CN216926044U

CN216926044U - High-low rotating speed integrated blade prediction maintenance device

Info

Publication number: CN216926044U
Application number: CN202123232683.8U
Authority: CN
Inventors: 王成城; 王凯; 王春喜; 宫文涛
Original assignee: Instrumentation Technology And Economy Institute P R China
Current assignee: Instrumentation Technology And Economy Institute P R China
Priority date: 2021-12-21
Filing date: 2021-12-21
Publication date: 2022-07-08
Anticipated expiration: 2031-12-21

Abstract

The utility model discloses a high and low rotating speed integrated blade prediction maintenance device, which comprises a test experiment table, an industrial personal computer and a display; the industrial personal computer is respectively in signal connection with the test experiment table and the display; the test experiment table comprises a bottom plate, a bearing seat, a blade module, a gear box, a driving motor and a data acquisition unit; the blade module, the gear box and the driving motor are sequentially arranged on the bearing seat from left to right through the main shaft; the blade module can be dismantled and rotate with the gear box and be connected, and the blade module includes high rotational speed blade and low rotational speed blade two kinds. The utility model can realize the replacement of the high and low rotating speed blades and collect the operation data; by adopting the device, two experiment tables with different heights are not required to be respectively built; and collecting operation data, realizing prediction through the established fault diagnosis model and the service life prediction model, and maintaining according to the prediction result.

Description

High-low rotating speed integrated blade prediction maintenance device

Technical Field

The utility model relates to the technical field of blade monitoring, in particular to a high-low rotating speed integrated blade prediction maintenance device.

Background

The blade has a wide application range, and more or less has applications in various fields, and especially in the aerospace field and the wind power generation field, the blade is a vital device, so that the necessary predictive maintenance of the blades of the two is an urgent need in the current market for ensuring the safe and economic operation of the blade.

Blades used in the aerospace field are mainly high rotational speed blades, such as: turbine blades for aircraft, etc., which are important components of the turbine section in gas turbine engines. The blades rotating at high speed are responsible for drawing high-temperature and high-pressure airflow into the combustor to maintain the operation of the engine. However, in both steam and gas turbine engines, strong vibrations or resonances can cause metal fatigue, which can lead to failure of the aircraft engine. Once the engine of the airplane breaks down, not only is a large amount of resources such as manpower and financial resources lost, but also the life safety of the masses of people is directly threatened.

The low-rotation-speed blade is mainly used in the field of wind power generation, and the blade is used as one of key parts of a wind turbine generator, and the manufacturing cost of the blade accounts for about 15% -20% of the manufacturing cost of the whole machine. The wind turbine generator blade is influenced by weather and time, and the blade can be corroded gradually or the service life is too long to cause material fatigue, so that the blade is damaged and damaged, if the blade cannot be found in advance to be damaged, the whole wind turbine generator and even the whole wind power plant can be damaged, huge resource loss is caused, and serious influence is caused on the life of local residents.

In view of the two typical situations, we must therefore perform predictive maintenance on both high and low rotational speeds of the blade, to kill the possibility of damage to the blade in the cradle.

At present, a plurality of predictive maintenance platforms for monitoring high-speed blades or low-speed blades exist, but the existing blade monitoring platforms are almost designed and built only for the high-speed blades or the low-speed blades, and the platform has the following problems:

1. the function is single. Because the high-rotation-speed blade is smaller than the low-rotation-speed blade in size, and the two requirements on rotation speed are different greatly, the monitoring on the low-rotation-speed blade cannot be realized by a single high-rotation-speed blade monitoring platform, and the monitoring on the high-rotation-speed blade cannot be realized by a single low-rotation-speed blade.

2. The existing monitoring platform focuses on high-rotating-speed blades, and the platform of the low-rotating-speed blade has huge requirements, but the difficulty in designing the predictive maintenance platform of the low-rotating-speed blade is high due to the factors of large volume of the low-rotating-speed blade, high requirement on reduction ratio and the like.

3. At present, a verification platform aiming at a single high-rotation-speed or low-rotation-speed blade is only limited to functions of data acquisition, state monitoring and the like, and a predictive maintenance function is not realized.

Therefore, based on the strong demand of the research on the predictive maintenance technology of the high-rotating-speed and low-rotating-speed blades, the loss of manpower, space and other resources when the blades with two rotating speeds are built is saved, the predictive maintenance functionality is improved, and a set of blade predictive maintenance test bench integrating the high-rotating-speed blades and the low-rotating-speed blades is urgently needed to be developed.

SUMMERY OF THE UTILITY MODEL

The utility model aims to provide a high-low rotation speed integrated blade prediction maintenance device. The utility model can meet the requirement of maintaining the high and low rotating speed blades, predict the service life of the blades, and improve the working performance and the service life of the blades.

The technical scheme of the utility model is as follows: a high and low rotating speed integrated blade prediction maintenance device comprises a test experiment table, an industrial personal computer and a display; the industrial personal computer is respectively in signal connection with the test experiment table and the display; the test experiment table comprises a bottom plate, a bearing seat, a blade module, a gear box, a driving motor and a data acquisition unit; the blade module, the gear box and the driving motor are sequentially connected and vertically arranged on the bearing seat from left to right through the main shaft; the blade module is detachably and rotatably connected with the gear box through a coupler, the blade module comprises a high-rotating-speed blade and a low-rotating-speed blade, and the gear box is a multi-stage gear box meeting different rotating speed ratios; the data acquisition unit is in signal connection with the industrial personal computer; the data acquisition unit can collect the operation data of the test experiment table and transmit the operation data to the industrial personal computer; the bearing block is provided with a blade tip timing sensor and an acceleration sensor.

In the predictive maintenance test bed for the high-low rotating speed integrated blade, the blade tip timing sensor is arranged on the high-rotating speed blade, and the blade tip timing sensor is arranged on the surface of the high-rotating speed blade and is in signal connection with the data collector; the blade tip timing sensor can obtain vibration change data of the high-speed blade in the running state;

the acceleration sensor is arranged on the low-rotating-speed blade, is arranged on the surface of the low-rotating-speed blade and is in signal connection with the data acquisition unit; the acceleration sensor can obtain vibration change data of the low-speed blade in the running state.

In the predictive maintenance test bed for the high and low rotating speed integrated blade, a temperature sensor corresponding to the blade module is arranged on the bearing seat; the temperature sensor is in signal connection with the data acquisition unit, and the temperature sensor can obtain temperature change data of the blade module at work.

Compared with the prior art, the utility model provides the blade predictive maintenance testing device integrating the high-rotating-speed blades and the low-rotating-speed blades, the device can quickly and conveniently realize the replacement of the high-rotating-speed blades and the low-rotating-speed blades, and the data such as rotating speed, vibration, temperature and the like of the blades in the running state are acquired; the device is adopted to test and maintain the high and low rotating speed blades, only the required high rotating speed blades or low rotating speed blades are needed to be customized, and two experiment tables of a high rotating speed test experiment table and a low rotating speed test experiment table are not needed to be respectively built; the device is suitable for collecting the operation data of the high-speed blades and the low-speed blades, the prediction of the operation state and the residual service life of the blades is realized through the established fault diagnosis model and the service life prediction model, the blades are maintained in a targeted mode according to the prediction result, and the service life of the blades is prolonged.

Therefore, the utility model can meet the requirement of maintaining the high and low rotating speed blades, predict the service life of the blades, and improve the working performance and the service life of the blades.

Drawings

FIG. 1 is a schematic diagram of a test bed according to the present invention;

FIG. 2 is a schematic diagram of the structure of the test bed (high speed blade) of the present invention;

FIG. 3 is a schematic diagram of the structure of the test bed (low speed blade) of the present invention; .

The labels in the figures are: 100-test experiment table, 200-industrial personal computer, 300-display, 1-blade module, 11-high-rotation-speed blade, 12-low-rotation-speed blade, 2-gear box, 3-data collector, 4-driving motor, 5-bottom plate, 6-bearing seat, 7-temperature sensor, 8-blade tip timing sensor and 9-main shaft.

Detailed Description

The utility model is further illustrated by the following figures and examples, which are not to be construed as limiting the utility model.

Examples are given. A high and low rotation speed integrated blade prediction maintenance device is shown in figures 1-3 and comprises a test experiment table 100, an industrial personal computer 200 and a display 300; the industrial personal computer 200 is respectively in signal connection with the test experiment table 100 and the display 300; the test experiment table 100 comprises a bottom plate 5, a bearing seat 6, a blade module 1, a gear box 2, a driving motor 4 and a data collector 3; the blade module 1, the gear box 2 and the driving motor 4 are sequentially connected and vertically arranged on the bearing seat 6 from left to right through a main shaft 9; the blade module 1 is detachably and rotatably connected with the gear box 2 through a coupler, the blade module 1 comprises two types of high-rotation-speed blades 11 and low-rotation-speed blades 12, and the gear box 2 is a multi-stage gear box meeting different rotation ratios; the data acquisition unit 3 is in signal connection with the industrial personal computer 200 in a data line connection or wireless connection mode; the data acquisition unit 3 can collect the operation data of the test experiment table and transmit the operation data to the industrial personal computer 200; the bearing seat 6 is provided with a blade tip timing sensor 8 and an acceleration sensor.

The tip timing sensor 8 is arranged on the high-rotating-speed blade 11, and the tip timing sensor 8 is arranged on the blade surface of the high-rotating-speed blade 11 and is in signal connection with the data acquisition unit 3; the blade tip timing sensor 8 can obtain vibration change data of the high-speed blade 11 in the running state;

the acceleration sensor is arranged on the low-rotating-speed blade 12, is arranged on the surface of the low-rotating-speed blade 12 and is in signal connection with the data acquisition unit 3; the acceleration sensor can obtain vibration variation data of the low-speed blades 12 in an operating state.

The bearing seat 6 is provided with a temperature sensor 7 corresponding to the blade module 1; temperature sensor 7 and data collection station 3 signal connection, temperature sensor 7 can obtain the temperature variation data of blade module 1 at the during operation.

The working principle of the utility model is as follows:

firstly, preparing a detachable high-rotating-speed blade 11 and a detachable low-rotating-speed blade 12, combining the device with the high-rotating-speed blade 11 and the low-rotating-speed blade 12 respectively, and then testing the operating conditions of the high-rotating-speed blade 11 and the low-rotating-speed blade 12 respectively to obtain the operating data of the high-rotating-speed blade 11 and the low-rotating-speed blade 12; the operation data is input into the established fault diagnosis model and the established service life prediction model in the industrial personal computer 200, so that the operation conditions of the high-rotation-speed blades 11 and the low-rotation-speed blades 12 can be predicted, and a targeted maintenance scheme can be adopted according to the prediction result.

Claims

1. A high and low rotating speed integrated blade prediction maintenance device is characterized in that: the device comprises a test experiment table (100), an industrial personal computer (200) and a display (300); the industrial personal computer (200) is respectively in signal connection with the test experiment table (100) and the display (300); the test experiment table (100) comprises a bottom plate (5), a bearing seat (6), a blade module (1), a gear box (2), a driving motor (4) and a data acquisition unit (3); the blade module (1), the gear box (2) and the driving motor (4) are sequentially connected from left to right through a main shaft (9) and are vertically arranged on the bearing seat (6); the blade module (1) is detachably and rotatably connected with the gear box (2) through a coupler, the blade module (1) comprises a high-rotating-speed blade (11) and a low-rotating-speed blade (12), and the gear box (2) is a multi-stage gear box meeting different rotating speed ratios; the data acquisition unit (3) is in signal connection with an industrial personal computer (200); the data acquisition unit (3) can collect the operation data of the test experiment table (100) and transmit the operation data to the industrial personal computer (200); and the bearing seat (6) is provided with a blade tip timing sensor (8) and an acceleration sensor.

2. The high and low speed integrated blade predictive maintenance device of claim 1, wherein: the tip timing sensor (8) is arranged on the high-rotating-speed blade (11), and the tip timing sensor (8) is arranged on the blade surface of the high-rotating-speed blade (11) and is in signal connection with the data acquisition unit (3); the blade tip timing sensor (8) can obtain vibration change data of the high-speed blade (11) in the running state;

the acceleration sensor is arranged on the low-rotating-speed blade (12), is arranged on the surface of the low-rotating-speed blade (12) and is in signal connection with the data acquisition unit (3); the acceleration sensor can obtain vibration change data of the low-speed blade (12) in an operating state.

3. The high and low speed integrated blade predictive maintenance device of claim 1, wherein: the bearing seat (6) is provided with a temperature sensor (7) corresponding to the blade module (1); the temperature sensor (7) is in signal connection with the data acquisition unit (3), and the temperature sensor (7) can acquire temperature change data of the blade module (1) during working.