Method for evaluating health state of rotating equipment

Abstract

The invention discloses a rotating equipment health state evaluation method, and belongs to the technical field of equipment state intelligent analysis. According to the method, a health state analysis model is established by acquiring vibration signals in the operation process of the rotating equipment, and the health state change conditions of the rotating equipment under different operation durations of the rotating equipment are analyzed; according to the established health state analysis model, determining the size of a sliding window intercepted when the vibration signal of the rotating equipment is analyzed in the current state; determining a health assessment value of the rotating equipment in the current state according to the size of a sliding window intercepted during vibration signal analysis of the rotating equipment in the current state; the health assessment value of the rotating equipment in the current state is monitored, whether an alarm needs to be given or not is judged, and a manager overhauls the rotating equipment in advance according to reminding of an alarm signal, so that the safety risk of equipment faults is reduced, and the adaptability of the system and the accuracy of health state analysis are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent analysis of equipment status, and particularly to a method for evaluating the health status of rotating equipment. Background Technique

[0002] Rotating equipment is a core component in industrial production. Its operating status is directly related to production efficiency and safety. Once a failure occurs, it may lead to equipment shutdown, production interruption, and even safety accidents. Traditional health status evaluation of rotating equipment mainly relies on regular maintenance and manual inspection. This method not only has low efficiency but also is difficult to grasp the operating status of the equipment in real time, and it is prone to misjudgment or missed inspection. With the development of sensor technology and artificial intelligence technology, through real-time monitoring of vibration signals, intelligent evaluation of the health status of rotating equipment has been realized, achieving intelligent management of the equipment and reducing safety risks caused by equipment failures.

[0003] During the service process of rotating equipment, there is a process of gradual degradation of the health status. This process is relatively slow, and the signal changes are not obvious in the early stage. Moreover, the vibration signal characteristics basically remain unchanged in the early health state and show obvious monotonicity after entering the decline period. Existing fault diagnosis algorithms perform time-domain analysis by using a sliding window of a fixed size, but it is difficult for the system to select vibration signal characteristics with obvious monotonicity over time in a limited number of tests, resulting in greater difficulty in extracting fault characteristics of rotating equipment and low accuracy of health status evaluation. Summary of the Invention

[0004] The purpose of the present invention is to provide a method for evaluating the health status of rotating equipment to solve the problems raised in the above background technique.

[0005] To solve the above technical problems, the present invention provides the following technical solution: A method for evaluating the health status of rotating equipment, the method includes the following steps:

[0006] Step S1: Obtain the vibration signal during the operation of the rotating equipment; establish a cloud database and store the vibration signals during the operation of different rotating equipment as historical data; based on the historical vibration signals of the rotating equipment in the fault state existing in the cloud database, establish a health status analysis model to analyze the change of the health status of the rotating equipment under different operating durations of the rotating equipment.

[0007] Step S2: Determine the change range of the size of the sliding window intercepted during the analysis of the vibration signal of the rotating equipment, and determine the total operating duration of the rotating equipment in the current state. According to the health status analysis model established in step S1, determine the size of the sliding window intercepted during the analysis of the vibration signal of the rotating equipment in the current state.

[0008] Step S3: Take the state of the rotating device during its initial operation as the completely healthy state, analyze the vibration signals of the rotating device in the completely healthy state to obtain the health factors of the rotating device in the completely healthy state; analyze the vibration signals of the rotating device in the faulty state to obtain the health factors of the rotating device in the faulty state.

[0009] Step S4: According to the size of the sliding window intercepted during the analysis of the vibration signals of the rotating device in the current state determined in Step S2, analyze the vibration signals of the rotating device in the current state to obtain the health factors of the rotating device in the current state, and determine the health assessment value of the rotating device in the current state based on the health factors of the rotating device in the completely healthy state and the health factors of the rotating device in the faulty state.

[0010] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: By establishing a health state analysis model, analyze the changes in the health state of the rotating device under different total operation durations, so as to determine the degree of failure of the rotating device according to the health state of the rotating device, and better capture the failure characteristics of the rotating device; adaptively adjust the size of the sliding window according to the health state of the rotating device, thereby improving the adaptability of the system and the accuracy of health state analysis; alarm for abnormal rotating devices to remind managers to repair the rotating device in advance, thereby reducing the safety risk of equipment failure. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a schematic diagram of the steps of a method for evaluating the health state of a rotating device according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0012] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0013] The present invention analyzes the changes in the health state of the rotating device under different rotating device operation durations based on historical vibration signals, and dynamically adjusts the size of the sliding window intercepted during the analysis of the vibration signals in combination with the real-time total operation duration of the rotating device, so as to better capture the failure characteristics of the rotating device; according to the size of the intercepted sliding window, analyze the vibration signals during the operation of the rotating device, determine the health factors of the rotating device in different states, and determine the health assessment value according to the health factors of the rotating device in different states, thereby evaluating the health state of the rotating device and improving the adaptability of the system and the accuracy of health state analysis.

[0014] Please refer toFigure 1 , the present invention provides the following technical solutions:

[0015] Please refer to Figure 1 , in the first embodiment: a method for evaluating the health state of a rotating device is provided, and the method includes the following steps:

[0016] Step S1, obtain the vibration signal during the operation of the rotating device; establish a cloud database, store the vibration signals during the operation of different rotating devices as historical data; based on the historical vibration signals of the rotating device failure state in the cloud database, establish a health state analysis model to analyze the change of the health state of the rotating device under different operation durations of the rotating device.

[0017] Specifically, the method steps are as follows:

[0018] Step S11, retrieve and analyze the historical vibration signals of the rotating device failure state from the cloud database, and according to the retrieved historical vibration signals of different rotating devices, determine the time stamps when the rotating device fails, and obtain the total operation durations B 1 , B 2 ,..., B z ; where z represents the number of rotating devices with rotating device failure retrieved and analyzed from the cloud database; according to the maximum value among B 1 , B 2 ,..., B z , divide the time period of the rotating device operation duration into [0, b 1 , (b 1 , b 2 ,..., (b r-1 , b r , substitute B 1 , B 2 ,..., B z into the divided time periods, and determine the frequencies P 1 , P 2 ,..., P z of B 1 , P 2 ,..., P r that appear in different time periods; where b 1 , b 2 ,..., b r-1 , b r respectively represent the operation durations of different rotating devices;

[0019] Step S12: Establish a health status analysis model. Take the frequency of the total operation duration of different rotating devices when a failure occurs in different time periods as the health status of the rotating device, analyze the change of the health status of the rotating device under different operation durations of the rotating device, and according to the calculation formula:

[0020]

[0021] where b represents the operation duration of the rotating device; P(b) represents the health status of the rotating device changing with the operation duration b of the rotating device; k represents the influence rate of the operation duration of the rotating device on the health status of the rotating device; m represents the influence degree of the operation duration of the rotating device on the health status of the rotating device; k > 0; m > 1;

[0022] Step S13: Take P 1 、P 2 、...、P r in Step S11 as the training parameters of the health status P of the rotating device in Step S12 respectively, and take b 1 、b 2 、...、b r-1 、b r in Step S11 as the training parameters of the operation duration b of the rotating device in Step S12 respectively, substitute them into the calculation formula in Step S12, and calculate the values of k and m.

[0023] It should be noted that the total operation duration represents the total duration of the rotating device that has been operated, including the cycle from the start to the end of the operation of multiple rotating devices; the operation duration represents the duration of the rotating device that has been operated; the above different rotating devices are all rotating devices of the same specification and type, and there is a corresponding historical vibration signal for each rotating device; divide the time periods of the operation duration of the rotating device [0, b 1 , (b 1 , b 2 ,..., (b r-1 , b r , the range sizes within each time period interval are the same, the larger the number r of divided time periods, the higher the accuracy of the analysis of the change of the health status of the rotating device, and P u represents B 1 、B 2 、...、B zThe frequency that appears in the u-th time period; in the initial stage of the operation, the rotation equipment ages slowly and has fewer fault characteristics. As the operation duration of the rotation equipment increases, the equipment gradually ages, the fault characteristics change and intensify continuously. Therefore, when analyzing the change of the health state of the rotation equipment, k > 0 and m > 1; by establishing a health state analysis model, taking the frequency that the total operation duration of different rotation equipment appears in different time periods when a fault occurs as the health state of the rotation equipment, the higher the frequency that appears in a certain time period, the more likely the rotation equipment is to have a fault in that time period. Through the above calculation formula, taking the total operation duration of different rotation equipment when a fault occurs as the analysis data of the health state of the rotation equipment is convenient for dynamically adjusting the size of the sliding window later and better capturing the fault characteristics of the rotation equipment; in this implementation, the faults of the rotation equipment include but are not limited to bearing faults and the rotation equipment stopping operation caused by loosening of mechanical structures or components.

[0024] Step S2: Determine the change range of the size of the sliding window intercepted during the analysis of the vibration signal of the rotation equipment, and determine the total operation duration of the rotation equipment in the current state. According to the health state analysis model established in step S1, determine the size of the sliding window intercepted during the analysis of the vibration signal of the rotation equipment in the current state.

[0025] Specifically, the method steps are as follows:

[0026] Step S21: Determine the change range [T min , T max of the size of the sliding window intercepted during the analysis of the vibration signal of the rotation equipment; where T min represents the minimum value of the sliding window length; T max represents the maximum value of the sliding window length; and determine the total operation duration B 0 of the rotation equipment in the current state;

[0027] Step S22: According to T min , T max , B 0 and the established health state analysis model, calculate the size T of the sliding window intercepted during the analysis of the vibration signal of the rotation equipment in the current state:

[0028]

[0029] Where the value of T min should satisfy the condition: f s represents the sampling frequency of the vibration signal; f max represents the highest frequency component in the vibration signal.

[0030] It should be noted that when analyzing vibration signals, the vibration signals need to be divided by a sliding window. At this time, T is determined according to the maximum and minimum values that the sliding window can adjust during the analysis of historical vibration signals in the cloud database. max and T min , and the value of T max should be such that the divided vibration signals contain multiple analysis periods; through the established health status analysis model, the changes in the health status of rotating equipment under different operating durations of rotating equipment are used as analysis data, and the total operating duration B 0 of the rotating equipment in the current state is substituted into the calculation formula of the health status analysis model to predict the health status of the rotating equipment in the current state. And based on the change range of the sliding window size and the health status of the rotating equipment in the current state, the size T of the sliding window intercepted during the analysis of the vibration signal of the rotating equipment in the current state is calculated, and the size of the sliding window intercepted during the analysis of the vibration signal is adjusted according to the calculated T, so as to better capture the fault characteristics of the rotating equipment; in the initial stage of the operation of the rotating equipment, the equipment degradation is not obvious at this time, and the fault characteristics in the vibration signal may be relatively weak and change rapidly. At this time, intercepting a smaller sliding window can improve the time resolution, so as to better capture the transient changes and weak fault characteristics of the vibration signal; as the operating duration of the rotating equipment increases, the equipment gradually degrades, the fault characteristics are more obvious and enter a stable stage. At this time, the sliding window is increased to improve the frequency resolution of the vibration signal, and the health status of the rotating equipment is evaluated by analyzing the fault characteristics of the rotating equipment, which improves the accuracy of the analysis of the health status of the rotating equipment.

[0031] Step S3: Take the state of the rotating equipment during its initial operation as the completely healthy state, analyze the vibration signals of the rotating equipment in the completely healthy state, and obtain the health factors of the rotating equipment in the completely healthy state; analyze the vibration signals of the rotating equipment in the fault state, and obtain the health factors of the rotating equipment in the fault state.

[0032] Step S4: According to the size of the sliding window intercepted during the analysis of the vibration signal of the rotating equipment in the current state determined in Step S2, analyze the vibration signal of the rotating equipment in the current state, obtain the health factors of the rotating equipment in the current state, and determine the health assessment value of the rotating equipment in the current state according to the health factors of the rotating equipment in the completely healthy state and the health factors of the rotating equipment in the fault state.

[0033] Furthermore, the method for analyzing the vibration signals of the rotating equipment to determine the health factors of the rotating equipment is: through Fourier transform, the vibration signals of the rotating equipment are converted from time-domain signals into frequency-domain signals, and M s features are extracted from the time-domain signals and frequency-domain signals to form a feature matrix where T represents the size of the sliding window intercepted during the analysis of the vibration signal; Ms represents the number of types of features extracted from the time-domain signal and the frequency-domain signal; for the feature matrix after performing normalization processing, the normalization processing result is obtained Calculate the covariance matrix of to obtain the eigenvalue λ i and the orthogonal eigenvector Select the pair of orthogonal eigenvectors corresponding to the maximum eigenvalue of the covariance matrix Perform reconstruction on, reduce the number of dimensions corresponding to M s types of features to 1 dimension, and after smoothing, the health factor is obtained.

[0034] It should be noted that the features extracted from the time-domain signal and the frequency-domain signal include mean value, peak value, standard deviation, root mean square, skewness, energy, kurtosis, sk mean value, crest factor, sk standard deviation, impulse factor, sk skewness, shape factor, sk kurtosis, marginal factor.

[0035] Furthermore, the method for determining the health assessment value of the rotating equipment in the current state is as follows: According to the health factor of the rotating equipment in the completely healthy state, determine the maximum value h of the health factor max ; According to the health factor of the rotating equipment in the faulty state, determine the minimum value h of the health factor min ; Analyze the vibration signal of the rotating equipment in the current state to obtain the health factor h of the rotating equipment in the current state 1 、h 2 、...、h y ; According to h max 、h min and h 1 、h 1 、...、h y , calculate the health assessment value H of the rotating equipment in the current state:

[0036]

[0037] where y represents the number of health factors obtained by analyzing the vibration signal of the rotating equipment in the current state; h i represents the i-th health factor of the rotating equipment in the current state.

[0038] It should be noted that when analyzing the vibration signal of the rotating equipment in the current state, the analyzed vibration signal is the vibration signal generated during the period from the start of operation to the end of operation of the rotating equipment in the current state; multiple health factors will be generated according to the intercepted size of the sliding window during the analysis of the vibration signal of the current state of the rotating equipment; among them, the maximum value h of the health factor maxThe average value of the health factor in the completely healthy state of the rotating equipment. When analyzing the vibration signal of the rotating equipment in the completely healthy state, the size of the sliding window intercepted is determined by the total operation duration of the rotating equipment in the completely healthy state; the minimum value h of the health factor min The average value of the health factor in the faulty state of the rotating equipment. When analyzing the vibration signal of the rotating equipment in the faulty state, the size of the sliding window intercepted is determined by the total operation duration of the rotating equipment in the faulty state.

[0039] Furthermore, the health factor, health assessment value, and size of the intercepted sliding window of the rotating equipment are digitally displayed. Managers can view the digital display results through the interactive platform and adjust the size of the sliding window intercepted during the analysis of the vibration signal of the rotating equipment.

[0040] In this embodiment, the health assessment value of the rotating equipment in the current state is monitored. According to the health assessment alarm threshold of the rotating equipment, it is judged whether an alarm needs to be issued; when the health assessment value of the rotating equipment in the current state is less than the health assessment alarm threshold, the rotating equipment is normal, continue to monitor, and repeat steps S1 - S4 to recalculate the size T of the sliding window intercepted during the analysis of the vibration signal of the rotating equipment in the current state, and adaptively adjust the size of the sliding window according to the health state of the rotating equipment to improve the adaptive ability of the system; when the health assessment value of the rotating equipment in the current state is greater than the health assessment alarm threshold, the rotating equipment is abnormal, issue an alarm, and send the alarm signal to the manager; the manager repairs the rotating equipment in advance according to the reminder of the alarm signal, thereby reducing the safety risk of equipment failure.

[0041] In another embodiment, when the rotating equipment is in the completely healthy state, the health assessment value of the rotating equipment is 100 points; when the rotating equipment is in the faulty state, the health assessment value of the rotating equipment is 0 points; evaluate the state of the corresponding single machine or component of the rotating equipment to determine the health assessment value of the rotating equipment in the current state. When the health assessment value score is above 80 points, the rotating equipment is normal; when the health assessment value score is between 40 and 80 points, a safety warning is issued; when the health assessment value score is below 40 points, the rotating equipment fails, and at this time, stop the equipment operation and send an alarm signal to the manager, so as to facilitate the manager to carry out maintenance.

[0042] In the second embodiment: A rotating equipment health state assessment system is provided, which includes a signal acquisition module, a cloud database, a model analysis module, a sliding window calculation module, a health assessment module, a monitoring module, and a display module;

[0043] The signal acquisition module is used to obtain vibration signals during the operation of rotating equipment and send the acquired vibration signals to the cloud database; the cloud database is used to store the vibration signals during the operation of different rotating equipment as historical data; the model analysis module is used to establish a health status analysis model based on the historical vibration signals of the rotating equipment failure state in the cloud database and analyze the changes in the health status of the rotating equipment under different operating durations of the rotating equipment; the sliding window calculation module is used to determine the change range of the sliding window size intercepted during the analysis of the rotating equipment vibration signal, determine the total operating duration of the rotating equipment in the current state, and determine the sliding window size intercepted during the analysis of the rotating equipment vibration signal according to the health status analysis model established in the model analysis module; the health assessment module is used to analyze the vibration signal of the rotating equipment in the current state to obtain the health factor of the rotating equipment in the current state, and determine the health assessment value of the rotating equipment in the current state according to the health factor of the rotating equipment in the completely healthy state and the health factor of the rotating equipment in the failure state; the monitoring module is used to monitor the health assessment value of the rotating equipment in the current state, judge whether an alarm is needed according to the health assessment alarm threshold of the rotating equipment, and if an alarm is needed, send an alarm signal to the management personnel; the display module is used to digitally display the health factor, health assessment value and intercepted sliding window size of the rotating equipment, and the management personnel can view the digital display result through the interaction platform and adjust the intercepted sliding window size during the analysis of the rotating equipment vibration signal.

[0044] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for evaluating the health status of rotating equipment, characterized in that: The method comprises the following steps: Step S1, obtaining vibration signals during the operation of the rotating equipment; establishing a cloud database to store vibration signals during the operation of different rotating equipment as historical data; establishing a health status analysis model based on historical vibration signals of rotating equipment failure states in the cloud database to analyze changes in the health status of the rotating equipment under different operating durations of the rotating equipment; Step S2, determining the range of variation of the sliding window size intercepted when analyzing the vibration signal of the rotating equipment, and determining the total operation time of the rotating equipment in the current state, and determining the sliding window size intercepted when analyzing the vibration signal of the rotating equipment in the current state according to the health status analysis model established in step S1; Step S3, taking the state of the rotating equipment when it is first operated as a completely healthy state, analyzing the vibration signal of the rotating equipment in the completely healthy state to obtain the health factor of the rotating equipment in the completely healthy state; analyzing the vibration signal of the rotating equipment in the fault state to obtain the health factor of the rotating equipment in the fault state; Step S4, according to the sliding window size intercepted when analyzing the vibration signal of the rotating equipment in the current state determined in step S2, analyze the vibration signal of the rotating equipment in the current state to obtain the health factor of the rotating equipment in the current state, and determine the health assessment value of the rotating equipment in the current state according to the health factor of the rotating equipment in a completely healthy state and the health factor of the rotating equipment in a fault state.

2. A method for evaluating the health status of rotating equipment according to claim 1, characterized in that: The method steps of step S1 are: Step S11: retrieve historical vibration signals of rotating equipment failure status from the cloud database for analysis, determine the timestamp of the rotating equipment failure based on the retrieved historical vibration signals of different rotating equipment, and obtain the total operation time B1, B2, ..., B when the different rotating equipment fails. z ; Wherein, z represents the number of rotating equipment with rotating equipment failures retrieved and analyzed from the cloud database; according to B1, B2, ..., B z The maximum value in the table divides the operating time of the rotating equipment into time periods [0,b1], (b1,b2], ..., (b r-1 ,b r ], and B1, B2, ..., B z Substitute into the divided time period and determine B1, B2, ..., B z The frequencies of occurrence in different time periods are P1, P2, ..., P r ; Among them, b1, b2, ..., b r-1 、b r They represent the operating time of different rotating equipment respectively; Step S12: Establish a health status analysis model, take the frequency of the total operation time when different rotating equipment fails in different time periods as the health status of the rotating equipment, analyze the changes in the health status of the rotating equipment under different operating times of the rotating equipment, and calculate according to the formula: Wherein, b represents the operating time of the rotating equipment; P(b) represents the health status of the rotating equipment that changes with the operating time b of the rotating equipment; k represents the rate at which the operating time of the rotating equipment affects the health status of the rotating equipment; m represents the degree of influence of the operating time of the rotating equipment on the health status of the rotating equipment; k>0; m>1; Step S13: P1, P2, ..., P in step S11 r As training parameters of the health state P of the rotating device in step S12, b1, b2, ..., b in step S11 r-1 、b r They are respectively used as training parameters of the rotating equipment operation duration b in step S12, substituted into the calculation formula of step S12, and the values ​​of k and m are calculated.

3. A method for evaluating the health status of rotating equipment according to claim 2, characterized in that: The method steps of step S2 are: Step S21, determining the sliding window size variation range [T min ,T max ]; where T min Indicates the minimum value of the sliding window length; T max The maximum value of the sliding window length; and determine the total operation time B0 of the rotating equipment in the current state; Step S22: According to T min , T max , B0 and the established health status analysis model, calculate the sliding window size T intercepted when analyzing the vibration signal of the rotating equipment in the current state: Among them, T min The value of should satisfy the following conditions: f s Indicates the sampling frequency of the vibration signal; f max Indicates the highest frequency component in the vibration signal.

4. A method for evaluating the health status of rotating equipment according to claim 3, characterized in that: The method for analyzing the vibration signal of the rotating equipment and determining the health factor of the rotating equipment is as follows: the vibration signal of the rotating equipment is converted from a time domain signal to a frequency domain signal through Fourier transform, and M is extracted from the time domain signal and the frequency domain signal. s features, forming a feature matrix Where T represents the size of the sliding window intercepted during vibration signal analysis; M s Represents the number of feature types extracted from time domain signals and frequency domain signals; for the feature matrix After standardization, the standardized results are obtained. calculate The covariance matrix of i and orthogonal eigenvectors Select the orthogonal eigenvector pair corresponding to the maximum eigenvalue of the covariance matrix Reconstruct and convert M s The number of dimensions corresponding to the features is reduced to 1 dimension, and the health factor is obtained after smoothing.

5. A method for evaluating the health status of rotating equipment according to claim 4, characterized in that: The method for determining the health assessment value of the rotating equipment in the current state is: according to the health factor of the rotating equipment in a completely healthy state, determine the maximum value of the health factor h max ; According to the health factor of the rotating equipment under fault conditions, determine the minimum value of the health factor h min ; Analyze the vibration signal of the rotating equipment in the current state to obtain the health factors h1, h2, ..., h of the rotating equipment in the current state y According to h max 、h min and h1, h1, ..., h y , calculate the health assessment value H of the rotating equipment in the current state: Where y represents the number of health factors obtained by analyzing the vibration signal of the rotating equipment in the current state; h i Indicates the i-th health factor of the rotating device in the current state.

6. A method for evaluating the health status of rotating equipment according to claim 5, characterized in that: The health factors, health assessment values ​​and intercepted sliding window sizes of rotating equipment are digitally displayed. Managers can view the digital display results through the interactive platform and adjust the size of the sliding window intercepted when analyzing the vibration signals of rotating equipment.

7. A method for evaluating the health status of rotating equipment according to claim 1, characterized in that: Monitor the health assessment value of the rotating equipment in the current state, and determine whether an alarm is needed based on the health assessment alarm threshold of the rotating equipment; when the health assessment value of the rotating equipment in the current state is less than the health assessment alarm threshold, the rotating equipment is normal, continue monitoring, and repeat steps S1-S4 to recalculate the sliding window size T intercepted when analyzing the vibration signal of the rotating equipment in the current state; when the health assessment value of the rotating equipment in the current state is greater than the health assessment alarm threshold, the rotating equipment is abnormal, an alarm is issued, and the alarm signal is sent to the management personnel.

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