is exposed. The bottom surface of the AE sensor 20 is closely attached to the high pressure pipe by the magnet 16. And the battery pack (B) is connected to the third connector 14, the AE sensor 20 receives the acoustic vibration signal generated from the high-pressure pipe, the signal processing module 30 is the sound received by the AE sensor 20 The vibration signal is converted into an appropriate digital signal and wirelessly transmitted in real time. (St2)

The relay unit 40 relays the digital signal of the AE sensor device 10 in real time. (St3)

Accordingly, the central signal processing unit 50 determines whether there is a defect, a degree of defect, and a defect position of the high-pressure pipe. Since the detailed method has been described in detail above, a separate redundant description is omitted, and the central signal processing unit 50 The calculation result is wired or wirelessly transmitted to the interface unit 60 and the user terminal 70.

Therefore, the user can perform real-time defect diagnosis using the interface unit 60, and the administrator who is remote from the interface unit 40 can check the calculation result with the user terminal 70. For example, if the user terminal 70 is a client computer, a position estimated as a defect occurrence point may be displayed as one or more points while showing the shape of the high pressure pipe as a 3D image.

On the other hand, the above description is only an example for explaining a preferred aspect of the present invention, there may be various modifications. However, all these modifications should be determined to belong to the scope of the present invention as long as the technical spirit of the present invention, the scope of the present invention will be readily understood by those skilled in the art through the following claims.

1 is a perspective view of an AE sensor device according to the present invention.

2 is an exploded perspective view of the AE sensor device according to the present invention.

3 is a cross-sectional view taken along the line III-III of FIG.

4 is a schematic diagram of a signal processing module of the AE sensor device according to the present invention;

5 is a variable system diagram of a signal processing module of the AE sensor device according to the present invention;

6 is a schematic diagram of a defect diagnosis system according to the present invention;

7 is a schematic diagram of a central signal processing unit of a defect diagnosis system according to the present invention;

8 is a schematic diagram showing a positioning process of the defect diagnosis system according to the present invention.

9 is a schematic diagram of an interface unit of a defect diagnosis system according to the present invention.

10 is a schematic diagram of a defect diagnosis method using a defect diagnosis system according to the present invention.

<Description of the symbols for the main parts of the drawings>

10: AE sensor device 12: housing

13: charging hole 16: magnet

18: elastic means 22, 18, 14: first to third connectors

20: AE sensor

Claims (8)

A cylindrical AE sensor having a first connector provided at one side thereof and having a substantially horizontal bottom surface in close contact with a high-pressure pipe that is a curved magnetic body; The AE sensor is accommodated so that the bottom surface is indented from the bottom surface to which the at least one magnet is attached, and the AE sensor is accommodated, and the second connector is coupled to the first connector on one side of the inner surface of the charging hole. housing; Elastic means inserted into the charging hole to exert elasticity so that the AE sensor is separated from the housing; And And a signal processing module electrically connected to the second connector and embedded in the housing and processing and transmitting the sound emission signal detected by the AE sensor in a short distance. The method according to claim 1, The signal processing module, An amplifier unit for amplifying and band filtering the acoustic emission signal detected by the AE sensor; A digital signal processing unit converting the amplified and band-filtered signal into a digital signal and performing wavelet filtering; And And a first short range wireless communication unit for short-range transmission of the wavelet filtered signal. The method according to claim 1, A third connector provided at one side of an outer surface of the housing and electrically connected to the signal processing module; And The sensor device of the acoustic emission signal further comprising a battery pack connected to the third connector. The method according to claim 2, The first short-range wireless communication unit is one of ZigBee, Bluetooth, Ultra WideBand (UWB), Wi-Fi (WiFi), Worldwide Interoperability for Microwave Access (ISM), and Industrial Scientic and Medical (ISM). Sensor device of the acoustic emission signal selected one method. A defect diagnosis system of a high pressure pipe using the sensor device according to any one of claims 1 to 4, And a central signal processing unit for receiving a signal transmitted from the signal processing module from a short distance and calculating whether the high pressure pipe is defective, a degree of defect, and a location of the high pressure pipe. The method according to claim 4, The central signal processor, A second short range wireless communication unit which receives the short range transmitted signal; And And a calculation unit calculating the defect, the degree of defect, and the position of the defect by calculating the signal based on the mounting position of the sensing unit and the detection time. The method according to claim 6, The second short-range wireless communication unit is one of ZigBee, Bluetooth, Ultra WideBand (UWB), Wi-Fi (WiFi), Worldwide Interoperability for Microwave Access (ISM), and Industrial Scientic and Medical (ISM). Wireless fault diagnosis system of high pressure pipe selected one method. The method according to claim 5, And a relay unit for relaying short-range communication between the signal processing module and the central signal processing unit.

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