Online fault diagnosis method for non-stationary fault characteristics of million-kilowatt ultra-supercritical unit

A non-stationary and stationary technology, applied in the field of statistical monitoring of non-stationary processes, can solve problems such as failures of mega-kilowatt ultra-supercritical units and research reports that have not yet been seen

Active Publication Date: 2018-09-04
ZHEJIANG UNIV
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Problems solved by technology

However, there are two problems when the online fault diagnosis method based on traditional multivariate statistical analysis is applied to the production process of the actual ultra-supercritical 1 million-kilowatt unit: First, many failures may occur during the operation of the 1-million-kilowatt ultra-supercritical unit
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  • Online fault diagnosis method for non-stationary fault characteristics of million-kilowatt ultra-supercritical unit
  • Online fault diagnosis method for non-stationary fault characteristics of million-kilowatt ultra-supercritical unit
  • Online fault diagnosis method for non-stationary fault characteristics of million-kilowatt ultra-supercritical unit

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Embodiment Construction

[0095] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific examples.

[0096] The production process of large-scale coal-fired power generation, especially the fault process, is a typical non-stationary process, and some of the variables have obvious non-stationary characteristics, such as the circulating water pressure of the condenser, the inlet steam pressure of the high-pressure heater, and the condensation at the inlet of the deaerator. water volume etc. The present invention takes unit No. 7 of Jiahua Power Plant, a subsidiary of Zheneng Group, as an example. The unit has a power of 10,000MW and is an ultra-supercritical unit of one million kilowatts. It includes 46 process variables, and these variables involve pressure, temperature, flow rate, flow rate, etc. .

[0097] Such as figure 2 As shown, the present invention is an online fault diagnosis method for the non-stationary fault characteristic...

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Abstract

The present invention discloses an online fault diagnosis method for non-stationary fault characteristics of a million-kilowatt supercritical unit. The method disclosed by the present invention aims at the non-stationary and complex and changeable characteristics of the fault process of a million-kilowatt supercritical unit, and combines the co-integration analysis and the variable selection baseddual model for fault diagnosis. According to the method disclosed by the present invention, the non-stationary characteristics of the fault process of large coal-fired units are overcome, potential information contained in the faults is fully exploited, a dual diagnostic model is established to supplement each other, the problem of the difficulty in online diagnosis in the complex and non-stationary fault process is effectively solved, the performance of online diagnosis in the non-stationary fault process is greatly improved, and the on-site engineers can accurately repair the faults in a facilitated manner, so that the safe and reliable operation of the million-kilowatt ultra-supercritical generator unit is ensured, and production efficiency is improved.

Description

technical field [0001] The invention belongs to the field of statistical monitoring of non-stationary processes, in particular to an online fault diagnosis method for the non-stationary fault characteristics of ultra-supercritical units of one million kilowatts. Background technique [0002] In recent years, in order to achieve the sustainable development of electric power, the thermal power industry has actively carried out structural adjustments, replacing high-energy small thermal power units with large-capacity, high-parameter, low-energy supercritical and ultra-supercritical units, basically forming an ultra-supercritical The power energy structure with the unit as the main body. The thermal system of a million-kilowatt ultra-supercritical unit is an extremely complex industrial process, with a large scale, a large number of equipment, and many parameters that affect each other. The site has the characteristics of high temperature, high pressure, and high noise. [000...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q10/0639G06Q50/06
Inventor 赵春晖胡赟昀
Owner ZHEJIANG UNIV
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