KR20220166087A - Integrated Monitoring Apparatus and Method for Pole Transformer - Google Patents

Abstract

The present invention relates to an integrated monitoring device for a pole transformer and a method thereof. The integrated monitoring device converts data on the vibration of three axes received from a sensor, analyzes the state of a transformer and a utility pole based on the characteristic change of vector data, and diagnoses failure so that accidents are prevented by comprehensively judging the state of the utility pole and the pole transformer, diagnosing and managing failures caused by collapse of the utility pole, earthquakes, or changes in the surrounding environment, and it is possible to cope with accidents such as power outages by quickly detecting transformer failures or abnormalities of the utility pole and restoring the failures or abnormalities.

Description

Integrated Monitoring Apparatus and Method for Pole Transformer}

The present invention relates to a pole-to-pole transformer integrated monitoring apparatus and method for determining the state of a pole-to-pole transformer and detecting an abnormality based on information collected from the pole-to-pole transformer.

Telegraph poles serve as bridges for communication lines that transmit and distribute electricity, and a number of wires are connected and transformers are installed. A pole-mounted transformer is a transformer installed on a telephone pole, and is configured to transform high-voltage electricity supplied through wires into a general commercial voltage and supply it to consumers.

Such a pole-mounted transformer may cause various safety accidents due to electric shock, short circuit, etc. as well as damage to the transformer when the electric pole to be installed is worn out and cannot withstand the weight of the wire and the transformer and collapses. In addition, pole-mounted transformers, when a telephone pole is installed adjacent to a sidewalk, have a risk of accidents such as injury to pedestrians or damage to nearby facilities.

In order to prevent such an accident, in order to check the status of a pole-type transformer and a telephone pole, a manager must move to the position of a telephone pole to directly inspect and diagnose the condition, which consumes a lot of manpower and time.

Accordingly, conventional Korean Patent Registration No. 10-1409354 discloses a configuration for managing a transformer by measuring voltage and current of the transformer.

However, although it is possible to check and manage the failure of the transformer, there is still a risk of safety accident because the problem of the utility pole where the transformer is installed cannot be identified.

Republic of Korea Patent No. 10-1409354

The present invention was created due to the above needs, and comprehensively judges the state of a utility pole and a pole-mounted transformer, diagnoses failures caused by collapse of utility poles, earthquakes, or changes in the surrounding environment, and determines whether or not a transformer has failed or a power outage. The purpose is to provide a pole-type transformer integrated monitoring device and method that prevents safety accidents by managing

In addition, an object of the present invention is to provide an integrated monitoring device and method for a pole-type transformer that checks and continuously monitors the status without directly visiting and inspecting as the status of the pole and the transformer is received and monitored on a network basis.

In order to achieve the above object, a pole-type transformer integrated monitoring device according to the present invention includes a transformer installed on a telephone pole; a vibration sensing unit installed inside or outside the transformer to detect vibration in three axis directions; and a monitoring device that converts the vibration signal received from the vibration sensor into a signal in the frequency domain, calculates vector data, analyzes vector characteristics, determines the state of the transformer or the utility pole, and diagnoses a failure. Including, the monitoring device converts the axis-specific data of the vibration signal, classifies the data of the transformer and the data of the utility pole according to frequency components, and compares them with pre-stored data to diagnose the state of the transformer or the utility pole. characterized by

The monitoring device classifies the vector data according to characteristics, and responds to at least one of a change in frequency component, whether a specific frequency component is detected, a change in the relative position of vector data, and a change in vector direction, transformers and utility poles. It is characterized by judging the state.

The vibration sensor includes a 3-axis acceleration sensor that detects 3-axis vibration and transmits the vibration signal as time-series data.

An operation method of an integrated pole-type transformer monitoring device according to the present invention includes the steps of receiving vibration signals in three-axis directions measured from a vibration sensor installed in a transformer as time-series data; converting the time-series data of the vibration signal into a signal in the frequency domain for each axis; Calculating vector data according to frequency components;

analyzing the characteristics of the vector data, classifying the data on the transformer and the utility pole where the transformer is installed, and grouping them according to characteristics; and

comparing the pre-stored data to determine the state of the transformer and the utility pole and diagnosing a failure; includes

The diagnosing may include extracting characteristics of the vector data for the vibration signal; Classifying according to the cause of failure and comparing with data previously stored as a vector group; Determining the state of the transformer and the utility pole in response to at least one of a change in a frequency component, whether a specific frequency component is detected, a change in a relative position of vector data, and a change in a vector direction; and outputting a warning in case of failure; more includes

The apparatus and method for integrated monitoring of pole-type transformers according to the present invention can monitor the status of transformers and utility poles in real time based on data received from sensors, and can prevent safety accidents through continuous monitoring of status changes.

The present invention can cope with an accident such as a power outage by quickly detecting and recovering a sudden transformer failure or abnormality of a telephone pole, grasping the situation around the telephone pole and transformer, as well as the surroundings where the telephone pole is installed, the influence of the surrounding environment, an earthquake Respond quickly to natural disasters such as

According to the present invention, instantaneous and regular inspections of transformers and utility poles are possible through real-time status monitoring, and cost reduction and efficient management are possible because diagnosis thereof is easy.

1 is a schematic diagram showing the configuration of a pole-type transformer integrated monitoring device according to an embodiment of the present invention.
2 is a diagram illustrating a vibration signal measured by a vibration sensor of an integrated pole-type transformer monitoring device according to an embodiment of the present invention.
FIG. 3 is a diagram showing a converted signal by frequency conversion of the signal of FIG. 2;
4 and 5 are diagrams showing 3-axis vector change according to phase imbalance for each phase of the pole-type transformer integrated monitoring device according to an embodiment of the present invention.
6 is a diagram showing clustering results of feature vectors according to the phase imbalance of the pole-type transformer integrated monitoring device according to an embodiment of the present invention.
7 is a flowchart illustrating an operating method of an integrated pole-in-phase transformer monitoring device according to an embodiment of the present invention.

Hereinafter, the present invention will be described with reference to the accompanying drawings. In this process, the thickness of lines or the size of components shown in the drawings may be exaggerated for clarity and convenience of explanation. In addition, terms to be described later are terms defined in consideration of functions in the present invention, which may vary according to the intention or custom of a user or operator. Therefore, definitions of these terms will have to be made based on the content throughout this specification.

1 is a schematic diagram showing the configuration of a pole-type transformer integrated monitoring device according to an embodiment of the present invention.

As shown in FIG. 1, the integrated transformer monitoring device according to the present invention includes a plurality of transformers 10 (11 to 13) installed on a plurality of utility poles (not shown), a plurality of vibration sensing units 20 ( 21 to 23) and the monitoring device 100.

The first to third transformers 11 to 13, the first to third vibration sensing units 21 to 23, and the monitoring device 100 are interconnected through wired and wireless networks.

The transformer 10 converts and supplies the voltage of electricity transmitted and distributed through wires, and transmits voltage and current data to the monitoring device 100 .

The vibration sensing unit 20 may be installed inside or outside the transformer 10, and in some cases may be installed on a telephone pole where the transformer is installed.

The vibration sensing unit 20 may be connected to a network for wired communication, and may also be connected to a transformer to transmit/receive data through the transformer. In addition, the vibration sensor 20 may perform wireless communication based on the Internet of Things (IoT).

The vibration sensing unit 20 includes a smart vibration sensor that senses 3-axis vibration. For example, the vibration sensing unit 20 includes a MEMS 3-axis acceleration sensor.

The vibration sensing unit 20 is installed in each of a plurality of transformers, detects vibrations of three axes of each transformer or utility pole, and transmits the vibration to the monitoring device 100. The vibration sensing unit 20 detects the inclination of the utility pole and the power outage of the transformer by measuring the acceleration in three axes.

As the vibration sensing unit 20 is installed on either side of the transformer or the telephone pole, it measures the vibration generated from the transformer or the telephone pole in three axes, and generates time-series data for the vibration signal at regular intervals to monitor the device 100. send. In some cases, the vibration sensing unit 20 may include a signal processing unit (not shown) to analyze the detected vibration signal and transmit the analysis result to the monitoring device 100 .

The monitoring device 100 communicates with a plurality of transformers 11 to 13 and a plurality of vibration detection units 21 to 23 to receive data on current or voltage of the transformer, and time series for vibrations generated in the transformer or utility pole. By receiving data, the condition of transformers and utility poles is diagnosed.

The monitoring device 100 controls the communication unit 140, the output unit 150, the data processing unit 130, the data analysis unit 120, the database (DB) 170, the status diagnosis unit 160, and overall operations. It includes a control unit 110 to.

The communication unit 140 communicates with the first to third transformers 11 to 13 through a network and receives data from the first to third vibration sensing units 21 to 23 .

The communication unit 140 includes a plurality of communication modules, communicates by wire or wirelessly, communicates with an external server through a network, communicates with a registered terminal, or transmits data to a terminal through a mobile communication server.

The output unit 150 displays the state of a transformer or a telephone pole as a combination of at least one of letters, numbers, special characters, and images, and outputs at least one of sound effects, warning sounds, and voice guidance.

The output unit 150 outputs a warning when diagnosing a failure of a transformer or utility pole. The output unit may include at least one of a display, a speaker, and a lamp.

The data processing unit 130 converts the time-series data of the vibration signals of the three axes (x, y, z) measured by the vibration sensing unit 20 into frequency domain data using Fast Fourier Transform, Three-dimensional vector data according to frequency components is calculated.

The data processor 130 filters the data to remove noise and commercial frequency components.

The data analysis unit 120 analyzes the vector data for the vibration signal, classifies and groups the data, and stores the data in the database (DB) 170.

The transformer 10 is operated with three or one because three-phase power is input and output, and x is detected by the vibration sensor 20 according to the degree of phase imbalance of the transformer 10 and the situation (A, B, C). The vibration signal measured in three axes of , y, and z changes to a relative position. In addition, the vibration signal measured by the vibration sensor 20 changes in real time according to the degree of inclination of the pole to which the pole transformer is installed and the surrounding environment, for example, the surrounding construction situation.

The data analysis unit 120 analyzes the change of these vibration signals based on vector data, classifies and groups them according to the phase imbalance and situation (A, B, C) of the transformer, and the state of the utility pole, and updates the database (DB) do.

In addition, the data analysis unit 120 changes the vector value according to the voltage applied to the transformer 10, the degree of unbalance of the three phases, the unbalance occurrence phases (A, B, C), and the vector according to the surrounding environment or slope of the telephone pole. Based on the change in direction, the vector direction of the vector data is divided, classified, and grouped using Density-based Spatial Clustering of Applications with Noise (DBSCAN) technique.

The state diagnosis unit 160 compares the vector data of the vibration signal based on the classified and grouped data of the database DB, and based on the vibration signal detected by the vibration sensor 20, the state of the transformer or utility pole and diagnose faults.

The causes of vibration generated in the transformer 10 can be explained in two ways.

When an alternating current (60Hz) of a constant frequency is applied to the transformer 10, vibration due to magnetostriction occurs in the transformer core at twice the frequency (120Hz) of the alternating current frequency. Accordingly, the vibration has a frequency component that is a multiple of 120 Hz and is emitted to the outside through the outer wall of the transformer.

In addition, in the transformer 10, a certain force acts on the windings due to the interaction between the leakage flux and the winding current. Since the force acting on the winding becomes a function proportional to the square of the load current, it has a DC component and an AC component with twice the frequency of the load current frequency. Therefore, the vibration by the winding includes, as the fundamental frequency, a frequency component of 120 Hz having a multiple multiple of the fundamental frequency of 60 Hz, like iron core vibration.

Therefore, when a harmonic component (multiple of 120 Hz) having a fundamental frequency twice the fundamental frequency is detected, the state diagnosis unit 160 diagnoses the state of the transformer by determining it as a frequency component related to the operation of the transformer.

The data processing unit 130 converts the time-series data of the vibration signal measured by the vibration sensing unit 20 into frequency components by fast Fourier transforming each of the three axes, and acquires the frequency and its value for components above a certain threshold value. .

The data analysis unit 120 classifies frequency components that are multiples of 120 Hz as data related to the operation of the transformer 10, and classifies the remaining values into data according to the surrounding conditions of the telephone pole and the state of the telephone pole.

The data analysis unit 120 uses the DBSCAN technique based on the vector characteristics of the x-axis, y-axis, and z-axis vibration for each state with respect to the data (frequency and value of the multiple of 120 Hz) of the transformer 10 Learning about voltage and phase imbalance is performed to group 3-dimensional vectors.

Therefore, the status diagnosis unit 160 classifies the vector data previously stored in the database according to the cause of the failure and stores them as a vector group. In response to changes in relative position and change in vector direction, the state of transformers and utility poles is judged and faults are diagnosed.

The control unit 110 outputs a warning through the output unit when it is determined by the state diagnosis unit 160 that the transformer or the telephone pole is out of order. In addition, the control unit 110 transmits a warning message to an external server or a terminal of a person in charge of a transformer or telephone pole where an error occurs through the communication unit 140 .

In some cases, the control unit 110 may cut off power by transmitting a signal to a corresponding transformer or an adjacent switch in response to a failure of a transformer or utility pole.

2 is a diagram illustrating a vibration signal measured by a vibration sensor according to an embodiment of the present invention. Figure 2 (a) is a vibration signal of the x-axis, Figure 2 (b) is a vibration signal of the y-axis, Figure 2 (c) is a vibration signal of the z-axis.

As shown in (a), (b), and (c) of FIG. 2, the vibration sensing unit 20 measures the vibration generated from the transformer 10 or the telephone pole in the x-axis, y-axis, and z-axis respectively and transmits the time-series data of the vibration signal for each axis to the monitoring device 100.

A change in vibration appears before and after a rated voltage of a certain size is applied to the transformer 10, and the vibration sensor measures the change in vibration.

Among the vibration signals, a first section (S1) is vibration before the rated voltage is applied to the transformer, and a second section (S2) is vibration after the rated voltage is applied.

FIG. 3 is a diagram showing a converted signal by frequency conversion of the signal of FIG. 2;

As shown in FIG. 3 , the data processing unit 130 converts the vibration signal measured by the vibration sensing unit 20 into a frequency domain signal through Fast Fourier Transform (FFT).

As shown in (a) to (f) of FIG. 3, accordingly, the vibration signal in the first section S1 and the second section S2 appears for each frequency component.

(a), (b), and (c) of FIG. 3 are frequency components of the x-axis, y-axis, and z-axis for the first section S1 of the vibration signal, and FIG. 3 (d), (e), ( f) is the frequency components of the x-axis, y-axis, and z-axis for the second section S2.

The data analysis unit 120 compares the converted frequency components in the vibration signal for each axis with the lapse of time, and classifies characteristics according to whether voltage is applied from the transformer 10 and phase imbalance through changes in frequency components.

When the data analysis unit 120 detects a multiple of the fundamental frequency of 60 Hz, that is, a signal of 120 Hz or a multiple thereof, in the frequency components for each axis, it classifies the signal as vibration according to voltage application of the transformer 10 .

4 and 5 are diagrams illustrating 3-axis vector changes according to phase imbalance for each phase of the pole-type transformer integrated monitoring device according to an embodiment of the present invention.

As shown in FIG. 4 , the data analysis unit 120 determines phase imbalance based on changes in vector data.

In the state of phase balance with the three phases normal, the vector value of the vibration signal appears as shown in (a) of FIG.

When phase A does not operate, as shown in (b) of FIG. 4, the vector value of the vibration signal appears. When phase B does not operate, a vector value appears as shown in (c) of FIG. 4, and when phase C does not operate, a vector value appears as shown in (d) of FIG.

The data analysis unit 120 may determine an abnormality according to non-operation of the A, B, and C phases among the three phases according to the direction of the vector of the vibration signal, and classify the data according to characteristics. The data analysis unit 120 classifies the characteristics into phase imbalance based on the relative position change of the vector data.

In addition, as shown in FIG. 5 , the data analysis unit 120 determines an abnormality in the plurality of phases through a change in the 2-axis vector direction when phase imbalance occurs in the plurality of phases.

As shown in (a) of FIG. 5, in the three-axis vibration signal, when phases A and B are inactive, the vector value changes, and when phases A and C are inactive, (b) of FIG. As shown in , the vector value changes, and when phase B and phase C are inactive, as shown in (c) of FIG. 5 , the vector value changes.

Accordingly, the data analysis unit 120 determines the abnormality according to the vector direction of the vibration signal, the non-operation of multiple phases, A and B phases, A and C phases, and B and C phases among the three phases, and determines the characteristics. can be classified.

The data analysis unit 120 classifies data about the vector direction according to the phase imbalance and makes it into a database.

6 is a diagram illustrating clustering results of feature vectors according to phase imbalance of the main pole transformer integrated monitoring device according to an embodiment of the present invention.

As shown in FIG. 6, the data analysis unit 120 based on the data obtained by converting the measured vibration signal, according to the characteristics of the vector for each axis (x, y, z axis) according to the frequency component of the transformer 10 Using the DBSCAN technique, learning about the applied voltage and phase imbalance is performed to group 3-dimensional vectors.

The data analysis unit 120 classifies features according to phase imbalance into h1, h2, and h3, and groups them by clustering.

The data analysis unit 120 accumulates conversion values for the vibration signals measured from the vibration sensing unit 20, diagnoses the voltage and phase imbalance of the transformer, and manages the history data to create a database (DB). Accumulate at 170 to update the database.

In addition, the data analysis unit 120 accumulates the state change due to the inclination of the utility pole or the surrounding environment by distinguishing it from the data caused by the transformer.

Accordingly, the condition diagnosis unit 160 classifies the voltage and phase imbalance of the transformer based on the data accumulated in the database 170 to determine the abnormality, and determines the abnormality of the change of the utility pole and the risk of collapsing accordingly. , diagnose the condition of transformers and utility poles.

Based on pre-stored vector data, the state diagnosis unit 160 determines the state of the transformer and utility pole in response to a change in frequency component, whether a specific frequency component is detected, a change in the relative position of vector data, and a change in vector direction. do.

Since the pre-stored vector data is classified according to the cause of the failure and stored as a vector group, the state diagnosis unit 160 diagnoses the failure by comparing the characteristics of the vector data of the vibration signal with the previously stored data.

When the controller 110 determines that the transformer and the utility pole have failed, it outputs a warning through the output unit 150 and requests through the communication unit to repair the malfunction.

7 is a flowchart illustrating an operating method of an integrated pole-in-phase transformer monitoring device according to an embodiment of the present invention.

As shown in FIG. 7, the vibration sensing unit 20 installed in the transformer 10 or the telephone pole detects the vibration generated by the transformer or the telephone pole in three-axis directions and transmits it to the monitoring device 100 as time-series data. do.

The monitoring device 100 receives time-series data for the three vibration signals from the plurality of vibration sensing units 20 (21 to 23) (S310).

The data processor 130 converts the received vibration signal into a frequency domain through fast Fourier transform (S320). The data processing unit 130 calculates vector data according to the frequency line (S330).

The data processing unit 130 filters the data to remove noise and commercial frequency components (S340).

The data analysis unit 120 analyzes components of the vector data (S350).

The data analysis unit 120 distinguishes between before and after the application of the rated voltage to the transformer through changes in the frequency components of the vibration signal, and analyzes characteristics according to the voltage of the transformer accordingly.

In addition, the data analysis unit 120 analyzes the vector direction to classify the change according to the phase imbalance of the transformer, and analyzes the characteristics of each phase according to the phase imbalance. The data analysis unit 120 classifies and classifies imbalance of one phase and imbalance of multiple phases.

The data analysis unit 120 classifies data through changes in the frequency component of the vector and the direction of the vector, and groups them according to characteristics (S360).

The data analysis unit 120 groups the vectors by learning about the applied voltage and phase imbalance of the transformer using the DBSCAN technique based on the three-axis vibration-specific and vector characteristics.

The data analysis unit 120 continuously analyzes vector data according to the vibration signal, accumulates data, and updates the database DB by repeating learning according to classification and grouping of data (S370).

The state diagnosis unit 160 compares the vector data of the input vibration signal based on the data of the accumulated database to calculate the characteristics of the vibration, and diagnoses the failure based on the vector group for the state of the transformer or utility pole. (S380).

The control unit 110 outputs the diagnosis result of the state diagnosis unit 160 through the output unit 150 (S390).

The control unit 110 outputs a corresponding warning when it is determined to be a failure (S400). The control unit 110 transmits the failure to an external server or a designated terminal through the communication unit. In addition, the control unit 110 may request a repair to a terminal registered by a responsible department or manager.

Although the present invention has been described with reference to the embodiments shown in the drawings, it should be noted that this is only exemplary and various modifications and equivalent other embodiments are possible from those skilled in the art in the art to which the technology pertains. will understand Therefore, the true technical protection scope of the present invention should be defined by the claims below.

10, 11 to 13: transformer 20, 21 to 23: vibration sensing unit
100: monitoring device
110: control unit 120: data analysis unit
130: data processing unit 140: communication unit
150: output unit 160: status diagnosis unit
170: database (DB)

Claims (18)

Transformers installed on utility poles;
a vibration sensing unit installed inside or outside the transformer to detect vibration in three axis directions; and
a monitoring device that converts the vibration signal received from the vibration sensor into a signal in the frequency domain, calculates vector data, analyzes vector characteristics, determines the state of the transformer or the utility pole, and diagnoses a failure; including,
The monitoring device converts the axis-specific data of the vibration signal, classifies the data of the transformer and the data of the utility pole according to frequency components, and compares them with previously stored data to diagnose the state of the transformer or the utility pole. Characterized in that Pole-mounted transformer integrated monitoring device. According to claim 1,
The monitoring device classifies the vector data according to characteristics, and responds to at least one of a change in frequency component, whether a specific frequency component is detected, a change in the relative position of vector data, and a change in vector direction, transformers and utility poles. A pole-type transformer integrated monitoring device, characterized in that for determining the state. According to claim 1,
The vibration sensing unit detects the vibration of the three axes and transmits the vibration signal as time-series data. According to claim 1,
The monitoring device,
a data processing unit which converts the vibration signal into a frequency domain signal for each axis and calculates vector data according to frequency components;
a data analysis unit that extracts characteristics of the vector data, classifies them according to characteristics, and groups them according to characteristics; and
a state diagnosis unit for determining a state of the transformer or the utility pole according to the vibration signal and diagnosing a failure based on the vector group obtained by the data analysis; A pole-mounted transformer integrated monitoring device that includes a. According to claim 4,
The data processing unit converts the time-series data of the x-axis, y-axis, and z-axis of the vibration signal into frequency domain data using Fast Fourier Transform, and calculates three-dimensional vector data. A pole-in-line transformer integrated monitoring device. According to claim 4,
The data analysis unit compares the frequency components of the vector data for each axis over time, classifies the data into changes according to whether or not voltage is applied in the transformer through changes in frequency components, and changes in relative positions of the vector data. A pole-type transformer integrated monitoring device, characterized in that for classifying data on phase imbalance based on. According to claim 4,
The data analysis unit detects a frequency component corresponding to twice or a multiple of the fundamental frequency of the transformer and a frequency component that is a multiple thereof and classifies data on the transformer. According to claim 4,
The data analysis department,
A pole-mounted transformer integrated monitoring device, characterized in that for classifying data according to the inclination of the utility pole according to the direction change of the vector data with respect to the vector characteristics excluding the characteristics of the vector data related to the transformer. According to claim 4,
The data analysis unit groups the vector data using a Density-based Spatial Clustering of Applications with Noise (DBSCAN) technique. According to claim 4,
The condition diagnosis unit extracts and compares the characteristics of the vector data of the vibration signal based on the data classified according to the cause of the failure and pre-stored as a vector group, changes in frequency components, whether a specific frequency component is detected, and the relative position of the vector data. A pole-type transformer integrated monitoring device, characterized in that for diagnosing the state of the transformer and the utility pole in response to at least one of a row change and a change in vector direction. According to claim 1,
The transformer is provided in plurality,
The vibration sensing unit is provided in plurality,
Wherein the monitoring device monitors the state of the plurality of transformers and their utility poles in real time based on the data received from the plurality of transformers and the plurality of vibration sensing units. Receiving the vibration signal for the three-axis direction measured from the vibration sensor installed in the transformer as time-series data;
converting the time-series data of the vibration signal into a signal in the frequency domain for each axis;
Calculating vector data according to frequency components;
analyzing the characteristics of the vector data, classifying the data on the transformer and the utility pole where the transformer is installed, and grouping them according to characteristics; and
comparing the pre-stored data to determine the state of the transformer and the utility pole and diagnosing a failure; Operation method of a pole-type transformer integrated monitoring device comprising a. According to claim 12,
The conversion step is
A method of operating a pole-type transformer integrated monitoring device, characterized in that for converting the time series data of the x-axis, y-axis, and z-axis of the vibration signal into a signal in the frequency domain using a fast Fourier transform. According to claim 12,
The grouping step is
comparing frequency components of the vector data for each axis over time and classifying data on whether or not voltage is applied in a transformer through changes in frequency components; and
Classifying data on phase imbalance based on the change in the relative position of the vector data; operating method of the integrated mains transformer monitoring device further comprising. According to claim 12,
The grouping step is
classifying characteristics of the transformer by detecting a frequency component twice or multiple of the fundamental frequency of the transformer from the vector data; A method of operating a pole-type transformer integrated monitoring device further comprising a. According to claim 12,
The grouping step is
Classifying a characteristic according to the inclination of the utility pole according to a direction change of the vector data with respect to the vector characteristic excluding the characteristic of the vector data related to the transformer; According to claim 12,
The grouping step is
A method of operating a pole-in-line transformer integrated monitoring device, characterized in that the vector data is grouped using a Density-based Spatial Clustering of Applications with Noise (DBSCAN) technique. According to claim 12,
The diagnosing step is
extracting characteristics of the vector data for the vibration signal;
Classifying according to the cause of failure and comparing with data previously stored as a vector group;
Determining the state of the transformer and the utility pole in response to at least one of a change in a frequency component, whether a specific frequency component is detected, a change in a relative position of vector data, and a change in a vector direction; and
outputting a warning in case of failure; A method of operating a pole-type transformer integrated monitoring device further comprising a.

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