Turbine blade wear monitoring method based on historical data

Abstract

The invention relates to a turbine blade abrasion monitoring method based on historical data. The method comprises the steps: collecting historical stable operation data of a unit; obtaining the flow of each stage group through one-dimensional thermodynamic calculation; calculating the equivalent throat area of the level, and establishing a historical thermal data file; collecting unit operation data in real time; calculating a real-time equivalent throat area; comparing the equivalent throat area data calculated in real time with a historical data file, judging whether abrasion occurs or not, and if the blades are abraded, defining a difference value between the equivalent throat area calculated in real time and historical data as a wear coefficient, determining the wear degree by taking the wear coefficient as a wear index, sending out a corresponding early warning signal according to the determined wear degree, and generating a wear trend curve. The wear degree of the turbine blade can be monitored in real time; the abrasion problem can be found in time, blade abrasion fault prediction is achieved, and further deterioration of blade abrasion is avoided; meanwhile, the calculation result is more reasonable and accurate.

Description

technical field [0001] The invention belongs to the field of steam turbine operation monitoring in thermal power plants, in particular to a method for monitoring the wear of steam turbine blades based on historical data. Background technique [0002] As thermal power units frequently participate in peak regulation, higher requirements are put forward for the safe operation of steam turbines. Under deep peak shaving, the steam turbine operates under low load for a long time, and the flow parts of the steam turbine, especially the blades, are prone to wear and other failures, which will affect the safety and economy of unit operation, and online monitoring of blade safety is required. At present, the safe operation of steam turbines is mostly focused on the rotor system, and most of them are the diagnosis after the fault occurs. There are few reports on the safety online monitoring of steam turbine blades, especially the online monitoring of blade wear. [0003] At present, s...

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Problems solved by technology

[0003] At present, steam turbine units in thermal power plants do not have an online monitoring method for blade wear. They cannot accurately monitor blade wear in real time and evaluate it. They cannot detect changes in steam turbine safety parameters in time, resulting in damage to blades and reduced efficiency, which affects the safe operation of steam turbines.

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