WO2021075859A1

WO2021075859A1 - Method for detecting integrity index of apparatus through distribution curve

Info

Publication number: WO2021075859A1
Application number: PCT/KR2020/014038
Authority: WO
Inventors: 이영규
Original assignee: 주식회사 아이티공간
Priority date: 2019-10-15
Filing date: 2020-10-14
Publication date: 2021-04-22
Also published as: KR20210044659A; KR102316526B1

Abstract

The present invention relates to a method for detecting an integrity index of an apparatus through a distribution curve, and more specifically, relates to a method for detecting an integrity index of an apparatus through a distribution curve, the method including the steps of: extracting peak values on the basis of changes in the intensity of energy consumed by the apparatus when performing a work process; constructing a distribution curve of the extracted peak values; constructing an integrity index reference table on the basis of changes in distribution probability in a detection interval in the constructed distribution curve in which the distribution probability is low and the risk is high; and then applying information about the slope of distribution probability values in the detection interval with respect to the distribution curve collected in real time from the apparatus to the integrity index reference table, and outputting and providing, to a manager in real time, the integrity index value indicating the integrity of the apparatus. Accordingly, the manager can clearly perceive the real-time integrity of the apparatus through the integrity index to autonomously establish a plan for checking or managing the apparatus to very actively and stably carry out the overall management of the apparatus, and greatly reduce safety-related accidents and monetary loss caused by abrupt failure of the apparatus.

Description

Method of detecting the health index of the device through distribution map

The present invention relates to a method for detecting the health index of a device through a distribution map, and more particularly, to extract a peak value based on a change in the amount of energy required for the device to perform a work process, and a distribution map to the extracted peak value. After constructing and constructing a health index reference table based on the change in the distribution probability of the detection section with low distribution probability and somewhat high risk in the constructed distribution map, the distribution probability value of the detection section for the distribution map collected in real time from the device By applying the slope information to the health index reference table, the health index value representing the health of the device is output and provided to the manager in real time, so that the manager clearly recognizes the real-time health of the device through the health index and plans for inspection or management of the device. This relates to a method of detecting the health index of a device through a distribution map that can significantly reduce safety accidents and financial losses due to sudden failure of the device by performing the overall management of the device very actively and stably because it can establish itself.

In general, stable operation of various devices used for the automated process of facilities is very important.

For example, dozens or hundreds of devices are installed in the facility of a large-scale production plant, and they operate in conjunction with each other to continuously produce products.If any one of the devices fails, the operation of the facility is completely stopped. Things can happen.

In this case, due to the occurrence of downtime due to a device failure, not only the repair cost of the device, but also the operation cost and business effect wasted during the shutdown of the facility will inevitably cause a huge loss.

According to the latest data from the Ministry of Employment and Labor and the Korea Industrial Safety Management Corporation, a total of 100,000 casualties are caught annually due to occupational safety accidents, and 18 trillion won is incurred annually when converted into costs.

In order to avoid such unexpected downtime costs, there is an urgent need for a method to induce efficient management of the device by providing information on the real-time status of the device to the manager and performing inspection and repair in advance before a device breakdown occurs. to be.

The present invention has been proposed to solve the above-described problems, and its object is to extract a peak value based on a change in the amount of energy required for a device to perform a work process, and to add a distribution diagram to the extracted peak value. After constructing and constructing a health index reference table based on the change in the distribution probability of the detection section with low distribution probability and somewhat high risk in the constructed distribution map, the distribution probability value of the detection section for the distribution map collected in real time from the device By applying the slope information to the health index reference table, the health index value representing the health of the device is output and provided to the manager in real time, so that the manager clearly recognizes the real-time health of the device through the health index and plans for inspection or management of the device. It is to provide a method for detecting the health index of a device through a distribution map that can significantly reduce safety accidents and financial losses due to sudden failure of the device by performing the overall management of the device very actively and stably because it can be established by itself. .

In addition, by presenting various detection conditions to search for the health of the device, and by detecting the health of the device based on the detection conditions, not only the health of the device can be detected very precisely, but also the health of the detected device can be It is to provide a method of detecting the health index of a device through a distribution map that can secure excellent reliability.

In order to achieve the above object, the method for detecting the health index of a device through a distribution diagram according to the present invention measures information in which the amount of energy required to perform one work process in a normal operating state of the device changes over time. However, the first information collection step (S10) of collecting the value with the largest energy level as a peak value from the measured energy change information; and, the first information collection step (S10). Based on the information, all peak values are collected for each of the work processes that are repeatedly performed in the device, and a first distribution map is constructed based on the collected peak values. A first distribution map construction step (S20) of repeatedly constructing a first distribution map for the motion; And, a section with a high distribution probability of the peak value in the first distribution map is arbitrarily set as a peak average section, and other than the set peak mean section. A first section setting step (S30) of setting any one or two or more sections selected from the section as a peak detection section; And, the first information collecting step (S10) and the first distribution map construction step (S20), and the first After arranging the distribution probability values for the peak detection section of the first distribution repeatedly collected in the section setting step (S30) over time, and connecting the distribution probability values of the arranged peak detection sections with each other in a straight line. , The second information collecting step (S40) of collecting peak slope information through the slope of the straight line; And, based on the peak slope information collected in the second information collecting step (S40), the peak detection section of the first distribution diagram A reference value setting step (S50) of setting a sound reference value and a defective reference value for the peak slope of the device; And, the distribution probability value for the peak detection section of the first distribution diagram that is repeatedly collected in the real-time driving state of the device Arranged according to the flow, and measure the peak slope value by connecting the distribution probability values of the arranged peak detection sections in a straight line, but the measured peak slope value and the soundness set in the reference value setting step (S50) And a detecting step (S60) of comparing the defective reference value to detect a health index value of the device; and an output step (S70) of outputting the health index value detected in the detecting step (S60) and providing it to an administrator. It is characterized by being made.

In addition, the detection step (S60) includes a partitioning process (S61) of dividing a section between a healthy reference value for a peak slope set in the reference value setting step (S50) and a bad reference value into at least two or more sections, and the healthy The divided section between the reference value and the defective reference value is sequentially divided from the sound reference value to the first section, the second section,… , The setting process of establishing the first health index reference table by setting the health index value for each section while setting the nth section (S62), and the peak detection section in the first distribution diagram measured and collected by the device in real time. The peak slope value measured by arranging the distribution probability value according to the passage of time, and applying the measured peak slope value by connecting the distribution probability value of the arranged peak detection section with a straight line to the first soundness index reference table corresponds to the measured peak slope value. And a detection process (S63) of detecting a section to be detected and extracting a value of a health index of the detected section.

In addition, all the distribution probabilities for the peak detection section of the first distribution map that are repeatedly collected through the first information collection step (S10), the first distribution map construction step (S20), and the first section setting step (S30) are collected, and , A second distribution diagram that constructs a second distribution diagram for the distribution probability values of the collected peak detection intervals, but repeatedly constructs a second distribution diagram for the peak detection intervals of the first distribution diagram repeatedly constructed at set distribution unit time intervals. Constructing step (S80); And, in the second distribution map, a section having a high distribution probability of a distribution probability value of a peak detection section is arbitrarily set as a distribution mean section, and any one section selected from a section other than the set distribution mean section or The second section setting step (S90) of setting two or more sections as the distribution detection section; And, the distribution probability value for the distribution detection section of the second distribution map that is repeatedly collected in the second distribution map construction step is determined over time. And a third information collecting step (S110) of collecting distribution gradient information through a slope of the straight line after arranging and connecting the distribution probability values of the arranged distribution detection sections with a straight line.

In the reference value setting step (S50), based on the distribution gradient information collected in the third information collecting step (S110), a sound reference value and a defective reference value for the distribution gradient of the distribution detection section of the second distribution map are set,

In the detection step (S60), the distribution probability values for the distribution detection section of the second distribution map that are repeatedly collected in the real-time driving state of the device are arranged over time, and the distribution probability values of the arranged distribution detection section are mutually matched. The distribution slope value is measured by connecting with a straight line, and the soundness index value of the device is detected by comparing the measured distribution slope value with the healthy and bad reference values for the distribution slope set in the reference value setting step (S50). It is characterized.

In addition, the division process (S61) of the detection step (S60) includes at least two sections between the sound reference value and the bad reference value for the distribution slope of the distribution detection section set in the reference value setting step (S50). Compartment,

In the setting process (S62), the divided section between the sound reference value and the bad reference value for the distribution slope of the distribution detection section is sequentially set from the sound reference value to the first section, the second section, ... , The second soundness index reference table is established by setting the soundness index value for each interval while setting it as the nth section,

In the detection process (S63), the distribution probability values of the distribution detection section of the second distribution diagram of the distribution probability values for the peak detection section of the first distribution map repeatedly constructed within the distribution unit time in the real-time driving state of the device are connected with each other in a straight line. By applying one distribution gradient value to the second health index reference table, a section corresponding to the measured distribution gradient value is detected, and a health index value of the detected section is extracted.

According to the method for detecting the health index of a device through a distribution map according to the present invention, a peak value is extracted based on a change in the amount of energy required for the device to perform a work process, and a distribution map is constructed on the extracted peak value, and the After constructing a health index reference table based on the change in the distribution probability of the detection section that has a low distribution probability and a rather high risk in the constructed distribution map, the slope information of the distribution probability value of the detection section for the distribution map collected in real time from the device is soundness. By applying to the index reference table, the health index value indicating the health of the device is output and provided to the manager in real time, so that the manager clearly recognizes the real-time health of the device through the health index and establishes a plan for inspection or management of the device by itself. It is possible to perform the overall management of the device very actively and stably, thereby significantly reducing safety accidents and financial losses caused by sudden failure of the device.

In addition, by presenting various detection conditions to search for the health of the device, and by detecting the health of the device based on the detection conditions, not only the health of the device can be detected very precisely, but also the health of the detected device can be There is an effect of securing excellent reliability.

1 is a block diagram of a method for detecting a health index of a device through a distribution diagram according to an embodiment of the present invention.

2 to 14 are diagrams for explaining a method of detecting a health index of a device through the distribution diagram shown in FIG. 1.

S10. First information collection step S20. 1st distribution map construction stage

S30. First section setting step S40. Second information collection step

S50. Reference value setting step S60. Detection stage

S61. Division process S62. Setting process

S63. Detection process S70. Output stage

S80. Second distribution map construction step S90. Steps for setting the second section

S110. 3rd information collection stage

100. How to Detect Device Integrity Index through Distribution Map

The present invention measures information in which the amount of energy required to perform a work process in a normal driving state changes over time, and the value of the energy size is the largest in the measured energy amount change information. A first information collection step (S10) of collecting as a peak value; Based on the information collected in the first information collection step (S10), all peak values are collected for each of the work processes repeatedly performed in the device, and a first distribution map is constructed based on the collected peak values. A first distribution map construction step (S20) of repeatedly building a first distribution map for operations repeatedly performed by the device at peak unit time intervals; A first section in which a section with a high probability of distribution of peak values in the first distribution map is arbitrarily set as a peak mean section, and any one section or two or more sections selected from sections other than the set peak mean section is set as a peak detection section Setting step (S30); The distribution probability value for the peak detection section of the first distribution map that is repeatedly collected in the first information collection step (S10), the first distribution map construction step (S20), and the first section setting step (S30) is determined according to the passage of time. A second information collecting step (S40) of arranging and connecting the distribution probability values of the arranged peak detection sections with each other in a straight line, and collecting peak slope information through the slope of the straight line; A reference value setting step (S50) of setting a sound reference value and a defective reference value for the peak slope of the peak detection section of the first distribution diagram based on the peak slope information collected in the second information collecting step (S40);

The distribution probability value for the peak detection section of the first distribution diagram, which is repeatedly collected in the real-time driving state of the device, is arranged over time, and the distribution probability values of the arranged peak detection section are connected in a straight line to the peak slope value. A detection step (S60) of measuring the measured peak slope value and detecting a health index value of the device by comparing the sound and bad reference values set in the reference value setting step (S50); And an output step (S70) of outputting the health index value detected in the detection step (S60) and providing it to an administrator, wherein the peak unit time is set to a time including at least two work processes. It is characterized by.

A method of detecting a health index of a device through a distribution diagram according to a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings. Detailed descriptions of known functions and configurations that are determined to unnecessarily obscure the subject matter of the present invention will be omitted.

1 to 12 are diagrams illustrating a method of detecting a health index of a device through a distribution diagram according to an exemplary embodiment of the present invention, and FIG. 1 is a block diagram of a method of detecting a health index of a device according to an exemplary embodiment of the present invention. 14 are diagrams each illustrating a method of detecting a health index of the device illustrated in FIG. 1.

As shown in the figure, the method 100 for detecting the health index of a device through a distribution map according to an embodiment of the present invention includes a first information collection step (S10), a first distribution map construction step (S20), and a first It includes a section setting step (S30), a second information collection step (S40), a reference value setting step (S50), a detection step (S60), and an output step (S70).

In the first information collection step (S10), the amount of energy required to perform one work process in the normal driving state of the device is measured to be changed over time. This is a step of collecting the value with the largest magnitude as the peak value.

Typically, a device installed in a large facility and operating organically performs a specific work process repeatedly, and at this time, the energy required for the device selects the current (power), the frequency of the supply power, the vibration and noise generated from the device. Can be used as.

As an example, when a device such as a perforator performing a work process of drilling a hole in a material represents the energy required to perform the work process and the current supplied to the device is represented over time, a waveform as shown in FIG. Is shown.

In this case, the peak value is the value at which the current is formed the largest as the peak value, and the peak value is collected in the first information collecting step (S10).

The first distribution map construction step (S20) collects all peak values for each of the work processes repeatedly performed in the device based on the information collected in the first information collection step (S10), and collects the collected peak values. In this step, a first distribution map is constructed as a basis, but a first distribution map for an operation repeatedly performed by the device at a set peak unit time interval is repeatedly constructed.

That is, when the device repeatedly performs the work process, as shown in FIG. 3, peak values may be repeatedly collected. If a first distribution diagram is constructed based on the collected peak values, as shown in FIG. .

Here, the peak unit time is a time set to include at least two or more peak values, and may be set in units of as few as several seconds or as many as days, months, and years in consideration of the driving conditions of the device and the surrounding environment.

In the first section setting step (S30), a section with a high probability of distribution of peak values in the first distribution map is arbitrarily set as a peak mean section, and any one section or two or more sections selected from sections other than the set peak mean section Is the step of setting as the peak detection section.

Here, a peak value with a high probability of distribution when the device is in a normal state can be viewed as a slightly stable value of the device state, and a peak value with a low distribution probability, that is, a peak value formed too large or conversely, a value formed too small, is the device state. Can be seen as a somewhat unstable value.

Therefore, as shown in FIG. 4, if the first distribution diagram is divided into a peak average section and a peak detection section, the peak mean section is an area in which peak values are distributed in a stable state of the device, and the peak detection section is a state in which the device is somewhat unstable. Is the area in which the peak values of are distributed.

Here, all sections other than the peak mean section, that is, both sections of the peak mean section, are selected as the peak detection section as the peak detection section. However, it is not a matter of course that the peak detection section is limited to the selected section as the peak detection section.

The second information collection step (S40) is performed in the peak detection section of the first distribution map repeatedly collected in the first information collection step (S10), the first distribution map construction step (S20), and the first section setting step (S30). This is a step of arranging the distribution probability values for each other according to the passage of time, connecting the distribution probability values of the arranged peak detection sections with a straight line, and collecting peak slope information through the slope of the straight line.

That is, when the first distribution diagram is repeatedly constructed and collected, distribution probability values for a plurality of peak detection intervals are collected as shown in FIG. 5, and distribution probability values of the collected peak detection intervals are arranged according to the passage of time. If connected in a straight line after doing so, it can be represented as shown in FIG. 5.

At this time, the slope value of the straight line connecting the distribution probability value of the peak detection section can be classified into a rising slope value (positive number) where the slope rises and a falling slope value (negative number) where the slope falls, but both are absolute values. Are collected by quantifying them.

Here, the peak unit time is a time set to include the distribution probability values of at least two peak detection sections of the first distribution map, and as few as a few seconds in consideration of the driving conditions of the device and the surrounding environment, and as many as days, months, years, etc. Of course, it can be set in units of.

In the reference value setting step (S50), a sound reference value and a defect reference value for the peak slope for the peak detection section of the first distribution map are set based on the peak slope information collected in the second information collection step (S40). Step.

Here, the sound reference value is set as slope information formed as a distribution probability value of the peak average section set in the first section setting step (S30), and the defective reference value is slope information formed as a distribution probability value in the peak detection section. It can be set based on.

In the detection step (S60), the distribution probability values for the peak detection section of the first distribution diagram that are repeatedly collected in the real-time driving state of the device are arranged over time, and the distribution probability values of the arranged peak detection section are mutually obtained. The peak slope value is measured by connecting with a straight line, and the soundness index value of the device is detected by comparing the measured peak slope value with the healthy and bad reference values set in the reference value setting step (S50),

It consists of a division process (S61), a setting process (S62), and a detection process (S63).

The partitioning process (S61) is a process of dividing a section between a sound reference value for a peak slope set in the reference value setting step (S50) and a bad reference value into at least two sections.

That is, as shown in FIG. 6, there is a difference in (size) between the healthy reference value and the defective reference value, and a section between the healthy reference value and the defective reference value is formed by the difference. It is divided into two or more sections at equal intervals.

Here, the number of divisions between the healthy reference value and the defective reference value is set according to how precisely the integrity of the device is to be detected in the detection process (S63) to be described later, for example, the healthy reference value and the defective reference value. It goes without saying that it is possible to more accurately detect the health of the device by dividing it into 100 sections compared to dividing the reference values into 10 sections.

In the method 100 for detecting a health index of a device through a distribution map of the present invention, the section between the sound reference value and the defective reference value is divided into 10 sections, but it is not limited to these numbers.

In the setting process (S62), a first section, a second section, ... , In the process of establishing a first soundness index reference table by setting the value of the soundness index for each interval while setting it as the nth section.

That is, as shown in FIG. 7, when the section between the healthy reference value and the bad reference value is divided into 10 sections in the division process (S61), the divided section is divided into the first section and the first section from the healthy reference value. Section 2,… , After setting the tenth section, the first health index reference table is established by setting the health index value for each section. In the method 100 for detecting the health index of the device through the distribution map of the present invention, the health index value is The range is limited from 10 to 100, and the limited health index value is assigned to each section to detect the health of the device.

Here, the health index value is limited to 10 to 100, and if the value of the health index is large, the state of the device is healthy, and if the value of the health index decreases, the state of the device is set to be poor. It goes without saying that the limiting and setting of the index value range is arbitrarily determined to illustrate an example, and the soundness index value may be set in various ranges and settings.

In the detection process (S63), the distribution probability value of the peak detection section in the first distribution diagram that is measured and collected by the device in real time is arranged over time, and the distribution probability value of the arranged peak detection section is connected with each other in a straight line. This is a process of applying a measured peak slope value to the first soundness index reference table to detect a section corresponding to the measured peak slope value, and extracting a soundness index value of the detected section.

That is, as shown in Fig. 8, the first distribution map is constructed based on the peak values for the work processes repeatedly performed in the device in real time, and the distribution probability value of the peak detection section for the constructed first distribution map is measured. The collected distribution probability values are connected to each other in a straight line, and the measured peak slope value is applied to the first health index reference table to detect the corresponding section, and extract the health index value corresponding to the detected section ( Obtain).

The output step (S70) is a step of outputting the health index value detected in the detection step (S60) and providing it to the manager.

That is, when the health index value of the device is extracted in real time through the process of the detection step (S60), the extracted health index value is output as an image through a normal monitor, so that the manager clearly recognizes the health status of the device. Depending on the health of the device, the manager is encouraged to respond effectively (check/repair).

Meanwhile, as shown in FIG. 9, in the peak detection section of the first distribution map that is repeatedly collected through the first information collection step (S10), the first distribution map construction step (S20), and the first section setting step (S30). After collecting all the distribution probabilities for each of the distribution probabilities, a second distribution map for the distribution probability values of the collected peak detection intervals is constructed, but a second distribution map for the peak detection intervals of the first distribution is repeatedly constructed at set distribution unit time intervals. The second distribution map construction step (S80) to be repeatedly constructed; And,

As shown in FIG. 10, a section having a high distribution probability value of the peak detection section in the second distribution diagram is arbitrarily set as a distribution mean section, and any one section selected from a section other than the set distribution mean section or A second section setting step (S90) of setting two or more sections as a distribution detection section; And,

As shown in Fig. 11, distribution probability values for the distribution detection section of the second distribution map repeatedly collected in the second distribution map construction step are arranged over time, and the distribution probability value of the arranged distribution detection section After connecting to each other in a straight line, a third information collection step (S110) of collecting distribution slope information through the slope of the straight line; further includes.

Here, the distribution unit time is a time set to include the distribution probability values of at least two peak detection sections of the first distribution map, and as few as a few seconds in consideration of the driving conditions of the device and the surrounding environment, and as many as days, months, years, etc. Of course, the second distribution diagram is constructed as a value in which the state of the device corresponding to the peak detection section in the first distribution diagram is somewhat unstable. In this case, the distribution detection section of the second distribution diagram is further It can be seen as a section in which values of unstable state are distributed.

Then, in the reference value setting step (S50), the sound reference value and the defective reference value for the distribution gradient of the distribution detection section of the second distribution map are determined based on the distribution gradient information collected in the third information collection step (S110). Set up,

In the detection step (S60), the distribution probability values for the distribution detection section of the second distribution map that are repeatedly collected in the real-time driving state of the device are arranged over time, and the distribution probability values of the arranged distribution detection section are each other. The distribution gradient value is measured by connecting with a straight line, and the health index value of the device is detected as follows by comparing the measured distribution gradient value with the healthy and defective reference values for the distribution gradient set in the reference value setting step (S50). .

First, as shown in FIG. 12, the partitioning process (S61) of the detection step (S60) is performed between the sound reference value and the defective reference value for the distribution slope of the distribution detection section set in the reference value setting step (S50). Divide a section into at least two or more sections,

As shown in FIG. 13, in the setting process (S62), the first section and the second section are sequentially divided between the sound reference value and the bad reference value for the distribution slope of the distribution detection section. ,… , The second health index reference table is constructed by setting the nth section and setting the health index value for each section.

Here, for convenience of explanation, the second soundness index reference table is divided into sections in the same manner as the first soundness index reference table, and a soundness index value is set, but the second soundness index reference table is also the same as the first soundness index reference table. It goes without saying that it can be set to various intervals and health index values.

As shown in Fig. 14, the detection process (S63) is a distribution detection section of the second distribution diagram of the distribution probability value for the peak detection section of the first distribution diagram that is repeatedly constructed within a distribution unit time in the real-time driving state of the device. The distribution gradient value obtained by connecting the distribution probability values in a straight line is applied to the second health index reference table to detect the section corresponding to the measured distribution gradient value, and extracts the health index value of the detected section, and the output step ( By outputting at S70), the manager clearly recognizes the health status of the device and induces effective management of the device according to the health of the device.

Here, in the detection step (S60), the health index value of the device according to the first health indicator reference table to which the peak slope value for the distribution probability of the peak detection section of the first distribution map of the device detected in real time is applied, Each detection of the health index value of the device according to the second health index reference table to which the distribution slope value for the distribution probability of the distribution detection section of the two-distribution distribution is applied is independently output through the output step (S70), or detection thereof It goes without saying that it is possible to average each of the generated health index values, detect them as one average health index value, and output them alone through the output step (S70) and provide them to the administrator.

In the method 100 for detecting the health of the device through the distribution diagram of the present invention, which detects the health of the device through the above process, the peak value is extracted based on the change in the amount of energy required for the device to perform the work process, and After constructing a distribution map on the extracted peak values, and constructing a health index reference table based on the change in the distribution probability of the detection section with a low distribution probability and a somewhat high risk in the constructed distribution map, the distribution map collected in real time from the device By applying the slope information of the distribution probability value of the detection section to the health index reference table, the health index value representing the health of the device is output to the manager in real time, and the manager clearly recognizes the real time health of the device through the health index. Since it is possible to establish a plan for the inspection or management of the device itself, the overall management of the device can be performed very actively and stably, thereby significantly reducing safety accidents and financial losses due to sudden failure of the device.

The present invention has been described with reference to the embodiments shown in the accompanying drawings, but these are illustrative and are not limited to the above-described embodiments, and various modifications and equivalent embodiments are possible from those of ordinary skill in the art. You will be able to understand the point. In addition, it goes without saying that modifications can be made by those skilled in the art within a range that does not impair the spirit of the present invention. Therefore, the scope of claiming the rights in the present invention is not defined within the scope of the detailed description, but will be limited by the claims and the technical spirit thereof to be described later.

Claims

In the normal operation state of the device, the amount of energy required to perform a work process is measured to change over time, and the value of the largest energy value from the measured energy change information is peaked (peak). ) A first information collection step (S10) of collecting as a value;

Based on the information collected in the first information collection step (S10), all peak values are collected for each of the work processes repeatedly performed in the device, and a first distribution map is constructed based on the collected peak values. A first distribution map construction step (S20) of repeatedly building a first distribution map for operations repeatedly performed by the device at peak unit time intervals;

A first section in which a section with a high probability of distribution of peak values in the first distribution map is arbitrarily set as a peak mean section, and any one section or two or more sections selected from sections other than the set peak mean section is set as a peak detection section Setting step (S30);

The distribution probability value for the peak detection section of the first distribution map that is repeatedly collected in the first information collection step (S10), the first distribution map construction step (S20), and the first section setting step (S30) is determined according to the passage of time. A second information collecting step (S40) of arranging and connecting the distribution probability values of the arranged peak detection sections with each other in a straight line, and collecting peak slope information through the slope of the straight line;

A reference value setting step (S50) of setting a sound reference value and a defective reference value for the peak slope of the peak detection section of the first distribution diagram based on the peak slope information collected in the second information collecting step (S40);

The distribution probability value for the peak detection section of the first distribution diagram, which is repeatedly collected in the real-time driving state of the device, is arranged over time, and the distribution probability values of the arranged peak detection section are connected in a straight line to the peak slope value. A detection step (S60) of measuring the measured peak slope value and detecting a health index value of the device by comparing the sound and bad reference values set in the reference value setting step (S50); And

And an output step (S70) of outputting the value of the health index detected in the detection step (S60) and providing it to the administrator,

The peak unit time is set as a time including at least two working processes.
The method of claim 1,

The detection step (S60),

A partitioning process (S61) of dividing a section between a healthy reference value and a bad reference value for the peak slope set in the reference value setting step (S50) into at least two or more sections,

The divided section between the sound reference value and the bad reference value is sequentially from the sound reference value to a first section, a second section, ... , A setting process (S62) of establishing a first health index reference table by setting a health index value for each section while setting the nth section, and

In the first distribution diagram measured and collected in real time, the distribution probability value of the peak detection section is arranged over time, and the peak slope value measured by connecting the distribution probability value of the arranged peak detection section with each other in a straight line is recalled. The device through a distribution diagram, characterized in that it includes a detection process (S63) of detecting a section corresponding to the measured peak slope value by applying it to the first health index reference table, and extracting the health index value of the detected section. Method of detecting health index.
The method of claim 2,

Collect all the distribution probabilities for the peak detection section of the first distribution map that is repeatedly collected through the first information collection step (S10), the first distribution map construction step (S20), and the first section setting step (S30), and A second distribution map construction step of repeatedly constructing a second distribution map for the distribution probability values of the collected peak detection intervals, but repeatedly constructing a second distribution map for the peak detection intervals of the first distribution map repeatedly constructed at set distribution unit time intervals. (S80); Wow,

In the second distribution map, a section with a high distribution probability value of the peak detection section is arbitrarily set as a distribution mean section, and any one section or two or more sections selected from a section other than the set distribution mean section is used as a distribution detection section. Setting the second section setting step (S90); And,

After arranging the distribution probability values for the distribution detection section of the second distribution map repeatedly collected in the second distribution map construction step over time, and connecting the distribution probability values of the arranged distribution detection sections with each other in a straight line, The third information collection step (S110) of collecting distribution gradient information through the slope of the straight line; further includes,

In the reference value setting step (S50), based on the distribution gradient information collected in the third information collecting step (S110), a sound reference value and a defective reference value for the distribution gradient of the distribution detection section of the second distribution map are set,

In the detection step (S60), the distribution probability values for the distribution detection section of the second distribution map that are repeatedly collected in the real-time driving state of the device are arranged over time, and the distribution probability values of the arranged distribution detection section are mutually matched. The distribution gradient value is measured by connecting with a straight line, and the health index value of the device is detected by comparing the measured distribution gradient value with the healthy and defective reference values for the distribution gradient set in the reference value setting step (S50),

The distribution unit time is set to a time including at least two or more first distribution maps.
The method of claim 3,

The division process (S61) of the detection step (S60) divides the section between the sound reference value and the bad reference value for the distribution slope of the distribution detection section set in the reference value setting step (S50) into at least two or more sections, ,

In the setting process (S62), the divided section between the sound reference value and the bad reference value for the distribution slope of the distribution detection section is sequentially set from the sound reference value to the first section, the second section, ... , The second soundness index reference table is established by setting the soundness index value for each interval while setting it as the nth section,

In the detection process (S63), the distribution probability values of the distribution detection section of the second distribution diagram of the distribution probability values for the peak detection section of the first distribution map repeatedly constructed within the distribution unit time in the real-time driving state of the device are connected with each other in a straight line. Detecting the health index of a device through a distribution chart, characterized in that a section corresponding to the measured distribution gradient value is detected by applying one distribution gradient value to the second health index reference table, and extracting the health index value of the detected section. Way.