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Marine gas turbine cross-time scale state prediction method

A technology of gas turbines and forecasting methods, applied in forecasting, data processing applications, resources, etc., can solve the problems of large number of historical data reads, long calculation time, low accuracy, etc., to increase prediction accuracy, enhance real-time performance, The effect of increasing relevance

Pending Publication Date: 2022-04-01
HARBIN ENG UNIV +1
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  • Application Information

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Problems solved by technology

[0003] The embodiment of the present application provides a cross-time-scale state prediction method for marine gas turbines to at least solve the problems of the existing gas turbine state prediction methods, such as the large number of historical data reads, long calculation time, poor real-time performance, and low accuracy

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  • Marine gas turbine cross-time scale state prediction method
  • Marine gas turbine cross-time scale state prediction method
  • Marine gas turbine cross-time scale state prediction method

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Embodiment Construction

[0034] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0035] Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios. In addition, it can also be understood that although such development efforts may be complex and lengthy, for those of ...

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Abstract

The invention provides a marine gas turbine cross-time scale state prediction method, which comprises the following steps: by taking a first time unit as an interval, collecting the exhaust temperature of a gas turbine at each first time unit moment; according to the exhaust temperature of each first time unit moment, health parameters of the gas turbine at each first time unit moment are calculated through a preset rule; when timing of the first time unit reaches a second time unit, the health parameters at all the moments of the first time unit in the second time unit are obtained, the health state degradation trend of the gas turbine is judged according to changes of the health parameters, and if the degradation trend exists, the gas turbine is started. And if so, predicting the health parameter under the next first time unit moment through a unary linear regression prediction algorithm. The gas turbine state prediction method solves the problems that an existing gas turbine state prediction method is large in historical data reading quantity, long in calculation time, poor in real-time performance and low in accuracy.

Description

technical field [0001] The invention belongs to the technical field of gas turbine state monitoring, in particular to a method for predicting the state of a marine gas turbine across time scales. Background technique [0002] Marine gas turbines work in high-temperature, high-pressure, and high-salt spray environments, and at the same time face large changes in working conditions. During operation, compressors, turbines and other components inevitably suffer from wear, corrosion, and salt accumulation, resulting in attenuation of marine gas turbine performance. . From a normal state to a fault equilibrium state of a gas turbine, a series of changes will occur in the exhaust gas temperature after the turbine has done work. Therefore, the working condition of the gas turbine can be evaluated by the change of the exhaust gas temperature. However, the time scale of the current gas turbine state prediction method is mostly consistent with the original data sampling time scale, ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06
Inventor 曹云鹏凌瑞严励高滨李淑英姜彦学李宗澍
Owner HARBIN ENG UNIV
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