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KR-20260067662-A - METHOD FOR MONITORING THE CONDITION OF ROTATING EQUIPMENT USING TRANSMISSIBILITY FUNCTION

KR20260067662AKR 20260067662 AKR20260067662 AKR 20260067662AKR-20260067662-A

Abstract

The present invention relates to a method for monitoring the state of rotating equipment using a transferability function, comprising the steps of: measuring the response of each vibration sensor at a specific rotational speed using self-rotational force generated by operating rotating equipment equipped with a plurality of vibration sensors by at least one processor of a computer system; obtaining time-domain vibration data from the response of each vibration sensor at a specific rotational speed; converting the obtained time-domain vibration data into frequency-domain vibration data; calculating a transferability function according to each sensor combination using the frequency-domain vibration data for each vibration sensor; predicting the vibration value of a second sensor among a plurality of vibration sensors from the vibration value of a first sensor among a plurality of vibration sensors using the calculated transferability function; calculating the difference between the predicted vibration value of the second sensor and the vibration value of the second sensor measured during the operation of the rotating equipment to derive an error; determining whether the derived error is greater than a preset threshold value; and generating a warning alarm when it is determined that the error is greater than the threshold value. Accordingly, defects related to changes in the state of the rotating equipment can be detected early even when there is no change in the amplitude of the vibration or when it is reduced.

Inventors

  • 장대식
  • 이정한
  • 정변영
  • 정도연
  • 윤두병

Assignees

  • 한국원자력연구원

Dates

Publication Date
20260513
Application Date
20241106

Claims (10)

  1. In a method for monitoring the condition of rotating equipment using a transfer function, by at least one processor of a computer system, A step of measuring the response of each vibration sensor according to the number of rotations using the self-rotational force generated by operating a rotating equipment equipped with multiple vibration sensors; A step of obtaining time-domain vibration data from the response of each vibration sensor according to the rotational speed; A step of converting the acquired time-domain vibration data into frequency-domain vibration data; A step of calculating a transportability function according to each sensor combination using frequency domain vibration data for each of the above vibration sensors; A step of predicting the vibration value of a second sensor among the plurality of vibration sensors from the vibration value of a first sensor among the plurality of vibration sensors using the calculated transferability function; A step of deriving an error by calculating the difference between the predicted vibration value of the second sensor and the vibration value of the second sensor measured during the operation of the rotating equipment; A step of determining whether the above-derived error is greater than a preset threshold; and A method for monitoring the condition of a rotating equipment using a transfer function, comprising the step of generating a warning alarm when it is determined that the above error is greater than a threshold value.
  2. In Article 1, A method for monitoring the state of a rotating equipment using a transferability function, wherein when it is determined that the above error is not greater than a threshold value, the step of calculating the difference between the predicted vibration value of the second sensor and the vibration value of the second sensor measured during the operation of the rotating equipment to derive the error is repeated.
  3. A method for monitoring the state of a rotating equipment using a transportability function, wherein, in claim 1, a plurality of vibration sensors mounted on the rotating equipment are composed of various combinations of one or more acceleration sensors and one or more displacement sensors.
  4. In Article 1, A method for monitoring the state of a rotating equipment using a transfer function, wherein the self-rotational force generated by operating the above-mentioned rotating equipment in a range from 0 RMP to a maximum RPM is used to measure the response of each vibration sensor according to the rotational speed.
  5. In Article 1, A method for monitoring the condition of rotating equipment using a transferability function, wherein the step of converting the acquired time-domain vibration data into frequency-domain vibration data is performed using a fast Fourier transform (FFT).
  6. In Article 1, A method for monitoring the condition of rotating equipment using a transfer function, wherein the above transfer function is used by combining various cases regarding the type and location of vibration sensors.
  7. In Article 1, In the step of calculating a transferability function according to each sensor combination using frequency domain vibration data for each of the above vibration sensors, the transferability function according to the combination of the first sensor and the second sensor is the following mathematical formula (1): … (1) (Here, (w) represents a transferability function based on the combination of the first sensor and the second sensor, X1 (w) represents a vibration value measured by the first sensor, and X2 (w) represents a vibration value measured by the second sensor. A method for monitoring the condition of rotating equipment using a transferability function calculated using
  8. In Article 1, In the step of predicting the vibration value of the second sensor among the plurality of vibration sensors from the vibration value of the first sensor among the plurality of vibration sensors using the above-calculated transferability function, the following mathematical formula (2): … (2) (Here, (w) represents a transferability function according to the combination of the first sensor and the second sensor, and X1 (w) represents a vibration value measured by the first sensor, and (w) represents the vibration value predicted by the second sensor) A method for monitoring the state of a rotating equipment using a transportability function, which predicts the vibration value of the second sensor using the above.
  9. In Article 1, A step of performing dimensionality reduction and model clustering on error data derived by calculating the difference between the predicted vibration value of the second sensor and the vibration value of the second sensor measured during the operation of the rotating equipment; A step of performing area selection and automatic labeling on the grouped data above; and A step of performing a training process for an artificial intelligence (AI) model for defect diagnosis; and A step of diagnosing a defect by loading a diagnostic AI model when the warning alarm is generated based on the above-mentioned trained AI model. A method for monitoring the condition of a rotating equipment using a transferability function, further comprising
  10. A computer-readable recording medium storing a computer program for executing a method according to any one of claims 1 to 9 on a computer system.

Description

Method for Monitoring the Condition of Rotating Equipment Using a Transferability Function The present invention relates to a method for monitoring the condition of rotating equipment using a transfer function. Various types of rotating equipment are installed and operated in industrial plant or process facilities. If unexpected shutdowns occur due to failures in rotating equipment, which plays a critical role in the operation of these plants and process facilities, it can result in significant economic losses and safety accidents. Accordingly, most facilities install Vibration Monitoring Systems (VMS) on key rotating equipment to monitor its status. Traditional VMS monitors the Root Mean Square (RMS) or peak values of vibration signal amplitudes to determine whether abnormal conditions are occurring in rotating equipment. However, since this condition monitoring technique can only detect abnormal conditions when vibration amplitude exceeds a threshold, it has a problem in that it cannot detect minute defects in rotating equipment if there is no change in amplitude or if the amplitude has decreased. In other words, even when vibration amplitude is below the threshold, precursor symptoms of defects such as minute defects may appear, but because these cannot be detected, defects cannot be discovered at an early stage. FIG. 1 is a schematic diagram showing a vibration system for explaining the transmissibility function used in the present invention. FIG. 2 is a conceptual diagram exemplarily illustrating a rotating equipment system including a rotating part, a bearing, and a plurality of vibration sensors according to one embodiment of the present invention. FIG. 3 is a flowchart showing each step of a method for monitoring the state of a rotating equipment using a transferability function according to one embodiment of the present invention. FIG. 4 is a flowchart showing each step of a method for monitoring the state of a rotating equipment using a transferability function according to another embodiment of the present invention. Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings. However, the present invention is not limited by the following embodiments. Additionally, the same reference numerals are used for identical components in the drawings, and redundant descriptions thereof are omitted. FIG. 1 is a schematic diagram of a vibration system to explain the transfer function used in the present invention. In such a vibration system (i.e., a mass-stiffness-damping system) as shown in FIG. 1, for example, when the force input to the system is denoted as F1 , the displacement of mass m1 can be X1 and the displacement of mass m2 can be X2 as a response to this. The relationship between this force ( Fi ) and response ( Xi ) can be defined as shown in Equation 1 below using the Frequency Response Function (FRF), which is a transfer function. As indicated by H ij (w) in Equation 1 above, the FRF is a function that represents the normal response of a vibration system when a sine wave with an arbitrary frequency w acts as an input, and represents characteristic information regarding the vibration response when a force is applied to the vibration system. This FRF can be utilized as a tool to predict the response (X 1 or X 2 ) to an arbitrary force (F 1 ). However, in the past, to obtain the FRF, it was absolutely necessary to input a force into the vibration system through an impact hammer or an excitation device and to obtain the response through a vibration sensor; however, the present invention does not require such a conventional process, which will be described later. Meanwhile, the transmissibility function used in the present invention represents characteristics of vibration transmission or response similar to the FRF described above, but it is a function representing the relationship between response ( Xi ) and response ( Xj ) rather than the relationship between force ( Fi ) input to the vibration system and response ( Xi ), and can be defined as shown in Equation 2 below. According to the above mathematical formula 2, based on the vibration system of FIG. 1 and related person If you know, and through the following mathematical formula 3 It can predict. In the present invention, by predicting the vibration response of each sensor mounted on the rotating equipment system using the transfer function T ij (w) in the manner described above, it is possible to detect an abnormal state of the rotating equipment. In this regard, FIG. 2 is a conceptual diagram illustrating an exemplary rotating equipment system comprising a rotating part, a bearing, and a plurality of vibration sensors according to an embodiment of the present invention. Referring to FIG. 2, a rotating equipment according to an embodiment of the present invention comprises a rotating part composed of a blade (26) and a rotating shaft (25) and bearings (21a, 21b), and a plurality of vi