WO2023033568A1 - Procédé de détection d'indice d'intégrité d'un dispositif par un angle par rapport à un pic - Google Patents

Procédé de détection d'indice d'intégrité d'un dispositif par un angle par rapport à un pic Download PDF

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Publication number
WO2023033568A1
WO2023033568A1 PCT/KR2022/013120 KR2022013120W WO2023033568A1 WO 2023033568 A1 WO2023033568 A1 WO 2023033568A1 KR 2022013120 W KR2022013120 W KR 2022013120W WO 2023033568 A1 WO2023033568 A1 WO 2023033568A1
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angle
peak
connection line
point
line
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PCT/KR2022/013120
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English (en)
Korean (ko)
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이영규
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주식회사 아이티공간
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Publication of WO2023033568A1 publication Critical patent/WO2023033568A1/fr

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring

Definitions

  • the present invention relates to a method for detecting a health index of a device through an angle to a peak, and more particularly, from an energy waveform for a work process performed in a device in a normal driving state and an abnormal driving state, the energy value is the largest along with the starting point. Values are extracted as peak points, information on the angle between the starting connection line connecting the extracted starting point and the peak point and the horizontal line is collected in large quantities, and based on the collected angle information, the angle between the starting connection line and the horizontal line is established. And after setting the defect reference angle, the angle between the starting connection line and the horizontal line measured from the energy waveform for the work process repeatedly performed in real-time operation of the device is compared with the sound and defect reference angles to check the health of the device in real time.
  • the present invention relates to a method for detecting a health index of a device through an angle for a peak that can significantly reduce safety accidents and financial losses due to sudden failure of the device.
  • the present invention has been proposed to solve various problems as described above, and its purpose is to obtain a peak value with the largest energy value with a starting point from an energy waveform for a work process performed in a device in a normal driving state and an abnormal driving state. Points are extracted, a large amount of angle information is collected between the starting connection line connecting the extracted starting point and the peak point and the horizontal line, and based on the collected angle information, a good and bad criterion for the angle between the starting connection line and the horizontal line After setting the angle, the health index that indicates the health of the device in real time by comparing the angle between the starting connection line and the horizontal line measured from the energy waveform for the work process repeatedly performed in real-time operation of the device with the good and bad reference angles By detecting and providing the value, the administrator can clearly recognize the real-time health of the device through the health index and establish a plan for device inspection or management on their own, so that the overall management of the device is performed very actively and reliably. It is an object of the present invention to provide a method for detecting
  • various detection conditions are presented in order to efficiently search for abnormal symptoms occurring in the device, and when the detection conditions are satisfied, the device is detected as abnormal, so that abnormal symptoms generated in the device can be detected very precisely and effectively. It is an object of the present invention to provide a method for detecting a soundness index of a device through an angle for a peak that can secure excellent reliability for a detection result as well as possible.
  • the method for detecting the soundness index of a device through the angle of the peak according to the present invention for achieving the above object is the amount of energy required to perform one work process in a normal operating state of a device that repeatedly performs the same work process
  • the energy waveform that changes over time is repeatedly measured, and the peak point is extracted from the start point at which the measured energy waveform starts and the largest value of energy in the energy waveform
  • the energy waveform in which the amount of energy required to perform a work process changes over time in the state before a device that repeatedly performs the same work process fails is repeatedly measured, and the measured energy waveform is It starts by extracting the peak point of the largest energy value from the starting point and the energy waveform, and constructing a starting connection line that connects the extracted starting point and
  • the sound reference angle for the angle between the start connection line of the energy waveform and the horizontal line is set to a range such as the sound minimum angle to the sound maximum angle, and the angle between the start connection line and the horizontal line of the energy waveform
  • the defective reference angle may be set to a maximum defective angle exceeding the maximum healthy angle of the healthy reference angle and a minimum defective angle less than the minimum healthy angle.
  • the exponential extraction step (S40) includes a partitioning step (S41) of dividing a section between the minimum defective angle and the maximum defective angle including the minimum healthy angle and maximum healthy angle set in the setting step (S30) into at least two sections; and . , the construction process (S42) of establishing the soundness index standard table by setting the soundness index value for each section while setting the nth section, and between the start connection line and the horizontal line of the energy waveform for the work process of the device driven in real time
  • the end point at which the waveform ends together with the start point and peak point is further measured from the energy waveform for the work process in the normal operating state of the device, and the peak point and end point are aligned in a straight line.
  • the angle between the start connection line and the end point connection line and the angle information between the end point connection line and the horizontal line are further collected by further constructing an end point connection line connecting to From the energy waveform for the process, further measure the end point where the waveform ends along with the start point and peak point, and further build an end point connection line connecting the peak point and end point in a straight line, so that the angle between the start connection line and the end point connection line and the end point connection line and the horizontal line
  • the angle between the start connection line and the end point connection line of the energy waveform for the work process and the angle between the end point connection line and the horizontal line are good and bad.
  • Each reference angle is set, and in the exponential extraction step (S40), the starting point and the peak point are repeatedly collected from the energy waveform for the work process that is repeatedly performed in the real-time driving state of the device, and the end point is collected between the start connection line and the end point connection line.
  • An angle of and an angle between an endpoint connecting line and a horizontal line are measured, and a soundness index value is extracted by comparing the measured angle with each of the good and bad reference angles.
  • the energy waveform for the work process collected in the normal operating state of the device is divided into a peak section including a start point and a peak point and a constant speed section, and the other section is divided into a constant speed section.
  • the value with the largest energy is further measured as the post peak point, and instead of the end point connection line connecting the peak point and the end point in a straight line, the first peak connection line connecting the peak point and the post peak point in a straight line, and the post peak
  • a second peak connection line connecting the point and the end point in a straight line is constructed to obtain angle information between the start connection line and the first peak connection line, the angle between the first peak connection line and the second peak connection line, and the angle between the second peak connection line and the horizontal line.
  • the energy waveform for the work process in the driving state before the failure occurs is divided into a peak section including a start point and a peak point, and a constant speed section,
  • the value of the largest energy in the constant speed section is further measured as a post-peak point
  • the first peak connection line connects the peak point and the post-peak point in a straight line instead of the end point connection line connecting the peak point and the end point in a straight line.
  • Angle information of is further collected, and the setting step (S30) is based on the collected information, the angle between the start connection line and the first peak connection line of the energy waveform for the work process, and the angle between the first peak connection line and the second peak connection line. And the good and bad reference angles for the angle between the second peak connection line and the horizontal line are set, respectively.
  • the angle between the start connecting line and the first peak connecting line, the angle between the first peak connecting line and the second peak connecting line, and the angle between the second peak connecting line and the horizontal line are measured. It is characterized in that a soundness index value is extracted by comparing the determined angle with each of the good and bad reference angles.
  • the energy value with the starting point from the energy waveform for the work process performed in the device in a normal driving state and an abnormal driving state is the largest.
  • Values are extracted as peak points, information on the angle between the starting connection line connecting the extracted starting point and the peak point and the horizontal line is collected in large quantities, and based on the collected angle information, the angle between the starting connection line and the horizontal line is established.
  • the angle between the starting connection line and the horizontal line measured from the energy waveform for the work process repeatedly performed in real-time operation of the device is compared with the sound and defect reference angles to check the health of the device in real time.
  • the administrator can clearly recognize the real-time health of the device through the health index and establish a plan for device inspection or management on their own, thereby performing overall device management very actively and reliably. This has the effect of significantly reducing safety accidents and financial losses due to sudden device failure.
  • various detection conditions are presented in order to efficiently search for abnormal symptoms occurring in the device, and when the detection conditions are satisfied, the device is detected as abnormal, so that abnormal symptoms generated in the device can be detected very precisely and effectively. In addition, there is an effect of securing excellent reliability for the detection result.
  • FIG. 1 is a block diagram of a method for detecting a soundness index of a device through an angle for a peak according to an embodiment of the present invention.
  • FIG. 2 to 9 are diagrams for explaining a method of detecting a soundness index of a device through an angle for a peak shown in FIG. 1 .
  • FIG. 1 to 9 show a method for detecting a health index of a device through an angle to a peak according to an embodiment of the present invention.
  • FIG. 1 is a health index of a device through an angle to a peak according to an embodiment of the present invention.
  • Block diagrams of the detection method, FIGS. 2 to 9 each show diagrams for explaining a method of detecting a soundness index of a device through an angle for a peak shown in FIG. 1 .
  • the method 100 for detecting a soundness index of a device through an angle for a peak includes a soundness information collection step (S10), a defect information collection step (S20), and setting It includes a step S30, an exponential extraction step S40, and an output step S50.
  • the sound information collection step (S10) repeatedly measures an energy waveform in which the amount of energy required to perform one work process changes over time in a normal operating state of a device that repeatedly performs the same work process, The start point at which the measured energy waveform starts and the peak point of the largest value of the energy in the energy waveform are extracted, and the start connection line and the start point connecting the extracted start point and the peak point in a straight line.
  • This is a step of repeatedly collecting angle information between the starting connection line and the horizontal line by constructing a horizontally long horizontal line based on .
  • the energy of the device used to perform the work process is the current (power), the frequency of the supply power, and the vibration generated by the device. , noise, etc. can optionally be used.
  • a device such as a welder performing a work process of welding to a base material shows the energy required to perform the work process and the current supplied to the device over time, it is shown as an energy waveform as shown in FIG. do.
  • the peak point means the largest energy value in the energy waveform
  • the starting point means the point at which the energy waveform starts.
  • the point at which the energy waveform starts is determined with a reference value having a predetermined size set.
  • a starting connecting line and a horizontal line connecting the starting point and the peak point obtained from the energy waveform are constructed, and the angle ⁇ 1 between the starting connecting line and the horizontal line is collected.
  • the angle information between the starting connection line and the horizontal line is based on the soundness reference angle set to detect the soundness of the device in the setting step (S30), which will be described later as very stable angle information due to the nature of being measured from a normal device.
  • the defect information collection step (S20) repeatedly measures an energy waveform in which the amount of energy required to perform one work process changes over time in a state before a device that repeatedly performs the same work process fails. However, the starting point where the measured energy waveform starts and the peak point of the largest value of energy in the energy waveform are extracted, and the starting connection line connecting the extracted starting point and the peak point in a straight line and horizontally based on the starting point. This is a step of constructing a long horizontal line and repeatedly collecting angle information between the starting connection line and the horizontal line.
  • a good reference angle and a bad reference angle for the angle between the starting connection line and the horizontal line of the energy waveform for the work process are determined. This is the setting step.
  • the sound reference angle for the angle between the start connection line and the horizontal line of the energy waveform is set to a range such as a sound minimum angle to a sound maximum angle
  • the defect reference angle with respect to the angle between the start connection line of the energy waveform and the horizontal line is set to a maximum defect angle exceeding the maximum healthy angle of the healthy reference angle and a minimum defect angle less than the minimum healthy angle.
  • the angles between the start connection line and the horizontal line for the work process collected in the normal state of the device are collected while forming a predetermined angle range, and the sound criterion is based on the collected information.
  • the angle is formed by a range
  • the defect reference angle is set by dividing the defect maximum angle and the defect minimum angle.
  • the maximum defective angle is an angle exceeding the maximum healthy angle of the healthy reference angle
  • the minimum defective angle is an angle less than the smallest healthy angle of the healthy reference angle
  • the exponential extraction step (S40) repeatedly collects the starting point and peak point from the energy waveform for the work process that is repeatedly performed in the real-time driving state of the device, and between the starting connection line and the horizontal line for the collected starting point and peak point. After detecting the angle, a step of extracting a soundness index value by comparing the detected angle with the sound reference angle and the defective reference angle, a division process (S41), a construction process (S42), and an index extraction process (S43 ) is made up of
  • the partitioning process (S41) is a process of dividing a section between the minimum defective angle and the maximum defective angle including the minimum healthy angle and maximum healthy angle set in the setting step (S30) into at least two sections.
  • the minimum defect angle and the maximum defect angle have a difference in angle from each other, and a section between the minimum defect angle and the maximum defect angle is formed as much as the difference between the existing angles. Divide into two or more at equal intervals.
  • the number of divisions between the minimum defect angle and the maximum defect angle is set according to how accurately the soundness of the device is to be detected in the exponential extraction process (S43) to be described later.
  • the minimum defect angle and the maximum defect angle are set.
  • the soundness of the device can be more accurately detected when each section is divided into 100 sections, compared to dividing each section into 10 sections.
  • the section between the minimum defect angle and the maximum defect angle is partitioned into 10 sections.
  • the section between the minimum angle and the maximum sound angle is partitioned together, and the partition is not limited to these number of sections.
  • the partitioned sections between the minimum defect angle and the maximum defect angle are sequentially divided into a first section, a second section, ... from the minimum defect angle.
  • a soundness index reference table is constructed by setting the soundness index value for each section.
  • the value is limited to a range from a minimum of 10 to a maximum of 100, and the limited health index value is assigned to each section to detect the health of the device.
  • the range of the soundness index value is limited to 10 to 100, and when the value of the soundness index is large, the device is in a sound state, and when the value of the soundness index is small, the device is set to be in a poor state.
  • the limitation and setting of the range of the index value is arbitrarily determined for explanation as an example, and the soundness index value may be set in various ranges and settings.
  • the index extraction process measures the angle between the starting connection line and the horizontal line of the energy waveform for the work process of the device driven in real time, applies the measured angle to the soundness index reference table, and applies the measured angle to the corresponding section. It is a process of detecting and extracting the soundness index value of the detected section.
  • the angle between the starting connection line and the horizontal line collected from the energy waveform of the device driven in real time is measured, and the angle between the measured starting connection line and the horizontal line is applied to the soundness index reference table to obtain the corresponding A section is detected, and a soundness index value corresponding to the detected section is extracted (obtained).
  • the output step (S50) is a step of outputting and providing the soundness index value extracted in the index extraction step (S40) to the manager.
  • the extracted soundness index value of the device is output as an image through a normal monitor, so that the manager can As it is possible to clearly recognize the health status of the device, it is possible to actively establish a plan for management, inspection, and repair according to the health of the device.
  • the end point at which the waveform ends together with the start point and peak point is further measured from the energy waveform for the work process in the normal operating state of the device, and the peak point and end point are aligned in a straight line.
  • the end point at which the waveform ends together with the start point and peak point is further measured from the energy waveform for the work process in the state before the device fails, and the peak point and the end point are connected in a straight line Build more endpoint connection lines to collect more information about the angle between the start connection line and the end connection line and the angle between the end connection line and the horizontal line;
  • the setting step (S30) sets good and bad reference angles for the angle between the start connection line and the end point connection line and the angle between the end point connection line and the horizontal line of the energy waveform for the work process based on the collected information, respectively,
  • the end point along with the start point and peak point are repeatedly collected from the energy waveform for the work process performed repeatedly in the real-time driving state of the device, and the angle between the start connection line and the end point connection line and the end point connection line and the horizontal line An angle between them is measured, and the measured angle is compared with each of the good and bad reference angles to extract a soundness index value.
  • information on the angle ( ⁇ 2) between the start connection line and the end point connection line and the angle ( ⁇ 3) between the end point connection line and the horizontal line is further obtained from the energy waveform in the sound and bad information collection steps (S10 and S20).
  • the angle between the start connection line and the end connection line and the angle between the end connection line and the horizontal line measured from the energy waveform of the driven device are compared with the healthy and defective reference angles, respectively, to extract the health index value so that the manager can determine the health status of the device. lead to clear awareness.
  • each soundness index reference table for the angle between the start connection line and the end point connection line and the angle between the end point connection line and the horizontal line is established, and the soundness index of the device driven in real time is based on the soundness reference table. Since the method of extracting is the same as the method of constructing a soundness index reference table based on the angle between the starting connection line and the horizontal line and extracting the soundness index of the device, a detailed description thereof will be omitted.
  • the energy waveform for the work process collected in the normal operating state of the device is divided into a peak section including a start point and a peak point, and a constant speed section, and the other section is divided into a constant speed section.
  • the value with the largest energy is further measured as the post peak point, and instead of the end point connection line connecting the peak point and the end point in a straight line, the first peak connection line connecting the peak point and the post peak point in a straight line, and the post peak
  • a second peak connection line connecting the point and the end point in a straight line is constructed to obtain angle information between the start connection line and the first peak connection line, the angle between the first peak connection line and the second peak connection line, and the angle between the second peak connection line and the horizontal line. collect more,
  • the energy waveform for the work process in the operating state before the failure of the device is divided into a peak section including a start point and a peak point and other sections into a constant speed section, but in the constant speed section
  • the value with the largest energy is further measured as the post peak point, and instead of the end point connection line connecting the peak point and the end point in a straight line, the first peak connection line connecting the peak point and the post peak point in a straight line, and the post peak
  • a second peak connection line connecting the point and the end point in a straight line is constructed to obtain angle information between the start connection line and the first peak connection line, the angle between the first peak connection line and the second peak connection line, and the angle between the second peak connection line and the horizontal line. collect more,
  • the setting step (S30) is based on the collected information, the angle between the start connection line and the first peak connection line of the energy waveform for the work process, the angle between the first peak connection line and the second peak connection line, and between the second peak connection line and the horizontal line. Set the good and bad reference angles for the angle of
  • the angle between the start connection line and the first peak connection line by repeatedly collecting the start point, peak point, post peak point, and end point from the energy waveform for the work process that is repeatedly performed in real-time driving state of the device.
  • the angle between the first peak connection line and the second peak connection line and the angle between the second peak connection line and the horizontal line are measured, and the measured angles are compared with the healthy and defective reference angles, respectively, to extract a soundness index value.
  • each of the good and bad reference angles are set, and the starting connection line and the first peak measured from the energy waveform of the device driven in real time in the index extraction step (S40)
  • the angle between the connection lines, the angle between the first peak connection line and the second peak connection line, and the angle between the second peak connection line and the horizontal line are compared with each of the good and bad reference angles to extract a soundness index value so that the administrator can determine the health status of the device. leads to a clear perception of
  • each soundness index reference table for the angle between the start connection line and the first peak connection line, the angle between the first peak connection line and the second peak connection line, and the angle between the second peak connection line and the horizontal line is the same as the method of constructing the health index reference table based on the angle between the starting connection line and the horizontal line above and extracting the health index of the device. , a detailed description thereof will be omitted.
  • the method 100 for detecting the health index of a device through the angle to the peak of the present invention can be implemented through a combination of various electronic devices and programs capable of collecting, detecting, contrasting, and alerting the energy waveform of the device, as well as am.
  • the present invention is applicable to the equipment health judgment industry.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)

Abstract

La présente invention concerne un procédé de détection d'un indice d'intégrité d'un dispositif par un angle par rapport à un pic, le procédé comprenant : l'extraction, à partir d'une forme d'onde d'énergie pour un processus de travail effectué par un dispositif dans un état de conduite normal et un état de conduite anormal, d'un point de départ et d'un point de pic qui correspond à la plus grande valeur d'énergie ; des informations de collecte de masse sur l'angle entre une ligne horizontale et une ligne de connexion de départ qui relie le point de départ et le point de pic extraits ; sur la base des informations d'angle collectées, la définition de l'intégrité et des angles de référence de défaut pour l'angle entre la ligne horizontale et la ligne de connexion de départ ; puis la détection et la fourniture, en temps réel, d'une valeur d'indice d'intégrité indiquant l'intégrité du dispositif par comparaison, par rapport à l'intégrité et aux angles de référence de défauts, à l'angle entre la ligne horizontale et la ligne de connexion de départ, qui est mesuré à partir de la forme d'onde d'énergie pour le processus de travail qui est effectué de manière répétée dans un état dans lequel le dispositif fonctionne en temps réel.
PCT/KR2022/013120 2021-09-03 2022-09-01 Procédé de détection d'indice d'intégrité d'un dispositif par un angle par rapport à un pic WO2023033568A1 (fr)

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KR10-2021-0117542 2021-09-03
KR1020210117542A KR102510103B1 (ko) 2021-09-03 2021-09-03 피크에 대한 각도를 통한 기기의 건전성 지수 검출방법

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101643599B1 (ko) * 2015-07-15 2016-07-28 (주)아이티공간 차체 조립 라인의 구동부 모니터링 방법 및 그 장치
WO2017150049A1 (fr) * 2016-02-29 2017-09-08 三菱重工業株式会社 Procédé de diagnostic de dégradation de performance d'élément de machine, et système associé
KR20200081166A (ko) * 2018-12-27 2020-07-07 (주)아이티공간 가공기 툴의 건전성 지수 검출방법
KR20210000538A (ko) * 2019-06-25 2021-01-05 (주)아이티공간 제어 출력신호를 통한 기기의 건전성 지수 검출방법
KR20210075545A (ko) * 2019-12-13 2021-06-23 조선대학교산학협력단 심전도 신호로부터 생체 인식을 위한 특징 벡터 추출 방법 및 그 특징 벡터를 이용한 개인 식별 방법.

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101643599B1 (ko) * 2015-07-15 2016-07-28 (주)아이티공간 차체 조립 라인의 구동부 모니터링 방법 및 그 장치
WO2017150049A1 (fr) * 2016-02-29 2017-09-08 三菱重工業株式会社 Procédé de diagnostic de dégradation de performance d'élément de machine, et système associé
KR20200081166A (ko) * 2018-12-27 2020-07-07 (주)아이티공간 가공기 툴의 건전성 지수 검출방법
KR20210000538A (ko) * 2019-06-25 2021-01-05 (주)아이티공간 제어 출력신호를 통한 기기의 건전성 지수 검출방법
KR20210075545A (ko) * 2019-12-13 2021-06-23 조선대학교산학협력단 심전도 신호로부터 생체 인식을 위한 특징 벡터 추출 방법 및 그 특징 벡터를 이용한 개인 식별 방법.

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