Fan vibration detection device and detection method thereof

Abstract

The invention discloses a fan vibration detection device which comprises a detection unit arranged on a fan, and the fan comprises a motor. The detection unit comprises a plurality of sensors arranged on the motor and used for detecting vibration data of the position where the detection unit is located, and a signal processing unit used for receiving the vibration data detected by the sensors, performing signal analysis and outputting corresponding fault types. Wherein each sensor is arranged on a shell of the motor, the sensor is arranged on the motor, the detected vibration data is analyzed, the corresponding fault type is output, the vibration type is determined by comparing the difference between the normal vibration data and the measured value data, and a maintainer can carry out maintenance according to the identified vibration fault type. And the working efficiency can be improved.

Description

Technical Field

[0001] The invention belongs to the technical field of fans, and in particular relates to a fan vibration detection device and a detection method thereof. Background Art

[0002] During the operation of the fan, vibrations will be generated. It is necessary to identify the size of the vibrations and the causes of the vibrations to prevent abnormal vibrations from causing damage to the fan. The causes of abnormal vibrations are usually the following: the speed of the fan causes resonance at the resonant frequency of the system, resulting in abnormal vibrations of the fan; the imbalance of the fan's rotor mass causes abnormal vibrations. The operation of the fan under abnormal vibration conditions will reduce the fan's service life, affect work efficiency, and easily cause unexpected dangers; at the same time, the prior art sets sensors on the fan blades to detect their vibrations, but this setting method is difficult to operate, and the existing technology for detecting fan vibrations has the problem of low accuracy and inability to identify the type of vibration. It is impossible to determine the type of fault of the fan based on the vibration mode and perform further maintenance. Therefore, it is necessary to develop a fan vibration detection device and a detection method thereof. Summary of the invention

[0003] The object of the present invention is to provide a fan vibration detection device and a detection method thereof to solve the above-mentioned technical problems. A sensor is set on the motor, and the detected vibration data is analyzed and the corresponding fault type is output. The vibration type is determined by comparing the difference between normal vibration data and measured value data. Maintenance personnel can perform maintenance according to the identified vibration fault type, which is beneficial to improving operation efficiency.

[0004] In order to achieve the above-mentioned invention object, the technical solution adopted by the present invention is as follows:

[0005] A fan vibration detection device includes a detection unit arranged on the fan, the fan includes a motor, the detection unit includes a plurality of sensors arranged on the motor and detecting vibration data at the location, and a signal processing unit that receives the vibration data detected by the sensor, performs signal analysis, and then outputs the corresponding fault type. Each sensor is arranged on the housing of the motor, and the sensor is arranged on the motor, and the detected vibration data is analyzed and the corresponding fault type is output. The vibration type is determined by comparing the difference between normal vibration data and measured value data, and maintenance personnel can perform maintenance according to the identified vibration fault type, which is conducive to improving the efficiency of the operation.

[0006] Preferably, the sensor includes a first sensor, a second sensor, a third sensor and a fourth sensor, and the first sensor, the second sensor, the third sensor and the fourth sensor are arranged on the same plane in the vertical direction of the axial direction of the motor. Arranging multiple sensors on the same plane allows the multiple sensors to detect vibration data on the plane in the same axial numerical direction, which is conducive to detecting vibration data from different angles on the same plane, improving the stability of the detection process and avoiding errors in the detection process due to uneven settings.

[0007] Preferably, with the motor as the axis, the first sensor, the second sensor, the third sensor and the fourth sensor are equally spaced on the motor along the circumferential direction. By equally spaced multiple sensors, the stability of the detection process is improved, the uneven setting is avoided to affect the detection accuracy, and the stability of the detection process is improved.

[0008] Preferably, the fault types include resonance and rotor mass imbalance; and the sensor is an acceleration sensor.

[0009] The signal analysis includes normalizing the detected vibration data and comparing the processed vibration data. The vibration data of the fan is detected by multiple acceleration sensors, and the processed data is obtained after normalization. After the processed data is compared with the normal value data, the fault type is determined according to the difference characteristics obtained after the comparison. This determination method is easy to implement and has high accuracy, which is conducive to maintenance personnel to determine the fault type and perform maintenance.

[0010] A detection method, using any of the fan vibration detection devices described above, comprises the following steps:

[0011] S100, vibration data collection, each detection unit collects vibration data;

[0012] S200, signal analysis, processing the acquired vibration data and the vibration data of normal operation to obtain processed vibration data,

[0013] The processed vibration data includes normal value data and measured value data, and the difference between the normal value data and the measured value data is compared;

[0014] S300, determine whether the status of the fan is normal or faulty according to the characteristics of the difference, and if it is a fault, determine the fault type accordingly. The normal value data can be a preset value or the measured data of normal operation; by processing the vibration data, normal value data and measured value data are obtained, and the difference characteristics between the normal value data and the measured value data are compared to determine the fault type, which has high accuracy, and the maintenance personnel can perform maintenance according to the determined fault type.

[0015] Preferably, in step S200, the acquired vibration data is normalized;

[0016] The normalized normal value data correspond to the measurement time, and the normalized measured value data correspond to the measurement time. After the normalization process, the normal value data or the measured value data obtained correspond to the determined measurement time, thereby forming a vibration map.

[0017] Preferably, in step S200, the normalization process is performed once every 10 minutes after the fan is started and runs stably at a predetermined speed.

[0018] Preferably, the normality or failure of the fan is determined by determining whether the measured value data at each corresponding measuring time falls within the allowable range of each normal value data, wherein the allowable range is 1±0.1.

[0019] Preferably, if the measured value data at each corresponding measuring time is more than twice the normal value data at each corresponding measuring time, it is determined that the fault type of the fan is resonance.

[0020] Preferably, if the measured value data of one sensor at the corresponding measuring time is greater than the normal value data, and the single sensor periodically has a vibration peak value; wherein the vibration peak value is 1.25 times greater than the normal value data at the corresponding measuring time, then the fault type of the fan is determined to be rotor mass imbalance. The average value of the measured value data within the corresponding measuring time range is greater than the average value of the normal value data, wherein the difference range of the average values ​​is 1±0.1.

[0021] This application has achieved beneficial technical effects:

[0022] The detection unit of the present invention includes a plurality of sensors arranged on the motor and detecting vibration data at the position, and a signal processing unit that receives the vibration data detected by the sensor, performs signal analysis, and then outputs the corresponding fault type. The sensor is arranged on the motor, and the detected vibration data is analyzed and the corresponding fault type is output. The vibration type is determined by comparing the difference between the normal vibration data and the measured value data. The maintenance personnel can perform maintenance according to the identified vibration fault type, which is conducive to improving the efficiency of the operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 The figure shows the overall block diagram of the fan four-quadrant vibration detection device solution;

[0024] Figure 2 The figure shows the installation structure diagram of the four-quadrant vibration detection device for the fan;

[0025] Figure 3 The figure shows the vibration feedback diagram of the fan in the fourth quadrant of I.

[0026] Figure 4 The figure shows the II four-quadrant vibration feedback diagram of the fan;

[0027] Figure 5 The figure shows the III four-quadrant vibration feedback diagram of the fan;

[0028] Figure 6 The figure shows the vibration feedback diagram of the fan in the fourth quadrant;

[0029] Figure 7 The figure shows the resonance diagram caused by abnormal vibration in quadrant I of the fan;

[0030] Figure 8 The figure shows the resonance diagram caused by abnormal vibration in quadrant II of the fan;

[0031] Fig. 9 The figure shows the resonance caused by abnormal vibration in quadrant III of the fan.

[0032] Fig.10 The figure shows the resonance caused by abnormal vibration in quadrant IV of the fan.

[0033] Fig.11 The figure shows the vibration feedback diagram of abnormal rotor mass imbalance in quadrant I of the fan;

[0034] Fig.12 The figure shows the vibration feedback diagram of abnormal rotor mass imbalance in quadrant II of the fan;

[0035] Fig.13 The figure shows the vibration feedback diagram of abnormal rotor mass imbalance in quadrant III of the fan;

[0036] Fig.14 Shown is the vibration feedback diagram of abnormal vibration in quadrant IV of the fan and the unbalanced rotor mass.

[0037] Reference numerals

[0038] 1- fan; 2- first sensor; 3- second sensor; 4- third sensor; 5- fourth sensor. DETAILED DESCRIPTION

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the specific implementation methods of the present invention will be described below with reference to the accompanying drawings. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings and other implementation methods can be obtained based on these drawings without creative work.

[0040] The technical solution of the present invention is described in detail below with specific embodiments.

[0041] Reference Figures 1 to 14As shown, a fan vibration detection device includes a detection unit arranged on the fan, the fan includes a motor 1, the detection unit includes a plurality of sensors arranged on the motor 1 and detecting vibration data at the location, and a signal processing unit that receives the vibration data detected by the sensor, performs signal analysis, and then outputs the corresponding fault type. Each sensor is arranged on the housing of the motor 1, and by arranging the sensor on the motor 1, analyzing the detected vibration data and outputting the corresponding fault type, the vibration type is determined by comparing the difference between the normal vibration data and the measured value data, and the maintenance personnel can perform maintenance according to the identified vibration fault type, which is conducive to improving the efficiency of the operation.

[0042] The sensor includes a first sensor 2, a second sensor 3, a third sensor 4 and a fourth sensor 5, and the first sensor 2, the second sensor 3, the third sensor 4 and the fourth sensor 5 are arranged on the same plane in the vertical direction of the axial direction of the motor 1. Arranging multiple sensors on the same plane allows the multiple sensors to detect vibration data on the plane in the same axial numerical direction, which is conducive to detecting vibration data from different angles on the same plane, improving the stability of the detection process and avoiding errors in the detection process due to uneven settings.

[0043] With the motor as the axis, the first sensor 2, the second sensor 3, the third sensor 4 and the fourth sensor 5 are equally spaced along the circumferential direction of the motor 1. By equally spaced multiple sensors, the stability of the detection process is improved, the detection accuracy is not affected by uneven settings, and the stability of the detection process is improved.

[0044] The fault types include resonance and rotor mass imbalance; and the sensor is an acceleration sensor.

[0045] The signal analysis includes normalizing the detected vibration data and comparing the processed vibration data. The vibration data of the fan is detected by multiple acceleration sensors, and the processed data is obtained after normalization. After the processed data is compared with the normal value data, the fault type is determined according to the difference characteristics obtained after the comparison. This determination method is easy to implement and has high accuracy, which is conducive to maintenance personnel to determine the fault type and perform maintenance.

[0046] A detection method, using the fan vibration detection device as described above, is characterized in that it comprises the following steps:

[0047] S100, vibration data collection, each detection unit collects vibration data;

[0048] S200, signal analysis, processing the acquired vibration data and the vibration data of normal operation to obtain processed vibration data,

[0049] The processed vibration data includes normal value data and measured value data, and the difference between the normal value data and the measured value data is compared;

[0050] S300, determine whether the status of the fan is normal or faulty according to the characteristics of the difference, and if it is a fault, determine the fault type accordingly. The normal value data can be a preset value or the measured data of normal operation; by processing the vibration data, normal value data and measured value data are obtained, and the difference characteristics between the normal value data and the measured value data are compared to determine the fault type, which has high accuracy, and the maintenance personnel can perform maintenance according to the determined fault type. For a fan with uniform quality and constant speed, there is V I =V II =V III =V IV , satisfying V I -V II +V III –V IV =0, where V I , V II , V III , V IV They are the vibration intensities of the four quadrants of the fan plane, and the vibration intensity of each quadrant is equal.

[0051] In the step S200, the acquired vibration data is normalized;

[0052] The normalized normal value data correspond to the measurement time, and the normalized measured value data correspond to the measurement time. After the normalization process, the normal value data or the measured value data obtained correspond to the determined measurement time, thereby forming a vibration map.

[0053] In the step S200, a normalization process is performed once every 10 minutes after the fan is started and runs stably at a predetermined speed. The vibration intensities of each quadrant corresponding to different fans at different speeds are different. The normalization process is based on the current fan speed and the corresponding vibration data as reference data, and subsequent measurement data are compared with the reference data. In this way, different fans at different speeds can share a set of measurement and judgment standards in the same usage scenario.

[0054] Whether the measured value data at each corresponding measuring time falls within the allowable range of each normal value data is used to determine whether the fan is normal or faulty, wherein the allowable range is 1±0.1.

[0055] If the measured value data at each corresponding measurement time is more than twice the normal value data at each corresponding measurement time, the fault type of the fan is determined to be resonance. The median of the measured value data within a certain interval of the corresponding measurement time is more than twice the median of the normal value at the corresponding measurement time.

[0056] When the measured value data of one of the sensors at the corresponding measurement time is greater than the normal value data, and the single sensor periodically has a vibration peak value; the vibration peak value is 1.25 times greater than the normal value data at the corresponding measurement time, then the fan fault type is determined to be rotor mass imbalance. The average value of the measured value data within the corresponding measurement time range is greater than the average value of the normal value data, and the difference range of the average value is 1±0.1;

[0057] The corresponding output is given according to the determined fault, and the maintenance personnel carry out maintenance according to the output result;

[0058] The vibration value measured by the first sensor corresponds to the first vibration processing value after normalization processing; the vibration value measured by the second sensor corresponds to the second vibration processing value after normalization processing; the vibration value measured by the third sensor corresponds to the third vibration processing value after normalization processing; the vibration value measured by the third sensor corresponds to the third vibration processing value after normalization processing; the vibration value measured by the fourth sensor corresponds to the fourth vibration processing value after normalization processing;

[0059] like Figure 2 The number of sensors provided is four, which are distributed in four quadrants. The first sensor corresponds to the acceleration sensor in quadrant I, the second sensor corresponds to the acceleration sensor in quadrant II, the third sensor corresponds to the acceleration sensor in quadrant III, and the fourth sensor corresponds to the acceleration sensor in quadrant IV; Figure 1 The sensors in the multiple quadrants shown output signals to the signal processing unit for signal analysis and output of the fault type. Figure 2 This patent proposes an installation plan for a four-quadrant vibration detection device for a fan. Four acceleration sensors are installed on the four quadrants of the fan to collect vibration signals in four directions to evaluate the magnitude and symmetry of the vibration, so as to determine whether the fan is working normally.

[0060] like Figures 3 to 6 As shown, it is fed back that when the fan is working normally, the vibration values ​​of the four-quadrant output are collected and normalized to obtain the amplitude of the normal fan vibration. The fluctuations of the four quadrants tend to be consistent and fluctuate in a small range;

[0061] like Figures 7 to 10 As shown and Figures 3 to 6Comparison shows that the corresponding fault type is resonance. When the fan is running with resonance, the vibration of the four-quadrant output will increase abnormally, several times higher than the normal vibration. Figure 7 , the normalized value of the four-quadrant vibration output is twice as high as the normal value, that is, resonance occurs. Maintenance personnel can quickly identify this abnormal working state and shield the fan speed in this state to eliminate resonance. By comparing the difference between normal vibration data and measured value data to determine the vibration type, maintenance personnel can perform maintenance according to the identified vibration fault type, which is conducive to improving work efficiency.

[0062] like Figures 11 to 14 As shown and Figures 3 to 6 Comparison is performed and the corresponding fault type is rotor mass imbalance. When the fan is running, the rotor mass is unbalanced, which will cause the vibration signal output by the four quadrants to be unbalanced. When the rotor mass imbalance reaches the set threshold, it is considered that the fan rotor is damaged. In this state, the vibration signal output by the four quadrants will bring periodic vibration spikes, such as Fig.11 A periodic vibration signal appears in quadrant I, and the overall vibration intensity is higher than that in normal operation. The vibration intensity in quadrants II, III, and IV is also higher. Maintenance personnel can quickly identify this abnormal working state and guide them to inspect the rotor. By comparing the difference between normal vibration data and measured value data to determine the vibration type, maintenance personnel can perform repairs based on the identified vibration fault type, which is beneficial to improving work efficiency.

[0063] The present technical solution provides a four-quadrant vibration detection device and method for a large fan. The present technical solution collects vibration signals from the four quadrants of the fan to determine the vibration condition of the fan, and can effectively and quickly identify the working status of the fan and eliminate faults.

[0064] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0065] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0066] The above is a detailed description of an embodiment of a fan vibration detection device and a detection method thereof provided by the present invention. This article uses specific examples to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the core idea of ​​the present invention. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present invention, the present invention can also be improved and modified, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.

Claims

1. A fan vibration detection device, comprising a detection unit arranged on the fan, characterized in that: The fan comprises a motor (1), and the detection unit comprises a plurality of sensors arranged on the motor (1) and detecting vibration data at the positions thereof, and a signal processing unit which receives the vibration data detected by the sensors, performs signal analysis, and then outputs a corresponding fault type.

2. The fan vibration detection device according to claim 1, characterized in that: The sensors include a first sensor (2), a second sensor (3), a third sensor (4) and a fourth sensor (5); the first sensor (2), the second sensor (3), the third sensor (4) and the fourth sensor (5) are arranged on the same plane in the vertical direction of the axial direction of the motor (1).

3. The fan vibration detection device according to claim 2, characterized in that: With the motor (1) as the axis, the first sensor (2), the second sensor (3), the third sensor (4) and the fourth sensor (5) are distributed at equal intervals along the circumferential direction on the motor (1).

4. According to any one of claims 1-3, the fan vibration detection device, the fault type includes resonance and rotor mass imbalance; the sensor is an acceleration sensor.

5. A detection method, using the fan vibration detection device as described in any one of claims 1 to 4, characterized in that: The following steps are included: S100, vibration data collection, each detection unit collects vibration data; S200, signal analysis, processing the acquired vibration data and the vibration data of normal operation to obtain processed vibration data, The processed vibration data includes normal value data and measured value data, and the difference between the normal value data and the measured value data is compared; S300, determining whether the status of the wind turbine is normal or faulty according to the characteristics of the difference, and if it is faulty, determining the fault type accordingly.

6. The detection method according to claim 5, characterized in that: In the step S200, the acquired vibration data is normalized; The normalized normal value data correspond to the measurement time, respectively, and the normalized measured value data correspond to the measurement time, respectively.

7. The detection method according to claim 6, characterized in that: In the step S200, a normalization process is performed once every 10 minutes after the fan starts to run stably at a predetermined speed.

8. The detection method according to claim 6, characterized in that: Whether the measured value data at each corresponding measuring time falls within the allowable range of each normal value data is used to determine whether the fan is normal or faulty, wherein the allowable range is 1±0.

1.

9. The detection method according to claim 6, characterized in that: If the measured value data at each corresponding measuring time is more than twice the normal value data at each corresponding measuring time, it is determined that the fault type of the fan is resonance.

10. The detection method according to claim 6, characterized in that: If the measured value data of one of the sensors at the corresponding measurement time is greater than the normal value data, and the single sensor periodically has a vibration peak value; where the vibration peak value is 1.25 times greater than the normal value data at the corresponding measurement time, then the fault type of the fan is determined to be rotor mass imbalance.

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