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Steam turbine regulating system jam fault diagnosis method based on strong tracking Kalman filtering

A Kalman filter and regulation system technology, which is applied in engine testing, machine/structural component testing, measuring devices, etc., and can solve problems such as inability to connect to the grid, sudden changes in load, and unstable rotational speed.

Inactive Publication Date: 2012-10-31
ELECTRIC POWER RES INST OF GUANGDONG POWER GRID +1
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AI Technical Summary

Problems solved by technology

[0002] Spool valves, hydraulic cylinders and other structures are widely used in the steam turbine regulating system. Spool valve jamming failures often occur during operation, resulting in insensitive load addition and subtraction operations. When the jamming disappears instantly, a sudden change in load will occur, and the speed will be unstable when the unit is started. It cannot be connected to the grid, and it will cause overspeed when the load is shed, which may cause serious accidents

Method used

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  • Steam turbine regulating system jam fault diagnosis method based on strong tracking Kalman filtering
  • Steam turbine regulating system jam fault diagnosis method based on strong tracking Kalman filtering
  • Steam turbine regulating system jam fault diagnosis method based on strong tracking Kalman filtering

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specific Embodiment approach 1

[0038] Specific implementation mode one: as figure 1 As shown, the specific process of the stuck fault diagnosis method of the steam turbine regulating system based on the strong tracking Kalman filter described in this embodiment is as follows:

[0039] Step 1. Describe the model of the jamming fault of the spool valve oil motor: construct the jamming fault model of the spool valve and oil motor in the steam turbine regulating system as follows:

[0040] When ignoring the mass force, the simplified models of the jamming faults of the slide valve and oil motor are as follows:

[0041] T h dd dt = u - e - d ± C h | u ...

example

[0071] Given the initial state of the system (x=0), the forgetting factor (ρ=0.95), the dynamic noise intensity matrix at the initial moment (Q 1 =0.1*I), the measurement noise matrix at the initial moment (Q 2 =0.1*I). The sampling period is 0.0001s.

[0072] If there is a sudden change in the parameters, it is called a parameter step deviation fault. If a parameter drifts slowly, it is called a parameter-slowly-varying fault.

[0073] 1) Detection and separation of stuck parameter step-type faults

[0074] The input command of a given oil motor is a helical wave signal that changes between [0 1]. The step values ​​of jamming dead zone at the oil motor are 0.1, 0.2, 0.3, 0.4 respectively. The step values ​​of jamming dead zone at the slide valve are 0.02, 0.04, 0.06, 0.08 respectively.

[0075] Experimental results such as Figure 4a-4d Shown:

[0076] It can be seen from the results that the size of the dead zone of the spool valve and the oil motor can be accurately...

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Abstract

The invention provides a steam turbine regulating system jam fault diagnosis method based on strong tracking Kalman filtering, and relates to a steam turbine regulating system jam fault diagnosis method which can give jam fault information in the early stage through on-line diagnosis and detection, so that necessary processing measures an be taken in time to avoid major accidents. The steam turbine regulating system jam fault diagnosis method comprises the following main steps: describing a slide valve-oil servomotor jam fault model, discretizing the model, calculating the partial derivative of the model, and performing state estimation with a strong tracking Kalman filter. The steam turbine regulating system jam fault diagnosis method is mainly characterized in that the strong tracking Kalman filter is used to simultaneously estimate the jam magnitudes of the slide valve and the oil servomotor in the slide valve-oil servomotor jam model, thereby providing a theoretical basis to the actual on-line jam fault diagnosis. According to the invention, by inputting an oil servomotor control command u and an oil servomotor output e, the slide valve jam magnitude and the oil servomotor jam magnitude of the system can be simultaneously and accurately diagnosed without increasing additional measuring points of the system, thereby realizing the on-line diagnosis.

Description

technical field [0001] The invention relates to a stuck fault diagnosis method for a steam turbine regulating system. Background technique [0002] Spool valves, hydraulic cylinders and other structures are widely used in the steam turbine regulating system. Spool valve jamming failures often occur during operation, resulting in insensitive load addition and subtraction operations. When the jamming disappears instantly, there will be a sudden change in load, and the speed will be unstable when the unit is started. It cannot be connected to the grid, and it will cause overspeed when the load is shed, which may cause serious accidents. The direct cause of jamming failure is the dry friction between the moving interfaces. Contents of the invention [0003] The purpose of the present invention is to provide a jamming fault diagnosis method of steam turbine regulation system based on strong tracking Kalman filter, to give jamming fault information at an early stage through onl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M15/00
Inventor 冯永新蔡笋刘金福宋崇明于达仁
Owner ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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