WO2023185429A1 - 定子铁心压紧状态故障检测方法、装置、发电机组监测系统及计算机可读存储介质 - Google Patents
定子铁心压紧状态故障检测方法、装置、发电机组监测系统及计算机可读存储介质 Download PDFInfo
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- WO2023185429A1 WO2023185429A1 PCT/CN2023/081008 CN2023081008W WO2023185429A1 WO 2023185429 A1 WO2023185429 A1 WO 2023185429A1 CN 2023081008 W CN2023081008 W CN 2023081008W WO 2023185429 A1 WO2023185429 A1 WO 2023185429A1
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- 238000001514 detection method Methods 0.000 title claims abstract description 68
- 238000012544 monitoring process Methods 0.000 title claims abstract description 62
- 230000002159 abnormal effect Effects 0.000 claims abstract description 145
- 230000006835 compression Effects 0.000 claims description 41
- 238000007906 compression Methods 0.000 claims description 41
- 238000005259 measurement Methods 0.000 claims description 41
- 230000008859 change Effects 0.000 claims description 17
- 238000012937 correction Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 12
- 230000009471 action Effects 0.000 claims description 2
- 238000000034 method Methods 0.000 abstract description 9
- 238000012423 maintenance Methods 0.000 abstract description 6
- 230000005856 abnormality Effects 0.000 description 12
- 230000036316 preload Effects 0.000 description 4
- 238000012360 testing method Methods 0.000 description 4
- 230000035515 penetration Effects 0.000 description 3
- 238000009434 installation Methods 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002301 combined effect Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003449 preventive effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000011895 specific detection Methods 0.000 description 1
- 230000008646 thermal stress Effects 0.000 description 1
- 238000010977 unit operation Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
- G01R31/343—Testing dynamo-electric machines in operation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
Definitions
- the present application relates to the technical field of online monitoring of generator operation, and in particular to a stator core compression state fault detection method and device, a generator set monitoring system and a computer-readable storage medium.
- stator core When the generator is running, the stator core will be subject to the combined effects of mechanical force, thermal stress and electromagnetic force. Long-term operation of the generator will cause the stator core compression force to gradually decrease under the combined action of various factors. If the reduction of the stator core's pressing force cannot be monitored in time and effectively warned and controlled, it will cause the stator core to loosen, cause the generator set to vibrate and produce noise, and even cause broken teeth, burning damage and wire rod breakage. Accidents such as pressure may cause the unit to shut down abnormally, resulting in huge economic losses.
- the monitoring method that relies on periodic maintenance of power plants is, on the one hand, untargeted and has low work efficiency; on the other hand, it is impossible to grasp the compression status of the stator core in real time and provide early warning for abnormal situations.
- the monitoring method using pressure sensors is, on the one hand, limited by the small installation space, making installation inconvenient; on the other hand, this monitoring method requires the monitoring pieces to fit together and form an annular detection group with the core axis as the center, and also needs to be along the stator core axis. It is arranged in multiple layers and the monitoring structure is complex. In addition, since stator core looseness usually first appears in the teeth of the stator core side segments, this monitoring method also has the problem of not being highly targeted.
- the main purpose of this application is to provide a stator core compression state fault detection method, device, generator set monitoring system and computer-readable storage medium to obtain abnormal core screws more accurately positioning information, thereby improving the efficiency of later maintenance.
- stator core compression state fault detection method including:
- the measuring point group includes a plurality of measuring points respectively arranged at different threaded screws, each measuring point is configured to measure the axial force of several threaded screws, and the distance between adjacent measuring points is irrelevant. the closest distance.
- the suspected measurement point is any measurement point with abnormal information or multiple measurement points with abnormal information.
- the adjacent measuring points of the suspected measuring point are one or more measuring points closest to the suspected measuring point in multiple directions.
- the suspected measuring point if there is abnormal information in the adjacent measuring points of the suspected measuring point, and when there is one adjacent measuring point in the suspected measuring point, it is determined that the suspected measuring point The threaded screw in the common monitoring area of the measuring point adjacent to the suspected measuring point is abnormal; when there are multiple adjacent measuring points to the suspected measuring point, it is determined that the suspected measuring point and the suspected measuring point The penetration screw is abnormal in the common monitoring area of multiple adjacent measuring points where abnormality occurs.
- the following steps are also included:
- determining the area where the abnormal threaded screw is located based on t1 and t2 includes:
- the distance ratio between the abnormal core screw and the suspected measuring point and the adjacent measuring point of the suspected measuring point is t2/t1 ⁇ c%, where c% is the correction value.
- the percentage of the axial force change of the piercing screw at the suspected measuring point is obtained.
- determining the area where the abnormal threaded screw is located based on t2 0 , t2 1 , t2 2 ⁇ t2 n-1 , t2 n includes:
- the ratio of the distance between the abnormal core screw and the suspected measuring point and the adjacent measuring point of each suspected measuring point is t2 0 /t1 ⁇ c 0 %, t2 1 /t1 ⁇ c 1 % t2 2 /t1 ⁇ c 2 % ⁇ t2 n-1 /t1 ⁇ c n-1 %, t2 n /t1 ⁇ c n %, where c 0 %, c 1 %, c 2 % ⁇ c n-1 %, c n % is the correction value.
- the area where the abnormal threading screw is located is defined as the area where the theoretical abnormal threading screw is located;
- the distance between the actual hole-piercing screw and the theoretical abnormal hole-piercing screw range is ⁇ L
- the normal detection group detects the abnormal information of the suspected measuring point and determines that the abnormal threaded screw is located in the common monitoring area of the suspected measuring point and the measuring points adjacent to the suspected measuring point, then Enable other groups of measurement points that are closer to adjacent measurement points than the normal detection group; wherein, one or more measurement points in the other groups of activated measurement points are located adjacent to the suspected measurement point and the suspected measurement point within the common monitoring area of the measuring points.
- At most one measuring point is provided for each of the piercing screws at different positions.
- the initial position screw has different looseness levels, and the different looseness levels are adjusted to adjust the preload force.
- the looseness levels include first level, second level, third level, fourth level and fifth level;
- the first level is [85%, 100%] of the through-screw load
- the second level is [70%, 85%) of the through-screw load
- the third level is [60%, 70%) of the through-screw load
- the fourth level is [10%, 60%) of the through-screw load
- the fifth level is [0, 10%) of the through-screw load.
- stator core compression state fault detection device including:
- the judgment module determines that the threaded screw is abnormal in the common monitoring area of the suspected measuring point and the measuring points adjacent to the suspected measuring point, it also includes: Do the following:
- the judgment module further includes performing the following steps:
- the area where the abnormal threading screw is located is defined as the area where the theoretical abnormal threading screw is located;
- the judgment module also includes performing the following operations:
- the normal detection group detects the abnormal information of the suspected measuring point and determines that the abnormal threaded screw is located in the common monitoring area of the suspected measuring point and the measuring points adjacent to the suspected measuring point, then Enable other groups of measurement points that are closer to adjacent measurement points than the normal detection group; wherein at least one measurement point in the other groups of activated measurement points is located between the suspected measurement point and the measurement point adjacent to the suspected measurement point within the joint monitoring area.
- this application also provides a generator set monitoring system, including a data acquisition module, a memory and a processor.
- the memory stores a computer program.
- the computer program is executed by the processor, the above stator core compression state is achieved. Fault detection methods.
- this application also provides a computer-readable storage medium on which a computer program is stored, and the computer program is loaded by the processor to execute the above stator core compression state fault detection method.
- the stator core compression state fault detection method provided by this application can further locate the abnormal core screw by further searching for the position of the abnormal core screw, and obtain more accurate information. At the same time, it can also locate the abnormal core screw.
- the monitoring component performs auxiliary verification to avoid inaccuracy of monitoring information due to abnormalities in the monitoring component itself.
- Figure 1 is a flow chart of a stator core compression state fault detection method provided by some embodiments of the present application.
- Figure 2 is a partial flow chart of a stator core compression state fault detection method provided by some embodiments of the present application.
- An embodiment of the present application provides a stator core compression state fault detection method, as shown in Figures 1 and 2, including the following steps:
- S20 Determine whether there is abnormal information in the status of adjacent measuring points of the suspected measuring point
- the measuring point group includes multiple measuring points respectively arranged at different threaded screws. Each measuring point is configured to measure the axial force of several threaded screws. The distance between adjacent measuring points is the nearest irrelevant one. distance.
- the suspected measurement point may be any measurement point with abnormal information among all the arranged measurement points, or multiple measurement points with abnormal information.
- the monitoring system monitors multiple measuring points in the measuring point group simultaneously to monitor the compression state of the entire stator core.
- the adjacent measuring points of the suspected measuring point refer to the one or more measuring points closest to the suspected measuring point in multiple directions along the surface of the stator core.
- the measuring point group includes measuring points for obtaining the axial force of several threaded screws.
- the axial force detection point of a through-core screw is a measuring point.
- An axial force detection component is provided at the measuring point to obtain the axial force of the corresponding threaded screw.
- a measurement point group includes multiple measurement points. During layout, any two adjacent measuring points in the measuring point group are not related. The measuring points are irrelevant means that when the threaded screw corresponding to one of the measuring points loosens, the axial force of the threaded screw corresponding to the adjacent measuring point will not change.
- Each measuring point on the stator core can monitor the looseness of all stator cores within a circular range with the measuring point as the center and a certain distance in diameter. The distance between adjacent measuring points is the nearest irrelevant distance.
- the threaded screw rod is related to the threaded screw rod at the measuring point.
- the core screw becomes loose, the core screw whose distance from the core screw is smaller than the irrelevant nearest measuring point will also be affected, and then be detected by the axial force detection component.
- the arrangement of the measuring point groups is as described above. In different examples, multiple measuring point groups may be set according to the arrangement, and each measuring point group includes multiple measuring points.
- the above embodiment can more accurately obtain the location of the loosened core screw when the stator core becomes loose, thereby effectively taking corresponding preventive measures, finding the source of the abnormality more quickly, and improving equipment maintenance. s efficiency.
- the following steps are also included:
- S70 Determine the area where the abnormal core screw is located based on t1 and t2.
- the specific determination method of S70 includes the following steps:
- the distance ratio between the abnormal core screw and the suspected measuring point and the adjacent measuring point of the suspected measuring point is t2/t1 ⁇ c%, where c% is the correction value.
- the measuring point adjacent to the suspected measuring point is the second measuring point.
- the percentage of the axial force change of the threaded screw at the suspected measuring point is obtained. is t1
- the percentage change of the axial force of the threaded screw at the second measuring point is obtained as t2.
- t2/t1 ⁇ c% is the distance between the abnormal threaded screw and the suspected measuring point, and the abnormality The ratio of the distance between the threaded screw and the second measuring point.
- the suspected measuring point and the second measuring point are connected to form a line segment.
- the abnormal core screw is located at the first quarter point passing through the line segment and close to the suspected measuring point and perpendicular to the line segment. Online, or nearby.
- c% is the correction value.
- the specific value of c% is not necessarily the same during different periods of generator unit operation.
- the distance ratio of the suspected measuring point and the adjacent measuring points of each suspected measuring point is obtained respectively, and finally through multiple A set of data is used to obtain a more accurate area where the abnormal core screw is located.
- the following steps are also included:
- the area where the theoretical abnormal threaded screw is located is obtained through the above embodiment, but there is actually no threaded screw in this area. This may be due to the commonality of the suspected measuring point and the adjacent measuring points of the suspected measuring point. There are multiple anomalies in the penetration screws in the monitoring area. Send the judgment result to the system and proceed to the next step of judgment. Among them, because of the existence of the correction value c%, the location of the area where the theoretical abnormal threading screw is located and the location of the threading screw near this area can be corrected. Then during the same period, after correction, the location of the theoretical abnormal threading screw still appears.
- the distance between the actual piercing screw and the theoretical abnormal piercing screw range is ⁇ L
- a value L is continued to be preset for position correction, and the range of L can be relatively expanded to obtain the positions of multiple actual core screws, and these core screws are sent to the system as suspected abnormal values. , to avoid omissions and make equipment maintenance more accurate.
- arranging several measuring points along the threaded screw specifically includes the following steps:
- stator core compression state fault detection method further includes the following steps:
- Set up two or more groups of measuring points select a group of measuring points with the farthest distance between adjacent measuring points as the normal detection group; when an abnormality is detected at one measuring point in the normal detection group, and it is determined that the abnormal threaded screw is located in the suspected
- the relatively normal detection group is enabled, and other groups of measuring points that are closer to the adjacent measuring points are detected to achieve more accurate position determination and can Achieve secondary verification of abnormal through-core screws and obtain more accurate information; among them, one or more measuring points in the other groups of enabled measuring points are located in the common monitoring area of the suspected measuring point and the adjacent measuring points of the suspected measuring point.
- the normal detection group detects that there is abnormal through-hole screw information in the common monitoring area of the suspected measuring point and the suspected measuring point's adjacent measuring points, but when the second group of measuring points is used, no abnormal through-through screw information is detected. , then it is suspected that the normal group measuring points themselves have detection abnormalities.
- there may be abnormalities in the measuring point itself which cannot accurately reflect the specific detection situation of the axial force of the threaded screw at the location of the measuring point. Therefore, it is necessary to consider whether there is a problem with the sensor that detects the axial force of the threaded screw. .
- the other enabled groups of measuring points include two or more measuring points located in the common monitoring area of the suspected measuring point and the adjacent measuring points of the suspected measuring point in the normal detection group.
- the normal detection group detects that an abnormal through-hole screw is located in the common monitoring area of the suspected measuring point and the suspected measuring point's adjacent measuring points
- the second group of measuring points is activated and the same detection method as that of the normal detection group is used. Conduct the test again to obtain more accurate location information of the abnormal threaded screw, and assist in verifying that the measuring points of the normal test group are abnormal.
- the initial position screw is set to adjust different looseness levels to obtain multiple sets of measuring points, there is no more than one measuring point on a threaded screw. This setting can better detect the looseness of the stator core. situation to achieve more comprehensive monitoring performance.
- the initial position screw preload force is changed by adjusting to different looseness levels.
- the looseness levels include: the first level, [85%, 100%] of the load of the threaded screw 10; the second level, the threaded screw 10 load.
- the core screw has a load of 10 [70%, 85%]; the third grade, the core screw has a load of 10 [60%, 70%]; the fourth grade, the core screw has a load of 10 [10%, 60%]; Level five, [0, 10%] of the through-core screw 10 load.
- the preload force of the screw in the initial position is selectively adjusted to ensure the debugging efficiency of the preload force.
- the number of groups of measuring points can be selectively set according to the different testing needs of the generator set.
- the testing needs are relatively low, a smaller number of groups of measuring points can be used, or at least only one group can be used;
- the detection demand is relatively high, several more sets of measuring points can be set according to the actual situation.
- This embodiment also provides a stator core compression state fault detection device, including: a judgment module configured to perform the following operations: taking the measuring points with abnormal information in the measuring point group as suspected measuring points, and judging the phase of the suspected measuring points. Whether there is abnormal information in the condition of adjacent measuring points; if there is no abnormal information in the adjacent measuring points of the suspected measuring point, it is determined that the threaded screw at the suspected measuring point is abnormal; if there is abnormal information in the adjacent measuring points of the suspected measuring point, it is determined that the suspected measuring point is abnormal. The penetration screw in the common monitoring area of the adjacent measuring point and the suspected measuring point is abnormal.
- this embodiment also provides a generator set monitoring system, including a memory and a processor.
- the memory stores a computer program.
- the stator core compression state fault detection in any of the above embodiments is implemented. method.
- the generator set monitoring system can be applied to hydroelectric generator sets.
- this embodiment also provides a computer-readable storage medium on which a computer program is stored, and the computer program is loaded by the processor to perform the stator core compression state fault detection described in any one of the above embodiments. method.
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Abstract
本申请提供定子铁心压紧状态故障检测方法、装置、发电机组监测系统及计算机可读存储介质，包括以存在异常信息的测点为疑似测点，判断相邻测点是否存在异常；如无异常，判定疑似测点处的穿心螺杆异常；如异常，判定疑似测点与相邻测点的共同监测区内的穿心螺杆异常。本申请所述检测方法能定位异常穿心螺杆，提高检修效率。
Description
相关申请的交叉引用
本申请要求于2022年3月31日在中国专利局提交的、申请号为202210343387.5、申请名称为“定子铁心压紧状态故障检测装置、检测方法、发电机组监测系统及计算机可读存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
本申请涉及发电机运行在线监测技术领域，尤其涉及一种定子铁心压紧状态故障检测方法、装置、发电机组监测系统及计算机可读存储介质。
发电机运行时，定子铁心会受到机械力、热应力及电磁力的综合作用。发电机长期运行会使得定子铁心压紧力在多种因素共同作用下逐渐减小。如果定子铁心的压紧力减小情况得不到及时的监测和有效的预警和控制，将引起定子铁心松动，并导致发电机组振动并产生噪声，甚至造成冲片断齿、烧损及线棒破压等事故，致使机组非正常停机，产生巨大经济损失。
现阶段，发电机定子铁心的压紧状态监测及检修方法，主要方式有两种：
1、依靠电厂的周期检修，人工排除定子铁心松动的隐患；
2、采用压力传感器，通过获取定子铁心片间压力对定子铁心压紧状态进行检测。
依靠电厂周期检修的监测方式，一方面，没有针对性，工作效率低；另一方面，无法实时掌握定子铁心压紧状态并对异常情况进行预警。
采用压力传感器的监测方式，一方面，受限于安装空间狭小，使安装不便；另一方面，该监测方式需要监测片相互贴合并以铁心轴线为中心形成环形检测组，还需要沿定子铁心轴向布置多层，监测结构复杂。此外，由于定子铁心松动通常最先出现在定子铁心边段齿部，该种监测方式也有针对性不强的问题。
为改善现有技术的缺陷，本申请主要目的在于提供一种定子铁心压紧状态故障检测方法、装置、发电机组监测系统及计算机可读存储介质，用以获取到存在异常的穿心螺杆更加准确的定位信息，进而提高后期的检修效率。
为实现上述目的，本申请提供一种定子铁心压紧状态故障检测方法，包括：
以测点组中存在异常信息的测点为疑似测点，判断所述疑似测点的相邻测点状况是否存在异常信息；
如所述疑似测点的相邻测点无异常信息，则判定所述疑似测点处的穿心螺杆异常；
如所述疑似测点的相邻测点存在异常信息，则判定所述疑似测点与所述疑似测点相邻测点的共同监测区内的穿心螺杆异常；
其中，所述测点组包括分别设置于不同穿心螺杆处的多个测点，每个测点被配置为测量若干穿心螺杆的轴向力，相邻测点之间的距离为不相关的最近距离。
可选的，在本申请的一些实施例中，所述疑似测点为任一存在异常信息的测点或者多个存在异常信息的测点。
可选的，在本申请的一些实施例中，所述疑似测点的相邻测点为在多个方向上距离所述疑似测点最近的一个或多个测点。
可选的，在本申请的一些实施例中，如所述疑似测点的相邻测点存在异常信息，当所述疑似测点的相邻测点为一个时，则判定所述疑似测点与所述疑似测点相邻测点的共同监测区内的穿心螺杆异常；当所述疑似测点的相邻测点为多个时，则判定所述疑似测点和所述疑似测点的多个出现异常的所述相邻测点的共同监测区内的穿心螺杆异常。
可选的，在本申请的一些实施例中，在判定所述疑似测点与所述疑似测点相邻测点的共同监测区内的所述穿心螺杆异常之后，还包括以下步骤：
获取所述疑似测点处的所述穿心螺杆的轴向力改变量的百分比t1；
获取所述疑似测点相邻测点处的所述穿心螺杆的轴向力改变量的百分比t2；
根据t1和t2确定异常穿心螺杆所在的区域。
可选的，在本申请的一些实施例中，所述根据t1和t2确定异常穿心螺杆所在的区域包括：
异常穿心螺杆距离所述疑似测点和所述疑似测点相邻测点的距离比值为t2/t1·c%，其中c%为修正值。
可选的，在本申请的一些实施例中，当所述疑似测点的相邻测点为多个时，获取所述疑似测点处的所述穿心螺杆的轴向力改变量的百分比t1；
分别获取每一所述疑似测点相邻测点处的所述穿心螺杆的轴向力改变量的百分比t2
0、t2
1、t2
2···t2
n-1、t2
n,其中，n为≥1的整数；
根据t1和t2
0、t2
1、t2
2···t2
n-1、t2
n确定异常穿心螺杆所在的区域。
可选的，在本申请的一些实施例中，所述根据t2
0、t2
1、t2
2···t2
n-1、t2
n确定异常穿心螺杆所在的区域包括：
异常穿心螺杆距离所述疑似测点和每一所述疑似测点相邻测点的距离比值为t2
0/t1·c
0%、t2
1/t1·c
1% t2
2/t1·c
2%···t2
n-1/t1·c
n-1%、t2
n/t1·c
n%，其中c
0%、c
1%、c
2%···c
n-1%、c
n%为修正值。
可选的，在本申请的一些实施例中，还包括以下步骤：
将异常穿心螺杆所在的区域定义为理论异常穿心螺杆所在的区域；
判定所述理论异常穿心螺杆所在的区域内是否实际存在所述穿心螺杆；
当所述理论异常穿心螺杆所在的区域内的实际所述穿心螺杆数量为0时，则判定所述疑似测点和所述疑似测点相邻测点的共同监测区内存在两个或多个异常穿心螺杆。
可选的，在本申请的一些实施例中，当实际所述穿心螺杆距离所述理论异常穿心螺杆范围的距离≤L时，仍判定实际所述穿心螺杆位于所述理论异常穿心螺杆所在的区域。
可选的，在本申请的一些实施例中，还包括以下步骤：
选取两个或多个测点组中相邻测点距离最远的一组测点为正常检测组；
当所述正常检测组检测到所述疑似测点异常信息，并且判定存在异常的所述穿心螺杆位于所述疑似测点与所述疑似测点相邻测点的共同监测区内时，则启用相对所述正常检测组，相邻测点距离较近的其他组测点；其中，启用的其他组测点中一个或多个测点位于所述疑似测点与所述疑似测点相邻测点的共同监测区内。
可选的，在本申请的一些实施例中，不同位置的所述穿心螺杆最多对应设有一个测点。
可选的，在本申请的一些实施例中，初始位螺杆具有不同的松动等级，调节所述不同的松动等级以进行预紧力的调节。
可选的，在本申请的一些实施例中，所述松动等级包括第一等级、第二等级、第三等级、第四等级和第五等级；
所述第一等级为所述穿心螺杆载荷的[85%，100%]；
所述第二等级为所述穿心螺杆载荷的[70%，85%)；
所述第三等级为所述穿心螺杆载荷的[60%，70%)；
所述第四等级为所述穿心螺杆载荷的[10%，60%)；
所述第五等级为所述穿心螺杆载荷的[0，10%)。
相应的，本申请还提供一种定子铁心压紧状态故障检测装置，包括：
判断模块，被配置为执行以下操作：
以测点组中存在异常信息的测点为疑似测点，判断所述疑似测点的相邻测点状况是否存在异常信息；
如所述疑似测点的相邻测点无异常信息，则判定所述疑似测点处的所述穿心螺杆异常；
如所述疑似测点相邻测点存在异常信息，则判定所述疑似测点与所述疑似测点相邻测点的共同监测区内的所述穿心螺杆异常。
可选的，在本申请的一些实施例中，所述判断模块在判定所述疑似测点与所述疑似测点相邻测点的共同监测区内的所述穿心螺杆异常之后，还包括执行以下操作：
获取所述疑似测点处的所述穿心螺杆的轴向力改变量的百分比t1；
获取所述疑似测点相邻测点处的所述穿心螺杆的轴向力改变量的百分比t2；
根据t1和t2确定异常穿心螺杆所在的区域。
可选的，在本申请的一些实施例中，所述判断模块还包括执行以下步骤：
将异常穿心螺杆所在的区域定义为理论异常穿心螺杆所在的区域；
判定所述理论异常穿心螺杆所在的区域内是否实际存在所述穿心螺杆；
当所述理论异常穿心螺杆所在的区域内的实际所述穿心螺杆数量为0时，则判定所述疑似测点和所述疑似测点相邻测点的共同监测区内存在两个或多个异常穿心螺杆。
可选的，在本申请的一些实施例中，所述判断模块还包括执行以下操作：
选取至少两个测点组中相邻测点距离最远的一组测点为正常检测组；
当所述正常检测组检测到所述疑似测点异常信息，并且判定存在异常的所述穿心螺杆位于所述疑似测点与所述疑似测点相邻测点的共同监测区内时，则启用相对所述正常检测组，相邻测点距离较近的其他组测点；其中，启用的其他组测点中至少一个测点位于所述疑似测点与所述疑似测点相邻测点的共同监测区内。
相应的，本申请还提供一种发电机组监测系统，包括数据采集模块、存储器和处理器，所述存储器存储有计算机程序，所述计算机程序被所述处理器执行时实现上述定子铁心压紧状态故障检测方法。
相应的，本申请还提供一种计算机可读存储介质，其上存储有计算机程序，所述计算机程序被处理器进行加载，以执行上述定子铁心压紧状态故障检测方法。
本申请提供的定子铁心压紧状态故障检测方法，通过对存在异常的穿心螺杆位置的进一步寻找，能够进一步将出现异常的穿心螺杆进行定位，获取到更加精准的信息，同时，又能够对监测组件进行辅助验证，避免因监测组件本身出现异常，造成监测信息的不准确。
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图
图1是本申请一些实施例提供的定子铁心压紧状态故障检测方法的流程图；
图2是本申请一些实施例提供的定子铁心压紧状态故障检测方法的局部流程图。
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
本申请一实施例提供一种定子铁心压紧状态故障检测方法，如图1和图2所示，包括以下步骤：
S10：获取疑似测点；
S20：判断疑似测点的相邻测点状况是否存在异常信息；
S30：如疑似测点的相邻测点无异常信息，则判定疑似测点处的穿心螺杆异常；
S40：如疑似测点的相邻测点存在异常信息，则判定疑似测点与疑似测点相邻测点的共同监测区内的穿心螺杆异常；
其中，测点组包括分别设置于不同穿心螺杆处的多个测点，每个测点被配置为测量若干穿心螺杆的轴向力，相邻测点之间的距离为不相关的最近距离。
在上述实施例中，S10中，疑似测点可以是布置的所有测点中的任一存在异常信息的测点或者多个存在异常信息的测点。监测系统对测点组中多个测点同时进行监测，用以实现对整个定子铁心压紧状态的监测。
S20中，疑似测点的相邻测点是指沿定子铁心表面，在多个方向上距离疑似测点最近的一个或多个测点。
S30中，疑似测点的相邻测点无异常信息，则说明发生异常的穿心螺杆不存在于疑似测点的相邻测点的监测区内，进而得到判定结果为疑似测点处的穿心螺杆出现异常。
S40中，疑似测点的相邻测点存在异常信息，此时需要对疑似测点相邻测点的数量为一个或多个的情况分别进行说明。当疑似测点的相邻测点数量为一个时，则能够判定存在异常的穿心螺杆位于疑似测点和疑似测点相邻测点的共同监测区内。当疑似测点的相邻测点的数量为多个，且存在多个测点出现异常时，则能够判定存在异常的穿心螺杆位于疑似测点和疑似测点的多个出现异常的相邻测点的共同监测区内。其中，测点组包括获取若干穿心螺杆的轴向力的测点。一根穿心螺杆的轴向力检测位点为一个测点。测点处设有轴向力检测组件，用以获取对应穿心螺杆的轴向力。测点组包括多个测点。在布置时，测点组中的任意两个相邻测点不相关。测点不相关是指其中一个测点对应的穿心螺杆发生松动时，相邻测点所对应的穿心螺杆的轴向力不会发生改变。定子铁心上的每个测点能够监测以该测点为圆心，直径为一定距离形成的圆形范围内的所有定子铁心的松动情况。相邻测点之间的距离为不相关的最近距离，假定其中一根穿心螺杆与测点距离小于不相关的最近距离时，该穿心螺杆与测点处的穿心螺杆相关，该穿心螺杆发生松动，与该穿心螺杆的距离小于不相关的最近距离的测点的穿心螺杆也会受到影响，然后被轴向力检测组件检测出来。测点组的布置方式如上所述，在不同的示例中，可根据该布置方式设置多个测点组，每个测点组包括多个测点。
上述实施例能够在定子铁心发生松动时，更加精确地获取到发生松动的穿心螺杆所在的位置区域，进而能够有效得做出相应的预防措施，并且能够更快找到异常的来源，提高设备检修的效率。
在其中一些实施例中，在判定疑似测点与疑似测点相邻测点的共同监测区内的穿心螺杆异常之后，还包括以下步骤：
S50：获取疑似测点处的穿心螺杆的轴向力改变量的百分比，定义为t1；
S60：获取疑似测点相邻测点处的穿心螺杆的轴向力改变量的百分比，定义为t2；
S70：根据t1和t2确定异常穿心螺杆所在的区域。
在其中一些实施例中，S70的具体确定方法包括以下步骤：
在稳定工况下，异常穿心螺杆距离疑似测点和疑似测点相邻测点的距离比值为t2/t1·c%，其中c%为修正值。
在不稳定工况下，异常穿心螺杆距离疑似测点和疑似测点相邻测点的距离比值可能会存在非线性的一一对应关系，通过预先实验得到该对应关系，并根据该对应关系建立相关模型，在相应不稳定的工况下时，根据获取的t1和t2值，选定对应的修正值，得到异常穿心螺杆距离疑似测点和疑似测点相邻测点的距离比值。
当出现异常信息的疑似测点相邻测点为一个时，定义上述疑似测点相邻测点为第二测点，此时获取疑似测点处的穿心螺杆的轴向力改变量的百分比为t1，并获取第二测点处的穿心螺杆的轴向力改变量的百分比为t2，此时t2/t1·c%为存在异常的穿心螺杆与疑似测点的距离，和存在异常的穿心螺杆与第二测点的距离的比值。假定t1为30%，t2为10%，则此时，存在异常的穿心螺杆与疑似测点的距离，和存在异常的穿心螺杆与第二测点的距离的比值为10%/30%=1:3，此时，以疑似测点和第二测点连接成一条线段，存在异常的穿心螺杆位于经过该线段靠近疑似测点的第一个四等分点且与该线段垂直的线上，或者附近。c%为修正值，在实际测量中，根据发电机组不同的工况和使用情况，具体测量得到的结果会存在一定的偏差，比如存在异常的穿心螺杆与理论测点的值存在一定的偏差，通过引入该修正值进行修正，得到更加准确的结果；需要注意的是，在发电机组运行不同时期，c%的具体值不一定相同。
在另外一些示例中，当出现异常信息的疑似测点相邻测点数量为两个或两个以上时，分别获取疑似测点和每一个疑似测点相邻测点的距离比值，最终通过多组数据，得到更加精确的存在异常的穿心螺杆的所在区域。
在其中一些实施例中，得到异常穿心螺杆距离疑似测点和疑似测点相邻测点的距离比值后，还包括以下步骤：
S80：根据异常穿心螺杆与疑似测点和疑似测点相邻测点的距离比值，得到一个理论异常穿心螺杆所在的区域；
S90：判定理论异常穿心螺杆所在的区域内是否实际存在穿心螺杆；
S100：当理论异常穿心螺杆所在的区域内的实际穿心螺杆数量为0时，则判定疑似测点和疑似测点相邻测点的共同监测区存在两个或多个异常穿心螺杆。
在上述实施例中，通过上述实施例得到理论异常穿心螺杆所在的区域，而在该区域内实际上不存在穿心螺杆，则可能是因为疑似测点和疑似测点相邻测点的共同监测区内出现多个穿心螺杆异常的情况。将该判定结果发送至系统，继续进行下一步的判定。其中，因为有修正值c%的存在，能够对理论异常穿心螺杆所在的区域与该区域附近的穿心螺杆进行位置的修正，那么在同一时期，通过修正后仍出现理论异常穿心螺杆所在的区域内不存在穿心螺杆，也可得到在疑似测点和疑似测点相邻测点的共同监测区内出现多个穿心螺杆异常。在另外一些示例中，为保证安全性，判定在疑似测点和疑似测点相邻测点的共同监测区内出现多个穿心螺杆异常的情况时，修正值可采用c%=1，进行检测，以避免采用的修正值未更新，出现漏检的情况。
在其中一些实施例中，当实际穿心螺杆距离理论异常穿心螺杆范围的距离≤L时，仍判定实际穿心螺杆位于理论异常穿心螺杆所在的区域。在该实施例中，继续预设一个值L进行位置修正，并且可以将L的范围相对扩大，得到多个实际的穿心螺杆的位置，并将这些穿心螺杆均作为疑似异常数值发送至系统，以避免遗漏的情况，使得设备的检修能够更加精确。
在其中一些实施例中，沿穿心螺杆布置若干个测点具体包括以下步骤：
设置一组测点，并用以进行上述实施例中任一项实施例的步骤。
在另外一些实施例中，定子铁心压紧状态故障检测方法还包括以下步骤：
设置两组或多组测点；选取相邻测点距离最远的一组测点作为正常检测组；当正常检测组中一个测点检测到异常时，并且判定存在异常的穿心螺杆位于疑似测点与疑似测点相邻测点的共同监测区内时，则启用相对正常检测组，相邻测点距离较近的其他组测点进行检测，用以实现更加精确的位置判定，并且能够实现异常穿心螺杆的二次验证，得到更加精确的信息；其中，启用的其他组测点中一个或多个测点位于疑似测点与疑似测点相邻测点的共同监测区内。
其中，当正常检测组检测到疑似测点与疑似测点相邻测点的共同监测区内存在异常穿心螺杆信息时，而在采用第二组测点未检测到存在异常穿心螺杆信息时，则此时得到疑似正常组测点本身存在检测异常。在设备运行过程中，会存在测点本身发生异常，不能够准确的反映测点位置的穿心螺杆轴向力的具体检测情况，因此需要考虑检测穿心螺杆的轴向力的传感器是否存在问题。
在其中一些实施例中，启用的其他组测点包括两个或多个测点位于正常检测组中的疑似测点与疑似测点相邻测点的共同监测区内。在正常检测组检测到存在异常穿心螺杆位于疑似测点和疑似测点相邻测点的共同监测区内时，启用第二组测点，并采用与正常检测组相同的检测方法，用以再次进行检测，进而得到更加准确的异常穿心螺杆所在的位置信息，并辅助验证正常检测组的测点本身出现异常。
在其中一些实施例中，不同位置的穿心螺杆最多对应设有一个测点。在该实施例中，在设置初始位螺杆调节不同的松动等级，得到多组测点时，不存在一个穿心螺杆上设有一个以上的测点，这样设置能够更好的检测定子铁心的松动情况，实现更加全面的监测性能。
在其中一些实施例中，初始位螺杆预紧力改变通过调整至不同的松动等级实现，松动等级包括：第一等级，穿心螺杆10载荷的[85%，100%]；第二等级，穿心螺杆10载荷的[70%，85%)；第三等级，穿心螺杆10载荷的[60%，70%)；第四等级，穿心螺杆10载荷的[10%，60%)；第五等级，穿心螺杆10载荷的[0，10%)。根据不同的松动等级，选择性对初始位螺杆进行预紧力的调节，以保证预紧力的调试效率。在实际的使用情况下，可根据发电机组不同的检测需求，选择性设置测点的组数，在检测需求相对较低时，可采用较少的测点组数，最少可仅使用一组；在检测需求相对较高时，可根据实际情况多设置几组测点。
本实施例还提供一种定子铁心压紧状态故障检测装置，包括：判断模块，被配置为执行以下操作：以测点组中存在异常信息的测点为疑似测点，判断疑似测点的相邻测点状况是否存在异常信息；如疑似测点的相邻测点无异常信息，则判定疑似测点处的穿心螺杆异常；如疑似测点相邻测点存在异常信息，则判定疑似测点与疑似测点相邻测点的共同监测区内的穿心螺杆异常。
相应的，本实施例还提供一种发电机组监测系统，包括存储器和处理器，存储器存储有计算机程序，计算机程序被处理器执行时实现上述实施例中任一项的定子铁心压紧状态故障检测方法。
在其中一些实施例中，该发电机组监测系统可以应用于水轮发电机组。
相应的，本实施例还提供一种计算机可读存储介质，其上存储有计算机程序，计算机程序被处理器进行加载，以执行上述实施例中任一项所述的定子铁心压紧状态故障检测方法。
以上对本申请实施例所提供的一种定子铁心压紧状态故障检测方法、装置、发电机组监测系统及计算机可读存储介质进行了详细介绍，本文中应用了具体个例对本申请的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本申请的技术方案及其核心思想；本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例的技术方案的范围。
Claims (20)
- 一种定子铁心压紧状态故障检测方法，其中，包括：以测点组中存在异常信息的测点为疑似测点，判断所述疑似测点的相邻测点状况是否存在异常信息；如所述疑似测点的相邻测点无异常信息，则判定所述疑似测点处的穿心螺杆异常；如所述疑似测点的相邻测点存在异常信息，则判定所述疑似测点与所述疑似测点相邻测点的共同监测区内的穿心螺杆异常；其中，所述测点组包括分别设置于不同穿心螺杆处的多个测点，每个测点被配置为测量若干穿心螺杆的轴向力，相邻测点之间的距离为不相关的最近距离。
- 根据权利要求1所述的定子铁心压紧状态故障检测方法，其中，所述疑似测点为任一存在异常信息的测点或者多个存在异常信息的测点。
- 根据权利要求1所述的定子铁心压紧状态故障检测方法，其中，所述疑似测点的相邻测点为在多个方向上距离所述疑似测点最近的一个或多个测点。
- 根据权利要求3所述的定子铁心压紧状态故障检测方法，其中，如所述疑似测点的相邻测点存在异常信息，当所述疑似测点的相邻测点为一个时，则判定所述疑似测点与所述疑似测点相邻测点的共同监测区内的穿心螺杆异常；当所述疑似测点的相邻测点为多个时，则判定所述疑似测点和所述疑似测点的多个出现异常的所述相邻测点的共同监测区内的穿心螺杆异常。
- 根据权利要求1所述的定子铁心压紧状态故障检测方法，其中，在判定所述疑似测点与所述疑似测点相邻测点的共同监测区内的所述穿心螺杆异常之后，还包括以下步骤：获取所述疑似测点处的所述穿心螺杆的轴向力改变量的百分比t1；获取所述疑似测点相邻测点处的所述穿心螺杆的轴向力改变量的百分比t2；根据t1和t2确定异常穿心螺杆所在的区域。
- 根据权利要求5所述的定子铁心压紧状态故障检测方法，其中，所述根据t1和t2确定异常穿心螺杆所在的区域包括：异常穿心螺杆距离所述疑似测点和所述疑似测点相邻测点的距离比值为t2/t1·c%，其中c%为修正值。
- 根据权利要求5所述的定子铁心压紧状态故障检测方法，其中，当所述疑似测点的相邻测点为多个时，获取所述疑似测点处的所述穿心螺杆的轴向力改变量的百分比t1；分别获取每一所述疑似测点相邻测点处的所述穿心螺杆的轴向力改变量的百分比t2 0、t2 1、t2 2···t2 n-1、t2 n,其中，n为≥1的整数；根据t1和t2 0、t2 1、t2 2···t2 n-1、t2 n确定异常穿心螺杆所在的区域。
- 根据权利要求7所述的定子铁心压紧状态故障检测方法，其中，所述根据t2 0、t2 1、t2 2···t2 n-1、t2 n确定异常穿心螺杆所在的区域包括：异常穿心螺杆距离所述疑似测点和每一所述疑似测点相邻测点的距离比值为t2 0/t1·c 0%、t2 1/t1·c 1% t2 2/t1·c 2%···t2 n-1/t1·c n-1%、t2 n/t1·c n%，其中c 0%、c 1%、c 2%···c n-1%、c n%为修正值。
- 根据权利要求5所述的定子铁心压紧状态故障检测方法，其中，还包括以下步骤：将异常穿心螺杆所在的区域定义为理论异常穿心螺杆所在的区域；判定所述理论异常穿心螺杆所在的区域内是否实际存在所述穿心螺杆；当所述理论异常穿心螺杆所在的区域内的实际所述穿心螺杆数量为0时，则判定所述疑似测点和所述疑似测点相邻测点的共同监测区内存在两个或多个异常穿心螺杆。
- 根据权利要求9所述的定子铁心压紧状态故障检测方法，其中，当实际所述穿心螺杆距离所述理论异常穿心螺杆范围的距离≤L时，仍判定实际所述穿心螺杆位于所述理论异常穿心螺杆所在的区域。
- 根据权利要求1所述的定子铁心压紧状态故障检测方法，其中，还包括以下步骤：选取两个或多个测点组中相邻测点距离最远的一组测点为正常检测组；当所述正常检测组检测到所述疑似测点异常信息，并且判定存在异常的所述穿心螺杆位于所述疑似测点与所述疑似测点相邻测点的共同监测区内时，则启用相对所述正常检测组，相邻测点距离较近的其他组测点；其中，启用的其他组测点中一个或多个测点位于所述疑似测点与所述疑似测点相邻测点的共同监测区内。
- 根据权利要求11所述的定子铁心压紧状态故障检测方法，其中，不同位置的所述穿心螺杆最多对应设有一个测点。
- 根据权利要求1所述的定子铁心压紧状态故障检测方法，其中，初始位螺杆具有不同的松动等级，调节所述不同的松动等级以进行预紧力的调节。
- 根据权利要求1所述的定子铁心压紧状态故障检测方法，其中，所述松动等级包括第一等级、第二等级、第三等级、第四等级和第五等级；所述第一等级为所述穿心螺杆载荷的[85%，100%]；所述第二等级为所述穿心螺杆载荷的[70%，85%)；所述第三等级为所述穿心螺杆载荷的[60%，70%)；所述第四等级为所述穿心螺杆载荷的[10%，60%)；所述第五等级为所述穿心螺杆载荷的[0，10%)。
- 一种定子铁心压紧状态故障检测装置，其中，包括：判断模块，被配置为执行以下操作：以测点组中存在异常信息的测点为疑似测点，判断所述疑似测点的相邻测点状况是否存在异常信息；如所述疑似测点的相邻测点无异常信息，则判定所述疑似测点处的所述穿心螺杆异常；如所述疑似测点相邻测点存在异常信息，则判定所述疑似测点与所述疑似测点相邻测点的共同监测区内的所述穿心螺杆异常。
- 根据权利要求15所述的定子铁心压紧状态故障检测装置，其中，所述判断模块在判定所述疑似测点与所述疑似测点相邻测点的共同监测区内的所述穿心螺杆异常之后，还包括执行以下操作：获取所述疑似测点处的所述穿心螺杆的轴向力改变量的百分比t1；获取所述疑似测点相邻测点处的所述穿心螺杆的轴向力改变量的百分比t2；根据t1和t2确定异常穿心螺杆所在的区域。
- 根据权利要求16所述的定子铁心压紧状态故障检测装置，其中，所述判断模块还包括执行以下步骤：将异常穿心螺杆所在的区域定义为理论异常穿心螺杆所在的区域；判定所述理论异常穿心螺杆所在的区域内是否实际存在所述穿心螺杆；当所述理论异常穿心螺杆所在的区域内的实际所述穿心螺杆数量为0时，则判定所述疑似测点和所述疑似测点相邻测点的共同监测区内存在两个或多个异常穿心螺杆。
- 根据权利要求17所述的定子铁心压紧状态故障检测装置，其中，所述判断模块还包括执行以下操作：选取至少两个测点组中相邻测点距离最远的一组测点为正常检测组；当所述正常检测组检测到所述疑似测点异常信息，并且判定存在异常的所述穿心螺杆位于所述疑似测点与所述疑似测点相邻测点的共同监测区内时，则启用相对所述正常检测组，相邻测点距离较近的其他组测点；其中，启用的其他组测点中至少一个测点位于所述疑似测点与所述疑似测点相邻测点的共同监测区内。
- 一种发电机组监测系统，其中，包括数据采集模块、存储器和处理器，所述存储器存储有计算机程序，所述计算机程序被所述处理器执行时实现如权利要求1所述的定子铁心压紧状态故障检测方法。
- 一种计算机可读存储介质，其中，其上存储有计算机程序，所述计算机程序被处理器进行加载，以执行权利要求1所述的定子铁心压紧状态故障检测方法。
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